Salzmann, Mathieu

161 publications

TMLR 2025 Adaptive Multi-Step Refinement Network for Robust Point Cloud Registration Zhi Chen, Yufan Ren, Tong Zhang, Zheng Dang, Wenbing Tao, Sabine Susstrunk, Mathieu Salzmann

ICML 2025 Demystifying Singular Defects in Large Language Models Haoqi Wang, Tong Zhang, Mathieu Salzmann

ICLR 2025 Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann

AAAI 2025 Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera Haixin Shi, Yinlin Hu, Daniel Koguciuk, Juan-Ting Lin, Mathieu Salzmann, David Ferstl

CVPR 2025 GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control 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

ECML-PKDD 2025 Leveraging Gradient Information for Out-of-Domain Performance Estimations Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon, Xi Wang, Mathieu Salzmann

CVPR 2025 MotionMap: Representing Multimodality in Human Pose Forecasting Reyhaneh Hosseininejad, Megh Shukla, Saeed Saadatnejad, Mathieu Salzmann, Alexandre Alahi

ICML 2025 QT-DoG: Quantization-Aware Training for Domain Generalization Saqib Javed, Hieu Le, Mathieu Salzmann

ICCV 2025 Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis Chen Zhao, Xuan Wang, Tong Zhang, Saqib Javed, Mathieu Salzmann

ICLR 2025 Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression Megh Shukla, Aziz Shameem, Mathieu Salzmann, Alexandre Alahi

ECCV 2024 3D Single-Object Tracking in Point Clouds with High Temporal Variation Qiao Wu, Kun Sun, Pei An, Mathieu Salzmann, Yanning Zhang, Jiaqi Yang

ICLR 2024 3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation Chen Zhao, Tong Zhang, Mathieu Salzmann

CVPR 2024 CLOAF: CoLlisiOn-Aware Human Flow Andrey Davydov, Martin Engilberge, Mathieu Salzmann, Pascal Fua

TMLR 2024 Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density Shuangqi Li, Chen Liu, Tong Zhang, Hieu Le, Sabine Susstrunk, Mathieu Salzmann

TMLR 2024 DSI2I: Dense Style for Unpaired Exemplar-Based Image-to- Image Translation Baran Ozaydin, Tong Zhang, Sabine Susstrunk, Mathieu Salzmann

CVPR 2024 DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann

ECCV 2024 Data Augmentation via Latent Diffusion for Saliency Prediction Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk

NeurIPS 2024 Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts Zhitong Gao, Bingnan Li, Mathieu Salzmann, Xuming He

CVPR 2024 GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence Van Nguyen Nguyen, Thibault Groueix, Mathieu Salzmann, Vincent Lepetit

CVPR 2024 HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis

ICLR 2024 Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning Congpei Qiu, Tong Zhang, Yanhao Wu, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk

CVPR 2024 Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning Through Object Exchange Yanhao Wu, Tong Zhang, Wei Ke, Congpei Qiu, Sabine Süsstrunk, Mathieu Salzmann

TMLR 2024 Modular Quantization-Aware Training for 6d Object Pose Estimation Saqib Javed, Chengkun Li, Andrew Lawrence Price, Yinlin Hu, Mathieu Salzmann

CVPR 2024 NOPE: Novel Object Pose Estimation from a Single Image Van Nguyen Nguyen, Thibault Groueix, Georgy Ponimatkin, Yinlin Hu, Renaud Marlet, Mathieu Salzmann, Vincent Lepetit

ICLR 2024 Neural SDF Flow for 3D Reconstruction of Dynamic Scenes Wei Mao, Richard Hartley, Mathieu Salzmann, Miaomiao Liu

JMLR 2024 On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk

ECCV 2024 SINDER: Repairing the Singular Defects of DINOv2 Haoqi Wang, Tong Zhang, Mathieu Salzmann

ECCV 2024 Source-Free Domain-Invariant Performance Prediction Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon, Xi Wang, Mathieu Salzmann

ICML 2024 TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression Megh Shukla, Mathieu Salzmann, Alexandre Alahi

ECCVW 2024 Unlocking Comics: The AI4VA Dataset for Visual Understanding Peter Grönquist, Deblina Bhattacharjee, Bahar Aydemir, Baran Ozaydin, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk

TMLR 2024 Using Motion Cues to Supervise Single-Frame Body Pose & Shape Estimation in Low Data Regimes Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua

ICCV 2023 AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration Zheng Dang, Mathieu Salzmann

CVPR 2023 CLIP the Gap: A Single Domain Generalization Approach for Object Detection Vidit Vidit, Martin Engilberge, Mathieu Salzmann

WACV 2023 Center-Aware Adversarial Augmentation for Single Domain Generalization Tianle Chen, Mahsa Baktashmotlagh, Zijian Wang, Mathieu Salzmann

ICCV 2023 Center-Based Decoupled Point-Cloud Registration for 6d Object Pose Estimation Haobo Jiang, Zheng Dang, Shuo Gu, Jin Xie, Mathieu Salzmann, Jian Yang

CVPRW 2023 Dense Multitask Learning to Reconfigure Comics Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann

CVPR 2023 DrapeNet: Garment Generation and Self-Supervised Draping Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua

CVPR 2023 Knowledge Distillation for 6d Pose Estimation by Aligning Distributions of Local Predictions Shuxuan Guo, Yinlin Hu, Jose M. Alvarez, Mathieu Salzmann

CVPR 2023 Learning Transformations to Reduce the Geometric Shift in Object Detection Vidit Vidit, Martin Engilberge, Mathieu Salzmann

ICCV 2023 Linear-Covariance Loss for End-to-End Learning of 6d Pose Estimation Fulin Liu, Yinlin Hu, Mathieu Salzmann

ICCV 2023 MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency Qiao Wu, Jiaqi Yang, Kun Sun, Chu'ai Zhang, Yanning Zhang, Mathieu Salzmann

CVPR 2023 Rigidity-Aware Detection for 6d Object Pose Estimation Yang Hai, Rui Song, Jiaojiao Li, Mathieu Salzmann, Yinlin Hu

CVPR 2023 Robust Outlier Rejection for 3D Registration with Variational Bayes Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann

NeurIPS 2023 SE(3) Diffusion Model-Based Point Cloud Registration for Robust 6d Object Pose Estimation Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang

CVPR 2023 Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann

CVPR 2023 TempSAL - Uncovering Temporal Information for Deep Saliency Prediction Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk

ICML 2023 Towards Stable and Efficient Adversarial Training Against $l_1$ Bounded Adversarial Attacks Yulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Susstrunk

ICCV 2023 Vision Transformer Adapters for Generalizable Multitask Learning Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann

CVPR 2022 Adversarial Parametric Pose Prior Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua

NeurIPS 2022 Contact-Aware Human Motion Forecasting Wei Mao, Miaomiao Liu, Richard I Hartley, Mathieu Salzmann

WACV 2022 Estimating Image Depth in the Comics Domain Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk

ECCV 2022 Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects Chen Zhao, Yinlin Hu, Mathieu Salzmann

WACV 2022 Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift Mahsa Baktashmotlagh, Tianle Chen, Mathieu Salzmann

ECCV 2022 Learning-Based Point Cloud Registration for 6d Object Pose Estimation in the Real World Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann

CVPR 2022 Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann

TMLR 2022 Modeling Object Dissimilarity for Deep Saliency Prediction Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Seungryong Kim, Mathieu Salzmann, Sabine Süsstrunk

CVPR 2022 MulT: An End-to-End Multitask Learning Transformer Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann

ECCV 2022 Perspective Flow Aggregation for Data-Limited 6d Object Pose Estimation Yinlin Hu, Pascal Fua, Mathieu Salzmann

NeurIPS 2022 Robust Binary Models by Pruning Randomly-Initialized Networks Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann

CVPR 2022 Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions Van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, Vincent Lepetit

ECCVW 2022 Universal, Transferable Adversarial Perturbations for Visual Object Trackers Krishna Kanth Nakka, Mathieu Salzmann

CVPR 2022 Weakly-Supervised Action Transition Learning for Stochastic Human Motion Prediction Wei Mao, Miaomiao Liu, Mathieu Salzmann

ICCV 2021 Contextually Plausible and Diverse 3D Human Motion Prediction Sadegh Aliakbarian, Fatemeh Saleh, Lars Petersson, Stephen Gould, Mathieu Salzmann

NeurIPS 2021 Distilling Image Classifiers in Object Detectors Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann

ICCV 2021 Generating Smooth Pose Sequences for Diverse Human Motion Prediction Wei Mao, Miaomiao Liu, Mathieu Salzmann

ICCV 2021 Human Detection and Segmentation via Multi-View Consensus Isinsu Katircioglu, Helge Rhodin, Jörg Spörri, Mathieu Salzmann, Pascal Fua

CVPR 2021 Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search Kaicheng Yu, Rene Ranftl, Mathieu Salzmann

NeurIPS 2021 Learning Transferable Adversarial Perturbations Krishna kanth Nakka, Mathieu Salzmann

CVPR 2021 PCLs: Geometry-Aware Neural Reconstruction of 3D Pose with Perspective Crop Layers Frank Yu, Mathieu Salzmann, Pascal Fua, Helge Rhodin

CVPR 2021 Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking Fatemeh Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould

ICCV 2021 Progressive Correspondence Pruning by Consensus Learning Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann

AAAI 2021 SD-Pose: Semantic Decomposition for Cross-Domain 6d Object Pose Estimation Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji

ICCV 2021 Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases Jan Bednarik, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman

CVPR 2021 Wide-Depth-Range 6d Object Pose Estimation in Space Yinlin Hu, Sebastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann

ICLR 2020 Domain Adaptive Multibranch Networks Róger Bermúdez-Chacón, Mathieu Salzmann, Pascal Fua

ECCV 2020 Estimating People Flows to Better Count Them in Crowded Scenes Weizhe Liu, Mathieu Salzmann, Pascal Fua

ICLR 2020 Evaluating the Search Phase of Neural Architecture Search Kaicheng Yu, Christian Sciuto, Martin Jaggi, Claudiu Musat, Mathieu Salzmann

NeurIPS 2020 ExpandNets: Linear Over-Parameterization to Train Compact Convolutional Networks Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann

ECCV 2020 History Repeats Itself: Human Motion Prediction via Motion Attention Wei Mao, Miaomiao Liu, Mathieu Salzmann

ECCV 2020 Indirect Local Attacks for Context-Aware Semantic Segmentation Networks Krishna Kanth Nakka, Mathieu Salzmann

NeurIPS 2020 On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk

ECCV 2020 Volumetric Transformer Networks Seungryong Kim, Sabine Ssstrunk, Mathieu Salzmann

NeurIPS 2019 Backpropagation-Friendly Eigendecomposition Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann

ICLR 2019 Learning Factorized Representations for Open-Set Domain Adaptation Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, Mathieu Salzmann

ICML 2019 Overcoming Multi-Model Forgetting Yassine Benyahia, Kaicheng Yu, Kamil Bennani Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat

AAAI 2018 3D Box Proposals from a Single Monocular Image of an Indoor Scene Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu

ECCV 2018 Effective Use of Synthetic Data for Urban Scene Semantic Segmentation Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez

ECCV 2018 Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann

ECCV 2018 Statistically-Motivated Second-Order Pooling Kaicheng Yu, Mathieu Salzmann

ECCV 2018 Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation Helge Rhodin, Mathieu Salzmann, Pascal Fua

CVPR 2017 Boundary-Aware Instance Segmentation Zeeshan Hayder, Xuming He, Mathieu Salzmann

ICCV 2017 Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez

NeurIPS 2017 Compression-Aware Training of Deep Networks Jose M Alvarez, Mathieu Salzmann

NeurIPS 2017 Deep Subspace Clustering Networks Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian Reid

CVPR 2017 Efficient Linear Programming for Dense CRFs Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar

ICCV 2017 Encouraging LSTMs to Anticipate Actions Very Early Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson

CVPR 2017 Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu

ICML 2017 Joint Dimensionality Reduction and Metric Learning: A Geometric Take Mehrtash Harandi, Mathieu Salzmann, Richard Hartley

ICCV 2017 Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation Bugra Tekin, Pablo Marquez-Neila, Mathieu Salzmann, Pascal Fua

ECCV 2016 Building Scene Models by Completing and Hallucinating Depth and Semantics Miaomiao Liu, Xuming He, Mathieu Salzmann

ECCV 2016 Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez

ECCV 2016 Deep Convolutional Neural Networks for Human Embryonic Cell Counting Aisha Khan, Stephen Gould, Mathieu Salzmann

ECCVW 2016 Deep Convolutional Neural Networks for Human Embryonic Cell Counting Aisha Khan, Stephen Gould, Mathieu Salzmann

JMLR 2016 Distribution-Matching Embedding for Visual Domain Adaptation Mahsa Baktashmotlagh, Mehrtash Harandi, Mathieu Salzmann

WACV 2016 Efficient Transductive Semantic Segmentation José M. Álvarez, Mathieu Salzmann, Nick Barnes

NeurIPS 2016 Learning the Number of Neurons in Deep Networks Jose M Alvarez, Mathieu Salzmann

CVPR 2016 Learning to Co-Generate Object Proposals with a Deep Structured Network Zeeshan Hayder, Xuming He, Mathieu Salzmann

CVPR 2016 Memory Efficient Max Flow for Multi-Label Submodular MRFs Thalaiyasingam Ajanthan, Richard Hartley, Mathieu Salzmann

CVPR 2016 Robust Multi-Body Feature Tracker: A Segmentation-Free Approach Pan Ji, Hongdong Li, Mathieu Salzmann, Yiran Zhong

CVPR 2016 Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson

ECCV 2016 Template-Free 3D Reconstruction of Poorly-Textured Nonrigid Surfaces Xuan Wang, Mathieu Salzmann, Fei Wang, Jizhong Zhao

CVPR 2016 When VLAD Met Hilbert Mehrtash Harandi, Mathieu Salzmann, Fatih Porikli

WACV 2015 A Linear Chain Markov Model for Detection and Localization of Cells in Early Stage Embryo Development Aisha Khan, Stephen Gould, Mathieu Salzmann

WACV 2015 A Multi-Modal Graphical Model for Scene Analysis Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson

ICCV 2015 Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs Mehrtash Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh

ICCV 2015 Cutting Edge: Soft Correspondences in Multimodal Scene Parsing Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson

ICCV 2015 Deformable 3D Fusion: From Partial Dynamic 3D Observations to Complete 4D Models Weipeng Xu, Mathieu Salzmann, Yongtian Wang, Yue Liu

CVPR 2015 Indoor Scene Structure Analysis for Single Image Depth Estimation Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu

CVPR 2015 Iteratively Reweighted Graph Cut for Multi-Label MRFs with Non-Convex Priors Thalaiyasingam Ajanthan, Richard Hartley, Mathieu Salzmann, Hongdong Li

CVPR 2015 Riemannian Coding and Dictionary Learning: Kernels to the Rescue Mehrtash Harandi, Mathieu Salzmann

ICCV 2015 Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data Pan Ji, Mathieu Salzmann, Hongdong Li

ICCV 2015 Structural Kernel Learning for Large Scale Multiclass Object Co-Detection Zeeshan Hayder, Xuming He, Mathieu Salzmann

CVPR 2014 Bregman Divergences for Infinite Dimensional Covariance Matrices Mehrtash Harandi, Mathieu Salzmann, Fatih Porikli

WACV 2014 Data-Driven Road Detection José M. Álvarez, Mathieu Salzmann, Nick Barnes

CVPR 2014 Discrete-Continuous Depth Estimation from a Single Image Miaomiao Liu, Mathieu Salzmann, Xuming He

CVPR 2014 Domain Adaptation on the Statistical Manifold Mahsa Baktashmotlagh, Mehrtash T. Harandi, Brian C. Lovell, Mathieu Salzmann

WACV 2014 Efficient Dense Subspace Clustering Pan Ji, Mathieu Salzmann, Hongdong Li

ECCV 2014 Expanding the Family of Grassmannian Kernels: An Embedding Perspective Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard I. Hartley, Hongdong Li

ECCV 2014 From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley

WACV 2014 Large-Scale Semantic Co-Labeling of Image Sets José M. Álvarez, Mathieu Salzmann, Nick Barnes

ECCV 2014 Non-Associative Higher-Order Markov Networks for Point Cloud Classification Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson

ECCV 2014 Nonrigid Surface Registration and Completion from RGBD Images WeiPeng Xu, Mathieu Salzmann, Yongtian Wang, Yue Liu

ECCV 2014 Object Co-Detection via Efficient Inference in a Fully-Connected CRF Zeeshan Hayder, Mathieu Salzmann, Xuming He

CVPR 2014 Optimizing over Radial Kernels on Compact Manifolds Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi

ECCV 2014 Robust Motion Segmentation with Unknown Correspondences Pan Ji, Hongdong Li, Mathieu Salzmann, Yuchao Dai

ICCV 2013 A Framework for Shape Analysis via Hilbert Space Embedding Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi

CVPR 2013 Continuous Inference in Graphical Models with Polynomial Energies Mathieu Salzmann

CVPR 2013 Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi

CVPR 2013 Mirror Surface Reconstruction from a Single Image Miaomiao Liu, Richard Hartley, Mathieu Salzmann

ICML 2013 Non-Linear Stationary Subspace Analysis with Application to Video Classification Mahsa Baktashmotlagh, Mehrtash Harandi, Abbas Bigdeli, Brian Lovell, Mathieu Salzmann

ICCV 2013 Unsupervised Domain Adaptation by Domain Invariant Projection Mahsa Baktashmotlagh, Mehrtash T. Harandi, Brian C. Lovell, Mathieu Salzmann

CVPR 2012 A Constrained Latent Variable Model Aydin Varol, Mathieu Salzmann, Pascal Fua, Raquel Urtasun

AISTATS 2012 A Family of MCMC Methods on Implicitly Defined Manifolds Marcus Brubaker, Mathieu Salzmann, Raquel Urtasun

ECCV 2012 Beyond Feature Points: Structured Prediction for Monocular Non-Rigid 3D Reconstruction Mathieu Salzmann, Raquel Urtasun

ICCV 2011 Learning Cross-Modality Similarity for Multinomial Data Yangqing Jia, Mathieu Salzmann, Trevor Darrell

ICCV 2011 Physically-Based Motion Models for 3D Tracking: A Convex Formulation Mathieu Salzmann, Raquel Urtasun

CVPR 2010 Combining Discriminative and Generative Methods for 3D Deformable Surface and Articulated Pose Reconstruction Mathieu Salzmann, Raquel Urtasun

NeurIPS 2010 Factorized Latent Spaces with Structured Sparsity Yangqing Jia, Mathieu Salzmann, Trevor Darrell

AISTATS 2010 Factorized Orthogonal Latent Spaces Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, Trevor Darrell

NeurIPS 2010 Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation Mathieu Salzmann, Raquel Urtasun

ECCV 2010 Learning to Recognize Objects from Unseen Modalities C. Mario Christoudias, Raquel Urtasun, Mathieu Salzmann, Trevor Darrell

CVPR 2009 Capturing 3D Stretchable Surfaces from Single Images in Closed Form Francesc Moreno-Noguer, Mathieu Salzmann, Vincent Lepetit, Pascal Fua

CVPR 2009 Observable Subspaces for 3D Human Motion Recovery Andrea Fossati, Mathieu Salzmann, Pascal Fua

CVPR 2009 Reconstructing Sharply Folding Surfaces: A Convex Formulation Mathieu Salzmann, Pascal Fua

ICCV 2009 Template-Free Monocular Reconstruction of Deformable Surfaces Aydin Varol, Mathieu Salzmann, Engin Tola, Pascal Fua

CVPR 2008 3D Pose Refinement from Reflections Pascal Lagger, Mathieu Salzmann, Vincent Lepetit, Pascal Fua

ECCV 2008 Closed-Form Solution to Non-Rigid 3D Surface Registration Mathieu Salzmann, Francesc Moreno-Noguer, Vincent Lepetit, Pascal Fua

CVPR 2008 Local Deformation Models for Monocular 3D Shape Recovery Mathieu Salzmann, Raquel Urtasun, Pascal Fua

ICCV 2007 Convex Optimization for Deformable Surface 3-D Tracking Mathieu Salzmann, Richard I. Hartley, Pascal Fua

CVPR 2007 Deformable Surface Tracking Ambiguities Mathieu Salzmann, Vincent Lepetit, Pascal Fua

CVPR 2005 Implicit Surfaces Make for Better Silhouettes Slobodan Ilic, Mathieu Salzmann, Pascal Fua