Mathieu Salzmann

发表

Learning cross-modality similarity for multinomial data

Trevor Darrell, Yangqing Jia, Mathieu Salzmann, 2011, 2011 International Conference on Computer Vision.

A Multi-modal Graphical Model for Scene Analysis

Lars Petersson, Mathieu Salzmann, Mohammad Najafi, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

Backpropagation-Friendly Eigendecomposition

Pascal Fua, Mathieu Salzmann, Wei Wang, 2019, NeurIPS.

Monocular 3D Reconstruction of Locally Textured Surfaces

Pascal Fua, Mathieu Salzmann, Aydin Varol, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deformable 3D Fusion: From Partial Dynamic 3D Observations to Complete 4D Models

Yongtian Wang, Yue Liu, Mathieu Salzmann, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Learning appearance models for road detection

Nick Barnes, Mathieu Salzmann, Jose M. Alvarez, 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).

From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices pdf

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley, 2014, ECCV.

Structural Kernel Learning for Large Scale Multiclass Object Co-detection

Xuming He, Mathieu Salzmann, Zeeshan Hayder, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction pdf

Pascal Fua, Edoardo Remelli, Mathieu Salzmann, 2020, ArXiv.

Capturing 3D stretchable surfaces from single images in closed form

Vincent Lepetit, Francesc Moreno-Noguer, Pascal Fua, 2009, CVPR.

Beyond Sharing Weights for Deep Domain Adaptation

Pascal Fua, Mathieu Salzmann, Artem Rozantsev, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation pdf

Lars Petersson, Basura Fernando, Mathieu Salzmann, 2016, ArXiv.

Residual Parameter Transfer for Deep Domain Adaptation

Pascal Fua, Mathieu Salzmann, Artem Rozantsev, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Semantically Plausible and Diverse 3D Human Motion Prediction

Lars Petersson, Mathieu Salzmann, Fatemeh Sadat Saleh, 2019 .

Domain Adaptation on the Statistical Manifold

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods

Mehrtash Harandi, Richard Hartley, Mathieu Salzmann, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation pdf

Pascal Fua, Sina Honari, Mathieu Salzmann, 2020, ArXiv.

Single-Stage 6D Object Pose Estimation

Pascal Fua, Wei Wang, Mathieu Salzmann, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Estimating People Flows to Better Count them in Crowded Scenes

Pascal Fua, Mathieu Salzmann, Weizhe Liu, 2020, ECCV.

Artificial Intelligence and Statistics Conference

Trevor Darrell, Raquel Urtasun, Carl Henrik Ek, 2010 .

Segmentation of developing human embryo in time-lapse microscopy

Mathieu Salzmann, Stephen Gould, Aisha Khan, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features pdf

Mathieu Salzmann, Krishna Kanth Nakka, M. Salzmann, 2020, ACCV.

ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture

Pascal Fua, Mathieu Salzmann, Sudipta N. Sinha, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Variations in Human Motion via Mix-and-Match Perturbation pdf

Lars Petersson, Mathieu Salzmann, Stephen Gould, 2019, ArXiv.

Surface Deformation Models for Nonrigid 3D Shape Recovery

Pascal Fua, Slobodan Ilic, Mathieu Salzmann, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep Attentional Structured Representation Learning for Visual Recognition

Mathieu Salzmann, Krishna Kanth Nakka, M. Salzmann, 2018, BMVC.

Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images

Pascal Fua, Mathieu Salzmann, Róger Bermúdez-Chacón, 2020, IEEE Transactions on Medical Imaging.

Learning to Recognize Objects from Unseen Modalities

Trevor Darrell, Raquel Urtasun, Mathieu Salzmann, 2010, ECCV.

Mirror Surface Reconstruction from a Single Image

Mathieu Salzmann, Richard I. Hartley, Miaomiao Liu, 2015, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Field Typing for Improved Recognition on Heterogeneous Handwritten Forms

Mathieu Salzmann, Ciprian Tomoiaga, Paul Feng, 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).

Unsupervised Geometry-Aware Representation Learning for 3D Human Pose Estimation

Pascal Fua, Mathieu Salzmann, Helge Rhodin, 2018, ECCV 2018.

Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

A Linear Chain Markov Model for Detection and Localization of Cells in Early Stage Embryo Development

Mathieu Salzmann, Stephen Gould, Aisha Khan, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

Learning to Co-Generate Object Proposals with a Deep Structured Network

Xuming He, Mathieu Salzmann, Zeeshan Hayder, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Subspace Clustering Networks

Tong Zhang, Hongdong Li, Ian D. Reid, 2017, NIPS.

Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation

Lars Petersson, Mathieu Salzmann, Jose M. Alvarez, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Optimizing over Radial Kernels on Compact Manifolds

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

A Family of MCMC Methods on Implicitly Defined Manifolds

Raquel Urtasun, Mathieu Salzmann, Marcus A. Brubaker, 2012, AISTATS.

Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction

Raquel Urtasun, Mathieu Salzmann, R. Urtasun, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Learning to Find Good Correspondences

Vincent Lepetit, Pascal Fua, Mathieu Salzmann, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Geometry-Aware Deep Network for Single-Image Novel View Synthesis

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning the Number of Neurons in Deep Networks

Mathieu Salzmann, Jose M. Alvarez, M. Salzmann, 2016, NIPS.

Reconstructing sharply folding surfaces: A convex formulation

Pascal Fua, Mathieu Salzmann, P. Fua, 2009, CVPR.

When VLAD Met Hilbert

Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, Mathieu Salzmann, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Non-Linear Subspace Clustering with Learned Low-Rank Kernels

Hongdong Li, Ian Reid, Mathieu Salzmann, 2017, 1707.04974.

Scalable Unsupervised Domain Adaptation for Electron Microscopy

Pascal Fua, Mathieu Salzmann, Carlos J. Becker, 2016, MICCAI.

Real-time keystone correction for hand-held projectors with an RGBD camera

Yongtian Wang, Yue Liu, Mathieu Salzmann, 2013, 2013 IEEE International Conference on Image Processing.

Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktash, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping

Pascal Fua, Mathieu Salzmann, Erhan Gundogdu, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Self-supervised Segmentation via Background Inpainting pdf

Pascal Fua, Mathieu Salzmann, Victor Constantin, 2020, ArXiv.

Template-Free 3D Reconstruction of Poorly-Textured Nonrigid Surfaces

Fei Wang, Xuan Wang, Jizhong Zhao, 2016, ECCV.

Shape-aware Instance Segmentation pdf

Xuming He, Mathieu Salzmann, Zeeshan Hayder, 2016, ArXiv.

Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation pdf

Lars Petersson, Mathieu Salzmann, Stephen Gould, 2016, ECCV.

Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior pdf

Lars Petersson, Mathieu Salzmann, Fatemeh Sadat Saleh, 2019, ArXiv.

Deformable Surface 3D Reconstruction from Monocular Images

Pascal Fua, Mathieu Salzmann, P. Fua, 2010, Synthesis Lectures on Computer Vision.

Object Co-detection via Efficient Inference in a Fully-Connected CRF

Xuming He, Mathieu Salzmann, Zeeshan Hayder, 2014, ECCV.

Better Patch Stitching for Parametric Surface Reconstruction

Pascal Fua, Mathieu Salzmann, Zhantao Deng, 2020, 2020 International Conference on 3D Vision (3DV).

Exploiting Large Image Sets for Road Scene Parsing

Nick Barnes, Mathieu Salzmann, Jose M. Alvarez, 2016, IEEE Transactions on Intelligent Transportation Systems.

A Framework for Shape Analysis via Hilbert Space Embedding

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2013, 2013 IEEE International Conference on Computer Vision.

Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting pdf

Pascal Fua, Mathieu Salzmann, Weizhe Liu, 2019, ArXiv.

Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings

Pascal Fua, Mathieu Salzmann, Shaifali Parashar, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

Pascal Fua, Fei Wang, Mathieu Salzmann, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Motion Prediction Using Temporal Inception Module pdf

Pascal Fua, Mathieu Salzmann, Wei Wang, 2020, ACCV.

3D pose refinement from reflections

Vincent Lepetit, Pascal Fua, Mathieu Salzmann, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification

Mathieu Salzmann, Wei Wang, Siyuan Hao, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Recurrent U-Net for Resource-Constrained Segmentation

Pascal Fua, Mathieu Salzmann, Wei Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Physically-based motion models for 3D tracking: A convex formulation

Raquel Urtasun, Mathieu Salzmann, R. Urtasun, 2011, 2011 International Conference on Computer Vision.

Discrete-Continuous Depth Estimation from a Single Image

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Neural Scene Decomposition for Multi-Person Motion Capture

Pascal Fua, Mathieu Salzmann, Victor Constantin, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A constrained latent variable model

Pascal Fua, Raquel Urtasun, Mathieu Salzmann, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations pdf

Xiangyang Ji, Zhigang Li, Mathieu Salzmann, 2020, ArXiv.

Training Provably Robust Models by Polyhedral Envelope Regularization.

Mathieu Salzmann, Chen Liu, Sabine Susstrunk, 2019, IEEE transactions on neural networks and learning systems.

Adaptive Low-Rank Kernel Subspace Clustering

Hongdong Li, Ian Reid, Mathieu Salzmann, 2017 .

Robust Multi-Body Feature Tracker: A Segmentation-Free Approach

Hongdong Li, Mathieu Salzmann, Yiran Zhong, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Convex Optimization for Deformable Surface 3-D Tracking

Pascal Fua, Mathieu Salzmann, Richard I. Hartley, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Efficient Model-Free Anthropometry from Depth Data

Luc Van Gool, Andrea Fossati, Thomas Probst, 2017, 2017 International Conference on 3D Vision (3DV).

Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials

Pushmeet Kohli, Philip H. S. Torr, Mathieu Salzmann, 2019, SIAM J. Imaging Sci..

Iteratively reweighted graph cut for multi-label MRFs with non-convex priors

Hongdong Li, Mathieu Salzmann, Richard I. Hartley, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking pdf

Mathieu Salzmann, Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, 2020, ArXiv.

Statistically Motivated Second Order Pooling pdf

Mathieu Salzmann, Kaicheng Yu, Kaicheng Yu, 2018, ECCV.

Discriminative Non-Linear Stationary Subspace Analysis for Video Classification

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data

Hongdong Li, Mathieu Salzmann, Pan Ji, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Deep Convolutional Neural Networks for Human Embryonic Cell Counting

Mathieu Salzmann, Stephen Gould, Aisha Khan, 2016, ECCV Workshops.

Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation pdf

Pascal Fua, Wei Wang, Mathieu Salzmann, 2018, ArXiv.

Factorized Orthogonal Latent Spaces

Trevor Darrell, Raquel Urtasun, Carl Henrik Ek, 2010, AISTATS.

Learning Domain Invariant Embeddings by Matching Distributions

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktash, 2017, Domain Adaptation in Computer Vision Applications.

Continuous Inference in Graphical Models with Polynomial Energies

Mathieu Salzmann, M. Salzmann, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Nonrigid Surface Registration and Completion from RGBD Images

Yongtian Wang, Yue Liu, Mathieu Salzmann, 2014, ECCV.

Observable subspaces for 3D human motion recovery

Pascal Fua, Andrea Fossati, Mathieu Salzmann, 2009, CVPR.

Semantic labeling for prosthetic vision

Nick Barnes, Chris McCarthy, Mathieu Salzmann, 2016, Comput. Vis. Image Underst..

Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation

Lars Petersson, Mathieu Salzmann, Stephen Gould, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Expanding the Family of Grassmannian Kernels: An Embedding Perspective

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, ECCV.

Implicit Meshes for Effective Silhouette Handling

Pascal Fua, Slobodan Ilic, Mathieu Salzmann, 2007, International Journal of Computer Vision.

DUNIT: Detection-Based Unsupervised Image-to-Image Translation

Seungryong Kim, Mathieu Salzmann, Deblina Bhattacharjee, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Compression-aware Training of Deep Networks

Mathieu Salzmann, Jose M. Alvarez, M. Salzmann, 2017, NIPS.

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking pdf

Mathieu Salzmann, Stephen Gould, Sadegh Aliakbarian, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation

Pascal Fua, Mathieu Salzmann, Weizhe Liu, 2018, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Local Non-Rigid Structure-from-Motion from Locally Diffeomorphic Mappings

Pascal Fua, Mathieu Salzmann, Shaifali Parashar, 2020, CVPR 2020.

On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them pdf

Tao Lin, Ryota Tomioka, Mathieu Salzmann, 2020, NeurIPS.

Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation pdf

Pascal Fua, Mathieu Salzmann, Bugra Tekin, 2016, ArXiv.

Soft Correspondences in Multimodal Scene Parsing pdf

Lars Petersson, Mathieu Salzmann, Mohammad Najafi, 2017, ArXiv.

Kernel Coding: General Formulation and Special Cases pdf

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, M. Salzmann, 2014, ArXiv.

Joint Dimensionality Reduction and Metric Learning: A Geometric Take

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley, 2017, ICML.

Long Term Motion Prediction Using Keyposes pdf

Pascal Fua, Mathieu Salzmann, Wei Wang, 2020, ArXiv.

Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation

Pascal Fua, Mathieu Salzmann, Bugra Tekin, 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

Self-supervised Training of Proposal-based Segmentation via Background Prediction pdf

Pascal Fua, Mathieu Salzmann, Jörg Spörri, 2019, ArXiv.

Large-scale semantic co-labeling of image sets

Nick Barnes, Mathieu Salzmann, Jose M. Alvarez, 2014, IEEE Winter Conference on Applications of Computer Vision.

VIENA2: A Driving Anticipation Dataset pdf

Lars Petersson, Basura Fernando, Mathieu Salzmann, 2018, ACCV.

A Stochastic Conditioning Scheme for Diverse Human Motion Prediction

Lars Petersson, Mathieu Salzmann, Fatemeh Sadat Saleh, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Automated monitoring of human embryonic cells up to the 5-cell stage in time-lapse microscopy images

Mathieu Salzmann, Stephen Gould, Aisha Khan, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks

Mathieu Salzmann, Jose M. Alvarez, Shuxuan Guo, 2020, NeurIPS.

Local deformation models for monocular 3D shape recovery

Pascal Fua, Raquel Urtasun, Mathieu Salzmann, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking

Pascal Fua, Slobodan Ilic, Mathieu Salzmann, 2005, BMVC.

Encouraging LSTMs to Anticipate Actions Very Early

Lars Petersson, Basura Fernando, Mathieu Salzmann, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Boundary-Aware Instance Segmentation

Xuming He, Mathieu Salzmann, Zeeshan Hayder, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Cutting Edge: Soft Correspondences in Multimodal Scene Parsing

Lars Petersson, Mathieu Salzmann, Mohammad Najafi, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering

Lars Petersson, Mathieu Salzmann, Mohammad Najafi, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss

Pascal Fua, Mathieu Salzmann, Erhan Gundogdu, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Evaluating the Search Phase of Neural Architecture Search pdf

Martin Jaggi, Mathieu Salzmann, Claudiu Musat, 2019, ICLR.

Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation pdf

Pascal Fua, Mathieu Salzmann, Helge Rhodin, 2018, ECCV.

Context-Aware Crowd Counting

Pascal Fua, Mathieu Salzmann, Weizhe Liu, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Trajectory Dependencies for Human Motion Prediction

Hongdong Li, Mathieu Salzmann, Miaomiao Liu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

3D Registration for Self-Occluded Objects in Context pdf

Fei Wang, Mathieu Salzmann, Zheng Dang, 2020, ArXiv.

3D Box Proposals From a Single Monocular Image of an Indoor Scene

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2018, AAAI.

Template-free monocular reconstruction of deformable surfaces

Pascal Fua, Mathieu Salzmann, Aydin Varol, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Null space clustering with applications to motion segmentation and face clustering

Hongdong Li, Mathieu Salzmann, Yiran Zhong, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Learning Latent Representations of 3D Human Pose with Deep Neural Networks

Vincent Lepetit, Pascal Fua, Mathieu Salzmann, 2018, International Journal of Computer Vision.

Domain Adaptive Multibranch Networks

Pascal Fua, Mathieu Salzmann, Róger Bermúdez-Chacón, 2020, ICLR.

Distribution-Matching Embedding for Visual Domain Adaptation

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktash, 2016, J. Mach. Learn. Res..

Non-Linear Stationary Subspace Analysis with Application to Video Classification

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2013, ICML.

Segmentation-Driven 6D Object Pose Estimation

Pascal Fua, Mathieu Salzmann, Yinlin Hu, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Overcoming Multi-Model Forgetting pdf

Martin Jaggi, Mathieu Salzmann, Claudiu Musat, 2019, ICML.

Building Scene Models by Completing and Hallucinating Depth and Semantics

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2016, ECCV.

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses pdf

Fei Wang, Pascal Fua, Mathieu Salzmann, 2018, ECCV.

Efficient Linear Programming for Dense CRFs

Philip H. S. Torr, Mathieu Salzmann, Rudy Bunel, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

3D Morphing without User Interaction

Pascal Fua, Raquel Urtasun, Mathieu Salzmann, 2004 .

Effective Use of Synthetic Data for Urban Scene Semantic Segmentation pdf

Lars Petersson, Mathieu Salzmann, Fatemeh Sadat Saleh, 2018, ECCV.

History Repeats Itself: Human Motion Prediction via Motion Attention

Mathieu Salzmann, Miaomiao Liu, Wei Mao, 2020, ECCV.

Structured Depth Prediction in Challenging Monocular Video Sequences pdf

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2015, ArXiv.

Learning Shape-from-Shading for Deformable Surfaces pdf

Pascal Fua, Mathieu Salzmann, Jan Bednarík, 2018, ArXiv.

Second-order Convolutional Neural Networks pdf

Mathieu Salzmann, Kaicheng Yu, Kaicheng Yu, 2017, ArXiv.

Deformable Surface Tracking Ambiguities

Vincent Lepetit, Pascal Fua, Mathieu Salzmann, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Learning to Segment 3D Linear Structures Using Only 2D Annotations

Pascal Fua, Mathieu Salzmann, Mateusz Kozinski, 2018, MICCAI.

Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development

Mathieu Salzmann, Stephen Gould, Aisha Khan, 2015, MLMI.

Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration pdf

Fei Wang, Mathieu Salzmann, Zheng Dang, 2020, ArXiv.

How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS pdf

Mathieu Salzmann, Kaicheng Yu, Rene Ranftl, 2020, ArXiv.

Factorized Latent Spaces with Structured Sparsity

Trevor Darrell, Yangqing Jia, Mathieu Salzmann, 2010, NIPS.

A domain-adaptive two-stream U-Net for electron microscopy image segmentation

Pascal Fua, Mathieu Salzmann, Róger Bermúdez-Chacón, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Learning Monocular 3D Human Pose Estimation from Multi-view Images

Pascal Fua, Mathieu Salzmann, Erich Müller, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Imposing Hard Constraints on Deep Networks: Promises and Limitations pdf

Pascal Fua, Mathieu Salzmann, Pablo Márquez-Neila, 2017, CVPR 2017.

Robust Motion Segmentation with Unknown Correspondences

Hongdong Li, Mathieu Salzmann, Yuchao Dai, 2014, ECCV.

A Closed-Form Solution to Local Non-Rigid Structure-from-Motion pdf

Pascal Fua, Mathieu Salzmann, Shaifali Parashar, 2020, ArXiv.

Data-driven road detection

Nick Barnes, Mathieu Salzmann, Jose M. Alvarez, 2014, IEEE Winter Conference on Applications of Computer Vision.

Learning Factorized Representations for Open-set Domain Adaptation pdf

Tom Drummond, Mathieu Salzmann, Mahsa Baktash, 2018, ICLR.

Efficient transductive semantic segmentation

Nick Barnes, Mathieu Salzmann, Jose M. Alvarez, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction

Raquel Urtasun, Mathieu Salzmann, 2012, ECCV.

Shape Reconstruction by Learning Differentiable Surface Representations

Pascal Fua, Mathieu Salzmann, Erhan Gundogdu, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Indirect Local Attacks for Context-aware Semantic Segmentation Networks pdf

Mathieu Salzmann, Krishna Kanth Nakka, M. Salzmann, 2019, ECCV.

Indoor scene structure analysis for single image depth estimation

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Detecting the Unexpected via Image Resynthesis

Pascal Fua, Mathieu Salzmann, Krzysztof Lis, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Riemannian coding and dictionary learning: Kernels to the rescue

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, M. Salzmann, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Memory Efficient Max Flow for Multi-Label Submodular MRFs

Richard Hartley, Mathieu Salzmann, Thalaiyasingam Ajanthan, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation

Raquel Urtasun, Mathieu Salzmann, 2010, NIPS.

Implicit surfaces make for better silhouettes

Pascal Fua, Slobodan Ilic, Mathieu Salzmann, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Bregman Divergences for Infinite Dimensional Covariance Matrices

Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, Mathieu Salzmann, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Semantic-Aware Depth Super-Resolution in Outdoor Scenes pdf

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2016, ArXiv.

Efficient scene parsing by sampling unary potentials in a fully-connected CRF

Nick Barnes, Mathieu Salzmann, Jose M. Alvarez, 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).

Low-Rank Kernel Subspace Clustering pdf

Hongdong Li, Ian D. Reid, Mathieu Salzmann, 2017, ArXiv.

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Counting People by Estimating People Flows pdf

Pascal Fua, Mathieu Salzmann, Weizhe Liu, 2020, ArXiv.

PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers pdf

Pascal Fua, Mathieu Salzmann, Helge Rhodin, 2020, ArXiv.

Reconstructing sharply folding surfaces: A convex formulation

Pascal Fua, Mathieu Salzmann, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Detecting Road Obstacles by Erasing Them pdf

Pascal Fua, Sina Honari, Mathieu Salzmann, 2020, ArXiv.

Efficient dense subspace clustering

Hongdong Li, Mathieu Salzmann, Pan Ji, 2014, IEEE Winter Conference on Applications of Computer Vision.

Geometric and Physical Constraints for Head Plane Crowd Density Estimation in Videos pdf

Pascal Fua, Mathieu Salzmann, Weizhe Liu, 2018, ArXiv.

Linear Local Models for Monocular Reconstruction of Deformable Surfaces

Pascal Fua, Mathieu Salzmann, P. Fua, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Self-supervised Human Detection and Segmentation via Multi-view Consensus pdf

Pascal Fua, Mathieu Salzmann, Helge Rhodin, 2020, ArXiv.

Non-associative Higher-Order Markov Networks for Point Cloud Classification

Lars Petersson, Mathieu Salzmann, Mohammad Najafi, 2014, ECCV.

ExpandNet: Training Compact Networks by Linear Expansion

Mathieu Salzmann, Jose M. Alvarez, Shuxuan Guo, 2018 .

Interpretable BoW Networks for Adversarial Example Detection pdf

Mathieu Salzmann, Krishna Kanth Nakka, M. Salzmann, 2019, ArXiv.

ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture pdf

Pascal Fua, Mathieu Salzmann, Sudipta Sinha, 2019, ArXiv.

Closed-Form Solution to Non-rigid 3D Surface Registration

Vincent Lepetit, Francesc Moreno-Noguer, Pascal Fua, 2008, ECCV.

Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation

Pascal Fua, Mathieu Salzmann, Mateusz Kozinski, 2018, Medical Image Anal..

Learning to Reconstruct Texture-Less Deformable Surfaces from a Single View

Pascal Fua, Mathieu Salzmann, Jan Bednarík, 2018, 2018 International Conference on 3D Vision (3DV).

Unsupervised Domain Adaptation by Domain Invariant Projection

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2013, 2013 IEEE International Conference on Computer Vision.

Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers pdf

Mathieu Salzmann, Krishna Kanth Nakka, 2020, ArXiv.

Volumetric Transformer Networks pdf

Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann, 2020, ECCV.

Contextually Plausible and Diverse 3D Human Motion Prediction

Mathieu Salzmann, Fatemeh Sadat Saleh, Stephen Gould, 2020, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Memory Efficient Max Flow for Multi-label Submodular MRFs

Richard Hartley, Mathieu Salzmann, Thalaiyasingam Ajanthan, 2017, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Structured Prediction of 3D Human Pose with Deep Neural Networks pdf

Vincent Lepetit, Pascal Fua, Mathieu Salzmann, 2016, BMVC.

SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation pdf

Pascal Fua, Roland Siegwart, Sina Honari, 2021, NeurIPS Datasets and Benchmarks.

Distilling Image Classifiers in Object Detectors pdf

Mathieu Salzmann, Jose M. Alvarez, Shuxuan Guo, 2021, ArXiv.

Progressive Correspondence Pruning by Consensus Learning

Mathieu Salzmann, Hongsheng Li, Yixiao Ge, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Adversarial Parametric Pose Prior pdf

Pascal Fua, Sina Honari, Mathieu Salzmann, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

What Stops Learning-based 3D Registration from Working in the Real World? pdf

Mathieu Salzmann, Lizhou Wang, Zheng Dang, 2021, ArXiv.

SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation

Xiangyang Ji, Mathieu Salzmann, Zhigang Li, 2021, AAAI.

On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training pdf

Sabine Süsstrunk, Mathieu Salzmann, Chen Liu, 2021, ArXiv.

Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases pdf

Pascal Fua, Siddhartha Chaudhuri, Noam Aigerman, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Modeling Object Dissimilarity for Deep Saliency Prediction pdf

Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann, 2021, Trans. Mach. Learn. Res..

Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search

Mathieu Salzmann, Rene Ranftl, Kaicheng Yu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-level Motion Attention for Human Motion Prediction

Mathieu Salzmann, Miaomiao Liu, Hongdong Li, 2021, International Journal of Computer Vision.

DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows pdf

Mathieu Salzmann, Thomas Wollmann, Johannes Otterbach, 2021, ArXiv.

Counting People by Estimating People Flows

Pascal Fua, Mathieu Salzmann, Weizhe Liu, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

An Analysis of Super-Net Heuristics in Weight-Sharing NAS

Mathieu Salzmann, Rene Ranftl, Kaicheng Yu, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Estimating Image Depth in the Comics Domain pdf

Sabine Süsstrunk, Martin Everaert, Mathieu Salzmann, 2021, ArXiv.

Generating Smooth Pose Sequences for Diverse Human Motion Prediction pdf

Mathieu Salzmann, Miaomiao Liu, Wei Mao, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Wide-Depth-Range 6D Object Pose Estimation in Space

Pascal Fua, Wenzel Jakob, Mathieu Salzmann, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Attention-based domain adaptation for single-stage detectors pdf

Mathieu Salzmann, Vidit, M. Salzmann, 2021, Machine Vision and Applications.

Robust Differentiable SVD

Pascal Fua, Mathieu Salzmann, Wei Wang, 2021, IEEE transactions on pattern analysis and machine intelligence.

Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases pdf

Pascal Fua, Siddhartha Chaudhuri, Noam Aigerman, 2021, arXiv.org.

Dyadic Human Motion Prediction pdf

Pascal Fua, Mathieu Salzmann, Isinsu Katircioglu, 2021, ArXiv.

Least-Squares Minimization Under Constraints

Pascal Fua, Raquel Urtasun, Mathieu Salzmann, 2010 .

Capturing 3D stretchable surfaces from single images in closed form

Vincent Lepetit, Francesc Moreno-Noguer, Pascal Fua, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Dictionary Learning on Grassmann Manifolds

Mehrtash Harandi, Jochen Trumpf, Mathieu Salzmann, 2016 .