Mathieu Salzmann

According to our database1, Mathieu Salzmann authored at least 157 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images.
IEEE Trans. Med. Imaging, 2020

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures.
Medical Image Anal., 2020

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems.
CoRR, 2020

ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking.
CoRR, 2020

How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS.
CoRR, 2020

Evaluating The Search Phase of Neural Architecture Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

Domain Adaptive Multibranch Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials.
SIAM J. Imaging Sciences, 2019

Beyond Sharing Weights for Deep Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Memory Efficient Max Flow for Multi-Label Submodular MRFs.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture.
CoRR, 2019

Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior.
CoRR, 2019

On Certifying Robust Models by Polyhedral Envelope.
CoRR, 2019

Indirect Local Attacks for Context-aware Semantic Segmentation Networks.
CoRR, 2019

Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting.
CoRR, 2019

Shape Reconstruction by Learning Differentiable Surface Representations.
CoRR, 2019

Estimating People Flows to Better Count them in Crowded Scenes.
CoRR, 2019

Single-Stage 6D Object Pose Estimation.
CoRR, 2019

Learning Variations in Human Motion via Mix-and-Match Perturbation.
CoRR, 2019

Self-supervised Training of Proposal-based Segmentation via Background Prediction.
CoRR, 2019

Interpretable BoW Networks for Adversarial Example Detection.
CoRR, 2019

Backpropagation-Friendly Eigendecomposition.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Overcoming Multi-model Forgetting.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Factorized Representations for Open-Set Domain Adaptation.
Proceedings of the 7th International Conference on Learning Representations, 2019

Field Typing for Improved Recognition on Heterogeneous Handwritten Forms.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Learning Trajectory Dependencies for Human Motion Prediction.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Detecting the Unexpected via Image Resynthesis.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Recurrent U-Net for Resource-Constrained Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Neural Scene Decomposition for Multi-Person Motion Capture.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Context-Aware Crowd Counting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Segmentation-Driven 6D Object Pose Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Learning Latent Representations of 3D Human Pose with Deep Neural Networks.
Int. J. Comput. Vis., 2018

Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation.
CoRR, 2018

Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation.
CoRR, 2018

ExpandNets: Exploiting Linear Redundancy to Train Small Networks.
CoRR, 2018

VIENA2: A Driving Anticipation Dataset.
CoRR, 2018

Learning Shape-from-Shading for Deformable Surfaces.
CoRR, 2018

Geometric and Physical Constraints for Head Plane Crowd Density Estimation in Videos.
CoRR, 2018

Learning to Segment 3D Linear Structures Using Only 2D Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A domain-adaptive two-stream U-Net for electron microscopy image segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Statistically-Motivated Second-Order Pooling.
Proceedings of the Computer Vision - ECCV 2018, 2018

Effective Use of Synthetic Data for Urban Scene Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses.
Proceedings of the Computer Vision - ECCV 2018, 2018

Learning to Find Good Correspondences.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Residual Parameter Transfer for Deep Domain Adaptation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Monocular 3D Human Pose Estimation From Multi-View Images.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Geometry-Aware Deep Network for Single-Image Novel View Synthesis.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Attentional Structured Representation Learning for Visual Recognition.
Proceedings of the British Machine Vision Conference 2018, 2018

VIENA ^2 : A Driving Anticipation Dataset.
Proceedings of the Computer Vision - ACCV 2018, 2018

3D Box Proposals From a Single Monocular Image of an Indoor Scene.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning to Reconstruct Texture-Less Deformable Surfaces from a Single View.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2017
Learning Domain Invariant Embeddings by Matching Distributions.
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Soft Correspondences in Multimodal Scene Parsing.
CoRR, 2017

Second-order Convolutional Neural Networks.
CoRR, 2017

Imposing Hard Constraints on Deep Networks: Promises and Limitations.
CoRR, 2017

Low-Rank Kernel Subspace Clustering.
CoRR, 2017

Deep Subspace Clustering Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Compression-aware Training of Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Joint Dimensionality Reduction and Metric Learning: A Geometric Take.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Encouraging LSTMs to Anticipate Actions Very Early.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Boundary-Aware Instance Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Efficient Linear Programming for Dense CRFs.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Efficient Model-Free Anthropometry from Depth Data.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Exploiting Large Image Sets for Road Scene Parsing.
IEEE Trans. Intell. Transp. Syst., 2016

Distribution-Matching Embedding for Visual Domain Adaptation.
J. Mach. Learn. Res., 2016

Semantic labeling for prosthetic vision.
Comput. Vis. Image Underst., 2016

Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation.
CoRR, 2016

Semantic-Aware Depth Super-Resolution in Outdoor Scenes.
CoRR, 2016

Shape-aware Instance Segmentation.
CoRR, 2016

Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation.
CoRR, 2016

Efficient transductive semantic segmentation.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Learning the Number of Neurons in Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Scalable Unsupervised Domain Adaptation for Electron Microscopy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Segmentation of developing human embryo in time-lapse microscopy.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Template-Free 3D Reconstruction of Poorly-Textured Nonrigid Surfaces.
Proceedings of the Computer Vision - ECCV 2016, 2016

Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2016, 2016

Building Scene Models by Completing and Hallucinating Depth and Semantics.
Proceedings of the Computer Vision - ECCV 2016, 2016

Deep Convolutional Neural Networks for Human Embryonic Cell Counting.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Robust Multi-Body Feature Tracker: A Segmentation-Free Approach.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning to Co-Generate Object Proposals with a Deep Structured Network.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

When VLAD Met Hilbert.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Structured Prediction of 3D Human Pose with Deep Neural Networks.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Mirror Surface Reconstruction from a Single Image.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Structured Depth Prediction in Challenging Monocular Video Sequences.
CoRR, 2015

A Multi-modal Graphical Model for Scene Analysis.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

A Linear Chain Markov Model for Detection and Localization of Cells in Early Stage Embryo Development.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Efficient scene parsing by sampling unary potentials in a fully-connected CRF.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Automated monitoring of human embryonic cells up to the 5-cell stage in time-lapse microscopy images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Deformable 3D Fusion: From Partial Dynamic 3D Observations to Complete 4D Models.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Cutting Edge: Soft Correspondences in Multimodal Scene Parsing.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Structural Kernel Learning for Large Scale Multiclass Object Co-detection.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Indoor scene structure analysis for single image depth estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Riemannian coding and dictionary learning: Kernels to the rescue.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Iteratively reweighted graph cut for multi-label MRFs with non-convex priors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Discriminative Non-Linear Stationary Subspace Analysis for Video Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Kernel Coding: General Formulation and Special Cases.
CoRR, 2014

Efficient dense subspace clustering.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Data-driven road detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Large-scale semantic co-labeling of image sets.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Null space clustering with applications to motion segmentation and face clustering.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Nonrigid Surface Registration and Completion from RGBD Images.
Proceedings of the Computer Vision - ECCV 2014, 2014

Non-associative Higher-Order Markov Networks for Point Cloud Classification.
Proceedings of the Computer Vision - ECCV 2014, 2014

Robust Motion Segmentation with Unknown Correspondences.
Proceedings of the Computer Vision - ECCV 2014, 2014

Object Co-detection via Efficient Inference in a Fully-Connected CRF.
Proceedings of the Computer Vision - ECCV 2014, 2014

Expanding the Family of Grassmannian Kernels: An Embedding Perspective.
Proceedings of the Computer Vision - ECCV 2014, 2014

From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices.
Proceedings of the Computer Vision - ECCV 2014, 2014

Discrete-Continuous Depth Estimation from a Single Image.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Optimizing over Radial Kernels on Compact Manifolds.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Bregman Divergences for Infinite Dimensional Covariance Matrices.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Domain Adaptation on the Statistical Manifold.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Learning appearance models for road detection.
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Non-Linear Stationary Subspace Analysis with Application to Video Classification.
Proceedings of the 30th International Conference on Machine Learning, 2013

Real-time keystone correction for hand-held projectors with an RGBD camera.
Proceedings of the IEEE International Conference on Image Processing, 2013

A Framework for Shape Analysis via Hilbert Space Embedding.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Unsupervised Domain Adaptation by Domain Invariant Projection.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition.
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Continuous Inference in Graphical Models with Polynomial Energies.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Monocular 3D Reconstruction of Locally Textured Surfaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

A Family of MCMC Methods on Implicitly Defined Manifolds.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction.
Proceedings of the Computer Vision - ECCV 2012, 2012

A constrained latent variable model.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Linear Local Models for Monocular Reconstruction of Deformable Surfaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Physically-based motion models for 3D tracking: A convex formulation.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Learning cross-modality similarity for multinomial data.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Deformable Surface 3D Reconstruction from Monocular Images
Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers, 2010

Factorized Orthogonal Latent Spaces.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Factorized Latent Spaces with Structured Sparsity.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Learning to Recognize Objects from Unseen Modalities.
Proceedings of the Computer Vision, 2010

Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Template-free monocular reconstruction of deformable surfaces.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Reconstructing sharply folding surfaces: A convex formulation.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Capturing 3D stretchable surfaces from single images in closed form.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Observable subspaces for 3D human motion recovery.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Closed-Form Solution to Non-rigid 3D Surface Registration.
Proceedings of the Computer Vision, 2008

Local deformation models for monocular 3D shape recovery.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

3D pose refinement from reflections.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Surface Deformation Models for Nonrigid 3D Shape Recovery.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Implicit Meshes for Effective Silhouette Handling.
Int. J. Comput. Vis., 2007

Convex Optimization for Deformable Surface 3-D Tracking.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Deformable Surface Tracking Ambiguities.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2005
Implicit Surfaces Make for Better Silhouettes.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005


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