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[e94]Ales Leonardis
, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15059, Springer 2025, ISBN 978-3-031-73231-7 [contents]- [e93]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15060, Springer 2025, ISBN 978-3-031-72626-2 [contents] - [e92]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15061, Springer 2025, ISBN 978-3-031-72645-3 [contents] - [e91]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15062, Springer 2025, ISBN 978-3-031-73234-8 [contents] - [e90]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15063, Springer 2025, ISBN 978-3-031-72651-4 [contents] - [e89]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15064, Springer 2025, ISBN 978-3-031-72657-6 [contents] - [e88]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15065, Springer 2025, ISBN 978-3-031-72666-8 [contents] - [e87]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15066, Springer 2025, ISBN 978-3-031-73241-6 [contents] - [e86]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15067, Springer 2025, ISBN 978-3-031-72672-9 [contents] - [e85]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15068, Springer 2025, ISBN 978-3-031-72683-5 [contents] - [e84]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XI. Lecture Notes in Computer Science 15069, Springer 2025, ISBN 978-3-031-73246-1 [contents] - [e83]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XII. Lecture Notes in Computer Science 15070, Springer 2025, ISBN 978-3-031-73253-9 [contents] - [e82]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XIII. Lecture Notes in Computer Science 15071, Springer 2025, ISBN 978-3-031-72623-1 [contents] - [e81]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XV. Lecture Notes in Computer Science 15073, Springer 2025, ISBN 978-3-031-72632-3 [contents] - [e80]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XVI. Lecture Notes in Computer Science 15074, Springer 2025, ISBN 978-3-031-72639-2 [contents] - [e79]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XVII. Lecture Notes in Computer Science 15075, Springer 2025, ISBN 978-3-031-72642-2 [contents] - [e78]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XVIII. Lecture Notes in Computer Science 15076, Springer 2025, ISBN 978-3-031-72648-4 [contents] - [e77]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XX. Lecture Notes in Computer Science 15078, Springer 2025, ISBN 978-3-031-72660-6 [contents] - [e76]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXI. Lecture Notes in Computer Science 15079, Springer 2025, ISBN 978-3-031-72663-7 [contents] - [e75]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXII. Lecture Notes in Computer Science 15080, Springer 2025, ISBN 978-3-031-72669-9 [contents] - [e74]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXIII. Lecture Notes in Computer Science 15081, Springer 2025, ISBN 978-3-031-73336-9 [contents] - [e73]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXIV. Lecture Notes in Computer Science 15082, Springer 2025, ISBN 978-3-031-72690-3 [contents] - [e72]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXV. Lecture Notes in Computer Science 15083, Springer 2025, ISBN 978-3-031-72697-2 [contents] - [e71]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXVI. Lecture Notes in Computer Science 15084, Springer 2025, ISBN 978-3-031-73346-8 [contents] - [e70]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXVII. Lecture Notes in Computer Science 15085, Springer 2025, ISBN 978-3-031-73382-6 [contents] - [e69]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXVIII. Lecture Notes in Computer Science 15086, Springer 2025, ISBN 978-3-031-73389-5 [contents] - [e68]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXIX. Lecture Notes in Computer Science 15087, Springer 2025, ISBN 978-3-031-73396-3 [contents] - [e67]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXX. Lecture Notes in Computer Science 15088, Springer 2025, ISBN 978-3-031-73403-8 [contents] - [e66]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXI. Lecture Notes in Computer Science 15089, Springer 2025, ISBN 978-3-031-72750-4 [contents] - [e65]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXII. Lecture Notes in Computer Science 15090, Springer 2025, ISBN 978-3-031-73410-6 [contents] - [e64]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXIII. Lecture Notes in Computer Science 15091, Springer 2025, ISBN 978-3-031-73413-7 [contents] - [e63]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXIV. Lecture Notes in Computer Science 15092, Springer 2025, ISBN 978-3-031-72753-5 [contents] - [e62]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXV. Lecture Notes in Computer Science 15093, Springer 2025, ISBN 978-3-031-72760-3 [contents] - [e61]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXVI. Lecture Notes in Computer Science 15094, Springer 2025, ISBN 978-3-031-72763-4 [contents] - [e60]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXVII. Lecture Notes in Computer Science 15095, Springer 2025, ISBN 978-3-031-72912-6 [contents] - [e59]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXVIII. Lecture Notes in Computer Science 15096, Springer 2025, ISBN 978-3-031-72919-5 [contents] - [e58]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXIX. Lecture Notes in Computer Science 15097, Springer 2025, ISBN 978-3-031-72932-4 [contents] - [e57]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XL. Lecture Notes in Computer Science 15098, Springer 2025, ISBN 978-3-031-73660-5 [contents] - [e56]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLI. Lecture Notes in Computer Science 15099, Springer 2025, ISBN 978-3-031-72939-3 [contents] - [e55]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLII. Lecture Notes in Computer Science 15100, Springer 2025, ISBN 978-3-031-72945-4 [contents] - [e54]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLIII. Lecture Notes in Computer Science 15101, Springer 2025, ISBN 978-3-031-72774-0 [contents] - [e53]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLIV. Lecture Notes in Computer Science 15102, Springer 2025, ISBN 978-3-031-72783-2 [contents] - [e52]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLV. Lecture Notes in Computer Science 15103, Springer 2025, ISBN 978-3-031-72994-2 [contents] - [e51]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLVI. Lecture Notes in Computer Science 15104, Springer 2025, ISBN 978-3-031-72951-5 [contents] - [e50]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLVII. Lecture Notes in Computer Science 15105, Springer 2025, ISBN 978-3-031-72969-0 [contents] - [e49]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLVIII. Lecture Notes in Computer Science 15106, Springer 2025, ISBN 978-3-031-73194-5 [contents] - [e48]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XLIX. Lecture Notes in Computer Science 15107, Springer 2025, ISBN 978-3-031-72966-9 [contents] - [e47]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part L. Lecture Notes in Computer Science 15108, Springer 2025, ISBN 978-3-031-72972-0 [contents] - [e46]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LI. Lecture Notes in Computer Science 15109, Springer 2025, ISBN 978-3-031-72982-9 [contents] - [e45]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LII. Lecture Notes in Computer Science 15110, Springer 2025, ISBN 978-3-031-72942-3 [contents] - [e44]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LIII. Lecture Notes in Computer Science 15111, Springer 2025, ISBN 978-3-031-73667-4 [contents] - [e43]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LIV. Lecture Notes in Computer Science 15112, Springer 2025, ISBN 978-3-031-72948-5 [contents] - [e42]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LV. Lecture Notes in Computer Science 15113, Springer 2025, ISBN 978-3-031-73000-9 [contents] - [e41]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LVI. Lecture Notes in Computer Science 15114, Springer 2025, ISBN 978-3-031-72991-1 [contents] - [e40]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LVII. Lecture Notes in Computer Science 15115, Springer 2025, ISBN 978-3-031-72997-3 [contents] - [e39]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LVIII. Lecture Notes in Computer Science 15116, Springer 2025, ISBN 978-3-031-73635-3 [contents] - [e38]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LIX. Lecture Notes in Computer Science 15117, Springer 2025, ISBN 978-3-031-73201-0 [contents] - [e37]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LX. Lecture Notes in Computer Science 15118, Springer 2025, ISBN 978-3-031-73026-9 [contents] - [e36]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXI. Lecture Notes in Computer Science 15119, Springer 2025, ISBN 978-3-031-73029-0 [contents] - [e35]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXII. Lecture Notes in Computer Science 15120, Springer 2025, ISBN 978-3-031-73032-0 [contents] - [e34]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXIII. Lecture Notes in Computer Science 15121, Springer 2025, ISBN 978-3-031-73035-1 [contents] - [e33]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXIV. Lecture Notes in Computer Science 15122, Springer 2025, ISBN 978-3-031-73038-2 [contents] - [e32]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXV. Lecture Notes in Computer Science 15123, Springer 2025, ISBN 978-3-031-73649-0 [contents] - [e31]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXVI. Lecture Notes in Computer Science 15124, Springer 2025, ISBN 978-3-031-72847-1 [contents] - [e30]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXVII. Lecture Notes in Computer Science 15125, Springer 2025, ISBN 978-3-031-72854-9 [contents] - [e29]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXVIII. Lecture Notes in Computer Science 15126, Springer 2025, ISBN 978-3-031-73112-9 [contents] - [e28]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXX. Lecture Notes in Computer Science 15128, Springer 2025, ISBN 978-3-031-72896-9 [contents] - [e27]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXI. Lecture Notes in Computer Science 15129, Springer 2025, ISBN 978-3-031-73208-9 [contents] - [e26]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXII. Lecture Notes in Computer Science 15130, Springer 2025, ISBN 978-3-031-73219-5 [contents] - [e25]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXIII. Lecture Notes in Computer Science 15131, Springer 2025, ISBN 978-3-031-73463-2 [contents] - [e24]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXIV. Lecture Notes in Computer Science 15132, Springer 2025, ISBN 978-3-031-72903-4 [contents] - [e23]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXV. Lecture Notes in Computer Science 15133, Springer 2025, ISBN 978-3-031-73225-6 [contents] - [e22]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXVI. Lecture Notes in Computer Science 15134, Springer 2025, ISBN 978-3-031-73115-0 [contents] - [e21]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXVIII. Lecture Notes in Computer Science 15136, Springer 2025, ISBN 978-3-031-73228-7 [contents] - [e20]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXIX. Lecture Notes in Computer Science 15137, Springer 2025, ISBN 978-3-031-72985-0 [contents] - [e19]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXX. Lecture Notes in Computer Science 15138, Springer 2025, ISBN 978-3-031-72988-1 [contents] - [e18]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXXI. Lecture Notes in Computer Science 15139, Springer 2025, ISBN 978-3-031-73003-0 [contents] - [e17]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXXII. Lecture Notes in Computer Science 15140, Springer 2025, ISBN 978-3-031-73006-1 [contents] - [e16]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXXIII. Lecture Notes in Computer Science 15141, Springer 2025, ISBN 978-3-031-73009-2 [contents] - [e15]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXXIV. Lecture Notes in Computer Science 15142, Springer 2025, ISBN 978-3-031-72906-5 [contents] - [e14]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXXV. Lecture Notes in Computer Science 15143, Springer 2025, ISBN 978-3-031-73012-2 [contents] - [e13]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXXVI. Lecture Notes in Computer Science 15144, Springer 2025, ISBN 978-3-031-73015-3 [contents] - [e12]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXXVII. Lecture Notes in Computer Science 15145, Springer 2025, ISBN 978-3-031-73020-7 [contents] - [e11]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXXVIII. Lecture Notes in Computer Science 15146, Springer 2025, ISBN 978-3-031-73222-5 [contents] - [e10]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXXIX. Lecture Notes in Computer Science 15147, Springer 2025, ISBN 978-3-031-73023-8 [contents] - 2024
- [j72]Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan:
Wavelet-based network for high dynamic range imaging. Comput. Vis. Image Underst. 238: 103881 (2024) - [j71]Nanqing Dong, Linus Ericsson, Yongxin Yang, Ales Leonardis, Steven McDonagh:
Label-efficient object detection via region proposal network pre-training. Neurocomputing 577: 127376 (2024) - [j70]Tianyang Zhang, Shaoming Zheng, Jun Cheng, Xi Jia, Joseph Bartlett, Xinxing Cheng, Zhaowen Qiu, Huazhu Fu, Jiang Liu, Ales Leonardis, Jinming Duan:
Structure and Intensity Unbiased Translation for 2D Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10060-10075 (2024) - [j69]Jinyu Yang, Mingqi Gao, Feng Zheng, Xiantong Zhen, Rongrong Ji, Ling Shao, Ales Leonardis:
Weakly-Supervised RGBD Video Object Segmentation. IEEE Trans. Image Process. 33: 2158-2170 (2024) - [c174]Zhongqun Zhang, Jifei Song, Eduardo Pérez-Pellitero, Yiren Zhou, Hyung Jin Chang, Ales Leonardis:
NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction. 3DV 2024: 387-396 - [c173]Linfang Zheng, Tze Ho Elden Tse, Chen Wang, Yinghan Sun, Hua Chen, Ales Leonardis, Wei Zhang, Hyung Jin Chang:
GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement. CVPR 2024: 10693-10703 - [c172]Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen:
Multi-task Learning with 3D-Aware Regularization. ICLR 2024 - [c171]Alexander Krull, Hector Basevi, Benjamin Salmon, Andre Zeug, Franziska Müller, Samuel Tonks, Leela Muppala, Ales Leonardis:
Image Denoising and the Generative Accumulation of Photons. WACV 2024: 1517-1526 - [e9]Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXVII. Lecture Notes in Computer Science 15135, Springer 2024, ISBN 978-3-031-72979-9 [contents] - [i80]Zhongqun Zhang, Jifei Song, Eduardo Pérez-Pellitero, Yiren Zhou, Hyung Jin Chang, Ales Leonardis:
NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction. CoRR abs/2402.05532 (2024) - [i79]Linfang Zheng, Tze Ho Elden Tse, Chen Wang, Yinghan Sun, Hua Chen, Ales Leonardis, Wei Zhang:
GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement. CoRR abs/2404.11139 (2024) - [i78]Danai Triantafyllidou, Sarah Parisot, Ales Leonardis, Steven McDonagh:
Improving Object Detection via Local-global Contrastive Learning. CoRR abs/2410.05058 (2024) - [i77]Jinyu Yang, Qingwei Wang, Feng Zheng, Peng Chen, Ales Leonardis, Deng-Ping Fan:
PlantCamo: Plant Camouflage Detection. CoRR abs/2410.17598 (2024) - [i76]Yehe Liu, Alexander Krull, Hector Basevi, Ales Leonardis, Michael W. Jenkins:
bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction. CoRR abs/2410.23247 (2024) - 2023
- [j68]Nora Horanyi, Yuqi Hou, Ales Leonardis, Hyung Jin Chang:
G-DAIC: A Gaze Initialized Framework for Description and Aesthetic-Based Image Cropping. Proc. ACM Hum. Comput. Interact. 7(ETRA): 1-19 (2023) - [j67]Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip H. S. Torr, Ales Leonardis, Gregory G. Slabaugh:
Diagnosing and Preventing Instabilities in Recurrent Video Processing. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1594-1605 (2023) - [c170]HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leonardis, Nassir Navab, Benjamin Busam:
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks. CVPR 2023: 780-791 - [c169]Nora Horanyi, Linfang Zheng, Eunji Chong, Ales Leonardis, Hyung Jin Chang:
Where are they looking in the 3D space? CVPR Workshops 2023: 2678-2687 - [c168]Jinyu Yang, Shang Gao, Zhe Li, Feng Zheng, Ales Leonardis:
Resource-Efficient RGBD Aerial Tracking. CVPR 2023: 13374-13383 - [c167]Linfang Zheng, Chen Wang, Yinghan Sun, Esha Dasgupta, Hua Chen, Ales Leonardis, Wei Zhang, Hyung Jin Chang:
HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation. CVPR 2023: 17163-17173 - [c166]Matteo Maggioni, Thomas Tanay, Francesca Babiloni, Steven McDonagh, Ales Leonardis:
Tunable Convolutions with Parametric Multi-Loss Optimization. CVPR 2023: 20226-20236 - [c165]Thomas Tanay, Ales Leonardis, Matteo Maggioni:
Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations. CVPR 2023: 20898-20907 - [c164]Francesca Babiloni, Matteo Maggioni, Thomas Tanay, Jiankang Deng, Ales Leonardis, Stefanos Zafeiriou:
Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes. ICCV 2023: 14574-14585 - [c163]Jiali Zheng, Youngkyoon Jang, Athanasios Papaioannou, Christos Kampouris, Rolandos Alexandros Potamias, Foivos Paraperas Papantoniou, Efstathios Galanakis, Ales Leonardis, Stefanos Zafeiriou:
ILSH: The Imperial Light-Stage Head Dataset for Human Head View Synthesis. ICCV (Workshops) 2023: 1104-1112 - [c162]Youngkyoon Jang, Jiali Zheng, Jifei Song, Helisa Dhamo, Eduardo Pérez-Pellitero, Thomas Tanay, Matteo Maggioni, Richard Shaw, Sibi Catley-Chandar, Yiren Zhou, Jiankang Deng, Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang, Khanh-Binh Nguyen, Joon-Sung Yang, Andreea Dogaru, Bernhard Egger, Heng Yu, Aarush Gupta, Joel Julin, László A. Jeni, Hyeseong Kim, Jungbin Cho, Dosik Hwang, Deukhee Lee, Doyeon Kim, Dongseong Seo, SeungJin Jeon, YoungDon Choi, Jun Seok Kang, Ahmet Cagatay Seker, Sang Chul Ahn, Ales Leonardis, Stefanos Zafeiriou:
VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads. ICCV (Workshops) 2023: 1113-1120 - [i75]HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leonardis, Nassir Navab, Benjamin Busam:
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks. CoRR abs/2303.14840 (2023) - [i74]Linfang Zheng, Chen Wang, Yinghan Sun, Esha Dasgupta, Hua Chen, Ales Leonardis, Wei Zhang, Hyung Jin Chang:
HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation. CoRR abs/2303.15743 (2023) - [i73]Thomas Tanay, Ales Leonardis, Matteo Maggioni:
Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations. CoRR abs/2303.18139 (2023) - [i72]Matteo Maggioni, Thomas Tanay, Francesca Babiloni, Steven McDonagh, Ales Leonardis:
Tunable Convolutions with Parametric Multi-Loss Optimization. CoRR abs/2304.00898 (2023) - [i71]Alexander Krull, Hector Basevi, Benjamin Salmon, Andre Zeug, Franziska Müller, Samuel Tonks, Leela Muppala, Ales Leonardis:
Image Denoising and the Generative Accumulation of Photons. CoRR abs/2307.06607 (2023) - [i70]Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen:
Multi-task Learning with 3D-Aware Regularization. CoRR abs/2310.00986 (2023) - [i69]Jiali Zheng, Youngkyoon Jang, Athanasios Papaioannou, Christos Kampouris, Rolandos Alexandros Potamias, Foivos Paraperas Papantoniou, Efstathios Galanakis, Ales Leonardis, Stefanos Zafeiriou:
ILSH: The Imperial Light-Stage Head Dataset for Human Head View Synthesis. CoRR abs/2310.03952 (2023) - 2022
- [j66]Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
A Continual Learning Survey: Defying Forgetting in Classification Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3366-3385 (2022) - [j65]Bolun Zheng, Shanxin Yuan, Chenggang Yan, Xiang Tian, Jiyong Zhang, Yaoqi Sun, Lin Liu, Ales Leonardis, Gregory G. Slabaugh:
Learning Frequency Domain Priors for Image Demoireing. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7705-7717 (2022) - [j64]Nora Horanyi, Kedi Xia, Kwang Moo Yi, Abhishake Kumar Bojja, Ales Leonardis, Hyung Jin Chang:
Repurposing existing deep networks for caption and aesthetic-guided image cropping. Pattern Recognit. 126: 108485 (2022) - [j63]Antonio Alliegro, Martin Rudorfer, Fabio Frattin, Ales Leonardis, Tatiana Tommasi:
End-to-End Learning to Grasp via Sampling From Object Point Clouds. IEEE Robotics Autom. Lett. 7(4): 9865-9872 (2022) - [j62]Sibi Catley-Chandar, Thomas Tanay, Lucas Vandroux, Ales Leonardis, Gregory G. Slabaugh, Eduardo Pérez-Pellitero:
FlexHDR: Modeling Alignment and Exposure Uncertainties for Flexible HDR Imaging. IEEE Trans. Image Process. 31: 5923-5935 (2022) - [j61]Xi Jia, Alexander Thorley, Wei Chen, Huaqi Qiu, Linlin Shen, Iain B. Styles, Hyung Jin Chang, Ales Leonardis, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Jinming Duan:
Learning a Model-Driven Variational Network for Deformable Image Registration. IEEE Trans. Medical Imaging 41(1): 199-212 (2022) - [c161]Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero:
Model-Based Image Signal Processors via Learnable Dictionaries. AAAI 2022: 481-489 - [c160]Xue Hu, Xinghui Li, Benjamin Busam, Yiren Zhou, Ales Leonardis, Shanxin Yuan:
Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment. BMVC 2022: 31 - [c159]William Thong, José Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh:
Content-Diverse Comparisons improve IQA. BMVC 2022: 244 - [c158]Richard Shaw, Sibi Catley-Chandar, Ales Leonardis, Eduardo Pérez-Pellitero:
HDR Reconstruction from Bracketed Exposures and Events. BMVC 2022: 603 - [c157]Hector Basevi, Ales Leonardis:
Imagining Hidden Supporting Objects using Volumetric Conditional GANs and Differentiable Stability Scores. BMVC 2022: 682 - [c156]Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park:
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CVPR Workshops 2022: 1008-1022 - [c155]Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, Hyung Jin Chang:
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution. CVPR 2022: 1654-1664 - [c154]Yannick Verdié, Jifei Song, Barnabé Mas, Benjamin Busam, Ales Leonardis, Steven McDonagh:
CroMo: Cross-Modal Learning for Monocular Depth Estimation. CVPR 2022: 3927-3937 - [c153]Jinyu Yang, Zhongqun Zhang, Zhe Li, Hyung Jin Chang, Ales Leonardis, Feng Zheng:
Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline. ECCV (22) 2022: 112-128 - [c152]Zhongqun Zhang, Wei Chen, Linfang Zheng, Ales Leonardis, Hyung Jin Chang:
Trans6D: Transformer-Based 6D Object Pose Estimation and Refinement. ECCV Workshops (8) 2022: 112-128 - [c151]Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460 - [c150]Shang Gao, Jinyu Yang, Zhe Li, Feng Zheng, Ales Leonardis, Jingkuan Song:
Learning Dual-Fused Modality-Aware Representations for RGBD Tracking. ECCV Workshops (8) 2022: 478-494 - [c149]Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang:
S2Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-supervised Learning. ECCV (1) 2022: 568-584 - [c148]Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham:
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds. ECCV (27) 2022: 600-619 - [c147]Linfang Zheng, Ales Leonardis, Tze Ho Elden Tse, Nora Horanyi, Hua Chen, Wei Zhang, Hyung Jin Chang:
TP-AE: Temporally Primed 6D Object Pose Tracking with Auto-Encoders. ICRA 2022: 10616-10623 - [c146]Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh:
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. IJCAI 2022: 2930-2936 - [c145]Mohammad Ani, Hector Basevi, Ales Leonardis:
Conditional Patch-Based Domain Randomization: Improving Texture Domain Randomization Using Natural Image Patches. IROS 2022: 1979-1985 - [c144]Jinyu Yang, Zhe Li, Feng Zheng, Ales Leonardis, Jingkuan Song:
Prompting for Multi-Modal Tracking. ACM Multimedia 2022: 3492-3500 - [i68]Nora Horanyi, Kedi Xia, Kwang Moo Yi, Abhishake Kumar Bojja, Ales Leonardis, Hyung Jin Chang:
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping. CoRR abs/2201.02280 (2022) - [i67]Sibi Catley-Chandar, Thomas Tanay, Lucas Vandroux, Ales Leonardis, Gregory G. Slabaugh, Eduardo Pérez-Pellitero:
FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging. CoRR abs/2201.02625 (2022) - [i66]Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero:
Model-Based Image Signal Processors via Learnable Dictionaries. CoRR abs/2201.03210 (2022) - [i65]Antonio Alliegro, Martin Rudorfer, Fabio Frattin, Ales Leonardis, Tatiana Tommasi:
End-to-End Learning to Grasp from Object Point Clouds. CoRR abs/2203.05585 (2022) - [i64]Michal Nazarczuk, Sibi Catley-Chandar, Ales Leonardis, Eduardo Pérez-Pellitero:
Self-supervised HDR Imaging from Motion and Exposure Cues. CoRR abs/2203.12311 (2022) - [i63]Yannick Verdié, Jifei Song, Barnabé Mas, Benjamin Busam, Ales Leonardis, Steven McDonagh:
CroMo: Cross-Modal Learning for Monocular Depth Estimation. CoRR abs/2203.12485 (2022) - [i62]Jinyu Yang, Zhe Li, Song Yan, Feng Zheng, Ales Leonardis, Joni-Kristian Kämäräinen, Ling Shao:
RGBD Object Tracking: An In-depth Review. CoRR abs/2203.14134 (2022) - [i61]Richard Shaw, Sibi Catley-Chandar, Ales Leonardis, Eduardo Pérez-Pellitero:
HDR Reconstruction from Bracketed Exposures and Events. CoRR abs/2203.14825 (2022) - [i60]Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, Hyung Jin Chang:
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution. CoRR abs/2204.13062 (2022) - [i59]HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leonardis, Benjamin Busam:
Is my Depth Ground-Truth Good Enough? HAMMER - Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression. CoRR abs/2205.04565 (2022) - [i58]Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park:
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CoRR abs/2205.12633 (2022) - [i57]Martin Rudorfer, Markus Suchi, Mohan Sridharan, Markus Vincze, Ales Leonardis:
BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World. CoRR abs/2205.14099 (2022) - [i56]Jinyu Yang, Zhe Li, Feng Zheng, Ales Leonardis, Jingkuan Song:
Prompting for Multi-Modal Tracking. CoRR abs/2207.14571 (2022) - [i55]Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang:
S2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning. CoRR abs/2208.00874 (2022) - [i54]Xue Hu, Xinghui Li, Benjamin Busam, Yiren Zhou, Ales Leonardis, Shanxin Yuan:
Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment. CoRR abs/2208.03167 (2022) - [i53]Shang Gao, Jinyu Yang, Zhe Li, Feng Zheng, Ales Leonardis, Jingkuan Song:
Learning Dual-Fused Modality-Aware Representations for RGBD Tracking. CoRR abs/2211.03055 (2022) - [i52]William Thong, José Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh:
Content-Diverse Comparisons improve IQA. CoRR abs/2211.05215 (2022) - [i51]Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh:
Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. CoRR abs/2211.09022 (2022) - [i50]Wei Chen, Xi Jia, Zhongqun Zhang, Hyung Jin Chang, Linlin Shen, Ales Leonardis:
Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation. CoRR abs/2212.04632 (2022) - 2021
- [j60]Kyuewang Lee, Hyung Jin Chang, Jongwon Choi, Byeongho Heo, Ales Leonardis, Jin Young Choi:
Motion-aware ensemble of three-mode trackers for unmanned aerial vehicles. Mach. Vis. Appl. 32(3): 54 (2021) - [j59]Tiago Mota, Mohan Sridharan, Ales Leonardis:
Integrated Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics. SN Comput. Sci. 2(4): 242 (2021) - [j58]Yu Zhang, Peter Tiño, Ales Leonardis, Ke Tang:
A Survey on Neural Network Interpretability. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 726-742 (2021) - [c143]HyunJun Jung, Nikolas Brasch, Ales Leonardis, Nassir Navab, Benjamin Busam:
Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments. 3DV 2021: 239-248 - [c142]Song Yan, Jinyu Yang, Ales Leonardis, Joni-Kristian Kamarainen:
Depth-only Object Tracking. BMVC 2021: 243 - [c141]Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Ales Leonardis, Radu Timofte:
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results. CVPR Workshops 2021: 691-700 - [c140]Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Linlin Shen, Ales Leonardis:
FS-Net: Fast Shape-Based Network for Category-Level 6D Object Pose Estimation With Decoupled Rotation Mechanism. CVPR 2021: 1581-1590 - [c139]Song Yan, Jinyu Yang, Jani Käpylä, Feng Zheng, Ales Leonardis, Joni-Kristian Kämäräinen:
DepthTrack: Unveiling the Power of RGBD Tracking. ICCV 2021: 10705-10713 - [c138]Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [i49]Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Linlin Shen, Ales Leonardis:
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism. CoRR abs/2103.07054 (2021) - [i48]Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham:
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels. CoRR abs/2104.04891 (2021) - [i47]Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, José Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa:
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CoRR abs/2105.03072 (2021) - [i46]Xi Jia, Alexander Thorley, Wei Chen, Huaqi Qiu, Linlin Shen, Iain B. Styles, Hyung Jin Chang, Ales Leonardis, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Jinming Duan:
Learning a Model-Driven Variational Network for Deformable Image Registration. CoRR abs/2105.12227 (2021) - [i45]Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Ales Leonardis, Radu Timofte:
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results. CoRR abs/2106.01439 (2021) - [i44]Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh:
Residual Contrastive Learning for Joint Demosaicking and Denoising. CoRR abs/2106.10070 (2021) - [i43]Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan:
Wavelet-Based Network For High Dynamic Range Imaging. CoRR abs/2108.01434 (2021) - [i42]Song Yan, Jinyu Yang, Jani Käpylä, Feng Zheng, Ales Leonardis, Joni-Kristian Kämäräinen:
DepthTrack : Unveiling the Power of RGBD Tracking. CoRR abs/2108.13962 (2021) - [i41]Song Yan, Jinyu Yang, Ales Leonardis, Joni-Kristian Kamarainen:
Depth-only Object Tracking. CoRR abs/2110.11679 (2021) - [i40]Hyun Jun Jung, Nikolas Brasch, Ales Leonardis, Nassir Navab, Benjamin Busam:
Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments. CoRR abs/2112.03750 (2021) - 2020
- [j57]Domen Tabernik, Matej Kristan, Ales Leonardis:
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks. Int. J. Comput. Vis. 128(8): 2049-2067 (2020) - [j56]Gregor Koporec, Andrej Kosir, Ales Leonardis, Janez Pers:
Cognitive Relevance Transform for Population Re-Targeting. Sensors 20(17): 4668 (2020) - [c137]Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory G. Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, Vien Gia An, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S. Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P. S, C. V. Jiji, Ashish Sinha, Xuan Zhao:
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. CVPR Workshops 2020: 1882-1893 - [c136]Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh:
A Multi-Hypothesis Approach to Color Constancy. CVPR 2020: 2267-2277 - [c135]Bolun Zheng, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis:
Image Demoireing with Learnable Bandpass Filters. CVPR 2020: 3633-3642 - [c134]Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Ales Leonardis:
G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features. CVPR 2020: 4232-4241 - [c133]Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem. CVPR 2020: 14451-14460 - [c132]Carlo Biffi, Steven McDonagh, Philip H. S. Torr, Ales Leonardis, Sarah Parisot:
Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection. ECCV (8) 2020: 35-50 - [c131]Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian:
Wavelet-Based Dual-Branch Network for Image Demoiréing. ECCV (13) 2020: 86-102 - [c130]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [c129]Yu Liu, Sarah Parisot, Gregory G. Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars:
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning. ECCV (26) 2020: 699-716 - [c128]Tiago Mota, Mohan Sridharan, Ales Leonardis:
Integrated Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics. EUMAS/AT 2020: 206-225 - [c127]Mohammad Ani, Hector Basevi, Ales Leonardis:
Quantifying the Use of Domain Randomization. ICPR 2020: 6128-6135 - [c126]Wei Chen, Jinming Duan, Hector Basevi, Hyung Jin Chang, Ales Leonardis:
PointPoseNet: Point Pose Network for Robust 6D Object Pose Estimation. WACV 2020: 2813-2822 - [i39]Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh:
A Multi-Hypothesis Approach to Color Constancy. CoRR abs/2002.12896 (2020) - [i38]Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Ales Leonardis:
G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features. CoRR abs/2003.11089 (2020) - [i37]Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem. CoRR abs/2003.13296 (2020) - [i36]Bolun Zheng, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis:
Image Demoireing with Learnable Bandpass Filters. CoRR abs/2004.00406 (2020) - [i35]Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory G. Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, Vien Gia An, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S. Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P. S, C. V. Jiji, Ashish Sinha, Xuan Zhao:
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. CoRR abs/2005.03155 (2020) - [i34]Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian:
Wavelet-Based Dual-Branch Network for Image Demoireing. CoRR abs/2007.07173 (2020) - [i33]Carlo Biffi, Steven McDonagh, Philip H. S. Torr, Ales Leonardis, Sarah Parisot:
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection. CoRR abs/2008.09694 (2020) - [i32]Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip H. S. Torr, Ales Leonardis, Gregory G. Slabaugh:
Diagnosing and Preventing Instabilities in Recurrent Video Processing. CoRR abs/2010.05099 (2020) - [i31]Yu Zhang, Peter Tiño, Ales Leonardis, Ke Tang:
A Survey on Neural Network Interpretability. CoRR abs/2012.14261 (2020)
2010 – 2019
- 2019
- [j55]Grigorios Kalliatakis, Shoaib Ehsan, Ales Leonardis, Maria Fasli, Klaus D. McDonald-Maier:
Exploring Object-Centric and Scene-Centric CNN Features and Their Complementarity for Human Rights Violations Recognition in Images. IEEE Access 7: 10045-10056 (2019) - [j54]Naresh Marturi, Marek Sewer Kopicki, Alireza Rastegarpanah, Vijaykumar Rajasekaran, Maxime Adjigble, Rustam Stolkin, Ales Leonardis, Yasemin Bekiroglu:
Dynamic grasp and trajectory planning for moving objects. Auton. Robots 43(5): 1241-1256 (2019) - [j53]Hsiu-Chin Lin, Michael N. Mistry, Ales Leonardis, Tamim Asfour:
Guest Editorial. Int. J. Humanoid Robotics 16(3): 1902001:1-1902001:2 (2019) - [c125]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c124]Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis:
AIM 2019 Challenge on Image Demoireing: Dataset and Study. ICCV Workshops 2019: 3526-3533 - [c123]Shanxin Yuan, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung-Jea Ko, Hang Dong, Radu Timofte, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Gregory G. Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng:
AIM 2019 Challenge on Image Demoireing: Methods and Results. ICCV Workshops 2019: 3534-3545 - [c122]Bruno Ferrarini, Shoaib Ehsan, Adrien Bartoli, Ales Leonardis, Klaus D. McDonald-Maier:
Assessing Capsule Networks with Biased Data. SCIA 2019: 90-100 - [i30]Domen Tabernik, Matej Kristan, Ales Leonardis:
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks. CoRR abs/1902.07474 (2019) - [i29]Bruno Ferrarini, Shoaib Ehsan, Adrien Bartoli, Ales Leonardis, Klaus D. McDonald-Maier:
Assessing Capsule Networks With Biased Data. CoRR abs/1904.04555 (2019) - [i28]Wenbin Li, Ales Leonardis, Jeannette Bohg, Mario Fritz:
Learning Manipulation under Physics Constraints with Visual Perception. CoRR abs/1904.09860 (2019) - [i27]Ümit Rusen Aktas, Chao Zhao, Marek Sewer Kopicki, Ales Leonardis, Jeremy L. Wyatt:
Deep Dexterous Grasping of Novel Objects from a Single View. CoRR abs/1908.04293 (2019) - [i26]Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Continual learning: A comparative study on how to defy forgetting in classification tasks. CoRR abs/1909.08383 (2019) - [i25]Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis:
AIM 2019 Challenge on Image Demoireing: Dataset and Study. CoRR abs/1911.02498 (2019) - [i24]Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung-Jea Ko, Hang Dong, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan:
AIM 2019 Challenge on Image Demoireing: Methods and Results. CoRR abs/1911.03461 (2019) - 2018
- [j52]Bruno Ferrarini, Shoaib Ehsan, Ales Leonardis, Naveed ur Rehman, Klaus D. McDonald-Maier:
Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database. IEEE Access 6: 8564-8573 (2018) - [j51]Miao Ma, Naresh Marturi, Yibin Li, Ales Leonardis, Rustam Stolkin:
Region-sequence based six-stream CNN features for general and fine-grained human action recognition in videos. Pattern Recognit. 76: 506-521 (2018) - [j50]Jingjing Xiao, Rustam Stolkin, Yuqing Gao, Ales Leonardis:
Robust Fusion of Color and Depth Data for RGB-D Target Tracking Using Adaptive Range-Invariant Depth Models and Spatio-Temporal Consistency Constraints. IEEE Trans. Cybern. 48(8): 2485-2499 (2018) - [c121]Domen Tabernik, Matej Kristan, Ales Leonardis:
Spatially-Adaptive Filter Units for Deep Neural Networks. CVPR 2018: 9388-9396 - [c120]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c119]Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis:
Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. ECCV Workshops (1) 2018: 521-537 - [c118]Tomás Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas:
A Summary of the 4th International Workshop on Recovering 6D Object Pose. ECCV Workshops (1) 2018: 589-600 - [c117]Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, Bill Freeman, Josh Tenenbaum, Jiajun Wu:
Learning to Exploit Stability for 3D Scene Parsing. NeurIPS 2018: 1733-1743 - [c116]Grigorios Kalliatakis, Anca Sticlaru, George Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier:
Material Classification in theWild: Do Synthesized Training Data Generalise Better than Real-world Training Data? VISIGRAPP (4: VISAPP) 2018: 427-432 - [i23]Grigorios Kalliatakis, Shoaib Ehsan, Ales Leonardis, Klaus D. McDonald-Maier:
Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images. CoRR abs/1805.04714 (2018) - [i22]Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis:
Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. CoRR abs/1809.03707 (2018) - [i21]Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas:
A Summary of the 4th International Workshop on Recovering 6D Object Pose. CoRR abs/1810.03758 (2018) - 2017
- [j49]Peter Ursic, Ales Leonardis, Danijel Skocaj, Matej Kristan:
Learning part-based spatial models for laser-vision-based room categorization. Int. J. Robotics Res. 36(4): 379-402 (2017) - [j48]Jingjing Xiao, Rustam Stolkin, Ales Leonardis:
Dynamic multi-level appearance models and adaptive clustered decision trees for single target tracking. Pattern Recognit. 69: 169-183 (2017) - [c115]Wenbin Li, Ales Leonardis, Mario Fritz:
Visual Stability Prediction and Its Application to Manipulation. AAAI Spring Symposia 2017 - [c114]Pulak Purkait, Christopher Zach, Ales Leonardis:
Rolling Shutter Correction in Manhattan World. ICCV 2017: 882-890 - [c113]Luka Cehovin Zajc, Alan Lukezic, Ales Leonardis, Matej Kristan:
Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking. ICCV 2017: 3343-3351 - [c112]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus B. Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He:
The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 2017: 1949-1972 - [c111]Wenbin Li, Ales Leonardis, Mario Fritz:
Visual stability prediction for robotic manipulation. ICRA 2017: 2606-2613 - [c110]Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier:
Detection of Human Rights Violations in Images: Can Convolutional Neural Networks Help?. VISIGRAPP (5: VISAPP) 2017: 289-296 - [c109]Grigorios Kalliatakis, Georgios Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Anca Sticlaru, Klaus D. McDonald-Maier:
Evaluating Deep Convolutional Neural Networks for Material Classification. VISIGRAPP (5: VISAPP) 2017: 346-352 - [i20]Grigorios Kalliatakis, Georgios Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Anca Sticlaru, Klaus D. McDonald-Maier:
Evaluating Deep Convolutional Neural Networks for Material Classification. CoRR abs/1703.04101 (2017) - [i19]Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier:
Detection of Human Rights Violations in Images: Can Convolutional Neural Networks help? CoRR abs/1703.04103 (2017) - [i18]Bruno Ferrarini, Shoaib Ehsan, Ales Leonardis, Naveed ur Rehman, Klaus D. McDonald-Maier:
Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database. CoRR abs/1709.08202 (2017) - [i17]Grigorios Kalliatakis, Anca Sticlaru, George Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier:
Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-World Training Data? CoRR abs/1711.03874 (2017) - [i16]Domen Tabernik, Matej Kristan, Ales Leonardis:
Spatially-Adaptive Filter Units for Deep Neural Networks. CoRR abs/1711.11473 (2017) - 2016
- [j47]Miao Ma, Naresh Marturi, Yibin Li, Rustam Stolkin, Ales Leonardis:
A local-global coupled-layer puppet model for robust online human pose tracking. Comput. Vis. Image Underst. 153: 163-178 (2016) - [j46]Marek Sewer Kopicki, Renaud Detry, Maxime Adjigble, Rustam Stolkin, Ales Leonardis, Jeremy L. Wyatt:
One-shot learning and generation of dexterous grasps for novel objects. Int. J. Robotics Res. 35(8): 959-976 (2016) - [j45]Matej Kristan, Jiri Matas, Ales Leonardis, Tomás Vojír, Roman P. Pflugfelder, Gustavo Fernández, Georg Nebehay, Fatih Porikli, Luka Cehovin:
A Novel Performance Evaluation Methodology for Single-Target Trackers. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2137-2155 (2016) - [j44]Shoaib Ehsan, Adrian F. Clark, Ales Leonardis, Naveed ur Rehman, Ahmad Khaliq, Maria Fasli, Klaus D. McDonald-Maier:
A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors. Remote. Sens. 8(11): 928 (2016) - [j43]Luka Cehovin, Ales Leonardis, Matej Kristan:
Visual Object Tracking Performance Measures Revisited. IEEE Trans. Image Process. 25(3): 1261-1274 (2016) - [c108]Jingjing Xiao, Linbo Qiao, Rustam Stolkin, Ales Leonardis:
Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes. ECCV (4) 2016: 121-136 - [c107]Hector Basevi, Ales Leonardis:
Towards Categorization and Pose Estimation of Sets of Occluded Objects in Cluttered Scenes from Depth Data and Generic Object Models Using Joint Parsing. ECCV Workshops (3) 2016: 665-681 - [c106]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi:
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823 - [c105]Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman P. Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Cehovin, Tomás Vojír, Alan Lukezic, Gustavo Fernández, Alfredo Petrosino, Álvaro García-Martín, Andrés Solís Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang-Ming Chang, Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, José M. Martínez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Philip H. S. Torr, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Sebastian Bernd Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hübner, Xin Li, Yang Li, Zhan Xu, Zhenyu He:
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. ECCV Workshops (2) 2016: 824-849 - [c104]Saad Minhas, Aura Hernández-Sabaté, Shoaib Ehsan, Katerine Díaz-Chito, Ales Leonardis, Antonio M. López, Klaus D. McDonald-Maier:
LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-driving Mode. ECCV Workshops (3) 2016: 894-900 - [c103]Bruno Ferrarini, Shoaib Ehsan, Naveed ur Rehman, Ales Leonardis, Klaus D. McDonald-Maier:
Automatic Selection of the Optimal Local Feature Detector. ICIAR 2016: 284-289 - [c102]Domen Tabernik, Matej Kristan, Jeremy L. Wyatt, Ales Leonardis:
Towards deep compositional networks. ICPR 2016: 3470-3475 - [c101]Peter Ursic, Rok Mandeljc, Ales Leonardis, Matej Kristan:
Part-based room categorization for household service robots. ICRA 2016: 2287-2294 - [c100]Peter Ursic, Ales Leonardis, Danijel Skocaj, Matej Kristan:
Hierarchical spatial model for 2D range data based room categorization. ICRA 2016: 4514-4521 - [c99]Amir M. Ghalamzan E., Nikos Mavrakis, Marek Sewer Kopicki, Rustam Stolkin, Ales Leonardis:
Task-relevant grasp selection: A joint solution to planning grasps and manipulative motion trajectories. IROS 2016: 907-914 - [c98]Jennifer R. Cutter, Iain B. Styles, Ales Leonardis, Hamid Dehghani:
Image-based Registration for a Neurosurgical Robot: Comparison Using Iterative Closest Point and Coherent Point Drift Algorithms. MIUA 2016: 28-34 - [c97]Luka Cehovin, Ales Leonardis, Matej Kristan:
Robust visual tracking using template anchors. WACV 2016: 1-8 - [p5]Michael Stark, Bernt Schiele, Ales Leonardis:
Visual Object Class Recognition. Springer Handbook of Robotics, 2nd Ed. 2016: 825-840 - [i15]Wenbin Li, Seyedmajid Azimi, Ales Leonardis, Mario Fritz:
To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction. CoRR abs/1604.00066 (2016) - [i14]Shoaib Ehsan, Adrian F. Clark, Ales Leonardis, Naveed ur Rehman, Klaus D. McDonald-Maier:
A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors. CoRR abs/1605.05791 (2016) - [i13]Bruno Ferrarini, Shoaib Ehsan, Naveed ur Rehman, Ales Leonardis, Klaus D. McDonald-Maier:
Automatic Selection of the Optimal Local Feature Detector. CoRR abs/1605.06094 (2016) - [i12]Domen Tabernik, Matej Kristan, Jeremy L. Wyatt, Ales Leonardis:
Towards Deep Compositional Networks. CoRR abs/1609.03795 (2016) - [i11]Wenbin Li, Ales Leonardis, Mario Fritz:
Visual Stability Prediction and Its Application to Manipulation. CoRR abs/1609.04861 (2016) - [i10]Jingjing Xiao, Qiang Lan, Linbo Qiao, Ales Leonardis:
Semantic tracking: Single-target tracking with inter-supervised convolutional networks. CoRR abs/1611.06395 (2016) - [i9]Luka Cehovin, Alan Lukezic, Ales Leonardis, Matej Kristan:
Beyond standard benchmarks: Parameterizing performance evaluation in visual object tracking. CoRR abs/1612.00089 (2016) - 2015
- [j42]Domen Tabernik, Ales Leonardis, Marko Boben, Danijel Skocaj, Matej Kristan:
Adding discriminative power to a generative hierarchical compositional model using histograms of compositions. Comput. Vis. Image Underst. 138: 102-113 (2015) - [j41]Antonio Jose Rodríguez-Sánchez, Mazyar Fallah, Ales Leonardis:
Editorial: Hierarchical Object Representations in the Visual Cortex and Computer Vision. Frontiers Comput. Neurosci. 9: 142 (2015) - [j40]Domen Soberl, Nikolaj Zimic, Ales Leonardis, Jaka Krivic, Miha Moskon:
Hardware Implementation of FAST Algorithm for Mobile Applications. J. Signal Process. Syst. 79(3): 247-256 (2015) - [c96]Jingjing Xiao, Rustam Stolkin, Ales Leonardis:
Single target tracking using adaptive clustered decision trees and dynamic multi-level appearance models. CVPR 2015: 4978-4987 - [c95]Naresh Marturi, Valerio Ortenzi, Jingjing Xiao, Maxime Adjigble, Rustam Stolkin, Ales Leonardis:
A real-time tracking and optimised gaze control for a redundant humanoid robot head. Humanoids 2015: 467-474 - [c94]Mete Ozay, Ümit Rusen Aktas, Jeremy L. Wyatt, Ales Leonardis:
Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-manifold Shapes. ICCV 2015: 1662-1670 - [c93]Matej Kristan, Jiri Matas, Ales Leonardis, Michael Felsberg, Luka Cehovin, Gustavo Fernández, Tomás Vojír, Gustav Häger, Georg Nebehay, Roman P. Pflugfelder:
The Visual Object Tracking VOT2015 Challenge Results. ICCV Workshops 2015: 564-586 - [c92]Michael Felsberg, Amanda Berg, Gustav Häger, Jörgen Ahlberg, Matej Kristan, Jiri Matas, Ales Leonardis, Luka Cehovin, Gustavo Fernández, Tomás Vojír, Georg Nebehay, Roman P. Pflugfelder:
The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results. ICCV Workshops 2015: 639-651 - [c91]Vladislav Kramarev, Krzysztof Walas, Ales Leonardis:
Categorisation of 3D Objects in Range Images Using Compositional Hierarchies of Parts Based on MDL and Entropy Selection Criteria. SCIA 2015: 289-301 - [i8]Ümit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt:
A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model. CoRR abs/1501.05192 (2015) - [i7]Luka Cehovin, Ales Leonardis, Matej Kristan:
Visual object tracking performance measures revisited. CoRR abs/1502.05803 (2015) - [i6]Matej Kristan, Jiri Matas, Ales Leonardis, Tomas Vojir, Roman P. Pflugfelder, Gustavo Fernández, Georg Nebehay, Fatih Porikli, Luka Cehovin:
A Novel Performance Evaluation Methodology for Single-Target Trackers. CoRR abs/1503.01313 (2015) - [i5]Mete Özay, Krzysztof Walas, Ales Leonardis:
A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization. CoRR abs/1503.01393 (2015) - [i4]Andrés Bruhn, Atsushi Imiya, Ales Leonardis, Tomás Pajdla:
Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461). Dagstuhl Reports 5(11): 36-61 (2015) - 2014
- [j39]Matej Kristan, Ales Leonardis:
Online Discriminative Kernel Density Estimator With Gaussian Kernels. IEEE Trans. Cybern. 44(3): 355-365 (2014) - [c90]Jingjing Xiao, Rustam Stolkin, Ales Leonardis:
Multi-target tracking in team-sports videos via multi-level context-conditioned latent behaviour models. BMVC 2014 - [c89]Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu:
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 2014: 191-217 - [c88]Ümit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt:
A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model. ECCV (3) 2014: 566-581 - [c87]Vladislav Kramarev, Sebastian Zurek, Jeremy L. Wyatt, Ales Leonardis:
Object Categorization from Range Images Using a Hierarchical Compositional Representation. ICPR 2014: 586-591 - [c86]Mete Ozay, Krzysztof Walas, Ales Leonardis:
A hierarchical approach for joint multi-view object pose estimation and categorization. ICRA 2014: 5480-5487 - [c85]Matevz Pesek, Ales Leonardis, Matija Marolt:
A Compositional Hierarchical Model for Music Information Retrieval. ISMIR 2014: 131-136 - [c84]Matevz Pesek, Ales Leonardis, Matija Marolt:
Boosting audio chord estimation using multiple classifiers. IWSSIP 2014: 107-110 - [c83]Luka Fürst, Ales Leonardis:
Feature selection for object detection: The best group vs. the group of best. MIPRO 2014: 1192-1197 - [c82]Luka Cehovin, Matej Kristan, Ales Leonardis:
Is my new tracker really better than yours? WACV 2014: 540-547 - [e8]Michael N. Mistry, Ales Leonardis, Mark Witkowski, Chris Melhuish:
Advances in Autonomous Robotics Systems - 15th Annual Conference, TAROS 2014, Birmingham, UK, September 1-3, 2014. Proceedings. Lecture Notes in Computer Science 8717, Springer 2014, ISBN 978-3-319-10400-3 [contents] - [i3]Sanja Fidler, Marko Boben, Ales Leonardis:
Learning a Hierarchical Compositional Shape Vocabulary for Multi-class Object Representation. CoRR abs/1408.5516 (2014) - 2013
- [j38]Luka Cehovin, Matej Kristan, Ales Leonardis:
Robust Visual Tracking Using an Adaptive Coupled-Layer Visual Model. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 941-953 (2013) - [j37]Norbert Krüger, Peter Janssen, Sinan Kalkan, Markus Lappe, Ales Leonardis, Justus H. Piater, Antonio Jose Rodríguez-Sánchez, Laurenz Wiskott:
Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1847-1871 (2013) - [c81]Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Fatih Porikli, Luka Cehovin, Georg Nebehay, Gustavo Fernández, Tomás Vojír, Adam Gatt, Ahmad Khajenezhad, Ahmed Salah El-Din, Ali Soltani-Farani, Ali Zarezade, Alfredo Petrosino, Anthony Milton, Behzad Bozorgtabar, Bo Li, Chee Seng Chan, Cherkeng Heng, Dale A. Ward, David A. Kearney, Dorothy Monekosso, Hakki Can Karaimer, Hamid R. Rabiee, Jianke Zhu, Jin Gao, Jingjing Xiao, Junge Zhang, Junliang Xing, Kaiqi Huang, Karel Lebeda, Lijun Cao, Mario Edoardo Maresca, Mei Kuan Lim, Mohamed ElHelw, Michael Felsberg, Paolo Remagnino, Richard Bowden, Roland Goecke, Rustam Stolkin, Samantha YueYing Lim, Sara Maher, Sébastien Poullot, Sebastien C. Wong, Shin'ichi Satoh, Weihua Chen, Weiming Hu, Xiaoqin Zhang, Yang Li, Zhi Heng Niu:
The Visual Object Tracking VOT2013 Challenge Results. ICCV Workshops 2013: 98-111 - [c80]Jingjing Xiao, Rustam Stolkin, Ales Leonardis:
An Enhanced Adaptive Coupled-Layer LGTracker++. ICCV Workshops 2013: 137-144 - [c79]Domen Tabernik, Luka Cehovin, Matej Kristan, Marko Boben, Ales Leonardis:
A Web-Service for Object Detection Using Hierarchical Models. ICVS 2013: 93-102 - [c78]Jure Zabkar, Ales Leonardis:
Learning Compositional Hierarchies of a Sensorimotor System. IDA 2013: 450-461 - [c77]Matej Kristan, Marko Boben, Domen Tabernik, Ales Leonardis:
Adding Discriminative Power to Hierarchical Compositional Models for Object Class Detection. SCIA 2013: 444-455 - 2012
- [j36]Alen Vrecko, Ales Leonardis, Danijel Skocaj:
Modeling binding and cross-modal learning in Markov logic networks. Neurocomputing 96: 29-36 (2012) - [c76]Domen Tabernik, Matej Kristan, Marko Boben, Ales Leonardis:
Learning statistically relevant edge structure improves low-level visual descriptors. ICPR 2012: 1471-1474 - [c75]Peter Ursic, Matej Kristan, Danijel Skocaj, Ales Leonardis:
Room classification using a hierarchical representation of space. IROS 2012: 1371-1378 - [c74]Ales Leonardis:
Hierarchical Compositional Representations of Object Structure. SSPR/SPR 2012: 31-32 - 2011
- [j35]Dusan Omercevic, Ales Leonardis:
Hyperlinking reality via camera phones. Mach. Vis. Appl. 22(3): 521-534 (2011) - [j34]Matej Kristan, Ales Leonardis, Danijel Skocaj:
Multivariate online kernel density estimation with Gaussian kernels. Pattern Recognit. 44(10-11): 2630-2642 (2011) - [c73]Alen Vrecko, Danijel Skocaj, Ales Leonardis:
Binding and Cross-Modal Learning in Markov Logic Networks. ICANNGA (2) 2011: 235-244 - [c72]Luka Cehovin, Matej Kristan, Ales Leonardis:
An adaptive coupled-layer visual model for robust visual tracking. ICCV 2011: 1363-1370 - [i2]Jeremy L. Wyatt, Peter Dayan, Ales Leonardis, Jan Peters:
Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131). Dagstuhl Reports 1(3): 67-95 (2011) - 2010
- [j33]Ondrej Drbohlav, Ales Leonardis:
Towards correct and informative evaluation methodology for texture classification under varying viewpoint and illumination. Comput. Vis. Image Underst. 114(4): 439-449 (2010) - [j32]Roland Perko, Ales Leonardis:
A framework for visual-context-aware object detection in still images. Comput. Vis. Image Underst. 114(6): 700-711 (2010) - [j31]Bogdan Raducanu, Jordi Vitrià, Ales Leonardis:
Online pattern recognition and machine learning techniques for computer-vision: Theory and applications. Image Vis. Comput. 28(7): 1063-1064 (2010) - [j30]Matej Kristan, Danijel Skocaj, Ales Leonardis:
Online kernel density estimation for interactive learning. Image Vis. Comput. 28(7): 1106-1116 (2010) - [j29]Matej Kristan, Stanislav Kovacic, Ales Leonardis, Janez Pers:
A Two-Stage Dynamic Model for Visual Tracking. IEEE Trans. Syst. Man Cybern. Part B 40(6): 1505-1520 (2010) - [c71]Sanja Fidler, Marko Boben, Ales Leonardis:
A Coarse-to-Fine Taxonomy of Constellations for Fast Multi-class Object Detection. ECCV (5) 2010: 687-700 - [c70]Matej Kristan, Ales Leonardis:
Online Discriminative Kernel Density Estimation. ICPR 2010: 581-584 - [c69]Barry Ridge, Danijel Skocaj, Ales Leonardis:
Self-supervised cross-modal online learning of basic object affordances for developmental robotic systems. ICRA 2010: 5047-5054 - [p4]Mario Fritz, Mykhaylo Andriluka, Sanja Fidler, Michael Stark, Ales Leonardis, Bernt Schiele:
Categorical Perception. Cognitive Systems 2010: 131-164 - [p3]Danijel Skocaj, Matej Kristan, Alen Vrecko, Ales Leonardis, Mario Fritz, Michael Stark, Bernt Schiele, Somboon Hongeng, Jeremy L. Wyatt:
Multi-modal Learning. Cognitive Systems 2010: 265-309
2000 – 2009
- 2009
- [j28]Horst Bischof, Ales Leonardis:
Editorial Special Issue ECCV 2006. Int. J. Comput. Vis. 81(1): 1 (2009) - [j27]Matej Kristan, Janez Pers, Stanislav Kovacic, Ales Leonardis:
A local-motion-based probabilistic model for visual tracking. Pattern Recognit. 42(9): 2160-2168 (2009) - [c68]Sanja Fidler, Marko Boben, Ales Leonardis:
Optimization Framework for Learning a Hierarchical Shape Vocabulary for Object Class Detection. BMVC 2009: 1-12 - [c67]Dusan Omercevic, Ales Leonardis:
Hyperlinking reality via camera phones. CHI Extended Abstracts 2009: 3515-3516 - [c66]Ales Leonardis:
Learning a hierarchical compositional representation of multiple object classes. CVPR Workshops 2009: 2 - [c65]Sanja Fidler, Marko Boben, Ales Leonardis:
A bottom-up and top-down optimization framework for learning a compositional hierarchy of object classes. CVPR Workshops 2009: 3 - [c64]Danijel Skocaj, Matej Kristan, Ales Leonardis:
Formalization of different learning strategies in a continuous domain framework. EpiRob 2009 - [c63]Roland Perko, Lucas Paletta, Ales Leonardis:
Learning contextual rules for priming object categories in images. ICIP 2009: 1429-1432 - [c62]Alen Vrecko, Danijel Skocaj, Nick Hawes, Ales Leonardis:
A computer vision integration model for a multi-modal cognitive system. IROS 2009: 3140-3147 - [c61]Sanja Fidler, Marko Boben, Ales Leonardis:
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection. NIPS 2009: 531-539 - 2008
- [j26]Bastian Leibe, Ales Leonardis, Bernt Schiele:
Robust Object Detection with Interleaved Categorization and Segmentation. Int. J. Comput. Vis. 77(1-3): 259-289 (2008) - [j25]Ales Stimec, Matjaz Jogan, Ales Leonardis:
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images. Int. J. Pattern Recognit. Artif. Intell. 22(4): 639-665 (2008) - [j24]Danijel Skocaj, Ales Leonardis:
Incremental and robust learning of subspace representations. Image Vis. Comput. 26(1): 27-38 (2008) - [j23]Luka Fürst, Sanja Fidler, Ales Leonardis:
Selecting features for object detection using an AdaBoost-compatible evaluation function. Pattern Recognit. Lett. 29(11): 1603-1612 (2008) - [c60]Sanja Fidler, Marko Boben, Ales Leonardis:
Similarity-based cross-layered hierarchical representation for object categorization. CVPR 2008 - [c59]Danijel Skocaj, Matej Kristan, Ales Leonardis:
Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation. VISAPP (1) 2008: 598-604 - [c58]Roland Perko, Christian Wojek, Bernt Schiele, Ales Leonardis:
Integrating Visual Context and Object Detection within a Probabilistic Framework. WAPCV 2008: 54-68 - 2007
- [j22]Danijel Skocaj, Ales Leonardis, Horst Bischof:
Weighted and robust learning of subspace representations. Pattern Recognit. 40(5): 1556-1569 (2007) - [c57]Martina Uray, Danijel Skocaj, Peter M. Roth, Horst Bischof, Ales Leonardis:
Incremental LDA Learning by Combining Reconstructive and Discriminative Approaches. BMVC 2007: 1-10 - [c56]Sanja Fidler, Ales Leonardis:
Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts. CVPR 2007 - [c55]Ulrich Steinhoff, Dusan Omercevic, Roland Perko, Bernt Schiele, Ales Leonardis:
How Computer Vision Can Help in Outdoor Positioning. AmI 2007: 124-141 - [c54]Hynek Bakstein, Ales Leonardis:
Catadioptric Image-based Rendering for Mobile Robot Localization. ICCV 2007: 1-6 - [c53]Dusan Omercevic, Ondrej Drbohlav, Ales Leonardis:
High-Dimensional Feature Matching: Employing the Concept of Meaningful Nearest Neighbors. ICCV 2007: 1-8 - [c52]Ales Leonardis, Sanja Fidler:
Learning Hierarchical Representations of Object Categories for Robot Vision. ISRR 2007: 99-110 - [c51]Roland Perko, Ales Leonardis:
Context Driven Focus of Attention for Object Detection. WAPCV 2007: 216-233 - 2006
- [j21]Sanja Fidler, Danijel Skocaj, Ales Leonardis:
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 337-350 (2006) - [c50]Bastian Leibe, Ales Leonardis, Bernt Schiele:
An Implicit Shape Model for Combined Object Categorization and Segmentation. Toward Category-Level Object Recognition 2006: 508-524 - [c49]Sanja Fidler, Gregor Berginc, Ales Leonardis:
Hierarchical Statistical Learning of Generic Parts of Object Structure. CVPR (1) 2006: 182-189 - [c48]Geert-Jan M. Kruijff, John D. Kelleher, Gregor Berginc, Ales Leonardis:
Structural descriptions in human-assisted robot visual learning. HRI 2006: 343-344 - [e7]Ales Leonardis, Horst Bischof, Axel Pinz:
Computer Vision - ECCV 2006, 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part I. Lecture Notes in Computer Science 3951, Springer 2006, ISBN 3-540-33832-2 [contents] - [e6]Ales Leonardis, Horst Bischof, Axel Pinz:
Computer Vision - ECCV 2006, 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part II. Lecture Notes in Computer Science 3952, Springer 2006, ISBN 3-540-33834-9 [contents] - [e5]Ales Leonardis, Horst Bischof, Axel Pinz:
Computer Vision - ECCV 2006, 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part III. Lecture Notes in Computer Science 3953, Springer 2006, ISBN 3-540-33836-5 [contents] - [e4]Ales Leonardis, Horst Bischof, Axel Pinz:
Computer Vision - ECCV 2006, 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part IV. Lecture Notes in Computer Science 3954, Springer 2006, ISBN 3-540-33838-1 [contents] - 2005
- [c47]Peter M. Roth, Helmut Grabner, Danijel Skocaj, Horst Bischof, Ales Leonardis:
Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort. DAGM-Symposium 2005: 293-300 - [c46]Matej Artac, Matjaz Jogan, Ales Leonardis, Hynek Bakstein:
Panoramic volumes for robot localization. IROS 2005: 2668-2674 - 2004
- [j20]Horst Bischof, Horst Wildenauer, Ales Leonardis:
Illumination insensitive recognition using eigenspaces. Comput. Vis. Image Underst. 95(1): 86-104 (2004) - [j19]Bojan Kverh, Ales Leonardis:
A generalisation of model selection criteria. Pattern Anal. Appl. 7(1): 51-65 (2004) - [c45]Sven J. Dickinson, Ales Leonardis, Bernt Schiele:
Workshop on Generic Object Recognition and Categorization. CVPR Workshops 2004: 26 - [c44]Miha Peternel, Ales Leonardis:
Visual Learning and Recognition of a Probabilistic Spatio-Temporal Model of Cyclic Human Locomotion. ICPR (4) 2004: 146-149 - [e3]Kostas Daniilidis, Reinhard Klette, Ales Leonardis:
Imaging Beyond the Pin-hole Camera. 12th Seminar on Theoretical Foundations of Computer Vision, 13.06. - 18.06.2004. Dagstuhl Seminar Proceedings 04251, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2004 [contents] - [i1]Kostas Daniilidis, Reinhard Klette, Ales Leonardis:
04251 - Imaging Beyond the Pinhole Camera. Imaging Beyond the Pin-hole Camera. 12th Seminar on Theoretical Foundations of Computer Vision 2004 - 2003
- [j18]Ales Leonardis, Horst Bischof:
Kernel and subspace methods for computer vision. Pattern Recognit. 36(9): 1925-1927 (2003) - [j17]Matjaz Jogan, Ales Leonardis:
Robust localization using an omnidirectional appearance-based subspace model of environment. Robotics Auton. Syst. 45(1): 51-72 (2003) - [j16]Matjaz Jogan, Emil Zagar, Ales Leonardis:
Karhunen-Loéve expansion of a set of rotated templates. IEEE Trans. Image Process. 12(7): 817-825 (2003) - [c43]Sanja Fidler, Ales Leonardis:
Robust LDA Classification by Subsampling. CVPR Workshops 2003: 97 - [c42]Danijel Skocaj, Ales Leonardis:
Weighted and Robust Incremental Method for Subspace Learning. ICCV 2003: 1494-1501 - [c41]Matjaz Jogan, Matej Artac, Danijel Skocaj, Ales Leonardis:
A Framework for Robust and Incremental Self-Localization of a Mobile Robot. ICVS 2003: 460-469 - [c40]Spela Ivekovic, Ales Leonardis:
Multiresolution Approach to Biomedical Image Segmentation with Statistical Models of Appearance. Scale-Space 2003: 667-682 - 2002
- [j15]Bojan Kverh, Ales Leonardis:
A New Refinement Method for Registration of Range Images Based on Segmented Data. Computing 68(1): 81-96 (2002) - [j14]Tomás Werner, Tomás Pajdla, Václav Hlavác, Ales Leonardis, Martin Matousek:
Selection of Reference Images for Image-Based Scene Representations. Computing 68(2): 163-180 (2002) - [j13]Ales Leonardis, Horst Bischof, Jasna Maver:
Multiple eigenspaces. Pattern Recognit. 35(11): 2613-2627 (2002) - [j12]Jasna Maver, Ales Leonardis:
Recognizing 2-tone images in grey-level parametric eigenspaces. Pattern Recognit. Lett. 23(14): 1631-1640 (2002) - [c39]Danijel Skocaj, Horst Bischof, Ales Leonardis:
A Robust PCA Algorithm for Building Representations from Panoramic Images. ECCV (4) 2002: 761-775 - [c38]Matjaz Jogan, Ales Leonardis, Horst Wildenauer, Horst Bischof:
Mobile Robot Localization Under Varying Illumination. ICPR (2) 2002: 741-744 - [c37]Matej Artac, Matjaz Jogan, Ales Leonardis:
Incremental PCA or On-Line Visual Learning and Recognition. ICPR (3) 2002: 781-784 - [c36]Matej Artac, Matjaz Jogan, Ales Leonardis:
Mobile Robot Localization using an Incremental Eigenspace Model. ICRA 2002: 1025-1030 - 2001
- [j11]Horst Bischof, Ales Leonardis:
View-based object representations using RBF networks. Image Vis. Comput. 19(9-10): 619-629 (2001) - [c35]Danijel Skocaj, Ales Leonardis:
Robust Recognition and Pose Determination of 3-D Objects Using Range Images in Eigenspace. 3DIM 2001: 171-178 - [c34]Horst Bischof, Horst Wildenauer, Ales Leonardis:
Illumination Insensitive Eigenspaces. ICCV 2001: 233-238 - [p2]Ales Leonardis, Horst Bischof:
Robust Methods. Digital Image Analysis 2001: 219-235 - 2000
- [b1]Ales Jaklic, Ales Leonardis, Franc Solina:
Segmentation and Recovery of Superquadrics. Computational Imaging and Vision 20, Springer 2000, ISBN 978-90-481-5574-3, pp. 1-266 - [j10]Ales Leonardis, Horst Bischof:
Robust Recognition Using Eigenimages. Comput. Vis. Image Underst. 78(1): 99-118 (2000) - [c33]Ales Leonardis, Horst Bischof:
Multiple Eigenspaces by MDL. ICPR 2000: 1233-1237 - [c32]Danijel Skocaj, Ales Leonardis:
Range Image Acquisition of Objects with Non-Uniform Albedo Using Structured Light Range Sensor. ICPR 2000: 1778-1781 - [c31]Alexander Selb, Horst Bischof, Ales Leonardis:
Fuzzy C-Means in an MDL-Framework. ICPR 2000: 2740-2743 - [c30]Matjaz Jogan, Ales Leonardis:
Robust Localization Using Panoramic View-Based Recognition. ICPR 2000: 4136-4139 - [c29]Horst Bischof, Ales Leonardis:
Recognizing Objects by Their Appearance Using Eigenimages. SOFSEM 2000: 245-265 - [p1]Danijel Skocaj, Ales Leonardis:
Acquiring Range Images of Objects with Non-Uniform Reflectance Using High Dynamic Scale Radiance Maps. Confluence of Computer Vision and Computer Graphics 2000: 105-122 - [e2]Ales Leonardis, Franc Solina, Ruzena Bajcsy:
Confluence of Computer Vision and Computer Graphics. NATO Science Series 84, Kluwer / Springer 2000, ISBN 978-0-7923-6612-6 [contents]
1990 – 1999
- 1999
- [j9]Horst Bischof, Ales Leonardis, Alexander Selb:
MDL Principle for Robust Vector Quantisation. Pattern Anal. Appl. 2(1): 59-72 (1999) - [c28]Bojan Kverh, Ales Leonardis:
Registration of Range Images Based on Segmented Data. CAIP 1999: 347-356 - [c27]Matjaz Jogan, Ales Leonardis:
Panoramic Eigenimages for Spatial Localisation. CAIP 1999: 558-567 - [c26]Horst Bischof, Ales Leonardis:
On-line Learning of Object Representations. ICANNGA 1999: 78-85 - [e1]Franc Solina, Ales Leonardis:
Computer Analysis of Images and Patterns, 8th International Conference, CAIP'99, Ljubljana, Slovenia, September 1-3, 1999, Proceedings. Lecture Notes in Computer Science 1689, Springer 1999, ISBN 3-540-66366-5 [contents] - 1998
- [j8]Franc Solina, Ales Leonardis:
Proper scale for modeling visual data. Image Vis. Comput. 16(2): 89-98 (1998) - [j7]Ales Leonardis, Horst Bischof:
An efficient MDL-based construction of RBF networks. Neural Networks 11(5): 963-973 (1998) - [j6]Stanislav Kovacic, Ales Leonardis, Franjo Pernus:
Planning Sequences Of Views For 3-D Object Recognition And Pose Determination. Pattern Recognit. 31(10): 1407-1417 (1998) - [j5]Horst Bischof, Ales Leonardis:
Finding optimal neural networks for land use classification. IEEE Trans. Geosci. Remote. Sens. 36(1): 337-341 (1998) - [c25]Horst Bischof, Ales Leonardis:
Robust Recognition of Scaled Eigenimages through a Hierarchical Approach. CVPR 1998: 664-670 - [c24]Horst Bischof, Ales Leonardis, Florian Pezzei:
A robust subspace classifier. ICPR 1998: 114-116 - [c23]Horst Bischof, Ales Leonardis:
MDL-based design of vector quantizers. ICPR 1998: 891-893 - [c22]Horst Bischof, Ales Leonardis:
Robust Vector Quantization by MDL. NC 1998: 247-253 - 1997
- [j4]Ales Leonardis, Ales Jaklic, Franc Solina:
Superquadrics for Segmenting and Modeling Range Data. IEEE Trans. Pattern Anal. Mach. Intell. 19(11): 1289-1295 (1997) - [c21]Ales Leonardis, Horst Bischof:
Computational Complexity Reduction in Eigenspace Approaches. CAIP 1997: 1-8 - [c20]Christian Menard, Ales Leonardis:
Stereo Matching Using M-Estimators. CAIP 1997: 305-312 - [c19]Franjo Pernus, Ales Leonardis, Stanislav Kovacic:
Planning Multiple Views for 3-D Object Recognition and Pose Determination. CAIP 1997: 424-431 - 1996
- [j3]Ruzena Bajcsy, Sang Wook Lee, Ales Leonardis:
Detection of diffuse and specular interface reflections and inter-reflections by color image segmentation. Int. J. Comput. Vis. 17(3): 241-272 (1996) - [c18]Ales Leonardis, Horst Bischof:
Dealing with occlusions in the eigenspace approach. CVPR 1996: 453-458 - [c17]Václav Hlavác, Ales Leonardis, Tomás Werner:
Automatic Selection of Reference Views for Image-Based Scene Representations. ECCV (1) 1996: 526-535 - [c16]Tomás Werner, Václav Hlavác, Ales Leonardis, Tomás Pajdla:
Selection of reference views for image-based representation. ICPR 1996: 73-77 - [c15]Christian Menard, Ales Leonardis:
Robust stereo on multiple resolutions. ICPR 1996: 910-914 - [c14]Tomás Werner, Václav Hlavác, Ales Leonardis, Tomás Pajdla:
Choosing Reference Views for Image-Based Representation. SOFSEM 1996: 459-466 - 1995
- [j2]Ales Leonardis, Alok Gupta, Ruzena Bajcsy:
Segmentation of range images as the search for geometric parametric models. Int. J. Comput. Vis. 14(3): 253-277 (1995) - [c13]Markus Stricker, Ales Leonardis:
ExSel++: A General Framework to Extract Parametric Models. CAIP 1995: 90-97 - [c12]Ales Leonardis, Stanislav Kovacic, Franjo Pernus:
Recognition and Pose Determinatn of 3-D Objects Using Multiple Views. CAIP 1995: 778-783 - [c11]Marjan Trobina, Ales Leonardis:
Grasping Arbitrarily Shaped 3-D Objects from a Pile. ICRA 1995: 241-246 - 1994
- [j1]Franjo Pernus, Ales Leonardis, Stanislav Kovacic:
Two-dimensional object recognition using multiresolution non-information-preserving shape features. Pattern Recognit. Lett. 15(10): 1071-1079 (1994) - [c10]Jasna Maver, Ales Leonardis, Franc Solina:
Planning the Optimal Set of Views Using the Max-Min Principle. ECCV (2) 1994: 117-122 - [c9]Ales Leonardis, Franc Solina, Alenka Macerl:
A Direct Recovery of Superquadric Models in Range Images Using Recover-and-Select Paradigm. ECCV (1) 1994: 309-318 - [c8]Franc Solina, Ales Leonardis, Alenka Macerl:
A Direct Part-Level Segmentation of Range Images Using Volumetric Models. ICRA 1994: 2254-2259 - [c7]Ales Leonardis:
A Robust Approach to Estimation of Parametric Models. Theoretical Foundations of Computer Vision 1994: 113-130 - 1993
- [c6]Jasna Maver, Ales Leonardis, Franc Solina:
Planning the Next View Using the Max-Min Principle. CAIP 1993: 543-547 - 1992
- [c5]Ales Leonardis, Ruzena Bajcsy:
Finding Parametric Curves in an Image. ECCV 1992: 653-657 - [c4]Franc Solina, Ales Leonardis:
Selective scene modeling. ICPR (1) 1992: 87-90 - [c3]Franjo Pernus, Ales Leonardis, Stanko Kovacic:
Noninformation-preserving shape features at multiple resolution. ICPR (2) 1992: 166-169 - 1990
- [c2]Ales Leonardis, Alok Gupta, Ruzena Bajcsy:
Segmentation as the search for the best description of the image in terms of primitives. ICCV 1990: 121-125 - [c1]Ruzena Bajcsy, Sang Wook Lee, Ales Leonardis:
Color image segmentation with detection of highlights and local illumination induced by inter-reflections. ICPR (1) 1990: 785-790
Coauthor Index
Luka Cehovin
aka: Luka Cehovin Zajc
aka: Luka Cehovin Zajc
Rama Krishna Sai S. Gorthi
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
Joni-Kristian Kämäräinen
aka: Joni-Kristian Kamarainen
aka: Joni-Kristian Kamarainen
Jiri Matas
aka: Jirí Matas
aka: Jirí Matas
[e94] [e93] [e92] [e91] [e90] [e89] [e88] [e87] [e86] [e85] [e84] [e83] [e82] [e81] [e80] [e79] [e78] [e77] [e76] [e75] [e74] [e73] [e72] [e71] [e70] [e69] [e68] [e67] [e66] [e65] [e64] [e63] [e62] [e61] [e60] [e59] [e58] [e57] [e56] [e55] [e54] [e53] [e52] [e51] [e50] [e49] [e48] [e47] [e46] [e45] [e44] [e43] [e42] [e41] [e40] [e39] [e38] [e37] [e36] [e35] [e34] [e33] [e32] [e31] [e30] [e29] [e28] [e27] [e26] [e25] [e24] [e23] [e22] [e21] [e20] [e19] [e18] [e17] [e16] [e15] [e14] [e13] [e12] [e11] [e10] [e9]
[e94] [e93] [e92] [e91] [e90] [e89] [e88] [e87] [e86] [e85] [e84] [e83] [e82] [e81] [e80] [e79] [e78] [e77] [e76] [e75] [e74] [e73] [e72] [e71] [e70] [e69] [e68] [e67] [e66] [e65] [e64] [e63] [e62] [e61] [e60] [e59] [e58] [e57] [e56] [e55] [e54] [e53] [e52] [e51] [e50] [e49] [e48] [e47] [e46] [e45] [e44] [e43] [e42] [e41] [e40] [e39] [e38] [e37] [e36] [e35] [e34] [e33] [e32] [e31] [e30] [e29] [e28] [e27] [e26] [e25] [e24] [e23] [e22] [e21] [e20] [e19] [e18] [e17] [e16] [e15] [e14] [e13] [e12] [e11] [e10] [e9]
[e94] [e93] [e92] [e91] [e90] [e89] [e88] [e87] [e86] [e85] [e84] [e83] [e82] [e81] [e80] [e79] [e78] [e77] [e76] [e75] [e74] [e73] [e72] [e71] [e70] [e69] [e68] [e67] [e66] [e65] [e64] [e63] [e62] [e61] [e60] [e59] [e58] [e57] [e56] [e55] [e54] [e53] [e52] [e51] [e50] [e49] [e48] [e47] [e46] [e45] [e44] [e43] [e42] [e41] [e40] [e39] [e38] [e37] [e36] [e35] [e34] [e33] [e32] [e31] [e30] [e29] [e28] [e27] [e26] [e25] [e24] [e23] [e22] [e21] [e20] [e19] [e18] [e17] [e16] [e15] [e14] [e13] [e12] [e11] [e10] [e9]
[e94] [e93] [e92] [e91] [e90] [e89] [e88] [e87] [e86] [e85] [e84] [e83] [e82] [e81] [e80] [e79] [e78] [e77] [e76] [e75] [e74] [e73] [e72] [e71] [e70] [e69] [e68] [e67] [e66] [e65] [e64] [e63] [e62] [e61] [e60] [e59] [e58] [e57] [e56] [e55] [e54] [e53] [e52] [e51] [e50] [e49] [e48] [e47] [e46] [e45] [e44] [e43] [e42] [e41] [e40] [e39] [e38] [e37] [e36] [e35] [e34] [e33] [e32] [e31] [e30] [e29] [e28] [e27] [e26] [e25] [e24] [e23] [e22] [e21] [e20] [e19] [e18] [e17] [e16] [e15] [e14] [e13] [e12] [e11] [e10] [e9]
Philip Torr 0001
aka: Philip H. S. Torr
aka: Philip H. S. Torr
[e94] [e93] [e92] [e91] [e90] [e89] [e88] [e87] [e86] [e85] [e84] [e83] [e82] [e81] [e80] [e79] [e78] [e77] [e76] [e75] [e74] [e73] [e72] [e71] [e70] [e69] [e68] [e67] [e66] [e65] [e64] [e63] [e62] [e61] [e60] [e59] [e58] [e57] [e56] [e55] [e54] [e53] [e52] [e51] [e50] [e49] [e48] [e47] [e46] [e45] [e44] [e43] [e42] [e41] [e40] [e39] [e38] [e37] [e36] [e35] [e34] [e33] [e32] [e31] [e30] [e29] [e28] [e27] [e26] [e25] [e24] [e23] [e22] [e21] [e20] [e19] [e18] [e17] [e16] [e15] [e14] [e13] [e12] [e11] [e10] [e9]
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