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ORCIDVictor S. Lempitsky
Victor Lempitsky
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- affiliation: Skolkovo Institute of Science and Technology
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2020 – today
- 2024
[c90]Renat Bashirov, Alexey Larionov, Evgeniya Ustinova, Mikhail Sidorenko, David Svitov, Ilya Zakharkin, Victor Lempitsky:
MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video. WACV 2024: 3533-3543- 2023
- [j17]Egor Burkov
, Ruslan Rakhimov, Aleksandr Safin, Evgeny Burnaev, Victor Lempitsky:
Multi-NeuS: 3D Head Portraits From Single Image With Neural Implicit Functions. IEEE Access 11: 95681-95691 (2023) - [c89]David Svitov, Dmitrii Gudkov, Renat Bashirov, Victor Lempitsky:
DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars. ICCV 2023: 7039-7049 - [c88]Vanessa Sklyarova, Jenya Chelishev, Andreea Dogaru, Igor Medvedev, Victor Lempitsky, Egor Zakharov:
Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction. ICCV 2023: 19705-19716 - [i57]David Svitov, Dmitrii Gudkov, Renat Bashirov, Victor Lempitsky:
DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars. CoRR abs/2303.09375 (2023) - [i56]Alexey Larionov, Evgeniya Ustinova, Mikhail Sidorenko, David Svitov, Ilya Zakharkin, Victor Lempitsky, Renat Bashirov:
MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video. CoRR abs/2303.10275 (2023) - [i55]Vanessa Sklyarova, Jenya Chelishev, Andreea Dogaru, Igor Medvedev, Victor Lempitsky, Egor Zakharov:
Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction. CoRR abs/2306.05872 (2023) - 2022
- [c87]Taras Khakhulin, Denis Korzhenkov, Pavel Solovev, Gleb Sterkin, Andrei-Timotei Ardelean, Victor Lempitsky:
Stereo Magnification with Multi-Layer Images. CVPR 2022: 8677-8686 - [c86]Ruslan Rakhimov, Andrei-Timotei Ardelean, Victor Lempitsky, Evgeny Burnaev:
NPBG++: Accelerating Neural Point-Based Graphics. CVPR 2022: 15948-15958 - [c85]Taras Khakhulin, Vanessa Sklyarova, Victor Lempitsky, Egor Zakharov:
Realistic One-Shot Mesh-Based Head Avatars. ECCV (2) 2022: 345-362 - [c84]Nikita Drobyshev, Jenya Chelishev, Taras Khakhulin, Aleksei Ivakhnenko, Victor Lempitsky, Egor Zakharov:
MegaPortraits: One-shot Megapixel Neural Head Avatars. ACM Multimedia 2022: 2663-2671 - [c83]Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky:
Resolution-robust Large Mask Inpainting with Fourier Convolutions. WACV 2022: 3172-3182 - [i54]Taras Khakhulin, Denis Korzhenkov, Pavel Solovev, Gleb Sterkin, Timotei Ardelean, Victor Lempitsky:
Stereo Magnification with Multi-Layer Images. CoRR abs/2201.05023 (2022) - [i53]Ruslan Rakhimov, Andrei-Timotei Ardelean, Victor Lempitsky, Evgeny Burnaev:
NPBG++: Accelerating Neural Point-Based Graphics. CoRR abs/2203.13318 (2022) - [i52]Taras Khakhulin, Vanessa Sklyarova, Victor Lempitsky, Egor Zakharov:
Realistic One-shot Mesh-based Head Avatars. CoRR abs/2206.08343 (2022) - [i51]Nikita Drobyshev, Jenya Chelishev, Taras Khakhulin, Aleksei Ivakhnenko, Victor Lempitsky, Egor Zakharov:
MegaPortraits: One-shot Megapixel Neural Head Avatars. CoRR abs/2207.07621 (2022) - [i50]Egor Burkov, Ruslan Rakhimov, Aleksandr Safin, Evgeny Burnaev, Victor Lempitsky:
Multi-NeuS: 3D Head Portraits from Single Image with Neural Implicit Functions. CoRR abs/2209.04436 (2022) - 2021
- [c82]Artur Grigorev, Karim Iskakov, Anastasia Ianina, Renat Bashirov, Ilya Zakharkin, Alexander Vakhitov, Victor Lempitsky:
StylePeople: A Generative Model of Fullbody Human Avatars. CVPR 2021: 5151-5160 - [c81]Ivan Anokhin, Kirill Demochkin, Taras Khakhulin, Gleb Sterkin, Victor Lempitsky, Denis Korzhenkov:
Image Generators With Conditionally-Independent Pixel Synthesis. CVPR 2021: 14278-14287 - [c80]Kirill Mazur, Victor Lempitsky:
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks. ICCV 2021: 10695-10704 - [c79]Ilya Zakharkin, Kirill Mazur, Artur Grigorev, Victor Lempitsky:
Point-Based Modeling of Human Clothing. ICCV 2021: 14698-14707 - [c78]Renat Bashirov, Anastasia Ianina, Karim Iskakov, Yevgeniy Kononenko, Valeriya Strizhkova, Victor Lempitsky, Alexander Vakhitov:
Real-time RGBD-based Extended Body Pose Estimation. WACV 2021: 2806-2815 - [i49]Rasul Karimov, Victor Lempitsky:
CNN with large memory layers. CoRR abs/2101.11685 (2021) - [i48]Renat Bashirov, Anastasia Ianina, Karim Iskakov, Yevgeniy Kononenko, Valeriya Strizhkova, Victor Lempitsky, Alexander Vakhitov:
Real-time RGBD-based Extended Body Pose Estimation. CoRR abs/2103.03663 (2021) - [i47]Ilya Zakharkin, Kirill Mazur, Artur Grigorev, Victor Lempitsky:
Point-Based Modeling of Human Clothing. CoRR abs/2104.08230 (2021) - [i46]Artur Grigorev, Karim Iskakov, Anastasia Ianina, Renat Bashirov, Ilya Zakharkin, Alexander Vakhitov, Victor Lempitsky:
StylePeople: A Generative Model of Fullbody Human Avatars. CoRR abs/2104.08363 (2021) - [i45]Dmitry Nikulin, Roman Suvorov, Aleksei Ivakhnenko, Victor Lempitsky:
Perceptual Gradient Networks. CoRR abs/2105.01957 (2021) - [i44]Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky:
Resolution-robust Large Mask Inpainting with Fourier Convolutions. CoRR abs/2109.07161 (2021) - 2020
- [j16]Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky:
Deep Image Prior. Int. J. Comput. Vis. 128(7): 1867-1888 (2020) - [c77]Maria Kolos, Artem Sevastopolsky, Victor Lempitsky:
TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer. 3DV 2020: 1167-1175 - [c76]Victor Kulikov, Victor S. Lempitsky:
Instance Segmentation of Biological Images Using Harmonic Embeddings. CVPR 2020: 3842-3850 - [c75]Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan V. Oseledets, Victor S. Lempitsky:
Hyperbolic Image Embeddings. CVPR 2020: 6417-6427 - [c74]Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Aleksei Silvestrov, Sergey I. Nikolenko, Victor Lempitsky, Gleb Sterkin:
High-Resolution Daytime Translation Without Domain Labels. CVPR 2020: 7485-7494 - [c73]Egor Burkov, Igor Pasechnik, Artur Grigorev, Victor S. Lempitsky:
Neural Head Reenactment with Latent Pose Descriptors. CVPR 2020: 13783-13792 - [c72]Elizaveta Logacheva, Roman Suvorov, Oleg Khomenko, Anton Mashikhin, Victor Lempitsky:
DeepLandscape: Adversarial Modeling of Landscape Videos. ECCV (23) 2020: 256-272 - [c71]Egor Zakharov, Aleksei Ivakhnenko, Aliaksandra Shysheya, Victor S. Lempitsky:
Fast Bi-Layer Neural Synthesis of One-Shot Realistic Head Avatars. ECCV (12) 2020: 524-540 - [c70]Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, Victor S. Lempitsky:
Neural Point-Based Graphics. ECCV (22) 2020: 696-712 - [i43]Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Alexey Silvestrov, Sergey I. Nikolenko, Victor Lempitsky, Gleb Sterkin:
High-Resolution Daytime Translation Without Domain Labels. CoRR abs/2003.08791 (2020) - [i42]Egor Burkov, Igor Pasechnik, Artur Grigorev, Victor S. Lempitsky:
Neural Head Reenactment with Latent Pose Descriptors. CoRR abs/2004.12000 (2020) - [i41]Kirill Mazur, Victor Lempitsky:
Cloud Transformers. CoRR abs/2007.11679 (2020) - [i40]Elizaveta Logacheva, Roman Suvorov, Oleg Khomenko, Anton Mashikhin, Victor Lempitsky:
DeepLandscape: Adversarial Modeling of Landscape Video. CoRR abs/2008.09655 (2020) - [i39]Egor Zakharov, Aleksei Ivakhnenko, Aliaksandra Shysheya, Victor S. Lempitsky:
Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars. CoRR abs/2008.10174 (2020) - [i38]Maria Kolos, Artem Sevastopolsky, Victor S. Lempitsky:
TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer. CoRR abs/2009.02819 (2020) - [i37]Ivan Anokhin, Kirill Demochkin, Taras Khakhulin, Gleb Sterkin, Victor Lempitsky, Denis Korzhenkov:
Image Generators with Conditionally-Independent Pixel Synthesis. CoRR abs/2011.13775 (2020) - [i36]Artem Sevastopolsky, Savva Ignatiev, Gonzalo Ferrer, Evgeny Burnaev, Victor Lempitsky:
Relightable 3D Head Portraits from a Smartphone Video. CoRR abs/2012.09963 (2020)
2010 – 2019
- 2019
- [j15]Alexander Vakhitov, Victor S. Lempitsky:
Learnable Line Segment Descriptor for Visual SLAM. IEEE Access 7: 39923-39934 (2019) - [j14]Victor Kulikov, Syuan-Ming Guo, Matthew Stone, Allen Goodman, Anne E. Carpenter, Mark Bathe, Victor S. Lempitsky:
DoGNet: A deep architecture for synapse detection in multiplexed fluorescence images. PLoS Comput. Biol. 15(5) (2019) - [c69]Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov, Karim Iskakov, Aleksei Ivakhnenko, Yury Malkov, Igor Pasechnik, Dmitry Ulyanov, Alexander Vakhitov, Victor S. Lempitsky:
Textured Neural Avatars. CVPR 2019: 2387-2397 - [c68]Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor S. Lempitsky:
Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation. CVPR 2019: 12135-12144 - [c67]Karim Iskakov, Egor Burkov, Victor S. Lempitsky, Yury Malkov:
Learnable Triangulation of Human Pose. ICCV 2019: 7717-7726 - [c66]Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor S. Lempitsky:
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models. ICCV 2019: 9458-9467 - [c65]ShahRukh Athar, Evgeny Burnaev, Victor S. Lempitsky:
Latent Convolutional Models. ICLR (Poster) 2019 - [i35]Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan V. Oseledets, Victor S. Lempitsky:
Hyperbolic Image Embeddings. CoRR abs/1904.02239 (2019) - [i34]Victor Kulikov, Victor S. Lempitsky:
Instance Segmentation of Biological Images Using Harmonic Embeddings. CoRR abs/1904.05257 (2019) - [i33]Karim Iskakov, Egor Burkov, Victor S. Lempitsky, Yury Malkov:
Learnable Triangulation of Human Pose. CoRR abs/1905.05754 (2019) - [i32]Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor S. Lempitsky:
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models. CoRR abs/1905.08233 (2019) - [i31]Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov, Karim Iskakov, Aleksei Ivakhnenko, Yury Malkov, Igor Pasechnik, Dmitry Ulyanov, Alexander Vakhitov, Victor S. Lempitsky:
Textured Neural Avatars. CoRR abs/1905.08776 (2019) - [i30]Kara-Ali Aliev, Dmitry Ulyanov, Victor S. Lempitsky:
Neural Point-Based Graphics. CoRR abs/1906.08240 (2019) - [i29]Alexander Vakhitov, Victor S. Lempitsky, Yinqiang Zheng:
Stereo relative pose from line and point feature triplets. CoRR abs/1907.00276 (2019) - 2018
- [j13]Alexander Vakhitov, Andrey Kuzmin, Victor S. Lempitsky:
Set2Model networks: Learning discriminatively to learn generative models. Comput. Vis. Image Underst. 173: 13-23 (2018) - [j12]Daniil Kononenko, Yaroslav Ganin, Diana Sungatullina, Victor S. Lempitsky:
Photorealistic Monocular Gaze Redirection Using Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(11): 2696-2710 (2018) - [c64]Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky:
It Takes (Only) Two: Adversarial Generator-Encoder Networks. AAAI 2018: 1250-1257 - [c63]Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky:
Deep Image Prior. CVPR 2018: 9446-9454 - [c62]Diana Sungatullina, Egor Zakharov, Dmitry Ulyanov, Victor S. Lempitsky:
Image Manipulation with Perceptual Discriminators. ECCV (6) 2018: 587-602 - [c61]Alexander Vakhitov, Victor S. Lempitsky, Yinqiang Zheng:
Stereo Relative Pose from Line and Point Feature Triplets. ECCV (8) 2018: 662-677 - [c60]Daniil Kononenko, Victor S. Lempitsky:
Semi-Supervised Learning for Monocular Gaze Redirection. FG 2018: 535-539 - [c59]Egor Burkov, Victor S. Lempitsky:
Deep Neural Networks with Box Convolutions. NeurIPS 2018: 6214-6224 - [c58]Victor S. Lempitsky, Alexander Vakhitov, Andrew Starostin:
CarpetVR: The Magic Carpet Meets the Magic Mirror. VR 2018: 833 - [e3]Wil M. P. van der Aalst, Dmitry I. Ignatov, Michael Yu. Khachay, Sergei O. Kuznetsov, Victor S. Lempitsky, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman:
Analysis of Images, Social Networks and Texts - 6th International Conference, AIST 2017, Moscow, Russia, July 27-29, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10716, Springer 2018, ISBN 978-3-319-73012-7 [contents] - [i28]Vadim Lebedev, Artem Babenko, Victor S. Lempitsky:
Impostor Networks for Fast Fine-Grained Recognition. CoRR abs/1806.05217 (2018) - [i27]ShahRukh Athar, Evgeniy Burnaev, Victor S. Lempitsky:
Latent Convolutional Models. CoRR abs/1806.06284 (2018) - [i26]Victor Kulikov, Victor Yurchenko, Victor S. Lempitsky:
Instance Segmentation by Deep Coloring. CoRR abs/1807.10007 (2018) - [i25]Diana Sungatullina, Egor Zakharov, Dmitry Ulyanov, Victor S. Lempitsky:
Image Manipulation with Perceptual Discriminators. CoRR abs/1809.01396 (2018) - [i24]Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor S. Lempitsky:
Coordinate-based Texture Inpainting for Pose-Guided Image Generation. CoRR abs/1811.11459 (2018) - 2017
- [c57]Evgeniya Ustinova, Yaroslav Ganin, Victor S. Lempitsky:
Multi-Region bilinear convolutional neural networks for person re-identification. AVSS 2017: 1-6 - [c56]Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky:
Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis. CVPR 2017: 4105-4113 - [c55]Victor Yurchenko, Victor S. Lempitsky:
Parsing Images of Overlapping Organisms with Deep Singling-Out Networks. CVPR 2017: 4752-4760 - [c54]Artem Babenko, Victor S. Lempitsky:
Product Split Trees. CVPR 2017: 6316-6324 - [c53]Roman Klokov, Victor S. Lempitsky:
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models. ICCV 2017: 863-872 - [c52]Artem Babenko, Victor S. Lempitsky:
AnnArbor: Approximate Nearest Neighbors Using Arborescence Coding. ICCV 2017: 4895-4903 - [c51]Andrey Kuzmin, Alexander Vakhitov, Victor S. Lempitsky:
Set2Model Networks: Learning Discriminatively To Learn Generative Models. ICCV Workshops 2017: 357-366 - [c50]Andrey Kuzmin, Dmitry Mikushin, Victor S. Lempitsky:
End-to-End learning of cost-volume aggregation for real-time dense stereo. MLSP 2017: 1-6 - [p1]Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky:
Domain-Adversarial Training of Neural Networks. Domain Adaptation in Computer Vision Applications 2017: 189-209 - [e2]Wil M. P. van der Aalst, Mikhail Yu. Khachay, Sergei O. Kuznetsov, Victor S. Lempitsky, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman, Dmitry I. Ignatov:
Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST 2017), Moscow, Russia, July 27 - 29, 2017. CEUR Workshop Proceedings 1975, CEUR-WS.org 2017 [contents] - [i23]Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky:
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis. CoRR abs/1701.02096 (2017) - [i22]Roman Klokov, Victor S. Lempitsky:
Escape from Cells: Deep Kd-Networks for The Recognition of 3D Point Cloud Models. CoRR abs/1704.01222 (2017) - [i21]Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky:
Adversarial Generator-Encoder Networks. CoRR abs/1704.02304 (2017) - [i20]Evgeniya Ustinova, Victor S. Lempitsky:
Deep multi-frame face hallucination for face identification. CoRR abs/1709.03196 (2017) - [i19]Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor S. Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P. Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Häne, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas A. Funkhouser, Hao Su, Leonidas J. Guibas:
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55. CoRR abs/1710.06104 (2017) - [i18]Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky:
Deep Image Prior. CoRR abs/1711.10925 (2017) - 2016
- [j11]Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky:
Domain-Adversarial Training of Neural Networks. J. Mach. Learn. Res. 17: 59:1-59:35 (2016) - [j10]Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman:
Detecting overlapping instances in microscopy images using extremal region trees. Medical Image Anal. 27: 3-16 (2016) - [c49]Artem Babenko, Victor S. Lempitsky:
Efficient Indexing of Billion-Scale Datasets of Deep Descriptors. CVPR 2016: 2055-2063 - [c48]Vadim Lebedev, Victor S. Lempitsky:
Fast ConvNets Using Group-Wise Brain Damage. CVPR 2016: 2554-2564 - [c47]Yaroslav Ganin, Daniil Kononenko, Diana Sungatullina, Victor S. Lempitsky:
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation. ECCV (2) 2016: 311-326 - [c46]Carlos Arteta, Victor S. Lempitsky, Andrew Zisserman:
Counting in the Wild. ECCV (7) 2016: 483-498 - [c45]Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi, Victor S. Lempitsky:
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images. ICML 2016: 1349-1357 - [c44]Andrey Kuzmin, Xiang Zhang, Jonathan Fincke, Micha Feigin, Brian W. Anthony, Victor S. Lempitsky:
Fast low-cost single element ultrasound reflectivity tomography using angular distribution analysis. ISBI 2016: 1021-1024 - [c43]Oleg Grinchuk, Vadim Lebedev, Victor S. Lempitsky:
Learnable Visual Markers. NIPS 2016: 4143-4151 - [c42]Evgeniya Ustinova, Victor S. Lempitsky:
Learning Deep Embeddings with Histogram Loss. NIPS 2016: 4170-4178 - [i17]Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi, Victor S. Lempitsky:
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images. CoRR abs/1603.03417 (2016) - [i16]Artem Babenko, Relja Arandjelovic, Victor S. Lempitsky:
Pairwise Quantization. CoRR abs/1606.01550 (2016) - [i15]Yaroslav Ganin, Daniil Kononenko, Diana Sungatullina, Victor S. Lempitsky:
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation. CoRR abs/1607.07215 (2016) - [i14]Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky:
Instance Normalization: The Missing Ingredient for Fast Stylization. CoRR abs/1607.08022 (2016) - [i13]Oleg Grinchuk, Vadim Lebedev, Victor S. Lempitsky:
Learnable Visual Markers. CoRR abs/1610.09237 (2016) - [i12]Evgeniya Ustinova, Victor S. Lempitsky:
Learning Deep Embeddings with Histogram Loss. CoRR abs/1611.00822 (2016) - [i11]Andrey Kuzmin, Dmitry Mikushin, Victor S. Lempitsky:
End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo. CoRR abs/1611.05689 (2016) - [i10]Victor Yurchenko, Victor S. Lempitsky:
Parsing Images of Overlapping Organisms with Deep Singling-Out Networks. CoRR abs/1612.06017 (2016) - [i9]Alexander Vakhitov, Andrey Kuzmin, Victor S. Lempitsky:
Internet-Based Image Retrieval Using End-to-End Trained Deep Distributions. CoRR abs/1612.07697 (2016) - 2015
- [j9]Sergey Milyaev, Olga Barinova, Tatiana Novikova, Pushmeet Kohli, Victor S. Lempitsky:
Fast and accurate scene text understanding with image binarization and off-the-shelf OCR. Int. J. Document Anal. Recognit. 18(2): 169-182 (2015) - [j8]Artem Babenko, Victor S. Lempitsky:
The Inverted Multi-Index. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1247-1260 (2015) - [c41]Artem Babenko, Victor S. Lempitsky:
Tree quantization for large-scale similarity search and classification. CVPR 2015: 4240-4248 - [c40]Daniil Kononenko, Victor S. Lempitsky:
Learning to look up: Realtime monocular gaze correction using machine learning. CVPR 2015: 4667-4675 - [c39]Xiang Zhang, Jonathan Fincke, Andrey Kuzmin, Victor S. Lempitsky, Brian W. Anthony:
A single element 3D ultrasound tomography system. EMBC 2015: 5541-5544 - [c38]Bryan J. Ranger, Micha Feigin, Nikita Pestrov, Xiang Zhang, Victor S. Lempitsky, Hugh M. Herr, Brian W. Anthony:
Motion compensation in a tomographic ultrasound imaging system: Toward volumetric scans of a limb for prosthetic socket design. EMBC 2015: 7204-7207 - [c37]Artem Babenko, Victor S. Lempitsky:
Aggregating Local Deep Features for Image Retrieval. ICCV 2015: 1269-1277 - [c36]Yaroslav Ganin, Victor S. Lempitsky:
Unsupervised Domain Adaptation by Backpropagation. ICML 2015: 1180-1189 - [c35]Vadim Lebedev, Yaroslav Ganin, Maksim Rakhuba, Ivan V. Oseledets, Victor S. Lempitsky:
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition. ICLR (Poster) 2015 - [i8]Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky:
Domain-Adversarial Training of Neural Networks. CoRR abs/1505.07818 (2015) - [i7]Vadim Lebedev, Victor S. Lempitsky:
Fast ConvNets Using Group-wise Brain Damage. CoRR abs/1506.02515 (2015) - [i6]Artem Babenko, Victor S. Lempitsky:
Aggregating Deep Convolutional Features for Image Retrieval. CoRR abs/1510.07493 (2015) - [i5]Evgeniya Ustinova, Yaroslav Ganin, Victor S. Lempitsky:
Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification. CoRR abs/1512.05300 (2015) - 2014
- [c34]Yaroslav Ganin, Victor S. Lempitsky:
N^4 -Fields: Neural Network Nearest Neighbor Fields for Image Transforms. ACCV (2) 2014: 536-551 - [c33]Artem Babenko, Victor S. Lempitsky:
Additive Quantization for Extreme Vector Compression. CVPR 2014: 931-938 - [c32]Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman:
Interactive Object Counting. ECCV (3) 2014: 504-518 - [c31]Artem Babenko, Anton Slesarev, Alexander Chigorin, Victor S. Lempitsky:
Neural Codes for Image Retrieval. ECCV (1) 2014: 584-599 - [i4]Artem Babenko, Anton Slesarev, Alexander Chigorin, Victor S. Lempitsky:
Neural Codes for Image Retrieval. CoRR abs/1404.1777 (2014) - [i3]Artem Babenko, Victor S. Lempitsky:
Improving Bilayer Product Quantization for Billion-Scale Approximate Nearest Neighbors in High Dimensions. CoRR abs/1404.1831 (2014) - [i2]Yaroslav Ganin, Victor S. Lempitsky:
N4-Fields: Neural Network Nearest Neighbor Fields for Image Transforms. CoRR abs/1406.6558 (2014) - [i1]Yaroslav Ganin, Victor S. Lempitsky:
Unsupervised Domain Adaptation by Backpropagation. CoRR abs/1409.7495 (2014) - 2013
- [j7]Yuri Boykov, Fredrik Kahl, Victor S. Lempitsky, Frank R. Schmidt:
Guest Editorial: Energy Optimization Methods. Int. J. Comput. Vis. 104(3): 221-222 (2013) - [c30]Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman:
Learning to Detect Partially Overlapping Instances. CVPR 2013: 3230-3237 - [c29]Yuning Chai, Victor S. Lempitsky, Andrew Zisserman:
Symbiotic Segmentation and Part Localization for Fine-Grained Categorization. ICCV 2013: 321-328 - [c28]Sergey Milyaev, Olga Barinova, Tatiana Novikova, Pushmeet Kohli, Victor S. Lempitsky:
Image Binarization for End-to-End Text Understanding in Natural Images. ICDAR 2013: 128-132 - 2012
- [j6]Elena Tretyak, Olga Barinova, Pushmeet Kohli, Victor S. Lempitsky:
Geometric Image Parsing in Man-Made Environments. Int. J. Comput. Vis. 97(3): 305-321 (2012) - [j5]Victor S. Lempitsky, Andrew Blake, Carsten Rother:
Branch-and-Mincut: Global Optimization for Image Segmentation with High-Level Priors. J. Math. Imaging Vis. 44(3): 315-329 (2012) - [j4]Olga Barinova, Victor S. Lempitsky, Pushmeet Kohli:
On Detection of Multiple Object Instances Using Hough Transforms. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1773-1784 (2012) - [c27]Artem Babenko, Victor S. Lempitsky:
The inverted multi-index. CVPR 2012: 3069-3076 - [c26]Tatiana Novikova, Olga Barinova, Pushmeet Kohli, Victor S. Lempitsky:
Large-Lexicon Attribute-Consistent Text Recognition in Natural Images. ECCV (6) 2012: 752-765 - [c25]Yuning Chai, Esa Rahtu, Victor S. Lempitsky, Luc Van Gool, Andrew Zisserman:
TriCoS: A Tri-level Class-Discriminative Co-segmentation Method for Image Classification. ECCV (1) 2012: 794-807 - [c24]Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman:
Learning to Detect Cells Using Non-overlapping Extremal Regions. MICCAI (1) 2012: 348-356 - 2011
- [j3]Juergen Gall, Angela Yao, Nima Razavi, Luc Van Gool, Victor S. Lempitsky:
Hough Forests for Object Detection, Tracking, and Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2188-2202 (2011) - [c23]Ken Chatfield, Victor S. Lempitsky, Andrea Vedaldi, Andrew Zisserman:
The devil is in the details: an evaluation of recent feature encoding methods. BMVC 2011: 1-12 - [c22]Yuning Chai, Victor S. Lempitsky, Andrew Zisserman:
BiCoS: A Bi-level co-segmentation method for image classification. ICCV 2011: 2579-2586 - [c21]Varun Gulshan, Victor S. Lempitsky, Andrew Zisserman:
Humanising GrabCut: Learning to segment humans using the Kinect. ICCV Workshops 2011: 1127-1133 - [c20]Victor S. Lempitsky, Andrea Vedaldi, Andrew Zisserman:
Pylon Model for Semantic Segmentation. NIPS 2011: 1485-1493 - [e1]Yuri Boykov, Fredrik Kahl, Victor S. Lempitsky, Frank R. Schmidt:
Energy Minimazation Methods in Computer Vision and Pattern Recognition - 8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011. Proceedings. Lecture Notes in Computer Science 6819, Springer 2011, ISBN 978-3-642-23093-6 [contents] - 2010
- [j2]Victor S. Lempitsky, Carsten Rother, Stefan Roth, Andrew Blake:
Fusion Moves for Markov Random Field Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 32(8): 1392-1405 (2010) - [c19]Victor S. Lempitsky:
Surface extraction from binary volumes with higher-order smoothness. CVPR 2010: 1197-1204 - [c18]Olga Barinova, Victor S. Lempitsky, Pushmeet Kohli:
On detection of multiple object instances using hough transforms. CVPR 2010: 2233-2240 - [c17]Pushmeet Kohli, Victor S. Lempitsky, Carsten Rother:
Uncertainty Driven Multi-scale Optimization. DAGM-Symposium 2010: 242-251 - [c16]Olga Barinova, Victor S. Lempitsky, Elena Tretiak, Pushmeet Kohli:
Geometric Image Parsing in Man-Made Environments. ECCV (2) 2010: 57-70 - [c15]Victor S. Lempitsky, Andrew Zisserman:
Learning To Count Objects in Images. NIPS 2010: 1324-1332
2000 – 2009
- 2009
- [c14]Juergen Gall, Victor S. Lempitsky:
Class-specific Hough forests for object detection. CVPR 2009: 1022-1029 - [c13]Victor S. Lempitsky, Michael Verhoek, J. Alison Noble, Andrew Blake:
Random Forest Classification for Automatic Delineation of Myocardium in Real-Time 3D Echocardiography. FIMH 2009: 447-456 - [c12]Victor S. Lempitsky, Pushmeet Kohli, Carsten Rother, Toby Sharp:
Image segmentation with a bounding box prior. ICCV 2009: 277-284 - 2008
- [c11]Victor S. Lempitsky, Stefan Roth, Carsten Rother:
FusionFlow: Discrete-continuous optimization for optical flow estimation. CVPR 2008 - [c10]Stefan Roth, Victor S. Lempitsky, Carsten Rother:
Discrete-Continuous Optimization for Optical Flow Estimation. Statistical and Geometrical Approaches to Visual Motion Analysis 2008: 1-22 - [c9]Victor S. Lempitsky, Andrew Blake, Carsten Rother:
Image Segmentation by Branch-and-Mincut. ECCV (4) 2008: 15-29 - 2007
- [c8]Victor S. Lempitsky, Yuri Boykov:
Global Optimization for Shape Fitting. CVPR 2007 - [c7]Victor S. Lempitsky, Denis V. Ivanov:
Seamless Mosaicing of Image-Based Texture Maps. CVPR 2007 - [c6]Carsten Rother, Vladimir Kolmogorov, Victor S. Lempitsky, Martin Szummer:
Optimizing Binary MRFs via Extended Roof Duality. CVPR 2007 - [c5]Victor S. Lempitsky, Carsten Rother, Andrew Blake:
LogCut - Efficient Graph Cut Optimization for Markov Random Fields. ICCV 2007: 1-8 - 2006
- [c4]Yuri Boykov, Victor S. Lempitsky:
From Photohulls to Photoflux Optimization. BMVC 2006: 1149-1158 - [c3]Victor S. Lempitsky, Yuri Boykov, Denis V. Ivanov:
Oriented Visibility for Multiview Reconstruction. ECCV (3) 2006: 226-238 - 2004
- [j1]V. G. Zhislina, Denis V. Ivanov, V. F. Kuriakin, Victor S. Lempitsky, E. M. Martinova, Konstantin Vladimirovich Rodyushkin, T. V. Firsova, A. A. Khropov, Alexander V. Shokurov:
Creating and Animating Personalized Head Models from Digital Photographs and Video. Program. Comput. Softw. 30(5): 242-257 (2004) - 2002
- [c2]Victor S. Lempitsky, Denis V. Ivanov, Yevgeniy Kuzmin:
Texturing Calibrated Head Model from Images. Eurographics (Short Presentations) 2002 - [c1]Denis V. Ivanov, Yevgeniy Kuzmin, Victor S. Lempitsky:
Modeling with Spatial Patches. Shape Modeling International 2002: 75-82
Coauthor Index
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