Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking. - Mathieu Salzmann; Slobodan Ilic; Pascal Fua (BMVC, 2005)

Implicit Surfaces Make for Better Silhouettes. - Slobodan Ilic; Mathieu Salzmann; Pascal Fua (CVPR (1), 2005)

Deformable Surface Tracking Ambiguities. - Mathieu Salzmann; Vincent Lepetit; Pascal Fua (CVPR, 2007)

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

Implicit Meshes for Effective Silhouette Handling. - Slobodan Ilic; Mathieu Salzmann; Pascal Fua (Int. J. Comput. Vis., 2007)

Surface Deformation Models for Nonrigid 3D Shape Recovery. - Mathieu Salzmann; Julien Pilet; Slobodan Ilic; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

3D pose refinement from reflections. - Pascal Lagger; Mathieu Salzmann; Vincent Lepetit; Pascal Fua (CVPR, 2008)

Local deformation models for monocular 3D shape recovery. - Mathieu Salzmann; Raquel Urtasun; Pascal Fua (CVPR, 2008)

Closed-Form Solution to Non-rigid 3D Surface Registration. - Mathieu Salzmann; Francesc Moreno-Noguer; Vincent Lepetit; Pascal Fua (ECCV (4), 2008)

Observable subspaces for 3D human motion recovery. - Andrea Fossati; Mathieu Salzmann; Pascal Fua (CVPR, 2009)

Capturing 3D stretchable surfaces from single images in closed form. - Francesc Moreno-Noguer; Mathieu Salzmann; Vincent Lepetit; Pascal Fua (CVPR, 2009)

Reconstructing sharply folding surfaces: A convex formulation. - Mathieu Salzmann; Pascal Fua (CVPR, 2009)

Template-free monocular reconstruction of deformable surfaces. - Aydin Varol; Mathieu Salzmann; Engin Tola; Pascal Fua (ICCV, 2009)

Learning and recovering 3D surface deformations. - Mathieu Salzmann (2009)

Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction. - Mathieu Salzmann; Raquel Urtasun (CVPR, 2010)

Learning to Recognize Objects from Unseen Modalities. - C. Mario Christoudias; Raquel Urtasun; Mathieu Salzmann; Trevor Darrell (ECCV (1), 2010)

Factorized Latent Spaces with Structured Sparsity. - Yangqing Jia; Mathieu Salzmann; Trevor Darrell (NIPS, 2010)

Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation. - Mathieu Salzmann; Raquel Urtasun (NIPS, 2010)

Factorized Orthogonal Latent Spaces. - Mathieu Salzmann; Carl Henrik Ek; Raquel Urtasun; Trevor Darrell (AISTATS, 2010)

Deformable Surface 3D Reconstruction from Monocular Images - Mathieu Salzmann; Pascal Fua (Morgan & Claypool Publishers, 2010)

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 (ICCV, 2011)

Linear Local Models for Monocular Reconstruction of Deformable Surfaces. - Mathieu Salzmann; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

A constrained latent variable model. - Aydin Varol; Mathieu Salzmann; Pascal Fua; Raquel Urtasun (CVPR, 2012)

Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction. - Mathieu Salzmann; Raquel Urtasun (ECCV (4), 2012)

A Family of MCMC Methods on Implicitly Defined Manifolds. - Marcus A. Brubaker; Mathieu Salzmann; Raquel Urtasun (AISTATS, 2012)

Monocular 3D Reconstruction of Locally Textured Surfaces. - Aydin Varol; Appu Shaji; Mathieu Salzmann; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices. - Sadeep Jayasumana; Richard I. Hartley; Mathieu Salzmann; Hongdong Li; Mehrtash Tafazzoli Harandi (CVPR, 2013)

Continuous Inference in Graphical Models with Polynomial Energies. - Mathieu Salzmann (CVPR, 2013)

Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition. - Sadeep Jayasumana; Richard I. Hartley; Mathieu Salzmann; Hongdong Li; Mehrtash Tafazzoli Harandi (DICTA, 2013)

Unsupervised Domain Adaptation by Domain Invariant Projection. - Mahsa Baktashmotlagh; Mehrtash Tafazzoli Harandi; Brian C. Lovell; Mathieu Salzmann (ICCV, 2013)

A Framework for Shape Analysis via Hilbert Space Embedding. - Sadeep Jayasumana; Mathieu Salzmann; Hongdong Li; Mehrtash Tafazzoli Harandi (ICCV, 2013)

Real-time keystone correction for hand-held projectors with an RGBD camera. - WeiPeng Xu; Yongtian Wang; Yue Liu 005; Dongdong Weng; Mengwen Tan; Mathieu Salzmann (ICIP, 2013)

Non-Linear Stationary Subspace Analysis with Application to Video Classification. - Mahsa Baktashmotlagh; Mehrtash Tafazzoli Harandi; Abbas Bigdeli; Brian C. Lovell; Mathieu Salzmann (ICML (3), 2013)

Learning appearance models for road detection. - José M. Álvarez 004; Mathieu Salzmann; Nick Barnes (Intelligent Vehicles Symposium, 2013)

Domain Adaptation on the Statistical Manifold. - Mahsa Baktashmotlagh; Mehrtash Tafazzoli Harandi; Brian C. Lovell; Mathieu Salzmann (CVPR, 2014)

Bregman Divergences for Infinite Dimensional Covariance Matrices. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann; Fatih Murat Porikli (CVPR, 2014)

Optimizing over Radial Kernels on Compact Manifolds. - Sadeep Jayasumana; Richard I. Hartley; Mathieu Salzmann; Hongdong Li; Mehrtash Tafazzoli Harandi (CVPR, 2014)

Discrete-Continuous Depth Estimation from a Single Image. - Miaomiao Liu 001; Mathieu Salzmann; Xuming He 001 (CVPR, 2014)

From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann; Richard I. Hartley (ECCV (2), 2014)

Expanding the Family of Grassmannian Kernels: An Embedding Perspective. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann; Sadeep Jayasumana; Richard I. Hartley; Hongdong Li (ECCV (7), 2014)

Object Co-detection via Efficient Inference in a Fully-Connected CRF. - Zeeshan Hayder; Mathieu Salzmann; Xuming He 001 (ECCV (3), 2014)

Robust Motion Segmentation with Unknown Correspondences. - Pan Ji; Hongdong Li; Mathieu Salzmann; Yuchao Dai (ECCV (6), 2014)

Non-associative Higher-Order Markov Networks for Point Cloud Classification. - Mohammad Najafi; Sarah Taghavi Namin; Mathieu Salzmann; Lars Petersson (ECCV (5), 2014)

Nonrigid Surface Registration and Completion from RGBD Images. - WeiPeng Xu; Mathieu Salzmann; Yongtian Wang; Yue Liu 005 (ECCV (2), 2014)

Null space clustering with applications to motion segmentation and face clustering. - Pan Ji; Yiran Zhong; Hongdong Li; Mathieu Salzmann (ICIP, 2014)

Large-scale semantic co-labeling of image sets. - José M. Álvarez 004; Mathieu Salzmann; Nick Barnes (WACV, 2014)

Data-driven road detection. - José M. Álvarez 004; Mathieu Salzmann; Nick Barnes (WACV, 2014)

Efficient dense subspace clustering. - Pan Ji; Mathieu Salzmann; Hongdong Li (WACV, 2014)

Kernel Coding: General Formulation and Special Cases. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann (CoRR, 2014)

Discriminative Non-Linear Stationary Subspace Analysis for Video Classification. - Mahsa Baktashmotlagh; Mehrtash Tafazzoli Harandi; Brian C. Lovell; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Iteratively reweighted graph cut for multi-label MRFs with non-convex priors. - Thalaiyasingam Ajanthan; Richard I. Hartley; Mathieu Salzmann; Hongdong Li (CVPR, 2015)

Riemannian coding and dictionary learning: Kernels to the rescue. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann (CVPR, 2015)

Indoor scene structure analysis for single image depth estimation. - Wei Zhuo 004; Mathieu Salzmann; Xuming He 001; Miaomiao Liu 001 (CVPR, 2015)

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

Structural Kernel Learning for Large Scale Multiclass Object Co-detection. - Zeeshan Hayder; Xuming He 001; 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)

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 005 (ICCV, 2015)

Automated monitoring of human embryonic cells up to the 5-cell stage in time-lapse microscopy images. - Aisha Khan; Stephen Gould; Mathieu Salzmann (ISBI, 2015)

Efficient scene parsing by sampling unary potentials in a fully-connected CRF. - Lachlan Horne; José M. Álvarez 004; Mathieu Salzmann; Nick Barnes (Intelligent Vehicles Symposium, 2015)

Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development. - Aisha Khan; Stephen Gould; Mathieu Salzmann (MLMI, 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 (WACV, 2015)

Structured Depth Prediction in Challenging Monocular Video Sequences. - Miaomiao Liu 001; Mathieu Salzmann; Xuming He 001 (CoRR, 2015)

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels. - Sadeep Jayasumana; Richard I. Hartley; Mathieu Salzmann; Hongdong Li; Mehrtash Tafazzoli Harandi (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Mirror Surface Reconstruction from a Single Image. - Miaomiao Liu 001; Richard I. Hartley; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Structured Prediction of 3D Human Pose with Deep Neural Networks. - Bugra Tekin; Isinsu Katircioglu; Mathieu Salzmann; Vincent Lepetit; Pascal Fua (BMVC, 2016)

When VLAD Met Hilbert. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann; Fatih Porikli (CVPR, 2016)

Learning to Co-Generate Object Proposals with a Deep Structured Network. - Zeeshan Hayder; Xuming He 001; 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 (CVPR, 2016)

Deep Convolutional Neural Networks for Human Embryonic Cell Counting. - Aisha Khan; Stephen Gould; Mathieu Salzmann (ECCV Workshops (1), 2016)

Building Scene Models by Completing and Hallucinating Depth and Semantics. - Miaomiao Liu 001; Xuming He 001; Mathieu Salzmann (ECCV (6), 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 004 (ECCV (8), 2016)

Template-Free 3D Reconstruction of Poorly-Textured Nonrigid Surfaces. - Xuan Wang 009; Mathieu Salzmann; Fei Wang 008; Jizhong Zhao (ECCV (7), 2016)

Segmentation of developing human embryo in time-lapse microscopy. - Aisha Khan; Stephen Gould; Mathieu Salzmann (ISBI, 2016)

Scalable Unsupervised Domain Adaptation for Electron Microscopy. - Róger Bermúdez-Chacón; Carlos J. Becker; Mathieu Salzmann; Pascal Fua (MICCAI (2), 2016)

Learning the Number of Neurons in Deep Networks. - José M. Álvarez 004; Mathieu Salzmann (NIPS, 2016)

Efficient transductive semantic segmentation. - José M. Álvarez 004; Mathieu Salzmann; Nick Barnes (WACV, 2016)

Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation. - Mohammad Sadegh Ali Akbarian; Fatemehsadat Saleh; Basura Fernando; Mathieu Salzmann; Lars Petersson; Lars Andersson (CoRR, 2016)

Shape-aware Instance Segmentation. - Zeeshan Hayder; Xuming He 001; Mathieu Salzmann (CoRR, 2016)

Semantic-Aware Depth Super-Resolution in Outdoor Scenes. - Miaomiao Liu 001; Mathieu Salzmann; Xuming He 001 (CoRR, 2016)

Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation. - Bugra Tekin; Pablo Márquez-Neila; Mathieu Salzmann; Pascal Fua (CoRR, 2016)

Semantic labeling for prosthetic vision. - Lachlan Horne; José M. Álvarez 004; Chris McCarthy; Mathieu Salzmann; Nick Barnes (Comput. Vis. Image Underst., 2016)

Distribution-Matching Embedding for Visual Domain Adaptation. - Mahsa Baktashmotlagh; Mehrtash Tafazzoli Harandi; Mathieu Salzmann (J. Mach. Learn. Res., 2016)

Exploiting Large Image Sets for Road Scene Parsing. - José M. Álvarez 004; Mathieu Salzmann; Nick Barnes (IEEE Trans. Intell. Transp. Syst., 2016)

Efficient Model-Free Anthropometry from Depth Data. - Thomas Probst; Andrea Fossati; Mathieu Salzmann; Luc Van Gool (3DV, 2017)

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

Boundary-Aware Instance Segmentation. - Zeeshan Hayder; Xuming He 001; Mathieu Salzmann (CVPR, 2017)

Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference. - Wei Zhuo 004; Mathieu Salzmann; Xuming He 001; Miaomiao Liu 001 (CVPR, 2017)

Encouraging LSTMs to Anticipate Actions Very Early. - Mohammad Sadegh Ali Akbarian; Fatemehsadat Saleh; Mathieu Salzmann; Basura Fernando; Lars Petersson; Lars Andersson (ICCV, 2017)

Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation. - Fatemehsadat Saleh; Mohammad Sadegh Ali Akbarian; Mathieu Salzmann; Lars Petersson; José M. Álvarez 004 (ICCV, 2017)

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

Joint Dimensionality Reduction and Metric Learning: A Geometric Take. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann; Richard I. Hartley (ICML, 2017)

Compression-aware Training of Deep Networks. - José M. Álvarez 004; Mathieu Salzmann (NIPS, 2017)

Deep Subspace Clustering Networks. - Pan Ji; Tong Zhang 023; Hongdong Li; Mathieu Salzmann; Ian D. Reid 001 (NIPS, 2017)

Low-Rank Kernel Subspace Clustering. - Pan Ji; Ian D. Reid 001; Ravi Garg; Hongdong Li; Mathieu Salzmann (CoRR, 2017)

Imposing Hard Constraints on Deep Networks: Promises and Limitations. - Pablo Márquez-Neila; Mathieu Salzmann; Pascal Fua (CoRR, 2017)

Second-order Convolutional Neural Networks. - Kaicheng Yu; Mathieu Salzmann (CoRR, 2017)

Soft Correspondences in Multimodal Scene Parsing. - Sarah Taghavi Namin; Mohammad Najafi; Mathieu Salzmann; Lars Petersson (CoRR, 2017)

Learning Domain Invariant Embeddings by Matching Distributions. - Mahsa Baktashmotlagh; Mehrtash Tafazzoli Harandi; Mathieu Salzmann (Domain Adaptation in Computer Vision Applications, 2017)

Learning to Reconstruct Texture-Less Deformable Surfaces from a Single View. - Jan Bednarík; Pascal Fua; Mathieu Salzmann (3DV, 2018)

3D Box Proposals From a Single Monocular Image of an Indoor Scene. - Wei Zhuo 004; Mathieu Salzmann; Xuming He 001; Miaomiao Liu 001 (AAAI, 2018)

VIENA ^2 : A Driving Anticipation Dataset. - Mohammad Sadegh Aliakbarian; Fatemeh Sadat Saleh; Mathieu Salzmann; Basura Fernando; Lars Petersson; Lars Andersson (ACCV (1), 2018)

Deep Attentional Structured Representation Learning for Visual Recognition. - Krishna Kanth Nakka; Mathieu Salzmann (BMVC, 2018)

Geometry-Aware Deep Network for Single-Image Novel View Synthesis. - Miaomiao Liu 001; Xuming He 001; Mathieu Salzmann (CVPR, 2018)

Learning Monocular 3D Human Pose Estimation From Multi-View Images. - Helge Rhodin; Jörg Spörri; Isinsu Katircioglu; Victor Constantin; Frédéric Meyer; Erich Müller; Mathieu Salzmann; Pascal Fua (CVPR, 2018)

Residual Parameter Transfer for Deep Domain Adaptation. - Artem Rozantsev; Mathieu Salzmann; Pascal Fua (CVPR, 2018)

Learning to Find Good Correspondences. - Kwang Moo Yi; Eduard Trulls; Yuki Ono; Vincent Lepetit; Mathieu Salzmann; Pascal Fua (CVPR, 2018)

Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses. - Zheng Dang; Kwang Moo Yi; Yinlin Hu; Fei Wang 008; Pascal Fua; Mathieu Salzmann (ECCV (5), 2018)

Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation. - Helge Rhodin; Mathieu Salzmann; Pascal Fua (ECCV (10), 2018)

Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. - Fatemeh Sadat Saleh; Mohammad Sadegh Aliakbarian; Mathieu Salzmann; Lars Petersson; José M. Álvarez 004 (ECCV (2), 2018)

Statistically-Motivated Second-Order Pooling. - Kaicheng Yu; Mathieu Salzmann (ECCV (7), 2018)

A domain-adaptive two-stream U-Net for electron microscopy image segmentation. - Róger Bermúdez-Chacón; Pablo Márquez-Neila; Mathieu Salzmann; Pascal Fua (ISBI, 2018)

Learning to Segment 3D Linear Structures Using Only 2D Annotations. - Mateusz Kozinski; Agata Mosinska; Mathieu Salzmann; Pascal Fua (MICCAI (2), 2018)

Geometric and Physical Constraints for Head Plane Crowd Density Estimation in Videos. - Weizhe Liu; Krzysztof Lis; Mathieu Salzmann; Pascal Fua (CoRR, 2018)

Learning Shape-from-Shading for Deformable Surfaces. - Jan Bednarík; Pascal Fua; Mathieu Salzmann (CoRR, 2018)

VIENA2: A Driving Anticipation Dataset. - Mohammad Sadegh Aliakbarian; Fatemeh Sadat Saleh; Mathieu Salzmann; Basura Fernando; Lars Petersson; Lars Andersson (CoRR, 2018)

ExpandNets: Exploiting Linear Redundancy to Train Small Networks. - Shuxuan Guo; José M. Álvarez 004; Mathieu Salzmann (CoRR, 2018)

Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation. - Mateusz Kozinski; Agata Mosinska; Mathieu Salzmann; Pascal Fua (CoRR, 2018)

Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation. - Wei Wang 108; Kaicheng Yu; Joachim Hugonot; Pascal Fua; Mathieu Salzmann (CoRR, 2018)

Learning Latent Representations of 3D Human Pose with Deep Neural Networks. - Isinsu Katircioglu; Bugra Tekin; Mathieu Salzmann; Vincent Lepetit; Pascal Fua (Int. J. Comput. Vis., 2018)

Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann; Richard I. Hartley (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation. - Fatemehsadat Saleh; Mohammad Sadegh Ali Akbarian; Mathieu Salzmann; Lars Petersson; José M. Álvarez 004; Stephen Gould (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Segmentation-Driven 6D Object Pose Estimation. - Yinlin Hu; Joachim Hugonot; Pascal Fua; Mathieu Salzmann (CVPR, 2019)

Context-Aware Crowd Counting. - Weizhe Liu; Mathieu Salzmann; Pascal Fua (CVPR, 2019)

Neural Scene Decomposition for Multi-Person Motion Capture. - Helge Rhodin; Victor Constantin; Isinsu Katircioglu; Mathieu Salzmann; Pascal Fua (CVPR, 2019)

Recurrent U-Net for Resource-Constrained Segmentation. - Wei Wang 108; Kaicheng Yu; Joachim Hugonot; Pascal Fua; Mathieu Salzmann (ICCV, 2019)

GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping. - Erhan Gundogdu; Victor Constantin; Amrollah Seifoddini; Minh Dang; Mathieu Salzmann; Pascal Fua (ICCV, 2019)

Detecting the Unexpected via Image Resynthesis. - Krzysztof Lis; Krishna Kanth Nakka; Pascal Fua; Mathieu Salzmann (ICCV, 2019)

Learning Trajectory Dependencies for Human Motion Prediction. - Wei Mao 001; Miaomiao Liu 001; Mathieu Salzmann; Hongdong Li (ICCV, 2019)

Field Typing for Improved Recognition on Heterogeneous Handwritten Forms. - Ciprian Tomoiaga; Paul Feng; Mathieu Salzmann; Patrick Jayet (ICDAR, 2019)

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

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

Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation. - Weizhe Liu; Krzysztof Lis; Mathieu Salzmann; Pascal Fua (IROS, 2019)

Backpropagation-Friendly Eigendecomposition. - Wei Wang 108; Zheng Dang; Yinlin Hu; Pascal Fua; Mathieu Salzmann (NeurIPS, 2019)

Interpretable BoW Networks for Adversarial Example Detection. - Krishna Kanth Nakka; Mathieu Salzmann (CoRR, 2019)

Self-supervised Training of Proposal-based Segmentation via Background Prediction. - Isinsu Katircioglu; Helge Rhodin; Victor Constantin; Jörg Spörri; Mathieu Salzmann; Pascal Fua (CoRR, 2019)

Learning Variations in Human Motion via Mix-and-Match Perturbation. - Mohammad Sadegh Aliakbarian; Fatemeh Sadat Saleh; Mathieu Salzmann; Lars Petersson; Stephen Gould; AmirHossein Habibian (CoRR, 2019)

Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting. - Weizhe Liu; Mathieu Salzmann; Pascal Fua (CoRR, 2019)

On Certifying Robust Models by Polyhedral Envelope. - Chen Liu 027; Mathieu Salzmann; Sabine Süsstrunk (CoRR, 2019)

Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior. - Mohammad Sadegh Aliakbarian; Fatemeh Sadat Saleh; Mathieu Salzmann; Lars Petersson; Stephen Gould (CoRR, 2019)

ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture. - Sena Kiciroglu; Helge Rhodin; Sudipta N. Sinha; Mathieu Salzmann; Pascal Fua (CoRR, 2019)

Memory Efficient Max Flow for Multi-Label Submodular MRFs. - Thalaiyasingam Ajanthan; Richard Hartley 001; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Beyond Sharing Weights for Deep Domain Adaptation. - Artem Rozantsev; Mathieu Salzmann; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials. - Thomas Joy; Alban Desmaison; Thalaiyasingam Ajanthan; Rudy Bunel; Mathieu Salzmann; Pushmeet Kohli; Philip H. S. Torr; M. Pawan Kumar (SIAM J. Imaging Sci., 2019)

Better Patch Stitching for Parametric Surface Reconstruction. - Zhantao Deng; Jan Bednarík; Mathieu Salzmann; Pascal Fua (3DV, 2020)

Motion Prediction Using Temporal Inception Module. - Tim Lebailly; Sena Kiciroglu; Mathieu Salzmann; Pascal Fua; Wei Wang 108 (ACCV (2), 2020)

Towards Robust Fine-Grained Recognition by Maximal Separation of Discriminative Features. - Krishna Kanth Nakka; Mathieu Salzmann (ACCV (6), 2020)

A Stochastic Conditioning Scheme for Diverse Human Motion Prediction. - Mohammad Sadegh Aliakbarian; Fatemeh Sadat Saleh; Mathieu Salzmann; Lars Petersson; Stephen Gould (CVPR, 2020)

Shape Reconstruction by Learning Differentiable Surface Representations. - Jan Bednarík; Shaifali Parashar; Erhan Gündogdu; Mathieu Salzmann; Pascal Fua (CVPR, 2020)

DUNIT: Detection-Based Unsupervised Image-to-Image Translation. - Deblina Bhattacharjee; Seungryong Kim; Guillaume Vizier; Mathieu Salzmann (CVPR, 2020)

Single-Stage 6D Object Pose Estimation. - Yinlin Hu; Pascal Fua; Wei Wang 108; Mathieu Salzmann (CVPR, 2020)

ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture. - Sena Kiciroglu; Helge Rhodin; Sudipta N. Sinha; Mathieu Salzmann; Pascal Fua (CVPR, 2020)

Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings. - Shaifali Parashar; Mathieu Salzmann; Pascal Fua (CVPR, 2020)

Volumetric Transformer Networks. - Seungryong Kim; Sabine Süsstrunk; Mathieu Salzmann (ECCV (28), 2020)

Estimating People Flows to Better Count Them in Crowded Scenes. - Weizhe Liu; Mathieu Salzmann; Pascal Fua (ECCV (15), 2020)

History Repeats Itself: Human Motion Prediction via Motion Attention. - Wei Mao 001; Miaomiao Liu 001; Mathieu Salzmann (ECCV (14), 2020)

Indirect Local Attacks for Context-Aware Semantic Segmentation Networks. - Krishna Kanth Nakka; Mathieu Salzmann (ECCV (5), 2020)

Domain Adaptive Multibranch Networks. - Róger Bermúdez-Chacón; Mathieu Salzmann; Pascal Fua (ICLR, 2020)

Evaluating The Search Phase of Neural Architecture Search. - Kaicheng Yu; Christian Sciuto; Martin Jaggi; Claudiu Musat; Mathieu Salzmann (ICLR, 2020)

ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks. - Shuxuan Guo; José M. Álvarez 004; Mathieu Salzmann (NeurIPS, 2020)

On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them. - Chen Liu 027; Mathieu Salzmann; Tao Lin 004; Ryota Tomioka; Sabine Süsstrunk (NeurIPS, 2020)

How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS. - Kaicheng Yu; René Ranftl; Mathieu Salzmann (CoRR, 2020)

ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking. - Fatemeh Sadat Saleh; Mohammad Sadegh Aliakbarian; Mathieu Salzmann; Stephen Gould (CoRR, 2020)

Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration. - Zheng Dang; Fei Wang 008; Mathieu Salzmann (CoRR, 2020)

GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss. - Erhan Gundogdu; Victor Constantin; Shaifali Parashar; Amrollah Seifoddini; Minh Dang; Mathieu Salzmann; Pascal Fua (CoRR, 2020)

Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations. - Zhigang Li; Yinlin Hu; Mathieu Salzmann; Xiangyang Ji (CoRR, 2020)

Self-supervised Segmentation via Background Inpainting. - Isinsu Katircioglu; Helge Rhodin; Victor Constantin; Jörg Spörri; Mathieu Salzmann; Pascal Fua (CoRR, 2020)

3D Registration for Self-Occluded Objects in Context. - Zheng Dang; Fei Wang 008; Mathieu Salzmann (CoRR, 2020)

A Closed-Form Solution to Local Non-Rigid Structure-from-Motion. - Shaifali Parashar; Yuxuan Long; Mathieu Salzmann; Pascal Fua (CoRR, 2020)

Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation. - Sina Honari; Victor Constantin; Helge Rhodin; Mathieu Salzmann; Pascal Fua (CoRR, 2020)

Self-supervised Human Detection and Segmentation via Multi-view Consensus. - Isinsu Katircioglu; Helge Rhodin; Jörg Spörri; Mathieu Salzmann; Pascal Fua (CoRR, 2020)

Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction. - Mengshi Qi; Edoardo Remelli; Mathieu Salzmann; Pascal Fua (CoRR, 2020)

Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers. - Krishna Kanth Nakka; Mathieu Salzmann (CoRR, 2020)

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures. - Mateusz Kozinski; Agata Mosinska; Mathieu Salzmann; Pascal Fua (Medical Image Anal., 2020)

Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images. - Róger Bermúdez-Chacón; Okan Altingövde; Carlos J. Becker; Mathieu Salzmann; Pascal Fua (IEEE Trans. Medical Imaging, 2020)

SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation. - Zhigang Li; Yinlin Hu; Mathieu Salzmann; Xiangyang Ji (AAAI, 2021)

Wide-Depth-Range 6D Object Pose Estimation in Space. - Yinlin Hu; Sébastien Speierer; Wenzel Jakob; Pascal Fua; Mathieu Salzmann (CVPR, 2021)

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking. - Fatemeh Sadat Saleh; Sadegh Aliakbarian; Hamid Rezatofighi; Mathieu Salzmann; Stephen Gould (CVPR, 2021)

Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. - Kaicheng Yu; René Ranftl; 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)

Contextually Plausible and Diverse 3D Human Motion Prediction. - Sadegh Aliakbarian; Fatemeh Sadat Saleh; Lars Petersson; Stephen Gould; Mathieu Salzmann (ICCV, 2021)

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

Human Detection and Segmentation via Multi-view Consensus. - Isinsu Katircioglu; Helge Rhodin; Jörg Spörri; Mathieu Salzmann; Pascal Fua (ICCV, 2021)

Generating Smooth Pose Sequences for Diverse Human Motion Prediction. - Wei Mao 001; Miaomiao Liu 001; Mathieu Salzmann (ICCV, 2021)

Progressive Correspondence Pruning by Consensus Learning. - Chen Zhao; Yixiao Ge; Feng Zhu 006; Rui Zhao 001; Hongsheng Li 001; Mathieu Salzmann (ICCV, 2021)

SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. - Robin Chan; Krzysztof Lis; Svenja Uhlemeyer; Hermann Blum; Sina Honari; Roland Siegwart; Pascal Fua; Mathieu Salzmann; Matthias Rottmann (NeurIPS Datasets and Benchmarks, 2021)

Distilling Image Classifiers in Object Detectors. - Shuxuan Guo; José M. Álvarez 004; Mathieu Salzmann (NeurIPS, 2021)

Learning Transferable Adversarial Perturbations. - Krishna Kanth Nakka; Mathieu Salzmann (NeurIPS, 2021)

DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows. - Samuel von Baußnern; Johannes S. Otterbach; Adrian Loy; Mathieu Salzmann; Thomas Wollmann (CoRR, 2021)

What Stops Learning-based 3D Registration from Working in the Real World? - Zheng Dang; Lizhou Wang; Junning Qiu; Minglei Lu; Mathieu Salzmann (CoRR, 2021)

Dyadic Human Motion Prediction. - Isinsu Katircioglu; Costa Georgantas; Mathieu Salzmann; Pascal Fua (CoRR, 2021)

On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training. - Chen Liu 027; Zhichao Huang 002; Mathieu Salzmann; Tong Zhang 023; Sabine Süsstrunk (CoRR, 2021)

Multi-level Motion Attention for Human Motion Prediction. - Wei Mao 001; Miaomiao Liu 001; Mathieu Salzmann; Hongdong Li (Int. J. Comput. Vis., 2021)

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. - Zheng Dang; Kwang Moo Yi; Yinlin Hu; Fei Wang 008; Pascal Fua; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification. - Siyuan Hao; Wei Wang 108; Mathieu Salzmann (IEEE Trans. Geosci. Remote. Sens., 2021)

Long Term Motion Prediction Using Keyposes. - Sena Kiciroglu; Wei Wang 108; Mathieu Salzmann; Pascal Fua (3DV, 2022)

3D Pose Based Feedback for Physical Exercises. - Ziyi Zhao; Sena Kiciroglu; Hugues Vinzant; Yuan Cheng; Isinsu Katircioglu; Mathieu Salzmann; Pascal Fua (ACCV (4), 2022)

Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction. - Wei Mao 001; Miaomiao Liu 001; Mathieu Salzmann (CVPR, 2022)

MuIT: An End-to-End Multitask Learning Transformer. - Deblina Bhattacharjee; Tong Zhang 023; Sabine Süsstrunk; Mathieu Salzmann (CVPR, 2022)

Adversarial Parametric Pose Prior. - Andrey Davydov; Anastasia Remizova; Victor Constantin; Sina Honari; Mathieu Salzmann; Pascal Fua (CVPR, 2022)

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. - Van Nguyen Nguyen; Yinlin Hu; Yang Xiao 009; Mathieu Salzmann; Vincent Lepetit (CVPR, 2022)

Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. - Tong Zhang 023; Congpei Qiu; Wei Ke 003; Sabine Süsstrunk; Mathieu Salzmann (CVPR, 2022)

Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. - Zheng Dang; Lizhou Wang; Yu Guo 006; Mathieu Salzmann (ECCV (1), 2022)

Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. - Yinlin Hu; Pascal Fua; Mathieu Salzmann (ECCV (2), 2022)

Universal, Transferable Adversarial Perturbations for Visual Object Trackers. - Krishna Kanth Nakka; Mathieu Salzmann (ECCV Workshops (1), 2022)

Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects. - Chen Zhao; Yinlin Hu; Mathieu Salzmann (ECCV (1), 2022)

Contrastive Class-aware Adaptation for Domain Generalization. - Tianle Chen; Mahsa Baktashmotlagh; Mathieu Salzmann (ICPR, 2022)

Contact-aware Human Motion Forecasting. - Wei Mao 001; Miaomiao Liu 001; Richard I. Hartley; Mathieu Salzmann (NeurIPS, 2022)

Robust Binary Models by Pruning Randomly-initialized Networks. - Chen Liu 027; Ziqi Zhao; Sabine Süsstrunk; Mathieu Salzmann (NeurIPS, 2022)

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

Estimating Image Depth in the Comics Domain. - Deblina Bhattacharjee; Martin Everaert; Mathieu Salzmann; Sabine Süsstrunk (WACV, 2022)

MulT: An End-to-End Multitask Learning Transformer. - Deblina Bhattacharjee; Tong Zhang 023; Sabine Süsstrunk; Mathieu Salzmann (CoRR, 2022)

Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment. - Shuxuan Guo; Yinlin Hu; José M. Álvarez 004; Mathieu Salzmann (CoRR, 2022)

DrapeNet: Generating Garments and Draping them with Self-Supervision. - Luca De Luigi; Ren Li; Benoît Guillard; Mathieu Salzmann; Pascal Fua (CoRR, 2022)

Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation. - Chen Zhao; Yinlin Hu; Mathieu Salzmann (CoRR, 2022)

DSI2I: Dense Style for Unpaired Image-to-Image Translation. - Baran Ozaydin; Tong Zhang 023; Sabine Süsstrunk; Mathieu Salzmann (CoRR, 2022)

AttEntropy: Segmenting Unknown Objects in Complex Scenes using the Spatial Attention Entropy of Semantic Segmentation Transformers. - Krzysztof Lis; Matthias Rottmann; Sina Honari; Pascal Fua; Mathieu Salzmann (CoRR, 2022)

Attention-based domain adaptation for single-stage detectors. - Vidit Vidit; Mathieu Salzmann (Mach. Vis. Appl., 2022)

GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss. - Erhan Gundogdu; Victor Constantin; Shaifali Parashar; Amrollah Seifoddini; Minh Dang; Mathieu Salzmann; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Self-Supervised Human Detection and Segmentation via Background Inpainting. - Isinsu Katircioglu; Helge Rhodin; Victor Constantin; Jörg Spörri; Mathieu Salzmann; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Counting People by Estimating People Flows. - Weizhe Liu; Mathieu Salzmann; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Robust Differentiable SVD. - Wei Wang 108; Zheng Dang; Yinlin Hu; Pascal Fua; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

An Analysis of Super-Net Heuristics in Weight-Sharing NAS. - Kaicheng Yu; René Ranftl; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Modeling Object Dissimilarity for Deep Saliency Prediction. - Bahar Aydemir; Deblina Bhattacharjee; Tong Zhang 023; Seungryong Kim; Mathieu Salzmann; Sabine Süsstrunk (Trans. Mach. Learn. Res., 2022)

TempSAL - Uncovering Temporal Information for Deep Saliency Prediction. - Bahar Aydemir; Ludo Hoffstetter; Tong Zhang 023; Mathieu Salzmann; Sabine Süsstrunk (CVPR, 2023)

Dense Multitask Learning to Reconfigure Comics. - Deblina Bhattacharjee; Sabine Süsstrunk; Mathieu Salzmann (CVPR Workshops, 2023)

Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions. - Shuxuan Guo; Yinlin Hu; José M. Álvarez 004; Mathieu Salzmann (CVPR, 2023)

Rigidity-Aware Detection for 6D Object Pose Estimation. - Yang Hai; Rui Song 003; Jiaojiao Li 001; Mathieu Salzmann; Yinlin Hu (CVPR, 2023)

Robust Outlier Rejection for 3D Registration with Variational Bayes. - Haobo Jiang; Zheng Dang; Zhen Wei; Jin Xie 001; Jian Yang 003; Mathieu Salzmann (CVPR, 2023)

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

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

Learning Transformations to Reduce the Geometric Shift in Object Detection. - Vidit Vidit; Martin Engilberge; Mathieu Salzmann (CVPR, 2023)

Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild. - Yanhao Wu; Tong Zhang 023; Wei Ke 003; Sabine Süsstrunk; Mathieu Salzmann (CVPR, 2023)

Vision Transformer Adapters for Generalizable Multitask Learning. - Deblina Bhattacharjee; Sabine Süsstrunk; Mathieu Salzmann (ICCV, 2023)

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

Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation. - Haobo Jiang; Zheng Dang; Shuo Gu; Jin Xie 001; Mathieu Salzmann; Jian Yang 003 (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 002; Kun Sun 002; Chu'ai Zhang; Yanning Zhang 001; Mathieu Salzmann (ICCV, 2023)

Towards Stable and Efficient Adversarial Training against l1 Bounded Adversarial Attacks. - Yulun Jiang; Chen Liu 027; Zhichao Huang 002; Mathieu Salzmann; Sabine Süsstrunk (ICML, 2023)

SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation. - Haobo Jiang; Mathieu Salzmann; Zheng Dang; Jin Xie 001; Jian Yang 003 (NeurIPS, 2023)

Center-aware Adversarial Augmentation for Single Domain Generalization. - Tianle Chen; Mahsa Baktashmotlagh; Zijian Wang 009; Mathieu Salzmann (WACV, 2023)

Module-Wise Network Quantization for 6D Object Pose Estimation. - Saqib Javed; Andrew Lawrence Price; Yinlin Hu; Mathieu Salzmann (CoRR, 2023)

NOPE: Novel Object Pose Estimation from a Single Image. - Van Nguyen Nguyen; Thibault Groueix; Yinlin Hu; Mathieu Salzmann; Vincent Lepetit (CoRR, 2023)

De-coupling and De-positioning Dense Self-supervised Learning. - Congpei Qiu; Tong Zhang 023; Wei Ke 003; Mathieu Salzmann; Sabine Süsstrunk (CoRR, 2023)

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. - Tang Tao; Longfei Gao; Guangrun Wang; Peng Chen; Dayang Hao; Xiaodan Liang; Mathieu Salzmann; Kaicheng Yu (CoRR, 2023)

Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation. - Krishna Kanth Nakka; Mathieu Salzmann (CoRR, 2023)

TIC-TAC: A Framework To Learn And Evaluate Your Covariance. - Megh Shukla; Mathieu Salzmann; Alexandre Alahi (CoRR, 2023)

DiffusionPCR: Diffusion Models for Robust Multi-Step Point Cloud Registration. - Zhi Chen 011; Yufan Ren; Tong Zhang 023; Zheng Dang; Wenbing Tao; Sabine Süsstrunk; Mathieu Salzmann (CoRR, 2023)

Fast Adversarial Training With Adaptive Step Size. - Zhichao Huang 002; Yanbo Fan; Chen Liu 027; Weizhong Zhang; Yong Zhang 034; Mathieu Salzmann; Sabine Süsstrunk; Jue Wang 001 (IEEE Trans. Image Process., 2023)

Perspective Aware Road Obstacle Detection. - Krzysztof Lis; Sina Honari; Pascal Fua; Mathieu Salzmann (IEEE Robotics Autom. Lett., 2023)

Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation. - Sina Honari; Victor Constantin; Helge Rhodin; Mathieu Salzmann; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Training Provably Robust Models by Polyhedral Envelope Regularization. - Chen Liu 027; Mathieu Salzmann; Sabine Süsstrunk (IEEE Trans. Neural Networks Learn. Syst., 2023)

Unsupervised 3D Keypoint Discovery with Multi-View Geometry. - Sina Honari; Chen Zhao; Mathieu Salzmann; Pascal Fua (3DV, 2024)

LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation. - Chen Zhao; Yinlin Hu; Mathieu Salzmann (3DV, 2024)

AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains. - Krzysztof Baron-Lis; Matthias Rottmann; Annika Mütze; Sina Honari; Pascal Fua; Mathieu Salzmann (BMVC, 2024)

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

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning Through Object Exchange. - Yanhao Wu; Tong Zhang 023; Wei Ke 003; Congpei Qiu; Sabine Süsstrunk; Mathieu Salzmann (CVPR, 2024)

DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses. - Chen Zhao; Tong Zhang 023; Zheng Dang; Mathieu Salzmann (CVPR, 2024)

Data Augmentation via Latent Diffusion for Saliency Prediction. - Bahar Aydemir; Deblina Bhattacharjee; Tong Zhang 023; Mathieu Salzmann; Sabine Süsstrunk (ECCV (78), 2024)

Unlocking Comics: The AI4VA Dataset for Visual Understanding. - Peter Grönquist; Deblina Bhattacharjee; Bahar Aydemir; Baran Ozaydin; Tong Zhang 023; Mathieu Salzmann; Sabine Süsstrunk (ECCV Workshops (5), 2024)

Source-Free Domain-Invariant Performance Prediction. - Ekaterina Khramtsova; Mahsa Baktashmotlagh; Guido Zuccon; Xi Wang 021; Mathieu Salzmann (ECCV (80), 2024)

SINDER: Repairing the Singular Defects of DINOv2. - Haoqi Wang; Tong Zhang 023; Mathieu Salzmann (ECCV (7), 2024)

3D Single-Object Tracking in Point Clouds with High Temporal Variation. - Qiao Wu; Kun Sun 002; Pei An; Mathieu Salzmann; Yanning Zhang 001; Jiaqi Yang 002 (ECCV (7), 2024)

Neural SDF Flow for 3D Reconstruction of Dynamic Scenes. - Wei Mao 001; Richard Hartley 001; Mathieu Salzmann; Miaomiao Liu 001 (ICLR, 2024)

Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning. - Congpei Qiu; Tong Zhang 023; Yanhao Wu; Wei Ke 003; Mathieu Salzmann; Sabine Süsstrunk (ICLR, 2024)

3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation. - Chen Zhao; Tong Zhang 023; Mathieu Salzmann (ICLR, 2024)

TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression. - Megh Shukla; Mathieu Salzmann; Alexandre Alahi (ICML, 2024)

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. - Tang Tao; Longfei Gao; Guangrun Wang; Yixing Lao; Peng Chen; Hengshuang Zhao; Dayang Hao; Xiaodan Liang; Mathieu Salzmann; Kaicheng Yu (ACM Multimedia, 2024)

Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts. - Zhitong Gao; Bingnan Li; Mathieu Salzmann; Xuming He 001 (NeurIPS, 2024)

Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes. - Andrey Davydov; Alexey Sidnev; Artsiom Sanakoyeu; Yuhua Chen; Mathieu Salzmann; Pascal Fua (CoRR, 2024)

OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation. - Baran Ozaydin; Tong Zhang 023; Deblina Bhattacharjee; Sabine Süsstrunk; Mathieu Salzmann (CoRR, 2024)

6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction. - Théo Gieruc; Marius Kästingschäfer; Sebastian Bernhard; Mathieu Salzmann (CoRR, 2024)

OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction. - Zheng Dang; Jialu Huang; Fei Wang 008; Mathieu Salzmann (CoRR, 2024)

Coherent and Multi-modality Image Inpainting via Latent Space Optimization. - Lingzhi Pan; Tong Zhang 023; Bingyuan Chen; Qi Zhou; Wei Ke 003; Sabine Süsstrunk; Mathieu Salzmann (CoRR, 2024)

Hybrid diffusion models: combining supervised and generative pretraining for label-efficient fine-tuning of segmentation models. - Bruno Sauvalle; Mathieu Salzmann (CoRR, 2024)

Diffusion-based Speech Enhancement with Schrödinger Bridge and Symmetric Noise Schedule. - Siyi Wang; Siyi Liu; Andrew Harper; Paul Kendrick; Mathieu Salzmann; Milos Cernak (CoRR, 2024)

QT-DoG: Quantization-aware Training for Domain Generalization. - Saqib Javed; Hieu Le 001; Mathieu Salzmann (CoRR, 2024)

Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis. - Chen Zhao; Xuan Wang 009; Tong Zhang 023; Saqib Javed; Mathieu Salzmann (CoRR, 2024)

Temporally Compressed 3D Gaussian Splatting for Dynamic Scenes. - Saqib Javed; Ahmad Jarrar Khan; Corentin Dumery; Chen Zhao; Mathieu Salzmann (CoRR, 2024)

Toward Automatic Typography Analysis: Serif Classification and Font Similarities. - Syed Talal Wasim; Romain Collaud; Lara Défayes; Nicolas Henchoz; Mathieu Salzmann; Delphine Ribes Lemay (J. Data Min. Digit. Humanit., 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 (Trans. Mach. Learn. Res., 2024)

Modular Quantization-Aware Training for 6D Object Pose Estimation. - Saqib Javed; Chengkun Li; Andrew Lawrence Price; Yinlin Hu; Mathieu Salzmann (Trans. Mach. Learn. Res., 2024)

Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density. - Shuangqi Li; Chen Liu 027; Tong Zhang 023; Hieu Le 001; Sabine Süsstrunk; Mathieu Salzmann (Trans. Mach. Learn. Res., 2024)

DSI2I: Dense Style for Unpaired Exemplar-based Image-to- Image Translation. - Baran Ozaydin; Tong Zhang 023; Sabine Süsstrunk; Mathieu Salzmann (Trans. Mach. Learn. Res., 2024)

Detecting Road Obstacles by Erasing Them. - Krzysztof Lis; Sina Honari; Pascal Fua; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Processed data and trained models. - Haozhe Qi; Chen Zhao; Mathieu Salzmann; Alexander Mathis (Zenodo, 2024)

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Synthetic data. - Haozhe Qi; Chen Zhao; Mathieu Salzmann; Alexander Mathis (Zenodo, 2024)

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Synthetic data. - Haozhe Qi; Chen Zhao; Mathieu Salzmann; Alexander Mathis (Zenodo, 2024)

Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. - Zheng Dang; Lizhou Wang; Yu Guo 006; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Processed data and trained models. - Haozhe Qi; Chen Zhao; Mathieu Salzmann; Alexander Mathis (Zenodo, 2024)

A Closed-Form, Pairwise Solution to Local Non-Rigid Structure-From-Motion. - Shaifali Parashar; Yuxuan Long; Mathieu Salzmann; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera. - Haixin Shi; Yinlin Hu; Daniel Koguciuk; Juan-Ting Lin; Mathieu Salzmann; David Ferstl (AAAI, 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; et al. (CVPR, 2025)

MotionMap: Representing Multimodality in Human Pose Forecasting. - Reyhaneh HosseiniNejad; Megh Shukla; Saeed Saadatnejad; Mathieu Salzmann; Alexandre Alahi (CVPR, 2025)

Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds. - Shuangqi Li; Hieu Le 001; Jingyi Xu; Mathieu Salzmann (ICLR, 2025)

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

Adaptive Multi-step Refinement Network for Robust Point Cloud Registration. - Zhi Chen 011; Yufan Ren; Tong Zhang 023; Zheng Dang; Wenbing Tao; Sabine Süsstrunk; Mathieu Salzmann (Trans. Mach. Learn. Res., 2025)

Demystifying Singular Defects in Large Language Models. - Haoqi Wang; Tong Zhang 023; Mathieu Salzmann (CoRR, 2025)

Temporally-Consistent Surface Reconstruction Using Metrically-Consistent Atlases. - Jan Bednarík; Noam Aigerman; Vladimir G. Kim; Siddhartha Chaudhuri; Shaifali Parashar; Mathieu Salzmann; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Learning to Weight Parameters for Data Attribution. - Shuangqi Li; Hieu Le 001; Jingyi Xu; Mathieu Salzmann (CoRR, 2025)