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2020 – today
- 2023
[j28]Krzysztof Lis
, Sina Honari, Pascal Fua, Mathieu Salzmann:
Perspective Aware Road Obstacle Detection. IEEE Robotics Autom. Lett. 8(4): 2150-2157 (2023)- [c152]Tianle Chen, Mahsa Baktashmotlagh, Zijian Wang, Mathieu Salzmann:
Center-aware Adversarial Augmentation for Single Domain Generalization. WACV 2023: 4146-4154 - [i139]Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction. CoRR abs/2301.02315 (2023) - [i138]Vidit Vidit, Martin Engilberge, Mathieu Salzmann:
Learning Transformations To Reduce the Geometric Shift in Object Detection. CoRR abs/2301.05496 (2023) - [i137]Vidit Vidit, Martin Engilberge, Mathieu Salzmann:
CLIP the Gap: A Single Domain Generalization Approach for Object Detection. CoRR abs/2301.05499 (2023) - [i136]Saqib Javed, Andrew Price, Yinlin Hu, Mathieu Salzmann:
Module-Wise Network Quantization for 6D Object Pose Estimation. CoRR abs/2303.06753 (2023) - [i135]Qiao Wu, Jiaqi Yang, Kun Sun, Chu'ai Zhang, Yanning Zhang, Mathieu Salzmann:
MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency. CoRR abs/2303.09219 (2023) - [i134]Fulin Liu, Yinlin Hu, Mathieu Salzmann:
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation. CoRR abs/2303.11516 (2023) - 2022
- [j27]Vidit Vidit, Mathieu Salzmann:
Attention-based domain adaptation for single-stage detectors. Mach. Vis. Appl. 33(5): 65 (2022) - [j26]Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua:
GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 181-195 (2022) - [j25]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Robust Differentiable SVD. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5472-5487 (2022) - [j24]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8110-8124 (2022) - [j23]Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Counting People by Estimating People Flows. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8151-8166 (2022) - [j22]Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua:
Self-Supervised Human Detection and Segmentation via Background Inpainting. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9574-9588 (2022) - [c151]Sena Kiciroglu, Wei Wang, Mathieu Salzmann, Pascal Fua:
Long Term Motion Prediction Using Keyposes. 3DV 2022: 12-21 - [c150]Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua:
3D Pose Based Feedback for Physical Exercises. ACCV (4) 2022: 189-205 - [c149]Van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, Vincent Lepetit:
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. CVPR 2022: 6761-6770 - [c148]Wei Mao, Miaomiao Liu, Mathieu Salzmann:
Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction. CVPR 2022: 8141-8150 - [c147]Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua:
Adversarial Parametric Pose Prior. CVPR 2022: 10987-10995 - [c146]Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann:
MuIT: An End-to-End Multitask Learning Transformer. CVPR 2022: 12021-12031 - [c145]Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann:
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. CVPR 2022: 16559-16568 - [c144]Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann:
Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. ECCV (1) 2022: 19-37 - [c143]Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. ECCV (2) 2022: 89-106 - [c142]Chen Zhao, Yinlin Hu, Mathieu Salzmann:
Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects. ECCV (1) 2022: 106-122 - [c141]Krishna Kanth Nakka, Mathieu Salzmann:
Universal, Transferable Adversarial Perturbations for Visual Object Trackers. ECCV Workshops (1) 2022: 413-429 - [c140]Tianle Chen, Mahsa Baktashmotlagh, Mathieu Salzmann:
Contrastive Class-aware Adaptation for Domain Generalization. ICPR 2022: 4871-4876 - [c139]Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk:
Estimating Image Depth in the Comics Domain. WACV 2022: 1111-1120 - [c138]Mahsa Baktashmotlagh, Tianle Chen, Mathieu Salzmann:
Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift. WACV 2022: 3737-3746 - [i133]Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann:
Robust Binary Models by Pruning Randomly-initialized Networks. CoRR abs/2202.01341 (2022) - [i132]Chen Zhao, Yinlin Hu, Mathieu Salzmann:
Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects. CoRR abs/2203.08472 (2022) - [i131]Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. CoRR abs/2203.09836 (2022) - [i130]Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann:
Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World. CoRR abs/2203.15309 (2022) - [i129]Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann:
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. CoRR abs/2203.17205 (2022) - [i128]Van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, Vincent Lepetit:
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. CoRR abs/2203.17234 (2022) - [i127]Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann:
MulT: An End-to-End Multitask Learning Transformer. CoRR abs/2205.08303 (2022) - [i126]Shuxuan Guo, Yinlin Hu, Jose M. Alvarez, Mathieu Salzmann:
Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment. CoRR abs/2205.14971 (2022) - [i125]Wei Mao, Miaomiao Liu, Mathieu Salzmann:
Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction. CoRR abs/2205.15608 (2022) - [i124]Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang:
Fast Adversarial Training with Adaptive Step Size. CoRR abs/2206.02417 (2022) - [i123]Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua:
3D Pose Based Feedback for Physical Exercises. CoRR abs/2208.03257 (2022) - [i122]Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann:
Perspective Aware Road Obstacle Detection. CoRR abs/2210.01779 (2022) - [i121]Wei Mao, Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann:
Contact-aware Human Motion Forecasting. CoRR abs/2210.03954 (2022) - [i120]Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua:
DrapeNet: Generating Garments and Draping them with Self-Supervision. CoRR abs/2211.11277 (2022) - [i119]Chen Zhao, Yinlin Hu, Mathieu Salzmann:
Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation. CoRR abs/2211.16290 (2022) - [i118]Baran Ozaydin, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann:
DSI2I: Dense Style for Unpaired Image-to-Image Translation. CoRR abs/2212.13253 (2022) - [i117]Krzysztof Lis, Matthias Rottmann, Sina Honari, Pascal Fua, Mathieu Salzmann:
AttEntropy: Segmenting Unknown Objects in Complex Scenes using the Spatial Attention Entropy of Semantic Segmentation Transformers. CoRR abs/2212.14397 (2022) - 2021
- [j21]Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li:
Multi-level Motion Attention for Human Motion Prediction. Int. J. Comput. Vis. 129(9): 2513-2535 (2021) - [j20]Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann:
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3167-3182 (2021) - [j19]Siyuan Hao, Wei Wang, Mathieu Salzmann:
Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(3): 2448-2460 (2021) - [c137]Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji:
SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation. AAAI 2021: 2020-2028 - [c136]Frank Yu, Mathieu Salzmann, Pascal Fua, Helge Rhodin:
PCLs: Geometry-Aware Neural Reconstruction of 3D Pose With Perspective Crop Layers. CVPR 2021: 9064-9073 - [c135]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CVPR 2021: 13723-13732 - [c134]Fatemeh Sadat Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould:
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking. CVPR 2021: 14329-14339 - [c133]Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann:
Wide-Depth-Range 6D Object Pose Estimation in Space. CVPR 2021: 15870-15879 - [c132]Isinsu Katircioglu, Helge Rhodin, Jörg Spörri, Mathieu Salzmann, Pascal Fua:
Human Detection and Segmentation via Multi-view Consensus. ICCV 2021: 2835-2844 - [c131]Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann:
Progressive Correspondence Pruning by Consensus Learning. ICCV 2021: 6444-6453 - [c130]Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman:
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. ICCV 2021: 10438-10447 - [c129]Sadegh Aliakbarian, Fatemeh Sadat Saleh, Lars Petersson, Stephen Gould, Mathieu Salzmann:
Contextually Plausible and Diverse 3D Human Motion Prediction. ICCV 2021: 11313-11322 - [c128]Wei Mao, Miaomiao Liu, Mathieu Salzmann:
Generating Smooth Pose Sequences for Diverse Human Motion Prediction. ICCV 2021: 13289-13298 - [c127]Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Pascal Fua, Mathieu Salzmann, Matthias Rottmann:
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. NeurIPS Datasets and Benchmarks 2021 - [c126]Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann:
Distilling Image Classifiers in Object Detectors. NeurIPS 2021: 1036-1047 - [c125]Krishna Kanth Nakka, Mathieu Salzmann:
Learning Transferable Adversarial Perturbations. NeurIPS 2021: 13950-13962 - [i116]Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann:
Wide-Depth-Range 6D Object Pose Estimation in Space. CoRR abs/2104.00337 (2021) - [i115]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Robust Differentiable SVD. CoRR abs/2104.03821 (2021) - [i114]Bahar Aydemir, Deblina Bhattacharjee, Seungryong Kim, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
Modeling Object Dissimilarity for Deep Saliency Prediction. CoRR abs/2104.03864 (2021) - [i113]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CoRR abs/2104.05309 (2021) - [i112]Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman:
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. CoRR abs/2104.06950 (2021) - [i111]Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Mathieu Salzmann, Pascal Fua, Matthias Rottmann:
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. CoRR abs/2104.14812 (2021) - [i110]Samuel von Baußnern, Johannes Otterbach, Adrian Loy, Mathieu Salzmann, Thomas Wollmann:
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows. CoRR abs/2105.14638 (2021) - [i109]Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann:
Distilling Image Classifiers in Object Detectors. CoRR abs/2106.05209 (2021) - [i108]Vidit Vidit, Mathieu Salzmann:
Attention-based Domain Adaptation for Single Stage Detectors. CoRR abs/2106.07283 (2021) - [i107]Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li:
Multi-level Motion Attention for Human Motion Prediction. CoRR abs/2106.09300 (2021) - [i106]Wei Mao, Miaomiao Liu, Mathieu Salzmann:
Generating Smooth Pose Sequences for Diverse Human Motion Prediction. CoRR abs/2108.08422 (2021) - [i105]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. CoRR abs/2110.01154 (2021) - [i104]Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk:
Estimating Image Depth in the Comics Domain. CoRR abs/2110.03575 (2021) - [i103]Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua:
Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases. CoRR abs/2111.06838 (2021) - [i102]Zheng Dang, Lizhou Wang, Junning Qiu, Minglei Lu, Mathieu Salzmann:
What Stops Learning-based 3D Registration from Working in the Real World? CoRR abs/2111.10399 (2021) - [i101]Isinsu Katircioglu, Costa Georgantas, Mathieu Salzmann, Pascal Fua:
Dyadic Human Motion Prediction. CoRR abs/2112.00396 (2021) - [i100]Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua:
Adversarial Parametric Pose Prior. CoRR abs/2112.04203 (2021) - [i99]Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk:
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training. CoRR abs/2112.07324 (2021) - 2020
- [j18]Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua:
Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures. Medical Image Anal. 60 (2020) - [j17]Róger Bermúdez-Chacón, Okan Altingövde, Carlos J. Becker, Mathieu Salzmann, Pascal Fua:
Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images. IEEE Trans. Medical Imaging 39(4): 1256-1267 (2020) - [c124]Zhantao Deng, Jan Bednarík, Mathieu Salzmann, Pascal Fua:
Better Patch Stitching for Parametric Surface Reconstruction. 3DV 2020: 593-602 - [c123]Krishna Kanth Nakka, Mathieu Salzmann:
Towards Robust Fine-Grained Recognition by Maximal Separation of Discriminative Features. ACCV (6) 2020: 391-408 - [c122]Tim Lebailly, Sena Kiciroglu, Mathieu Salzmann, Pascal Fua, Wei Wang:
Motion Prediction Using Temporal Inception Module. ACCV (2) 2020: 651-665 - [c121]Sena Kiciroglu, Helge Rhodin, Sudipta N. Sinha, Mathieu Salzmann, Pascal Fua:
ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture. CVPR 2020: 100-109 - [c120]Shaifali Parashar, Mathieu Salzmann, Pascal Fua:
Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings. CVPR 2020: 2056-2064 - [c119]Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann:
Single-Stage 6D Object Pose Estimation. CVPR 2020: 2927-2936 - [c118]Jan Bednarík, Shaifali Parashar, Erhan Gündogdu, Mathieu Salzmann, Pascal Fua:
Shape Reconstruction by Learning Differentiable Surface Representations. CVPR 2020: 4715-4724 - [c117]Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, Mathieu Salzmann:
DUNIT: Detection-Based Unsupervised Image-to-Image Translation. CVPR 2020: 4786-4795 - [c116]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould:
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction. CVPR 2020: 5222-5231 - [c115]Wei Mao, Miaomiao Liu, Mathieu Salzmann:
History Repeats Itself: Human Motion Prediction via Motion Attention. ECCV (14) 2020: 474-489 - [c114]Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann:
Volumetric Transformer Networks. ECCV (28) 2020: 561-578 - [c113]Krishna Kanth Nakka, Mathieu Salzmann:
Indirect Local Attacks for Context-Aware Semantic Segmentation Networks. ECCV (5) 2020: 611-628 - [c112]Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Estimating People Flows to Better Count Them in Crowded Scenes. ECCV (15) 2020: 723-740 - [c111]Róger Bermúdez-Chacón, Mathieu Salzmann, Pascal Fua:
Domain Adaptive Multibranch Networks. ICLR 2020 - [c110]Kaicheng Yu, Christian Sciuto, Martin Jaggi, Claudiu Musat, Mathieu Salzmann:
Evaluating The Search Phase of Neural Architecture Search. ICLR 2020 - [c109]Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann:
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks. NeurIPS 2020 - [c108]Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk:
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them. NeurIPS 2020 - [i98]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS. CoRR abs/2003.04276 (2020) - [i97]Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Stephen Gould:
ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking. CoRR abs/2004.07482 (2020) - [i96]Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann:
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. CoRR abs/2004.07931 (2020) - [i95]Zheng Dang, Fei Wang, Mathieu Salzmann:
Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration. CoRR abs/2006.04523 (2020) - [i94]Krishna Kanth Nakka, Mathieu Salzmann:
Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features. CoRR abs/2006.06028 (2020) - [i93]Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk:
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them. CoRR abs/2006.08403 (2020) - [i92]Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann:
Volumetric Transformer Networks. CoRR abs/2007.09433 (2020) - [i91]Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua:
GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss. CoRR abs/2007.10867 (2020) - [i90]Wei Mao, Miaomiao Liu, Mathieu Salzmann:
History Repeats Itself: Human Motion Prediction via Motion Attention. CoRR abs/2007.11755 (2020) - [i89]Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji:
Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations. CoRR abs/2008.08391 (2020) - [i88]Tim Lebailly, Sena Kiciroglu, Mathieu Salzmann, Pascal Fua, Wei Wang:
Motion Prediction Using Temporal Inception Module. CoRR abs/2010.03006 (2020) - [i87]Zhantao Deng, Jan Bednarík, Mathieu Salzmann, Pascal Fua:
Better Patch Stitching for Parametric Surface Reconstruction. CoRR abs/2010.07021 (2020) - [i86]Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua:
Self-supervised Segmentation via Background Inpainting. CoRR abs/2011.05626 (2020) - [i85]Zheng Dang, Fei Wang, Mathieu Salzmann:
3D Registration for Self-Occluded Objects in Context. CoRR abs/2011.11260 (2020) - [i84]Shaifali Parashar, Yuxuan Long, Mathieu Salzmann, Pascal Fua:
A Closed-Form Solution to Local Non-Rigid Structure-from-Motion. CoRR abs/2011.11567 (2020) - [i83]Frank Yu, Mathieu Salzmann, Pascal Fua, Helge Rhodin:
PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers. CoRR abs/2011.13607 (2020) - [i82]Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Counting People by Estimating People Flows. CoRR abs/2012.00452 (2020) - [i81]Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, Pascal Fua:
Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation. CoRR abs/2012.01511 (2020) - [i80]Fatemeh Sadat Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould:
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking. CoRR abs/2012.02337 (2020) - [i79]Sena Kiciroglu, Wei Wang, Mathieu Salzmann, Pascal Fua:
Long Term Motion Prediction Using Keyposes. CoRR abs/2012.04731 (2020) - [i78]