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- affiliation: Swiss Federal Institute of Technology in Lausanne, Switzerland
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2020 – today
- 2023
[j110]Edith Tretschk, Navami Kairanda
, Mallikarjun B. R., Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik:
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction. Comput. Graph. Forum 42(2): 485-520 (2023)- [j109]Semih Günel, Florian Aymanns, Sina Honari, Pavan Ramdya, Pascal Fua:
Overcoming the Domain Gap in Neural Action Representations. Int. J. Comput. Vis. 131(3): 813-833 (2023) - [j108]Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, Pascal Fua:
Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6415-6427 (2023) - [j107]Doruk Öner, Adélie Garin, Mateusz Kozinski, Kathryn Hess, Pascal Fua:
Persistent Homology With Improved Locality Information for More Effective Delineation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10588-10595 (2023) - [j106]Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann:
Perspective Aware Road Obstacle Detection. IEEE Robotics Autom. Lett. 8(4): 2150-2157 (2023) - [c283]Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua:
DrapeNet: Garment Generation and Self-Supervised Draping. CVPR 2023: 1451-1460 - [c282]Victor M. Batlle, José M. M. Montiel, Pascal Fua, Juan D. Tardós:
LightNeuS: Neural Surface Reconstruction in Endoscopy Using Illumination Decline. MICCAI (10) 2023: 502-512 - [c281]Oscar León Barbed, José M. M. Montiel, Pascal Fua, Ana C. Murillo:
Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy. MICCAI (1) 2023: 583-593 - [c280]Martin Engilberge, Haixin Shi, Zhiye Wang, Pascal Fua:
Two-level Data Augmentation for Calibrated Multi-view Detection. WACV 2023: 128-136 - [c279]Martin Engilberge, Weizhe Liu, Pascal Fua:
Multi-view Tracking Using Weakly Supervised Human Motion Prediction. WACV 2023: 1582-1592 - [i146]Michal J. Tyszkiewicz, Pascal Fua, Eduard Trulls:
GECCO: Geometrically-Conditioned Point Diffusion Models. CoRR abs/2303.05916 (2023) - [i145]Zhen Wei, Pascal Fua, Michael Bauerheim:
Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning. CoRR abs/2305.02116 (2023) - [i144]Ren Li, Benoît Guillard, Pascal Fua:
ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns. CoRR abs/2305.14100 (2023) - [i143]Hieu Le, Nicolas Talabot, Jiancheng Yang, Pascal Fua:
Enforcing Topological Interaction between Implicit Surfaces via Uniform Sampling. CoRR abs/2307.08716 (2023) - [i142]Javier Rodriguez Puigvert, Victor M. Batlle, J. M. M. Montiel, Ruben Martinez-Cantin, Pascal Fua, Juan D. Tardós, Javier Civera:
LightDepth: Single-View Depth Self-Supervision from Illumination Decline. CoRR abs/2308.10525 (2023) - [i141]Victor M. Batlle, José M. M. Montiel, Pascal Fua, Juan D. Tardós:
LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline. CoRR abs/2309.02777 (2023) - [i140]Kangxian Xie, Jiancheng Yang, Donglai Wei, Ziqiao Weng, Pascal Fua:
Efficient Anatomical Labeling of Pulmonary Tree Structures via Implicit Point-Graph Networks. CoRR abs/2309.17329 (2023) - [i139]Ren Li, Corentin Dumery, Benoît Guillard, Pascal Fua:
Garment Recovery with Shape and Deformation Priors. CoRR abs/2311.10356 (2023) - 2022
- [j105]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) - [j104]Doruk Öner, Mateusz Kozinski, Leonardo Citraro, Nathan C. Dadap, Alexandra Georges Konings, Pascal Fua:
Promoting Connectivity of Network-Like Structures by Enforcing Region Separation. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5401-5413 (2022) - [j103]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Robust Differentiable SVD. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5472-5487 (2022) - [j102]Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Counting People by Estimating People Flows. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8151-8166 (2022) - [j101]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) - [j100]Doruk Öner, Mateusz Kozinski, Leonardo Citraro, Pascal Fua:
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate. IEEE Trans. Medical Imaging 41(12): 3675-3685 (2022) - [c278]Soumava Kumar Roy, Leonardo Citraro, Sina Honari, Pascal Fua:
On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation. 3DV 2022: 1-10 - [c277]Sena Kiciroglu, Wei Wang, Mathieu Salzmann, Pascal Fua:
Long Term Motion Prediction Using Keyposes. 3DV 2022: 12-21 - [c276]Subeesh Vasu, Nicolas Talabot, Artem Lukoianov, Pierre Baqué, Jonathan Donier, Pascal Fua:
HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation. 3DV 2022: 617-626 - [c275]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 - [c274]Ren Li, Benoît Guillard, Edoardo Remelli, Pascal Fua:
DIG: Draping Implicit Garment over the Human Body. ACCV (1) 2022: 344-359 - [c273]Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys:
Learning to Align Sequential Actions in the Wild. CVPR 2022: 2171-2181 - [c272]Weizhe Liu, Nikita Durasov, Pascal Fua:
Leveraging Self-Supervision for Cross-Domain Crowd Counting. CVPR 2022: 5331-5342 - [c271]Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua:
Adversarial Parametric Pose Prior. CVPR 2022: 10987-10995 - [c270]Jiancheng Yang, Udaranga Wickramasinghe, Bingbing Ni, Pascal Fua:
ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging. CVPR 2022: 15840-15850 - [c269]Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. ECCV (2) 2022: 89-106 - [c268]Benoît Guillard, Federico Stella, Pascal Fua:
MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks. ECCV (3) 2022: 576-592 - [c267]Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor:
Learning to Simulate Realistic LiDARs. IROS 2022: 8173-8180 - [c266]Udaranga Wickramasinghe, Patrick M. Jensen, Mian Shah, Jiancheng Yang, Pascal Fua:
Weakly Supervised Volumetric Image Segmentation with Deformed Templates. MICCAI (5) 2022: 422-432 - [c265]Jiancheng Yang, Rui Shi, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua:
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. MICCAI (4) 2022: 503-513 - [c264]Doruk Öner, Hussein Osman, Mateusz Kozinski, Pascal Fua:
Enforcing Connectivity of 3D Linear Structures Using Their 2D Projections. MICCAI (5) 2022: 591-601 - [i138]Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. CoRR abs/2203.09836 (2022) - [i137]Soumava Kumar Roy, Leonardo Citraro, Sina Honari, Pascal Fua:
On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation. CoRR abs/2203.15865 (2022) - [i136]Patrick M. Jensen, Udaranga Wickramasinghe, Anders B. Dahl, Pascal Fua, Vedrana Andersen Dahl:
Deep Active Latent Surfaces for Medical Geometries. CoRR abs/2206.10241 (2022) - [i135]Jiancheng Yang, Rui Shi, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua:
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. CoRR abs/2206.15328 (2022) - [i134]Doruk Öner, Hussein Osman, Mateusz Kozinski, Pascal Fua:
Enforcing connectivity of 3D linear structures using their 2D projections. CoRR abs/2207.06832 (2022) - [i133]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) - [i132]Ren Li, Benoît Guillard, Edoardo Remelli, Pascal Fua:
DIG: Draping Implicit Garment over the Human Body. CoRR abs/2209.10845 (2022) - [i131]Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor:
Learning to Simulate Realistic LiDARs. CoRR abs/2209.10986 (2022) - [i130]Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann:
Perspective Aware Road Obstacle Detection. CoRR abs/2210.01779 (2022) - [i129]Martin Engilberge, Haixin Shi, Zhiye Wang, Pascal Fua:
Two-level Data Augmentation for Calibrated Multi-view Detection. CoRR abs/2210.10756 (2022) - [i128]Martin Engilberge, Weizhe Liu, Pascal Fua:
Multi-view Tracking Using Weakly Supervised Human Motion Prediction. CoRR abs/2210.10771 (2022) - [i127]Edith Tretschk, Navami Kairanda, Mallikarjun B. R., Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik:
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction. CoRR abs/2210.15664 (2022) - [i126]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) - [i125]Nikita Durasov, Nik Dorndorf, Pascal Fua:
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference. CoRR abs/2211.11435 (2022) - [i124]Nikita Durasov, Nik Dorndorf, Pascal Fua:
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings. CoRR abs/2211.11546 (2022) - [i123]Sina Honari, Pascal Fua:
Unsupervised 3D Keypoint Estimation with Multi-View Geometry. CoRR abs/2211.12829 (2022) - [i122]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
- [j99]Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls:
Image Matching Across Wide Baselines: From Paper to Practice. Int. J. Comput. Vis. 129(2): 517-547 (2021) - [j98]David Honzátko, Engin Türetken, Siavash Arjomand Bigdeli, L. Andrea Dunbar, Pascal Fua:
Defect segmentation for multi-illumination quality control systems. Mach. Vis. Appl. 32(6): 118 (2021) - [j97]Jiayan Qiu, Xinchao Wang, Pascal Fua, Dacheng Tao:
Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 745-752 (2021) - [j96]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) - [c263]David Honzátko, Engin Türetken, Pascal Fua, L. Andrea Dunbar:
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo. 3DV 2021: 394-402 - [c262]Frank Yu, Mathieu Salzmann, Pascal Fua, Helge Rhodin:
PCLs: Geometry-Aware Neural Reconstruction of 3D Pose With Perspective Crop Layers. CVPR 2021: 9064-9073 - [c261]Udaranga Wickramasinghe, Pascal Fua, Graham Knott:
Deep Active Surface Models. CVPR 2021: 11652-11661 - [c260]Nikita Durasov, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua:
Masksembles for Uncertainty Estimation. CVPR 2021: 13539-13548 - [c259]Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann:
Wide-Depth-Range 6D Object Pose Estimation in Space. CVPR 2021: 15870-15879 - [c258]Isinsu Katircioglu, Helge Rhodin, Jörg Spörri, Mathieu Salzmann, Pascal Fua:
Human Detection and Segmentation via Multi-view Consensus. ICCV 2021: 2835-2844 - [c257]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 - [c256]Benoît Guillard, Edoardo Remelli, Pierre Yvernay, Pascal Fua:
Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches. ICCV 2021: 13003-13012 - [c255]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 - [i121]David Honzátko, Engin Türetken, Pascal Fua, L. Andrea Dunbar:
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo. CoRR abs/2103.12106 (2021) - [i120]Weizhe Liu, Nikita Durasov, Pascal Fua:
Leveraging Self-Supervision for Cross-Domain Crowd Counting. CoRR abs/2103.16291 (2021) - [i119]Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann:
Wide-Depth-Range 6D Object Pose Estimation in Space. CoRR abs/2104.00337 (2021) - [i118]Benoît Guillard, Edoardo Remelli, Pierre Yvernay, Pascal Fua:
Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches. CoRR abs/2104.00482 (2021) - [i117]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Robust Differentiable SVD. CoRR abs/2104.03821 (2021) - [i116]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) - [i115]Weizhe Liu, David Ferstl, Samuel Schulter, Lukas Zebedin, Pascal Fua, Christian Leistner:
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning. CoRR abs/2104.11056 (2021) - [i114]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) - [i113]Udaranga Wickramasinghe, Pascal Fua:
Weakly Supervised Volumetric Image Segmentation with Deformed Templates. CoRR abs/2106.03987 (2021) - [i112]Benoît Guillard, Edoardo Remelli, Artem Lukoianov, Stephan R. Richter, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua:
DeepMesh: Differentiable Iso-Surface Extraction. CoRR abs/2106.11795 (2021) - [i111]Subeesh Vasu, Nicolas Talabot, Artem Lukoianov, Pierre Baqué, Jonathan Donier, Pascal Fua:
HybridSDF: Combining Free Form Shapes and Geometric Primitives for effective Shape Manipulation. CoRR abs/2109.10767 (2021) - [i110]Nikita Durasov, Artem Lukoyanov, Jonathan Donier, Pascal Fua:
DEBOSH: Deep Bayesian Shape Optimization. CoRR abs/2109.13337 (2021) - [i109]Doruk Öner, Adélie Garin, Mateusz Kozinski, Kathryn Hess, Pascal Fua:
Localized Persistent Homologies for more Effective Deep Learning. CoRR abs/2110.06295 (2021) - [i108]Okan Altingövde, Anastasiia Mishchuk, Gulnaz Ganeeva, Emad Oveisi, Cecile Hebert, Pascal Fua:
3D Reconstruction of Curvilinear Structures with Stereo Matching DeepConvolutional Neural Networks. CoRR abs/2110.07766 (2021) - [i107]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) - [i106]Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys:
Learning to Align Sequential Actions in the Wild. CoRR abs/2111.09301 (2021) - [i105]Benoît Guillard, Federico Stella, Pascal Fua:
MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks. CoRR abs/2111.14549 (2021) - [i104]Semih Günel, Florian Aymanns, Sina Honari, Pavan Ramdya, Pascal Fua:
Overcoming the Domain Gap in Contrastive Learning of Neural Action Representations. CoRR abs/2111.14595 (2021) - [i103]Isinsu Katircioglu, Costa Georgantas, Mathieu Salzmann, Pascal Fua:
Dyadic Human Motion Prediction. CoRR abs/2112.00396 (2021) - [i102]Semih Günel, Florian Aymanns, Sina Honari, Pavan Ramdya, Pascal Fua:
Overcoming the Domain Gap in Neural Action Representations. CoRR abs/2112.01176 (2021) - [i101]Doruk Öner, Leonardo Citraro, Mateusz Kozinski, Pascal Fua:
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate. CoRR abs/2112.02781 (2021) - [i100]Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua:
Adversarial Parametric Pose Prior. CoRR abs/2112.04203 (2021) - 2020
- [j95]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) - [j94]Leonardo Citraro, Pablo Márquez-Neila, Stefano Savare, Vivek Jayaram, Charles Dubout, Félix Renaut, Andres Hasfura, Horesh Ben Shitrit, Pascal Fua:
Real-time camera pose estimation for sports fields. Mach. Vis. Appl. 31(3): 16 (2020) - [j93]Agata Mosinska, Mateusz Kozinski, Pascal Fua:
Joint Segmentation and Path Classification of Curvilinear Structures. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1515-1521 (2020) - [j92]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) - [j91]Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Mohamed Elgharib, Pascal Fua, Hans-Peter Seidel, Helge Rhodin, Gerard Pons-Moll, Christian Theobalt:
XNect: real-time multi-person 3D motion capture with a single RGB camera. ACM Trans. Graph. 39(4): 82 (2020) - [c254]Zhantao Deng, Jan Bednarík, Mathieu Salzmann, Pascal Fua:
Better Patch Stitching for Parametric Surface Reconstruction. 3DV 2020: 593-602 - [c253]Tim Lebailly, Sena Kiciroglu, Mathieu Salzmann, Pascal Fua, Wei Wang:
Motion Prediction Using Temporal Inception Module. ACCV (2) 2020: 651-665 - [c252]Sena Kiciroglu, Helge Rhodin, Sudipta N. Sinha, Mathieu Salzmann, Pascal Fua:
ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture. CVPR 2020: 100-109 - [c251]Shaifali Parashar, Mathieu Salzmann, Pascal Fua:
Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings. CVPR 2020: 2056-2064 - [c250]Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann:
Single-Stage 6D Object Pose Estimation. CVPR 2020: 2927-2936 - [c249]Jan Bednarík, Shaifali Parashar, Erhan Gündogdu, Mathieu Salzmann, Pascal Fua:
Shape Reconstruction by Learning Differentiable Surface Representations. CVPR 2020: 4715-4724 - [c248]Edoardo Remelli, Shangchen Han, Sina Honari, Pascal Fua, Robert Wang:
Lightweight Multi-View 3D Pose Estimation Through Camera-Disentangled Representation. CVPR 2020: 6039-6048 - [c247]Siyuan Li, Semih Günel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin:
Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals. CVPR 2020: 13155-13165 - [c246]Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro, Pascal Fua:
TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation. ECCV (27) 2020: 224-240 - [c245]Leonardo Citraro, Mateusz Kozinski, Pascal Fua:
Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images. ECCV (28) 2020: 703-719 - [c244]Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Estimating People Flows to Better Count Them in Crowded Scenes. ECCV (15) 2020: 723-740 - [c243]Róger Bermúdez-Chacón, Mathieu Salzmann, Pascal Fua:
Domain Adaptive Multibranch Networks. ICLR 2020 - [c242]Udaranga Wickramasinghe, Edoardo Remelli, Graham Knott, Pascal Fua:
Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data. MICCAI (4) 2020: 299-308 - [c241]Benoît Guillard, Edoardo Remelli, Pascal Fua:
UCLID-Net: Single View Reconstruction in Object Space. NeurIPS 2020 - [c240]Edoardo Remelli, Artem Lukoianov, Stephan R. Richter, Benoît Guillard, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua:
MeshSDF: Differentiable Iso-Surface Extraction. NeurIPS 2020 - [c239]