Mathieu Salzmann

433 papers A* 118A 17B 5Misc 1Journal 232Unranked 57

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Calibration-Reasoning Framework for Descriptive Speech Quality Assessment. CoRR Elizaveta Kostenok, Mathieu Salzmann, Milos Cernak
2026	J	`jnl`	LoRIF: Low-Rank Influence Functions for Scalable Training Data Attribution. CoRR Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann
2026	J	`jnl`	Pose without Guesses: Generalizable Object Pose Estimation From a Single Reference. Int. J. Comput. Vis. Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann
2026	J	`jnl`	Q-Drift: Quantization-Aware Drift Correction for Diffusion Model Sampling. CoRR Sooyoung Ryu, Mathieu Salzmann, Saqib Javed
2026	J	`jnl`	Subtractive Modulative Network with Learnable Periodic Activations. CoRR Tiou Wang, Zhuoqian Yang, Markus Flierl, Mathieu Salzmann, Sabine Süsstrunk
2025	J	`jnl`	Adaptive Multi-step Refinement Network for Robust Point Cloud Registration. Trans. Mach. Learn. Res. Zhi Chen, Yufan Ren, Tong Zhang, Zheng Dang, Wenbing Tao, Sabine Süsstrunk, Mathieu Salzmann
2025	A*	`conf`	Demystifying Singular Defects in Large Language Models. ICML Haoqi Wang, Tong Zhang, Mathieu Salzmann
2025	J	`jnl`	Demystifying Singular Defects in Large Language Models. CoRR Haoqi Wang, Tong Zhang, Mathieu Salzmann
2025	A*	`conf`	Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds. ICLR Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann
2025	J	`jnl`	FastPose-ViT: A Vision Transformer for Real-Time Spacecraft Pose Estimation. CoRR Pierre Ancey, Andrew Lawrence Price, Saqib Javed, Mathieu Salzmann
2025	A*	`conf`	Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera. AAAI Haixin Shi, Yinlin Hu, Daniel Koguciuk, Juan-Ting Lin, Mathieu Salzmann, David Ferstl
2025	A*	`conf`	GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. CVPR Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Pedro M. B. Rezende, Yasaman Haghighi, David Brüggemann, Isinsu Katircioglu, Lin Zhang, Xiaoran Chen, Suman Saha, Marco Cannici, Elie Aljalbout, Botao Ye, Xi Wang, Aram Davtyan, Mathieu Salzmann, Davide Scaramuzza, Marc Pollefeys, Paolo Favaro, Alexandre Alahi
2025	J	`jnl`	Learning to Weight Parameters for Data Attribution. CoRR Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann
2025	—	`conf`	Leveraging Gradient Information for Out-of-Domain Performance Estimations. ECML/PKDD (6) Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon, Xi Wang, Mathieu Salzmann
2025	A*	`conf`	MotionMap: Representing Multimodality in Human Pose Forecasting. CVPR Reyhaneh HosseiniNejad, Megh Shukla, Saeed Saadatnejad, Mathieu Salzmann, Alexandre Alahi
2025	A*	`conf`	QT-DoG: Quantization-Aware Training for Domain Generalization. ICML Saqib Javed, Hieu Le, Mathieu Salzmann
2025	J	`jnl`	Temporally-Consistent Surface Reconstruction Using Metrically-Consistent Atlases. IEEE Trans. Pattern Anal. Mach. Intell. Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua
2025	A*	`conf`	Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression. ICLR Megh Shukla, Aziz Shameem, Mathieu Salzmann, Alexandre Alahi
2025	J	`jnl`	Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression. CoRR Megh Shukla, Aziz Shameem, Mathieu Salzmann, Alexandre Alahi
2025	J	`jnl`	Weight Space Representation Learning with Neural Fields. CoRR Zhuoqian Yang, Mathieu Salzmann, Sabine Süsstrunk
2024	—	`conf`	3D Single-Object Tracking in Point Clouds with High Temporal Variation. ECCV (7) Qiao Wu, Kun Sun, Pei An, Mathieu Salzmann, Yanning Zhang, Jiaqi Yang
2024	J	`jnl`	3D Single-object Tracking in Point Clouds with High Temporal Variation. CoRR Qiao Wu, Kun Sun, Pei An, Mathieu Salzmann, Yanning Zhang, Jiaqi Yang
2024	A*	`conf`	3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation. ICLR Chen Zhao, Tong Zhang, Mathieu Salzmann
2024	J	`jnl`	6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction. CoRR Théo Gieruc, Marius Kästingschäfer, Sebastian Bernhard, Mathieu Salzmann
2024	J	`jnl`	A Closed-Form, Pairwise Solution to Local Non-Rigid Structure-From-Motion. IEEE Trans. Pattern Anal. Mach. Intell. Shaifali Parashar, Yuxuan Long, Mathieu Salzmann, Pascal Fua
2024	A	`conf`	AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains. BMVC Krzysztof Baron-Lis, Matthias Rottmann, Annika Mütze, Sina Honari, Pascal Fua, Mathieu Salzmann
2024	A*	`conf`	CLOAF: CoLlisiOn-Aware Human Flow. CVPR Andrey Davydov, Martin Engilberge, Mathieu Salzmann, Pascal Fua
2024	J	`jnl`	CLOAF: CoLlisiOn-Aware Human Flow. CoRR Andrey Davydov, Martin Engilberge, Mathieu Salzmann, Pascal Fua
2024	J	`jnl`	Coherent and Multi-modality Image Inpainting via Latent Space Optimization. CoRR Lingzhi Pan, Tong Zhang, Bingyuan Chen, Qi Zhou, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
2024	J	`jnl`	Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density. CoRR Shuangqi Li, Chen Liu, Tong Zhang, Hieu Le, Sabine Süsstrunk, Mathieu Salzmann
2024	J	`jnl`	Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density. Trans. Mach. Learn. Res. Shuangqi Li, Chen Liu, Tong Zhang, Hieu Le, Sabine Süsstrunk, Mathieu Salzmann
2024	J	`jnl`	DSI2I: Dense Style for Unpaired Exemplar-based Image-to- Image Translation. Trans. Mach. Learn. Res. Baran Ozaydin, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann
2024	A*	`conf`	DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses. CVPR Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann
2024	J	`jnl`	DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses. CoRR Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann
2024	—	`conf`	Data Augmentation via Latent Diffusion for Saliency Prediction. ECCV (78) Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk
2024	J	`jnl`	Data Augmentation via Latent Diffusion for Saliency Prediction. CoRR Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk
2024	J	`jnl`	Detecting Road Obstacles by Erasing Them. IEEE Trans. Pattern Anal. Mach. Intell. Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann
2024	J	`jnl`	Diffusion-based Speech Enhancement with Schrödinger Bridge and Symmetric Noise Schedule. CoRR Siyi Wang, Siyi Liu, Andrew Harper, Paul Kendrick, Mathieu Salzmann, Milos Cernak
2024	J	`jnl`	Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds. CoRR Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann
2024	J	`jnl`	Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera. CoRR Haixin Shi, Yinlin Hu, Daniel Koguciuk, Juan-Ting Lin, Mathieu Salzmann, David Ferstl
2024	J	`jnl`	GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. CoRR Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Pedro M. B. Rezende, Yasaman Haghighi, David Brüggemann, Isinsu Katircioglu, Lin Zhang, Xiaoran Chen, Suman Saha, Marco Cannici, Elie Aljalbout, Botao Ye, Xi Wang, Aram Davtyan, Mathieu Salzmann, Davide Scaramuzza, Marc Pollefeys, Paolo Favaro, Alexandre Alahi
2024	A*	`conf`	Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts. NeurIPS Zhitong Gao, Bingnan Li, Mathieu Salzmann, Xuming He
2024	J	`jnl`	Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts. CoRR Zhitong Gao, Bingnan Li, Mathieu Salzmann, Xuming He
2024	A*	`conf`	GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence. CVPR van Nguyen Nguyen, Thibault Groueix, Mathieu Salzmann, Vincent Lepetit
2024	A*	`conf`	HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields. CVPR Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis
2024	J	`jnl`	HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields. CoRR Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis
2024	J	`jnl`	Hybrid diffusion models: combining supervised and generative pretraining for label-efficient fine-tuning of segmentation models. CoRR Bruno Sauvalle, Mathieu Salzmann
2024	A*	`conf`	LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. ACM Multimedia Tang Tao, Longfei Gao, Guangrun Wang, Yixing Lao, Peng Chen, Hengshuang Zhao, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu
2024	—	`conf`	LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation. 3DV Chen Zhao, Yinlin Hu, Mathieu Salzmann
2024	J	`jnl`	Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. IEEE Trans. Pattern Anal. Mach. Intell. Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann
2024	A*	`conf`	Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning. ICLR Congpei Qiu, Tong Zhang, Yanhao Wu, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk
2024	A*	`conf`	Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning Through Object Exchange. CVPR Yanhao Wu, Tong Zhang, Wei Ke, Congpei Qiu, Sabine Süsstrunk, Mathieu Salzmann
2024	J	`jnl`	Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange. CoRR Yanhao Wu, Tong Zhang, Wei Ke, Congpei Qiu, Sabine Süsstrunk, Mathieu Salzmann
2024	J	`jnl`	Modular Quantization-Aware Training for 6D Object Pose Estimation. Trans. Mach. Learn. Res. Saqib Javed, Chengkun Li, Andrew Lawrence Price, Yinlin Hu, Mathieu Salzmann
2024	J	`jnl`	MotionMap: Representing Multimodality in Human Pose Forecasting. CoRR Reyhaneh HosseiniNejad, Megh Shukla, Saeed Saadatnejad, Mathieu Salzmann, Alexandre Alahi
2024	A*	`conf`	NOPE: Novel Object Pose Estimation from a Single Image. CVPR van Nguyen Nguyen, Thibault Groueix, Georgy Ponimatkin, Yinlin Hu, Renaud Marlet, Mathieu Salzmann, Vincent Lepetit
2024	A*	`conf`	Neural SDF Flow for 3D Reconstruction of Dynamic Scenes. ICLR Wei Mao, Richard Hartley, Mathieu Salzmann, Miaomiao Liu
2024	J	`jnl`	OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation. CoRR Baran Ozaydin, Tong Zhang, Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann
2024	J	`jnl`	On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training. J. Mach. Learn. Res. Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk
2024	J	`jnl`	OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction. CoRR Zheng Dang, Jialu Huang, Fei Wang, Mathieu Salzmann
2024	J	`jnl`	QT-DoG: Quantization-aware Training for Domain Generalization. CoRR Saqib Javed, Hieu Le, Mathieu Salzmann
2024	—	`conf`	SINDER: Repairing the Singular Defects of DINOv2. ECCV (7) Haoqi Wang, Tong Zhang, Mathieu Salzmann
2024	J	`jnl`	SINDER: Repairing the Singular Defects of DINOv2. CoRR Haoqi Wang, Tong Zhang, Mathieu Salzmann
2024	J	`jnl`	Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis. CoRR Chen Zhao, Xuan Wang, Tong Zhang, Saqib Javed, Mathieu Salzmann
2024	—	`conf`	Source-Free Domain-Invariant Performance Prediction. ECCV (80) Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon, Xi Wang, Mathieu Salzmann
2024	J	`jnl`	Source-Free Domain-Invariant Performance Prediction. CoRR Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon, Xi Wang, Mathieu Salzmann
2024	A*	`conf`	TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression. ICML Megh Shukla, Mathieu Salzmann, Alexandre Alahi
2024	J	`jnl`	Temporally Compressed 3D Gaussian Splatting for Dynamic Scenes. CoRR Saqib Javed, Ahmad Jarrar Khan, Corentin Dumery, Chen Zhao, Mathieu Salzmann
2024	J	`jnl`	Toward Automatic Typography Analysis: Serif Classification and Font Similarities. J. Data Min. Digit. Humanit. Syed Talal Wasim, Romain Collaud, Lara Défayes, Nicolas Henchoz, Mathieu Salzmann, Delphine Ribes Lemay
2024	—	`conf`	Unlocking Comics: The AI4VA Dataset for Visual Understanding. ECCV Workshops (5) Peter Grönquist, Deblina Bhattacharjee, Bahar Aydemir, Baran Ozaydin, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk
2024	J	`jnl`	Unlocking Comics: The AI4VA Dataset for Visual Understanding. CoRR Peter Grönquist, Deblina Bhattacharjee, Bahar Aydemir, Baran Ozaydin, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk
2024	—	`conf`	Unsupervised 3D Keypoint Discovery with Multi-View Geometry. 3DV Sina Honari, Chen Zhao, Mathieu Salzmann, Pascal Fua
2024	J	`jnl`	Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes. CoRR Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua
2024	J	`jnl`	Using Motion Cues to Supervise Single-frame Body Pose & Shape Estimation in Low Data Regimes. Trans. Mach. Learn. Res. Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua
2023	J	`jnl`	3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation. CoRR Chen Zhao, Tong Zhang, Mathieu Salzmann
2023	A*	`conf`	AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration. ICCV Zheng Dang, Mathieu Salzmann
2023	J	`jnl`	AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration. CoRR Zheng Dang, Mathieu Salzmann
2023	A*	`conf`	CLIP the Gap: A Single Domain Generalization Approach for Object Detection. CVPR Vidit Vidit, Martin Engilberge, Mathieu Salzmann
2023	J	`jnl`	CLIP the Gap: A Single Domain Generalization Approach for Object Detection. CoRR Vidit Vidit, Martin Engilberge, Mathieu Salzmann
2023	A*	`conf`	Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation. ICCV Haobo Jiang, Zheng Dang, Shuo Gu, Jin Xie, Mathieu Salzmann, Jian Yang
2023	A	`conf`	Center-aware Adversarial Augmentation for Single Domain Generalization. WACV Tianle Chen, Mahsa Baktashmotlagh, Zijian Wang, Mathieu Salzmann
2023	J	`jnl`	De-coupling and De-positioning Dense Self-supervised Learning. CoRR Congpei Qiu, Tong Zhang, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk
2023	—	`conf`	Dense Multitask Learning to Reconfigure Comics. CVPR Workshops Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann
2023	J	`jnl`	Dense Multitask Learning to Reconfigure Comics. CoRR Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann
2023	J	`jnl`	DiffusionPCR: Diffusion Models for Robust Multi-Step Point Cloud Registration. CoRR Zhi Chen, Yufan Ren, Tong Zhang, Zheng Dang, Wenbing Tao, Sabine Süsstrunk, Mathieu Salzmann
2023	A*	`conf`	DrapeNet: Garment Generation and Self-Supervised Draping. CVPR Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua
2023	J	`jnl`	Fast Adversarial Training With Adaptive Step Size. IEEE Trans. Image Process. Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang
2023	J	`jnl`	GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence. CoRR van Nguyen Nguyen, Thibault Groueix, Mathieu Salzmann, Vincent Lepetit
2023	A*	`conf`	Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions. CVPR Shuxuan Guo, Yinlin Hu, José M. Álvarez, Mathieu Salzmann
2023	J	`jnl`	Learning Transformations To Reduce the Geometric Shift in Object Detection. CoRR Vidit Vidit, Martin Engilberge, Mathieu Salzmann
2023	A*	`conf`	Learning Transformations to Reduce the Geometric Shift in Object Detection. CVPR Vidit Vidit, Martin Engilberge, Mathieu Salzmann
2023	J	`jnl`	LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. CoRR Tang Tao, Longfei Gao, Guangrun Wang, Peng Chen, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu
2023	A*	`conf`	Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation. ICCV Fulin Liu, Yinlin Hu, Mathieu Salzmann
2023	J	`jnl`	Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation. CoRR Fulin Liu, Yinlin Hu, Mathieu Salzmann
2023	A*	`conf`	MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency. ICCV Qiao Wu, Jiaqi Yang, Kun Sun, Chu'ai Zhang, Yanning Zhang, Mathieu Salzmann
2023	J	`jnl`	MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency. CoRR Qiao Wu, Jiaqi Yang, Kun Sun, Chu'ai Zhang, Yanning Zhang, Mathieu Salzmann
2023	J	`jnl`	Module-Wise Network Quantization for 6D Object Pose Estimation. CoRR Saqib Javed, Andrew Lawrence Price, Yinlin Hu, Mathieu Salzmann
2023	J	`jnl`	NOPE: Novel Object Pose Estimation from a Single Image. CoRR van Nguyen Nguyen, Thibault Groueix, Yinlin Hu, Mathieu Salzmann, Vincent Lepetit
2023	J	`jnl`	Perspective Aware Road Obstacle Detection. IEEE Robotics Autom. Lett. Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann
2023	A*	`conf`	Rigidity-Aware Detection for 6D Object Pose Estimation. CVPR Yang Hai, Rui Song, Jiaojiao Li, Mathieu Salzmann, Yinlin Hu
2023	J	`jnl`	Rigidity-Aware Detection for 6D Object Pose Estimation. CoRR Yang Hai, Rui Song, Jiaojiao Li, Mathieu Salzmann, Yinlin Hu
2023	A*	`conf`	Robust Outlier Rejection for 3D Registration with Variational Bayes. CVPR Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann
2023	J	`jnl`	Robust Outlier Rejection for 3D Registration with Variational Bayes. CoRR Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann
2023	A*	`conf`	SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation. NeurIPS Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang
2023	J	`jnl`	SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation. CoRR Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang
2023	A*	`conf`	Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild. CVPR Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
2023	J	`jnl`	Spatiotemporal Self-supervised Learning for Point Clouds in the Wild. CoRR Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
2023	J	`jnl`	TIC-TAC: A Framework To Learn And Evaluate Your Covariance. CoRR Megh Shukla, Mathieu Salzmann, Alexandre Alahi
2023	A*	`conf`	TempSAL - Uncovering Temporal Information for Deep Saliency Prediction. CVPR Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk
2023	J	`jnl`	TempSAL - Uncovering Temporal Information for Deep Saliency Prediction. CoRR Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk
2023	J	`jnl`	Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, Pascal Fua
2023	A*	`conf`	Towards Stable and Efficient Adversarial Training against l ICML Yulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Süsstrunk
2023	J	`jnl`	Training Provably Robust Models by Polyhedral Envelope Regularization. IEEE Trans. Neural Networks Learn. Syst. Chen Liu, Mathieu Salzmann, Sabine Süsstrunk
2023	J	`jnl`	Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation. CoRR Krishna Kanth Nakka, Mathieu Salzmann
2023	A*	`conf`	Vision Transformer Adapters for Generalizable Multitask Learning. ICCV Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann
2023	J	`jnl`	Vision Transformer Adapters for Generalizable Multitask Learning. CoRR Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann
2022	—	`conf`	3D Pose Based Feedback for Physical Exercises. ACCV (4) Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua
2022	J	`jnl`	3D Pose Based Feedback for Physical Exercises. CoRR Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua
2022	A*	`conf`	Adversarial Parametric Pose Prior. CVPR Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua
2022	J	`jnl`	An Analysis of Super-Net Heuristics in Weight-Sharing NAS. IEEE Trans. Pattern Anal. Mach. Intell. Kaicheng Yu, René Ranftl, Mathieu Salzmann
2022	J	`jnl`	AttEntropy: Segmenting Unknown Objects in Complex Scenes using the Spatial Attention Entropy of Semantic Segmentation Transformers. CoRR Krzysztof Lis, Matthias Rottmann, Sina Honari, Pascal Fua, Mathieu Salzmann
2022	J	`jnl`	Attention-based domain adaptation for single-stage detectors. Mach. Vis. Appl. Vidit Vidit, Mathieu Salzmann
2022	A*	`conf`	Contact-aware Human Motion Forecasting. NeurIPS Wei Mao, Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann
2022	J	`jnl`	Contact-aware Human Motion Forecasting. CoRR Wei Mao, Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann
2022	B	`conf`	Contrastive Class-aware Adaptation for Domain Generalization. ICPR Tianle Chen, Mahsa Baktashmotlagh, Mathieu Salzmann
2022	J	`jnl`	Counting People by Estimating People Flows. IEEE Trans. Pattern Anal. Mach. Intell. Weizhe Liu, Mathieu Salzmann, Pascal Fua
2022	J	`jnl`	DSI2I: Dense Style for Unpaired Image-to-Image Translation. CoRR Baran Ozaydin, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann
2022	J	`jnl`	DrapeNet: Generating Garments and Draping them with Self-Supervision. CoRR Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua
2022	A	`conf`	Estimating Image Depth in the Comics Domain. WACV Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk
2022	J	`jnl`	Fast Adversarial Training with Adaptive Step Size. CoRR Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang
2022	J	`jnl`	Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation. CoRR Chen Zhao, Yinlin Hu, Mathieu Salzmann
2022	—	`conf`	Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects. ECCV (1) Chen Zhao, Yinlin Hu, Mathieu Salzmann
2022	J	`jnl`	Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects. CoRR Chen Zhao, Yinlin Hu, Mathieu Salzmann
2022	J	`jnl`	GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss. IEEE Trans. Pattern Anal. Mach. Intell. Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua
2022	J	`jnl`	Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment. CoRR Shuxuan Guo, Yinlin Hu, José M. Álvarez, Mathieu Salzmann
2022	A	`conf`	Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift. WACV Mahsa Baktashmotlagh, Tianle Chen, Mathieu Salzmann
2022	—	`conf`	Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. ECCV (1) Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann
2022	J	`jnl`	Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World. CoRR Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann
2022	A*	`conf`	Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. CVPR Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
2022	J	`jnl`	Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. CoRR Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
2022	—	`conf`	Long Term Motion Prediction Using Keyposes. 3DV Sena Kiciroglu, Wei Wang, Mathieu Salzmann, Pascal Fua
2022	J	`jnl`	Modeling Object Dissimilarity for Deep Saliency Prediction. Trans. Mach. Learn. Res. Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Seungryong Kim, Mathieu Salzmann, Sabine Süsstrunk
2022	A*	`conf`	MuIT: An End-to-End Multitask Learning Transformer. CVPR Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann
2022	J	`jnl`	MulT: An End-to-End Multitask Learning Transformer. CoRR Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann
2022	J	`jnl`	Perspective Aware Road Obstacle Detection. CoRR Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann
2022	—	`conf`	Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. ECCV (2) Yinlin Hu, Pascal Fua, Mathieu Salzmann
2022	J	`jnl`	Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. CoRR Yinlin Hu, Pascal Fua, Mathieu Salzmann
2022	A*	`conf`	Robust Binary Models by Pruning Randomly-initialized Networks. NeurIPS Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann
2022	J	`jnl`	Robust Binary Models by Pruning Randomly-initialized Networks. CoRR Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann
2022	J	`jnl`	Robust Differentiable SVD. IEEE Trans. Pattern Anal. Mach. Intell. Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
2022	J	`jnl`	Self-Supervised Human Detection and Segmentation via Background Inpainting. IEEE Trans. Pattern Anal. Mach. Intell. Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua
2022	A*	`conf`	Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. CVPR van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, Vincent Lepetit
2022	J	`jnl`	Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. CoRR van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, Vincent Lepetit
2022	—	`conf`	Universal, Transferable Adversarial Perturbations for Visual Object Trackers. ECCV Workshops (1) Krishna Kanth Nakka, Mathieu Salzmann
2022	A*	`conf`	Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction. CVPR Wei Mao, Miaomiao Liu, Mathieu Salzmann
2022	J	`jnl`	Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction. CoRR Wei Mao, Miaomiao Liu, Mathieu Salzmann
2021	J	`jnl`	Adversarial Parametric Pose Prior. CoRR Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua
2021	J	`jnl`	An Analysis of Super-Net Heuristics in Weight-Sharing NAS. CoRR Kaicheng Yu, René Ranftl, Mathieu Salzmann
2021	J	`jnl`	Attention-based Domain Adaptation for Single Stage Detectors. CoRR Vidit Vidit, Mathieu Salzmann
2021	A*	`conf`	Contextually Plausible and Diverse 3D Human Motion Prediction. ICCV Sadegh Aliakbarian, Fatemeh Sadat Saleh, Lars Petersson, Stephen Gould, Mathieu Salzmann
2021	J	`jnl`	DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows. CoRR Samuel von Baußnern, Johannes S. Otterbach, Adrian Loy, Mathieu Salzmann, Thomas Wollmann
2021	A*	`conf`	Distilling Image Classifiers in Object Detectors. NeurIPS Shuxuan Guo, José M. Álvarez, Mathieu Salzmann
2021	J	`jnl`	Distilling Image Classifiers in Object Detectors. CoRR Shuxuan Guo, José M. Álvarez, Mathieu Salzmann
2021	J	`jnl`	Dyadic Human Motion Prediction. CoRR Isinsu Katircioglu, Costa Georgantas, Mathieu Salzmann, Pascal Fua
2021	J	`jnl`	Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. IEEE Trans. Pattern Anal. Mach. Intell. Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2021	J	`jnl`	Estimating Image Depth in the Comics Domain. CoRR Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk
2021	A*	`conf`	Generating Smooth Pose Sequences for Diverse Human Motion Prediction. ICCV Wei Mao, Miaomiao Liu, Mathieu Salzmann
2021	J	`jnl`	Generating Smooth Pose Sequences for Diverse Human Motion Prediction. CoRR Wei Mao, Miaomiao Liu, Mathieu Salzmann
2021	J	`jnl`	Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Siyuan Hao, Wei Wang, Mathieu Salzmann
2021	A*	`conf`	Human Detection and Segmentation via Multi-view Consensus. ICCV Isinsu Katircioglu, Helge Rhodin, Jörg Spörri, Mathieu Salzmann, Pascal Fua
2021	A*	`conf`	Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CVPR Kaicheng Yu, René Ranftl, Mathieu Salzmann
2021	J	`jnl`	Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CoRR Kaicheng Yu, René Ranftl, Mathieu Salzmann
2021	A*	`conf`	Learning Transferable Adversarial Perturbations. NeurIPS Krishna Kanth Nakka, Mathieu Salzmann
2021	J	`jnl`	Modeling Object Dissimilarity for Deep Saliency Prediction. CoRR Bahar Aydemir, Deblina Bhattacharjee, Seungryong Kim, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk
2021	J	`jnl`	Multi-level Motion Attention for Human Motion Prediction. CoRR Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li
2021	J	`jnl`	Multi-level Motion Attention for Human Motion Prediction. Int. J. Comput. Vis. Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li
2021	J	`jnl`	On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training. CoRR Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk
2021	A*	`conf`	PCLs: Geometry-Aware Neural Reconstruction of 3D Pose With Perspective Crop Layers. CVPR Frank Yu, Mathieu Salzmann, Pascal Fua, Helge Rhodin
2021	A*	`conf`	Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking. CVPR Fatemeh Sadat Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould
2021	A*	`conf`	Progressive Correspondence Pruning by Consensus Learning. ICCV Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann
2021	J	`jnl`	Robust Differentiable SVD. CoRR Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
2021	A*	`conf`	SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation. AAAI Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji
2021	—	`conf`	SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. NeurIPS Datasets and Benchmarks Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Pascal Fua, Mathieu Salzmann, Matthias Rottmann
2021	J	`jnl`	SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. CoRR Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Mathieu Salzmann, Pascal Fua, Matthias Rottmann
2021	A*	`conf`	Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. ICCV Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman
2021	J	`jnl`	Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. CoRR Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman
2021	J	`jnl`	Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases. CoRR Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua
2021	J	`jnl`	What Stops Learning-based 3D Registration from Working in the Real World? CoRR Zheng Dang, Lizhou Wang, Junning Qiu, Minglei Lu, Mathieu Salzmann
2021	A*	`conf`	Wide-Depth-Range 6D Object Pose Estimation in Space. CVPR Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann
2021	J	`jnl`	Wide-Depth-Range 6D Object Pose Estimation in Space. CoRR Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann
2020	J	`jnl`	3D Registration for Self-Occluded Objects in Context. CoRR Zheng Dang, Fei Wang, Mathieu Salzmann
2020	J	`jnl`	A Closed-Form Solution to Local Non-Rigid Structure-from-Motion. CoRR Shaifali Parashar, Yuxuan Long, Mathieu Salzmann, Pascal Fua
2020	A*	`conf`	A Stochastic Conditioning Scheme for Diverse Human Motion Prediction. CVPR Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould
2020	A*	`conf`	ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture. CVPR Sena Kiciroglu, Helge Rhodin, Sudipta N. Sinha, Mathieu Salzmann, Pascal Fua
2020	J	`jnl`	ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking. CoRR Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Stephen Gould
2020	—	`conf`	Better Patch Stitching for Parametric Surface Reconstruction. 3DV Zhantao Deng, Jan Bednarík, Mathieu Salzmann, Pascal Fua
2020	J	`jnl`	Better Patch Stitching for Parametric Surface Reconstruction. CoRR Zhantao Deng, Jan Bednarík, Mathieu Salzmann, Pascal Fua
2020	J	`jnl`	Counting People by Estimating People Flows. CoRR Weizhe Liu, Mathieu Salzmann, Pascal Fua
2020	A*	`conf`	DUNIT: Detection-Based Unsupervised Image-to-Image Translation. CVPR Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, Mathieu Salzmann
2020	J	`jnl`	Detecting Road Obstacles by Erasing Them. CoRR Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann
2020	A*	`conf`	Domain Adaptive Multibranch Networks. ICLR Róger Bermúdez-Chacón, Mathieu Salzmann, Pascal Fua
2020	J	`jnl`	Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. CoRR Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2020	—	`conf`	Estimating People Flows to Better Count Them in Crowded Scenes. ECCV (15) Weizhe Liu, Mathieu Salzmann, Pascal Fua
2020	A*	`conf`	Evaluating The Search Phase of Neural Architecture Search. ICLR Kaicheng Yu, Christian Sciuto, Martin Jaggi, Claudiu Musat, Mathieu Salzmann
2020	A*	`conf`	ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks. NeurIPS Shuxuan Guo, José M. Álvarez, Mathieu Salzmann
2020	J	`jnl`	GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss. CoRR Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua
2020	—	`conf`	History Repeats Itself: Human Motion Prediction via Motion Attention. ECCV (14) Wei Mao, Miaomiao Liu, Mathieu Salzmann
2020	J	`jnl`	History Repeats Itself: Human Motion Prediction via Motion Attention. CoRR Wei Mao, Miaomiao Liu, Mathieu Salzmann
2020	J	`jnl`	How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS. CoRR Kaicheng Yu, René Ranftl, Mathieu Salzmann
2020	—	`conf`	Indirect Local Attacks for Context-Aware Semantic Segmentation Networks. ECCV (5) Krishna Kanth Nakka, Mathieu Salzmann
2020	J	`jnl`	Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration. CoRR Zheng Dang, Fei Wang, Mathieu Salzmann
2020	A*	`conf`	Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings. CVPR Shaifali Parashar, Mathieu Salzmann, Pascal Fua
2020	J	`jnl`	Long Term Motion Prediction Using Keyposes. CoRR Sena Kiciroglu, Wei Wang, Mathieu Salzmann, Pascal Fua
2020	—	`conf`	Motion Prediction Using Temporal Inception Module. ACCV (2) Tim Lebailly, Sena Kiciroglu, Mathieu Salzmann, Pascal Fua, Wei Wang
2020	J	`jnl`	Motion Prediction Using Temporal Inception Module. CoRR Tim Lebailly, Sena Kiciroglu, Mathieu Salzmann, Pascal Fua, Wei Wang
2020	A*	`conf`	On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them. NeurIPS Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk
2020	J	`jnl`	On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them. CoRR Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk
2020	J	`jnl`	PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers. CoRR Frank Yu, Mathieu Salzmann, Pascal Fua, Helge Rhodin
2020	J	`jnl`	Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking. CoRR Fatemeh Sadat Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould
2020	J	`jnl`	Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations. CoRR Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji
2020	J	`jnl`	Self-supervised Human Detection and Segmentation via Multi-view Consensus. CoRR Isinsu Katircioglu, Helge Rhodin, Jörg Spörri, Mathieu Salzmann, Pascal Fua
2020	J	`jnl`	Self-supervised Segmentation via Background Inpainting. CoRR Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua
2020	A*	`conf`	Shape Reconstruction by Learning Differentiable Surface Representations. CVPR Jan Bednarík, Shaifali Parashar, Erhan Gündogdu, Mathieu Salzmann, Pascal Fua
2020	A*	`conf`	Single-Stage 6D Object Pose Estimation. CVPR Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann
2020	J	`jnl`	Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers. CoRR Krishna Kanth Nakka, Mathieu Salzmann
2020	—	`conf`	Towards Robust Fine-Grained Recognition by Maximal Separation of Discriminative Features. ACCV (6) Krishna Kanth Nakka, Mathieu Salzmann
2020	J	`jnl`	Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features. CoRR Krishna Kanth Nakka, Mathieu Salzmann
2020	J	`jnl`	Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures. Medical Image Anal. Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua
2020	J	`jnl`	Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction. CoRR Mengshi Qi, Edoardo Remelli, Mathieu Salzmann, Pascal Fua
2020	J	`jnl`	Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation. CoRR Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, Pascal Fua
2020	J	`jnl`	Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images. IEEE Trans. Medical Imaging Róger Bermúdez-Chacón, Okan Altingövde, Carlos J. Becker, Mathieu Salzmann, Pascal Fua
2020	—	`conf`	Volumetric Transformer Networks. ECCV (28) Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann
2020	J	`jnl`	Volumetric Transformer Networks. CoRR Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann
2019	J	`jnl`	ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture. CoRR Sena Kiciroglu, Helge Rhodin, Sudipta N. Sinha, Mathieu Salzmann, Pascal Fua
2019	A*	`conf`	Backpropagation-Friendly Eigendecomposition. NeurIPS Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
2019	J	`jnl`	Backpropagation-Friendly Eigendecomposition. CoRR Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
2019	J	`jnl`	Beyond Sharing Weights for Deep Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Artem Rozantsev, Mathieu Salzmann, Pascal Fua
2019	A*	`conf`	Context-Aware Crowd Counting. CVPR Weizhe Liu, Mathieu Salzmann, Pascal Fua
2019	A*	`conf`	Detecting the Unexpected via Image Resynthesis. ICCV Krzysztof Lis, Krishna Kanth Nakka, Pascal Fua, Mathieu Salzmann
2019	J	`jnl`	Detecting the Unexpected via Image Resynthesis. CoRR Krzysztof Lis, Krishna K. Nakka, Pascal Fua, Mathieu Salzmann
2019	J	`jnl`	Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials. SIAM J. Imaging Sci. Thomas Joy, Alban Desmaison, Thalaiyasingam Ajanthan, Rudy Bunel, Mathieu Salzmann, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar
2019	J	`jnl`	Estimating People Flows to Better Count them in Crowded Scenes. CoRR Weizhe Liu, Mathieu Salzmann, Pascal Fua
2019	J	`jnl`	Evaluating the Search Phase of Neural Architecture Search. CoRR Christian Sciuto, Kaicheng Yu, Martin Jaggi, Claudiu Musat, Mathieu Salzmann
2019	A	`conf`	Field Typing for Improved Recognition on Heterogeneous Handwritten Forms. ICDAR Ciprian Tomoiaga, Paul Feng, Mathieu Salzmann, Patrick Jayet
2019	J	`jnl`	Field typing for improved recognition on heterogeneous handwritten forms. CoRR Ciprian Tomoiaga, Paul Feng, Mathieu Salzmann, Patrick Jayet
2019	A*	`conf`	GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping. ICCV Erhan Gundogdu, Victor Constantin, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua
2019	A	`conf`	Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation. IROS Weizhe Liu, Krzysztof Lis, Mathieu Salzmann, Pascal Fua
2019	J	`jnl`	Indirect Local Attacks for Context-aware Semantic Segmentation Networks. CoRR Krishna Kanth Nakka, Mathieu Salzmann
2019	J	`jnl`	Interpretable BoW Networks for Adversarial Example Detection. CoRR Krishna Kanth Nakka, Mathieu Salzmann
2019	—	`conf`	Learning Factorized Representations for Open-Set Domain Adaptation. ICLR (Poster) Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, Mathieu Salzmann
2019	A*	`conf`	Learning Trajectory Dependencies for Human Motion Prediction. ICCV Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li
2019	J	`jnl`	Learning Trajectory Dependencies for Human Motion Prediction. CoRR Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li
2019	J	`jnl`	Learning Variations in Human Motion via Mix-and-Match Perturbation. CoRR Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould, Amirhossein Habibian
2019	J	`jnl`	Memory Efficient Max Flow for Multi-Label Submodular MRFs. IEEE Trans. Pattern Anal. Mach. Intell. Thalaiyasingam Ajanthan, Richard Hartley, Mathieu Salzmann
2019	A*	`conf`	Neural Scene Decomposition for Multi-Person Motion Capture. CVPR Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua
2019	J	`jnl`	Neural Scene Decomposition for Multi-Person Motion Capture. CoRR Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua
2019	J	`jnl`	On Certifying Robust Models by Polyhedral Envelope. CoRR Chen Liu, Mathieu Salzmann, Sabine Süsstrunk
2019	J	`jnl`	Overcoming Multi-Model Forgetting. CoRR Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat
2019	A*	`conf`	Overcoming Multi-model Forgetting. ICML Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat
2019	A*	`conf`	Recurrent U-Net for Resource-Constrained Segmentation. ICCV Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
2019	J	`jnl`	Recurrent U-Net for Resource-Constrained Segmentation. CoRR Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
2019	J	`jnl`	Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior. CoRR Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould
2019	A*	`conf`	Segmentation-Driven 6D Object Pose Estimation. CVPR Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
2019	J	`jnl`	Self-supervised Training of Proposal-based Segmentation via Background Prediction. CoRR Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua
2019	J	`jnl`	Shape Reconstruction by Learning Differentiable Surface Representations. CoRR Jan Bednarík, Shaifali Parashar, Erhan Gundogdu, Mathieu Salzmann, Pascal Fua
2019	J	`jnl`	Single-Stage 6D Object Pose Estimation. CoRR Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann
2019	J	`jnl`	Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting. CoRR Weizhe Liu, Mathieu Salzmann, Pascal Fua
2018	A*	`conf`	3D Box Proposals From a Single Monocular Image of an Indoor Scene. AAAI Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu
2018	—	`conf`	A domain-adaptive two-stream U-Net for electron microscopy image segmentation. ISBI Róger Bermúdez-Chacón, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua
2018	J	`jnl`	Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation. CoRR Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
2018	J	`jnl`	Context-Aware Crowd Counting. CoRR Weizhe Liu, Mathieu Salzmann, Pascal Fua
2018	A	`conf`	Deep Attentional Structured Representation Learning for Visual Recognition. BMVC Krishna Kanth Nakka, Mathieu Salzmann
2018	J	`jnl`	Deep Attentional Structured Representation Learning for Visual Recognition. CoRR Krishna Kanth Nakka, Mathieu Salzmann
2018	J	`jnl`	Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods. IEEE Trans. Pattern Anal. Mach. Intell. Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley
2018	—	`conf`	Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. ECCV (2) Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez
2018	J	`jnl`	Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. CoRR Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez
2018	J	`jnl`	Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials. CoRR Thomas Joy, Alban Desmaison, Thalaiyasingam Ajanthan, Rudy Bunel, Mathieu Salzmann, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar
2018	—	`conf`	Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses. ECCV (5) Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2018	J	`jnl`	Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses. CoRR Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2018	J	`jnl`	ExpandNets: Exploiting Linear Redundancy to Train Small Networks. CoRR Shuxuan Guo, José M. Álvarez, Mathieu Salzmann
2018	J	`jnl`	GarNet: A Two-stream Network for Fast and Accurate 3D Cloth Draping. CoRR Erhan Gundogdu, Victor Constantin, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua
2018	J	`jnl`	Geometric and Physical Constraints for Head Plane Crowd Density Estimation in Videos. CoRR Weizhe Liu, Krzysztof Lis, Mathieu Salzmann, Pascal Fua
2018	A*	`conf`	Geometry-Aware Deep Network for Single-Image Novel View Synthesis. CVPR Miaomiao Liu, Xuming He, Mathieu Salzmann
2018	J	`jnl`	Geometry-aware Deep Network for Single-Image Novel View Synthesis. CoRR Miaomiao Liu, Xuming He, Mathieu Salzmann
2018	J	`jnl`	Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould
2018	J	`jnl`	Learning Factorized Representations for Open-set Domain Adaptation. CoRR Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, Mathieu Salzmann
2018	J	`jnl`	Learning Latent Representations of 3D Human Pose with Deep Neural Networks. Int. J. Comput. Vis. Isinsu Katircioglu, Bugra Tekin, Mathieu Salzmann, Vincent Lepetit, Pascal Fua
2018	A*	`conf`	Learning Monocular 3D Human Pose Estimation From Multi-View Images. CVPR Helge Rhodin, Jörg Spörri, Isinsu Katircioglu, Victor Constantin, Frédéric Meyer, Erich Müller, Mathieu Salzmann, Pascal Fua
2018	J	`jnl`	Learning Monocular 3D Human Pose Estimation from Multi-view Images. CoRR Helge Rhodin, Jörg Spörri, Isinsu Katircioglu, Victor Constantin, Frédéric Meyer, Erich Müller, Mathieu Salzmann, Pascal Fua
2018	J	`jnl`	Learning Shape-from-Shading for Deformable Surfaces. CoRR Jan Bednarík, Pascal Fua, Mathieu Salzmann
2018	A*	`conf`	Learning to Find Good Correspondences. CVPR Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua
2018	—	`conf`	Learning to Reconstruct Texture-Less Deformable Surfaces from a Single View. 3DV Jan Bednarík, Pascal Fua, Mathieu Salzmann
2018	—	`conf`	Learning to Segment 3D Linear Structures Using Only 2D Annotations. MICCAI (2) Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua
2018	A*	`conf`	Residual Parameter Transfer for Deep Domain Adaptation. CVPR Artem Rozantsev, Mathieu Salzmann, Pascal Fua
2018	J	`jnl`	Segmentation-driven 6D Object Pose Estimation. CoRR Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
2018	J	`jnl`	Statistically Motivated Second Order Pooling. CoRR Kaicheng Yu, Mathieu Salzmann
2018	—	`conf`	Statistically-Motivated Second-Order Pooling. ECCV (7) Kaicheng Yu, Mathieu Salzmann
2018	J	`jnl`	Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation. CoRR Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua
2018	—	`conf`	Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation. ECCV (10) Helge Rhodin, Mathieu Salzmann, Pascal Fua
2018	J	`jnl`	Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation. CoRR Helge Rhodin, Mathieu Salzmann, Pascal Fua
2018	—	`conf`	VIENA ^2 : A Driving Anticipation Dataset. ACCV (1) Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson
2018	J	`jnl`	VIENA2: A Driving Anticipation Dataset. CoRR Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson
2017	A*	`conf`	Boundary-Aware Instance Segmentation. CVPR Zeeshan Hayder, Xuming He, Mathieu Salzmann
2017	A*	`conf`	Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation. ICCV Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez
2017	J	`jnl`	Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation. CoRR Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez
2017	—	`conf`	Compression-aware Training of Deep Networks. NIPS José M. Álvarez, Mathieu Salzmann
2017	J	`jnl`	Compression-aware Training of Deep Networks. CoRR José M. Álvarez, Mathieu Salzmann
2017	—	`conf`	Deep Subspace Clustering Networks. NIPS Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian D. Reid
2017	J	`jnl`	Deep Subspace Clustering Networks. CoRR Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian D. Reid
2017	A*	`conf`	Efficient Linear Programming for Dense CRFs. CVPR Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar
2017	—	`conf`	Efficient Model-Free Anthropometry from Depth Data. 3DV Thomas Probst, Andrea Fossati, Mathieu Salzmann, Luc Van Gool
2017	A*	`conf`	Encouraging LSTMs to Anticipate Actions Very Early. ICCV Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson
2017	J	`jnl`	Encouraging LSTMs to Anticipate Actions Very Early. CoRR Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson
2017	J	`jnl`	Imposing Hard Constraints on Deep Networks: Promises and Limitations. CoRR Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua
2017	J	`jnl`	Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation. CoRR Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould
2017	A*	`conf`	Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference. CVPR Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu
2017	A*	`conf`	Joint Dimensionality Reduction and Metric Learning: A Geometric Take. ICML Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley
2017	—	`ch.`	Learning Domain Invariant Embeddings by Matching Distributions. Domain Adaptation in Computer Vision Applications Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Mathieu Salzmann
2017	J	`jnl`	Learning to Find Good Correspondences. CoRR Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua
2017	A*	`conf`	Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation. ICCV Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua
2017	J	`jnl`	Low-Rank Kernel Subspace Clustering. CoRR Pan Ji, Ian D. Reid, Ravi Garg, Hongdong Li, Mathieu Salzmann
2017	J	`jnl`	Memory Efficient Max Flow for Multi-label Submodular MRFs. CoRR Thalaiyasingam Ajanthan, Richard I. Hartley, Mathieu Salzmann
2017	J	`jnl`	Residual Parameter Transfer for Deep Domain Adaptation. CoRR Artem Rozantsev, Mathieu Salzmann, Pascal Fua
2017	J	`jnl`	Second-order Convolutional Neural Networks. CoRR Kaicheng Yu, Mathieu Salzmann
2017	J	`jnl`	Soft Correspondences in Multimodal Scene Parsing. CoRR Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson
2016	J	`jnl`	Beyond Sharing Weights for Deep Domain Adaptation. CoRR Artem Rozantsev, Mathieu Salzmann, Pascal Fua
2016	—	`conf`	Building Scene Models by Completing and Hallucinating Depth and Semantics. ECCV (6) Miaomiao Liu, Xuming He, Mathieu Salzmann
2016	—	`conf`	Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. ECCV (8) Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez
2016	J	`jnl`	Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. CoRR Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez
2016	J	`jnl`	Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation. CoRR Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Basura Fernando, Mathieu Salzmann, Lars Petersson, Lars Andersson
2016	—	`conf`	Deep Convolutional Neural Networks for Human Embryonic Cell Counting. ECCV Workshops (1) Aisha Khan, Stephen Gould, Mathieu Salzmann
2016	J	`jnl`	Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods. CoRR Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley
2016	J	`jnl`	Distribution-Matching Embedding for Visual Domain Adaptation. J. Mach. Learn. Res. Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Mathieu Salzmann
2016	J	`jnl`	Efficient Linear Programming for Dense CRFs. CoRR Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar
2016	A	`conf`	Efficient transductive semantic segmentation. WACV José M. Álvarez, Mathieu Salzmann, Nick Barnes
2016	J	`jnl`	Exploiting Large Image Sets for Road Scene Parsing. IEEE Trans. Intell. Transp. Syst. José M. Álvarez, Mathieu Salzmann, Nick Barnes
2016	J	`jnl`	Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation. CoRR Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua
2016	—	`conf`	Learning the Number of Neurons in Deep Networks. NIPS José M. Álvarez, Mathieu Salzmann
2016	J	`jnl`	Learning the Number of Neurons in Deep Networks. CoRR José M. Álvarez, Mathieu Salzmann
2016	A*	`conf`	Learning to Co-Generate Object Proposals with a Deep Structured Network. CVPR Zeeshan Hayder, Xuming He, Mathieu Salzmann
2016	A*	`conf`	Memory Efficient Max Flow for Multi-label Submodular MRFs. CVPR Thalaiyasingam Ajanthan, Richard I. Hartley, Mathieu Salzmann
2016	A*	`conf`	Robust Multi-Body Feature Tracker: A Segmentation-Free Approach. CVPR Pan Ji, Hongdong Li, Mathieu Salzmann, Yiran Zhong
2016	J	`jnl`	Robust Multi-body Feature Tracker: A Segmentation-free Approach. CoRR Pan Ji, Hongdong Li, Mathieu Salzmann, Yiran Zhong
2016	A*	`conf`	Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering. CVPR Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson
2016	—	`conf`	Scalable Unsupervised Domain Adaptation for Electron Microscopy. MICCAI (2) Róger Bermúdez-Chacón, Carlos J. Becker, Mathieu Salzmann, Pascal Fua
2016	—	`conf`	Segmentation of developing human embryo in time-lapse microscopy. ISBI Aisha Khan, Stephen Gould, Mathieu Salzmann
2016	J	`jnl`	Semantic labeling for prosthetic vision. Comput. Vis. Image Underst. Lachlan Horne, José M. Álvarez, Chris McCarthy, Mathieu Salzmann, Nick Barnes
2016	J	`jnl`	Semantic-Aware Depth Super-Resolution in Outdoor Scenes. CoRR Miaomiao Liu, Mathieu Salzmann, Xuming He
2016	J	`jnl`	Shape-aware Instance Segmentation. CoRR Zeeshan Hayder, Xuming He, Mathieu Salzmann
2016	A	`conf`	Structured Prediction of 3D Human Pose with Deep Neural Networks. BMVC Bugra Tekin, Isinsu Katircioglu, Mathieu Salzmann, Vincent Lepetit, Pascal Fua
2016	J	`jnl`	Structured Prediction of 3D Human Pose with Deep Neural Networks. CoRR Bugra Tekin, Isinsu Katircioglu, Mathieu Salzmann, Vincent Lepetit, Pascal Fua
2016	—	`conf`	Template-Free 3D Reconstruction of Poorly-Textured Nonrigid Surfaces. ECCV (7) Xuan Wang, Mathieu Salzmann, Fei Wang, Jizhong Zhao
2016	A*	`conf`	When VLAD Met Hilbert. CVPR Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli
2015	A	`conf`	A Linear Chain Markov Model for Detection and Localization of Cells in Early Stage Embryo Development. WACV Aisha Khan, Stephen Gould, Mathieu Salzmann
2015	A	`conf`	A Multi-modal Graphical Model for Scene Analysis. WACV Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson
2015	—	`conf`	Automated monitoring of human embryonic cells up to the 5-cell stage in time-lapse microscopy images. ISBI Aisha Khan, Stephen Gould, Mathieu Salzmann
2015	A*	`conf`	Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs. ICCV Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh
2015	J	`jnl`	Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs. CoRR Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh
2015	A*	`conf`	Cutting Edge: Soft Correspondences in Multimodal Scene Parsing. ICCV Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson
2015	A*	`conf`	Deformable 3D Fusion: From Partial Dynamic 3D Observations to Complete 4D Models. ICCV Weipeng Xu, Mathieu Salzmann, Yongtian Wang, Yue Liu
2015	—	`conf`	Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development. MLMI Aisha Khan, Stephen Gould, Mathieu Salzmann
2015	B	`conf`	Efficient scene parsing by sampling unary potentials in a fully-connected CRF. Intelligent Vehicles Symposium Lachlan Horne, José M. Álvarez, Mathieu Salzmann, Nick Barnes
2015	A*	`conf`	Indoor scene structure analysis for single image depth estimation. CVPR Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu
2015	A*	`conf`	Iteratively reweighted graph cut for multi-label MRFs with non-convex priors. CVPR Thalaiyasingam Ajanthan, Richard I. Hartley, Mathieu Salzmann, Hongdong Li
2015	J	`jnl`	Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels. IEEE Trans. Pattern Anal. Mach. Intell. Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
2015	J	`jnl`	Mirror Surface Reconstruction from a Single Image. IEEE Trans. Pattern Anal. Mach. Intell. Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann
2015	A*	`conf`	Riemannian coding and dictionary learning: Kernels to the rescue. CVPR Mehrtash Tafazzoli Harandi, Mathieu Salzmann
2015	J	`jnl`	Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering. CoRR Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson
2015	A*	`conf`	Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data. ICCV Pan Ji, Mathieu Salzmann, Hongdong Li
2015	J	`jnl`	Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data. CoRR Pan Ji, Mathieu Salzmann, Hongdong Li
2015	A*	`conf`	Structural Kernel Learning for Large Scale Multiclass Object Co-detection. ICCV Zeeshan Hayder, Xuming He, Mathieu Salzmann
2015	J	`jnl`	Structured Depth Prediction in Challenging Monocular Video Sequences. CoRR Miaomiao Liu, Mathieu Salzmann, Xuming He
2015	J	`jnl`	When VLAD met Hilbert. CoRR Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli
2014	J	`jnl`	A Framework for Shape Analysis via Hilbert Space Embedding. CoRR Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
2014	A*	`conf`	Bregman Divergences for Infinite Dimensional Covariance Matrices. CVPR Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Murat Porikli
2014	J	`jnl`	Bregman Divergences for Infinite Dimensional Covariance Matrices. CoRR Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli
2014	A	`conf`	Data-driven road detection. WACV José M. Álvarez, Mathieu Salzmann, Nick Barnes
2014	A*	`conf`	Discrete-Continuous Depth Estimation from a Single Image. CVPR Miaomiao Liu, Mathieu Salzmann, Xuming He
2014	J	`jnl`	Discriminative Non-Linear Stationary Subspace Analysis for Video Classification. IEEE Trans. Pattern Anal. Mach. Intell. Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann
2014	A*	`conf`	Domain Adaptation on the Statistical Manifold. CVPR Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann
2014	A	`conf`	Efficient dense subspace clustering. WACV Pan Ji, Mathieu Salzmann, Hongdong Li
2014	—	`conf`	Expanding the Family of Grassmannian Kernels: An Embedding Perspective. ECCV (7) Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard I. Hartley, Hongdong Li
2014	J	`jnl`	Expanding the Family of Grassmannian Kernels: An Embedding Perspective. CoRR Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard I. Hartley, Hongdong Li
2014	—	`conf`	From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices. ECCV (2) Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley
2014	J	`jnl`	From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices. CoRR Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley
2014	J	`jnl`	Iteratively Reweighted Graph Cut for Multi-label MRFs with Non-convex Priors. CoRR Thalaiyasingam Ajanthan, Richard I. Hartley, Mathieu Salzmann, Hongdong Li
2014	J	`jnl`	Kernel Coding: General Formulation and Special Cases. CoRR Mehrtash Tafazzoli Harandi, Mathieu Salzmann
2014	J	`jnl`	Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels. CoRR Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
2014	J	`jnl`	Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices. CoRR Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
2014	A	`conf`	Large-scale semantic co-labeling of image sets. WACV José M. Álvarez, Mathieu Salzmann, Nick Barnes
2014	—	`conf`	Non-associative Higher-Order Markov Networks for Point Cloud Classification. ECCV (5) Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson
2014	—	`conf`	Nonrigid Surface Registration and Completion from RGBD Images. ECCV (2) Weipeng Xu, Mathieu Salzmann, Yongtian Wang, Yue Liu
2014	B	`conf`	Null space clustering with applications to motion segmentation and face clustering. ICIP Pan Ji, Yiran Zhong, Hongdong Li, Mathieu Salzmann
2014	—	`conf`	Object Co-detection via Efficient Inference in a Fully-Connected CRF. ECCV (3) Zeeshan Hayder, Mathieu Salzmann, Xuming He
2014	J	`jnl`	Optimizing Over Radial Kernels on Compact Manifolds. CoRR Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
2014	A*	`conf`	Optimizing over Radial Kernels on Compact Manifolds. CVPR Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
2014	—	`conf`	Robust Motion Segmentation with Unknown Correspondences. ECCV (6) Pan Ji, Hongdong Li, Mathieu Salzmann, Yuchao Dai
2013	A*	`conf`	A Framework for Shape Analysis via Hilbert Space Embedding. ICCV Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
2013	Misc	`conf`	Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition. DICTA Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
2013	A*	`conf`	Continuous Inference in Graphical Models with Polynomial Energies. CVPR Mathieu Salzmann
2013	A*	`conf`	Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices. CVPR Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi
2013	B	`conf`	Learning appearance models for road detection. Intelligent Vehicles Symposium José M. Álvarez, Mathieu Salzmann, Nick Barnes
2013	A*	`conf`	Mirror Surface Reconstruction from a Single Image. CVPR Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann
2013	—	`conf`	Non-Linear Stationary Subspace Analysis with Application to Video Classification. ICML (3) Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Abbas Bigdeli, Brian C. Lovell, Mathieu Salzmann
2013	B	`conf`	Real-time keystone correction for hand-held projectors with an RGBD camera. ICIP Weipeng Xu, Yongtian Wang, Yue Liu, Dongdong Weng, Mengwen Tan, Mathieu Salzmann
2013	A*	`conf`	Unsupervised Domain Adaptation by Domain Invariant Projection. ICCV Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann
2012	A	`conf`	A Family of MCMC Methods on Implicitly Defined Manifolds. AISTATS Marcus A. Brubaker, Mathieu Salzmann, Raquel Urtasun
2012	A*	`conf`	A constrained latent variable model. CVPR Aydin Varol, Mathieu Salzmann, Pascal Fua, Raquel Urtasun
2012	—	`conf`	Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction. ECCV (4) Mathieu Salzmann, Raquel Urtasun
2012	J	`jnl`	Monocular 3D Reconstruction of Locally Textured Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. Aydin Varol, Appu Shaji, Mathieu Salzmann, Pascal Fua
2011	A*	`conf`	Learning cross-modality similarity for multinomial data. ICCV Yangqing Jia, Mathieu Salzmann, Trevor Darrell
2011	J	`jnl`	Linear Local Models for Monocular Reconstruction of Deformable Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. Mathieu Salzmann, Pascal Fua
2011	A*	`conf`	Physically-based motion models for 3D tracking: A convex formulation. ICCV Mathieu Salzmann, Raquel Urtasun
2010	A*	`conf`	Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction. CVPR Mathieu Salzmann, Raquel Urtasun
2010	—	`book`	Deformable Surface 3D Reconstruction from Monocular Images Mathieu Salzmann, Pascal Fua
2010	—	`conf`	Factorized Latent Spaces with Structured Sparsity. NIPS Yangqing Jia, Mathieu Salzmann, Trevor Darrell
2010	A	`conf`	Factorized Orthogonal Latent Spaces. AISTATS Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, Trevor Darrell
2010	—	`conf`	Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation. NIPS Mathieu Salzmann, Raquel Urtasun
2010	—	`conf`	Learning to Recognize Objects from Unseen Modalities. ECCV (1) C. Mario Christoudias, Raquel Urtasun, Mathieu Salzmann, Trevor Darrell
2009	A*	`conf`	Capturing 3D stretchable surfaces from single images in closed form. CVPR Francesc Moreno-Noguer, Mathieu Salzmann, Vincent Lepetit, Pascal Fua
2009	—	`—`	Learning and recovering 3D surface deformations. Mathieu Salzmann
2009	A*	`conf`	Observable subspaces for 3D human motion recovery. CVPR Andrea Fossati, Mathieu Salzmann, Pascal Fua
2009	A*	`conf`	Reconstructing sharply folding surfaces: A convex formulation. CVPR Mathieu Salzmann, Pascal Fua
2009	A*	`conf`	Template-free monocular reconstruction of deformable surfaces. ICCV Aydin Varol, Mathieu Salzmann, Engin Tola, Pascal Fua
2008	A*	`conf`	3D pose refinement from reflections. CVPR Pascal Lagger, Mathieu Salzmann, Vincent Lepetit, Pascal Fua
2008	—	`conf`	Closed-Form Solution to Non-rigid 3D Surface Registration. ECCV (4) Mathieu Salzmann, Francesc Moreno-Noguer, Vincent Lepetit, Pascal Fua
2008	A*	`conf`	Local deformation models for monocular 3D shape recovery. CVPR Mathieu Salzmann, Raquel Urtasun, Pascal Fua
2007	A*	`conf`	Convex Optimization for Deformable Surface 3-D Tracking. ICCV Mathieu Salzmann, Richard I. Hartley, Pascal Fua
2007	A*	`conf`	Deformable Surface Tracking Ambiguities. CVPR Mathieu Salzmann, Vincent Lepetit, Pascal Fua
2007	J	`jnl`	Implicit Meshes for Effective Silhouette Handling. Int. J. Comput. Vis. Slobodan Ilic, Mathieu Salzmann, Pascal Fua
2007	J	`jnl`	Surface Deformation Models for Nonrigid 3D Shape Recovery. IEEE Trans. Pattern Anal. Mach. Intell. Mathieu Salzmann, Julien Pilet, Slobodan Ilic, Pascal Fua
2005	—	`conf`	Implicit Surfaces Make for Better Silhouettes. CVPR (1) Slobodan Ilic, Mathieu Salzmann, Pascal Fua
2005	A	`conf`	Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking. BMVC Mathieu Salzmann, Slobodan Ilic, Pascal Fua