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2020 – today
- 2024
[i20]Hiroki Azuma, Yusuke Matsui, Atsuto Maki:
ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer. CoRR abs/2403.13652 (2024)- [i19]Xiaomeng Zhu, Talha Bilal, Pär Mårtensson, Lars Hanson, Mårten Björkman, Atsuto Maki:
Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset. CoRR abs/2404.08778 (2024) - [i18]Romeo Lanzino, Federico Fontana, Luigi Cinque, Francesco Scarcello, Atsuto Maki:
NT-ViT: Neural Transcoding Vision Transformers for EEG-to-fMRI Synthesis. CoRR abs/2409.11836 (2024) - 2023
- [j25]Kazuhiro Fukui
, Naoya Sogi, Takumi Kobayashi, Jing-Hao Xue, Atsuto Maki:
Discriminant Feature Extraction by Generalized Difference Subspace. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1618-1635 (2023) - [c54]Xiaomeng Zhu, Talha Bilal, Pär Mårtensson, Lars Hanson, Mårten Björkman, Atsuto Maki:
Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset. CVPR Workshops 2023: 4454-4463 - [c53]Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki:
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks. NLDL 2023 - [c52]Daniel Sabel, Torbjörn Westin, Atsuto Maki:
3D Point Cloud Registration for GNSS-denied Aerial Localization over Forests. SCIA (1) 2023: 396-411 - [i17]Takumi Kanai, Naoya Sogi, Atsuto Maki, Kazuhiro Fukui:
Time-series Anomaly Detection based on Difference Subspace between Signal Subspaces. CoRR abs/2303.17802 (2023) - [i16]Marcus Nordström, Henrik Hult, Atsuto Maki, Fredrik Löfman:
Noisy Image Segmentation With Soft-Dice. CoRR abs/2304.00801 (2023) - [i15]Marcus Nordström, Henrik Hult, Atsuto Maki:
Marginal Thresholding in Noisy Image Segmentation. CoRR abs/2304.04116 (2023) - 2022
- [j24]Atsuto Maki, Danica Kragic, Hedvig Kjellström, Hossein Azizpour, Josephine Sullivan, Mårten Björkman, Patric Jensfelt, Stefan Carlsson, Tony Lindeberg, Yngve Sundblad:
In Memoriam: Jan-Olof Eklundh. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4488-4489 (2022) - [j23]Louise Rixon Fuchs, Atsuto Maki, Andreas Gällström:
Optimization Method for Wide Beam Sonar Transmit Beamforming. Sensors 22(19): 7526 (2022) - [c51]Miquel Martí, Sebastian Bujwid, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki:
An analysis of over-sampling labeled data in semi-supervised learning with FixMatch. NLDL 2022 - [i14]Miquel Martí i Rabadán, Sebastian Bujwid, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki:
An analysis of over-sampling labeled data in semi-supervised learning with FixMatch. CoRR abs/2201.00604 (2022) - [i13]Vladimir Li, Atsuto Maki:
Towards a Unified View of Affinity-Based Knowledge Distillation. CoRR abs/2209.15555 (2022) - [i12]Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki:
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks. CoRR abs/2210.09919 (2022) - 2020
- [j22]Atsuto Maki:
Foreword. IEICE Trans. Inf. Syst. 103-D(6): 1208 (2020) - [c50]Yang Zhong, Atsuto Maki:
Regularizing CNN Transfer Learning With Randomised Regression. CVPR 2020: 13634-13643 - [c49]Luca Marson, Vladimir Li, Atsuto Maki:
Boundary Optimised Samples Training for Detecting Out-of-Distribution Images. ICPR 2020: 10486-10492 - [c48]Marcus Nordström, Han Bao, Fredrik Löfman, Henrik Hult, Atsuto Maki, Masashi Sugiyama:
Calibrated Surrogate Maximization of Dice. MICCAI (4) 2020: 269-278
2010 – 2019
- 2019
- [j21]Atsuto Maki:
Toward principled regularization of deep networks - From weight decay to feature contraction. Sci. Robotics 4(30) (2019) - [c47]Di Feng, Xiao Wei, Lars Rosenbaum, Atsuto Maki, Klaus Dietmayer:
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector. IV 2019: 667-674 - [i11]Di Feng, Xiao Wei, Lars Rosenbaum, Atsuto Maki, Klaus Dietmayer:
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector. CoRR abs/1901.10609 (2019) - [i10]Yang Zhong, Atsuto Maki:
Pseudo-task Regularization for ConvNet Transfer Learning. CoRR abs/1908.05997 (2019) - [i9]Kazuhiro Fukui, Naoya Sogi, Takumi Kobayashi, Jing-Hao Xue, Atsuto Maki:
Discriminant analysis based on projection onto generalized difference subspace. CoRR abs/1910.13113 (2019) - 2018
- [j20]Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski:
A systematic study of the class imbalance problem in convolutional neural networks. Neural Networks 106: 249-259 (2018) - [c46]Vladimir Li, Atsuto Maki:
Feature Contraction: New ConvNet Regularization in Image Classification. BMVC 2018: 213 - [c45]Yang Zhong, Vladimir Li, Ryuzo Okada, Atsuto Maki:
Target Aware Network Adaptation for Efficient Representation Learning. ECCV Workshops (4) 2018: 450-467 - [i8]Yang Zhong, Vladimir Li, Ryuzo Okada, Atsuto Maki:
Target Aware Network Adaptation for Efficient Representation Learning. CoRR abs/1810.01104 (2018) - 2017
- [c44]Ali Ghadirzadeh, Atsuto Maki, Danica Kragic, Mårten Björkman:
Deep predictive policy training using reinforcement learning. IROS 2017: 2351-2358 - [i7]Ali Ghadirzadeh, Atsuto Maki, Danica Kragic, Mårten Björkman:
Deep Predictive Policy Training using Reinforcement Learning. CoRR abs/1703.00727 (2017) - [i6]Shinya Nawata, Atsuto Maki, Takashi Hikihara:
Power packet transferability via symbol propagation matrix. CoRR abs/1708.02676 (2017) - [i5]Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski:
A systematic study of the class imbalance problem in convolutional neural networks. CoRR abs/1710.05381 (2017) - [i4]Miquel Martí, Atsuto Maki:
A multitask deep learning model for real-time deployment in embedded systems. CoRR abs/1711.00146 (2017) - 2016
- [j19]Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson:
Factors of Transferability for a Generic ConvNet Representation. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1790-1802 (2016) - [j18]Virgile Hogman, Mårten Björkman, Atsuto Maki, Danica Kragic:
A Sensorimotor Learning Framework for Object Categorization. IEEE Trans. Cogn. Dev. Syst. 8(1): 15-25 (2016) - [c43]Johan Johansson, Martin Solli, Atsuto Maki:
An Evaluation of Local Feature Detectors and Descriptors for Infrared Images. ECCV Workshops (3) 2016: 711-723 - [c42]Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman:
A sensorimotor reinforcement learning framework for physical Human-Robot Interaction. IROS 2016: 2682-2688 - [i3]Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman:
A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction. CoRR abs/1607.07939 (2016) - 2015
- [j17]Mikael Brudfors, Alexander Seitel, Abtin Rasoulian, Andras Lasso, Victoria A. Lessoway, Jill Osborn, Atsuto Maki, Robert N. Rohling, Purang Abolmaesumi:
Towards real-time, tracker-less 3D ultrasound guidance for spine anaesthesia. Int. J. Comput. Assist. Radiol. Surg. 10(6): 855-865 (2015) - [j16]Minh-Tri Pham, Oliver J. Woodford, Frank Perbet, Atsuto Maki, Riccardo Gherardi, Björn Stenger, Roberto Cipolla:
Distances and Means of Direct Similarities. Int. J. Comput. Vis. 112(3): 285-306 (2015) - [j15]Kazuhiro Fukui, Atsuto Maki:
Difference Subspace and Its Generalization for Subspace-Based Methods. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2164-2177 (2015) - [c41]Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson:
From generic to specific deep representations for visual recognition. CVPR Workshops 2015: 36-45 - [c40]Ali Ghadirzadeh, Atsuto Maki, Mårten Björkman:
A sensorimotor approach for self-learning of hand-eye coordination. IROS 2015: 4969-4975 - [c39]Ali Sharif Razavian, Hossein Azizpour, Atsuto Maki, Josephine Sullivan, Carl Henrik Ek, Stefan Carlsson:
Persistent Evidence of Local Image Properties in Generic ConvNets. SCIA 2015: 249-262 - [c38]Rickard Norlander, Josef Grahn, Atsuto Maki:
Wooden Knot Detection Using ConvNet Transfer Learning. SCIA 2015: 263-274 - [c37]Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson:
Visual Instance Retrieval with Deep Convolutional Networks. ICLR (Workshop) 2015 - 2014
- [j14]Oliver J. Woodford, Minh-Tri Pham, Atsuto Maki, Frank Perbet, Björn Stenger:
Demisting the Hough Transform for 3D Shape Recognition and Registration. Int. J. Comput. Vis. 106(3): 332-341 (2014) - [c36]Ali Ghadirzadeh, Gert Kootstra, Atsuto Maki, Mårten Björkman:
Learning visual forward models to compensate for self-induced image motion. RO-MAN 2014: 1110-1115 - [i2]Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson:
From Generic to Specific Deep Representations for Visual Recognition. CoRR abs/1406.5774 (2014) - [i1]Ali Sharif Razavian, Hossein Azizpour, Atsuto Maki, Josephine Sullivan, Carl Henrik Ek, Stefan Carlsson:
Persistent Evidence of Local Image Properties in Generic ConvNets. CoRR abs/1411.6509 (2014) - 2013
- [j13]Atsuto Maki, Frank Perbet, Björn Stenger, Roberto Cipolla:
Detecting bipedal motion from correlated probabilistic trajectories. Pattern Recognit. Lett. 34(15): 1808-1818 (2013) - [p2]Minh-Tri Pham, Oliver J. Woodford, Frank Perbet, Atsuto Maki, Riccardo Gherardi, Björn Stenger, Roberto Cipolla:
Scale-Invariant Vote-Based 3D Recognition and Registration from Point Clouds. Machine Learning for Computer Vision 2013: 137-162 - 2012
- [j12]Frank Perbet, Björn Stenger, Atsuto Maki:
Homogeneous Superpixels from Markov Random Walks. IEICE Trans. Inf. Syst. 95-D(7): 1740-1748 (2012) - [c35]Oliver J. Woodford, Minh-Tri Pham, Atsuto Maki, Riccardo Gherardi, Frank Perbet, Björn Stenger:
Contraction Moves for Geometric Model Fitting. ECCV (7) 2012: 181-194 - [c34]Martin Peris, Sara Martull, Atsuto Maki, Yasuhiro Ohkawa, Kazuhiro Fukui:
Towards a simulation driven stereo vision system. ICPR 2012: 1038-1042 - [c33]Atsuto Maki, Riccardo Gherardi:
Conditional Variance of Differences: A Robust Similarity Measure for Matching and Registration. SSPR/SPR 2012: 657-665 - 2011
- [j11]Behzad Sajadi, Aditi Majumder, Kazuhiro Hiwada, Atsuto Maki, Ramesh Raskar:
Switchable primaries using shiftable layers of color filter arrays. ACM Trans. Graph. 30(4): 65 (2011) - [c32]Oliver J. Woodford, Minh-Tri Pham, Atsuto Maki, Frank Perbet, Björn Stenger:
Demisting the Hough Transform for 3D Shape Recognition and Registration. BMVC 2011: 1-11 - [c31]Minh-Tri Pham, Oliver J. Woodford, Frank Perbet, Atsuto Maki, Björn Stenger, Roberto Cipolla:
A new distance for scale-invariant 3D shape recognition and registration. ICCV 2011: 145-152 - [c30]Carlos Hernández, Frank Perbet, Minh-Tri Pham, George Vogiatzis, Oliver J. Woodford, Atsuto Maki, Björn Stenger, Roberto Cipolla:
Live 3D shape reconstruction, recognition and registration. ICCV Workshops 2011: 729 - [c29]Atsuto Maki, Akihito Seki, Tomoki Watanabe, Roberto Cipolla:
Co-occurrence flow for pedestrian detection. ICIP 2011: 1889-1892 - [c28]Frank Perbet, Atsuto Maki:
Homogeneous Superpixels from Random Walks. MVA 2011: 26-30 - 2010
- [c27]Hajime Mizuyama, Kayo Yamada, Atsuto Maki, Kazuto Tanaka:
A semiotic characterization of the process of teaching and learning a skilled motion taking wok handling as an example. IFAC HMS 2010: 448-453 - [p1]Takeshi Takai, Susumu Iino, Atsuto Maki, Takashi Matsuyama:
3-D Lighting Environment Estimation with Shading and Shadows. Image and Geometry Processing for 3-D Cinematography 2010: 239-257
2000 – 2009
- 2009
- [j10]Takeshi Takai, Atsuto Maki, Koichiro Niinuma, Takashi Matsuyama:
Difference sphere: An approach to near light source estimation. Comput. Vis. Image Underst. 113(9): 966-978 (2009) - [j9]Jonathan Starck, Atsuto Maki, Shohei Nobuhara, Adrian Hilton, Takashi Matsuyama:
The Multiple-Camera 3-D Production Studio. IEEE Trans. Circuits Syst. Video Technol. 19(6): 856-869 (2009) - [c26]Atsuto Maki, Roberto Cipolla:
Obtaining the Shape of a Moving Object with a Specular Surface. BMVC 2009: 1-10 - [c25]Frank Perbet, Björn Stenger, Atsuto Maki:
Random Forest Clustering and Application to Video Segmentation. BMVC 2009: 1-10 - [c24]Frank Perbet, Atsuto Maki, Björn Stenger:
Correlated probabilistic trajectories for pedestrian motion detection. ICCV 2009: 1647-1654 - 2008
- [c23]Tomoyuki Mukasa, Arata Miyamoto, Shohei Nobuhara, Atsuto Maki, Takashi Matsuyama:
Complex human motion estimation using visibility. FG 2008: 1-6 - [c22]Atsuto Maki, Yosuke Hatanaka, Takashi Matsuyama:
Tracking features on a moving object using local image bases. ICPR 2008: 1-5 - 2007
- [c21]Masaaki Nishino, Atsuto Maki, Takashi Matsuyama:
Phase-Based Feature Matching Under Illumination Variances. IEA/AIE 2007: 94-104 - 2006
- [c20]Tomoyuki Mukasa, Shohei Nobuhara, Atsuto Maki, Takashi Matsuyama:
Finding Articulated Body in Time-Series Volume Data. AMDO 2006: 395-404 - 2005
- [c19]Atsuto Maki:
3D Surface Reconstruction of a Moving Object in the Presence of Specular Reflection. ICIAP 2005: 867-875 - 2004
- [j8]Atsuto Maki:
Photometric subspace for multibody motion segmentation. Image Vis. Comput. 22(8): 655-662 (2004) - [j7]Atsuto Maki, Kazuhiro Fukui:
Ship identification in sequential ISAR imagery. Mach. Vis. Appl. 15(3): 149-155 (2004) - [j6]Atsuto Maki, Mutsumi Watanabe, Charles Wiles:
Geotensity constraint for 3D surface reconstruction. Syst. Comput. Jpn. 35(4): 72-83 (2004) - [c18]Takeshi Takai, Koichiro Niinuma, Atsuto Maki, Takashi Matsuyama:
Difference Sphere: An Approach to Near Light Source Estimation. CVPR (1) 2004: 98-105 - 2003
- [c17]Akiko Nakashima, Atsuto Maki:
Synthesizing pose and lighting variation from object motion. ICIP (3) 2003: 725-728 - [c16]Kazuhiro Hiwada, Atsuto Maki, Akiko Nakashima:
Mimicking video: real-time morphable 3D model fitting. VRST 2003: 132-139 - 2002
- [j5]Atsuto Maki, Mutsumi Watanabe, Charles Wiles:
Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction. Int. J. Comput. Vis. 48(2): 75-90 (2002) - [c15]Akiko Nakashima, Atsuto Maki, Kazuhiro Fukui:
Constructing Illumination Image Basis from Object Motion. ECCV (3) 2002: 195-209 - [c14]Ryuzo Okada, Atsuto Maki, Yasuhiro Taniguchi, Kazunori Onoguchi:
Temporally Evaluated Optical Flow: Study on Accuracy. ICPR (1) 2002: 343-347 - 2001
- [j4]Charles Wiles, Atsuto Maki, Natsuko Matsuda:
Hyperpatches for 3D Model Acquisition and Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 23(12): 1391-1403 (2001) - [c13]Atsuto Maki, Hiroshi Hattori:
Illumination Subspace for Multibody Motion Segmentation. CVPR (2) 2001: 11-17 - [c12]Atsuto Maki, Kazuhiro Fukui, Kazunori Onoguchi, Ken-ichi Maeda:
ISAR Image Analysis by Subspace Method: Automatic Extraction and Identification of Ship Profile. ICIAP 2001: 523-528 - 2000
- [j3]Atsuto Maki, Peter Nordlund, Jan-Olof Eklundh:
Attentional Scene Segmentation: Integrating Depth and Motion. Comput. Vis. Image Underst. 78(3): 351-373 (2000) - [j2]Atsuto Maki:
Estimation of illuminant direction and surface reconstruction by Geotensity constraint. Pattern Recognit. Lett. 21(13-14): 1115-1123 (2000) - [c11]Hiroshi Hattori, Atsuto Maki:
Stereo without Depth Search and Metric Calibration. CVPR 2000: 1177- - [c10]Atsuto Maki, Charles Wiles:
Geotensity Constraint for 3D Surface Reconstruction under Multiple Light Sources. ECCV (1) 2000: 725-741
1990 – 1999
- 1998
- [c9]Hiroshi Hattori, Atsuto Maki:
Stereo Matching with Direct Surface Orientation Recovery. BMVC 1998: 1-11 - [c8]Atsuto Maki, Mutsumi Watanabe, Charles Wiles:
Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction. ICCV 1998: 1053-1060 - 1997
- [c7]Charles Wiles, Atsuto Maki, Natsuko Matsuda, Mutsumi Watanabe:
Hyper-patches for 3D model acquisition and tracking. CVPR 1997: 1074-1080 - 1996
- [c6]Atsuto Maki, Peter Nordlund, Jan-Olof Eklundh:
A computational model of depth-based attention. ICPR 1996: 734-739 - [c5]Atsuto Maki, Tomas Uhlin, Jan-Olof Eklundh:
A Direct Disparity Estimation Technique for Depth Segmentation. MVA 1996: 530-533 - 1995
- [j1]Atsuto Maki, Tomas Uhlin:
Disparity Selection in Binocular Pursuit. IEICE Trans. Inf. Syst. 78-D(12): 1591-1597 (1995) - [c4]Jan-Olof Eklundh, Tomas Uhlin, Peter Nordlund, Atsuto Maki:
Developing an Active Observer. ACCV 1995: 181-190 - [c3]Atsuto Maki, Lars Bretzner, Jan-Olof Eklundh:
Local Fourir Phase and Disparity Estimates: An Analytical Study. CAIP 1995: 868-873 - [c2]Tomas Uhlin, Peter Nordlund, Atsuto Maki, Jan-Olof Eklundh:
Towards an Active Visual Observer. ICCV 1995: 679-686 - 1994
- [c1]Atsuto Maki, Tomas Uhlin, Jan-Olof Eklundh:
Disparity Selection in Binocular Pursuit. MVA 1994: 182-185
Coauthor Index
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