Mathieu Salzmann
Identifiers
- name variant Mathieu Salzmann 0.60 · backfill
Papers (63)
- Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting physics.ao-ph · 2026 · author #14
- LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization cs.LG · 2026 · author #5
- LoRIF: Low-Rank Influence Functions for Scalable Training Data Attribution cs.LG · 2026 · author #4
- Self-supervised Training of Proposal-based Segmentation via Background Prediction cs.CV · 2019 · author #5
- Backpropagation-Friendly Eigendecomposition cs.LG · 2019 · author #5
- Recurrent U-Net for Resource-Constrained Segmentation cs.CV · 2019 · author #5
- Detecting the Unexpected via Image Resynthesis cs.CV · 2019 · author #4
- Neural Scene Decomposition for Multi-Person Motion Capture cs.CV · 2019 · author #4
- Overcoming Multi-Model Forgetting cs.LG · 2019 · author #6
- Interpretable BoW Networks for Adversarial Example Detection cs.CV · 2019 · author #2
- Segmentation-driven 6D Object Pose Estimation cs.CV · 2018 · author #4
- Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation cs.CV · 2018 · author #5
- Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation cs.CV · 2018 · author #3
- Context-Aware Crowd Counting cs.CV · 2018 · author #2
- VIENA2: A Driving Anticipation Dataset cs.CV · 2018 · author #3
- Effective Use of Synthetic Data for Urban Scene Semantic Segmentation cs.CV · 2018 · author #3
- Learning Factorized Representations for Open-set Domain Adaptation cs.CV · 2018 · author #4
- Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials cs.CV · 2018 · author #5
- Deep Attentional Structured Representation Learning for Visual Recognition cs.CV · 2018 · author #2
- Geometry-aware Deep Network for Single-Image Novel View Synthesis cs.CV · 2018 · author #3
- Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation cs.CV · 2018 · author #2
- Learning to Reconstruct Texture-less Deformable Surfaces from a Single View cs.CV · 2018 · author #3
- Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation cs.CV · 2018 · author #3
- Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses cs.CV · 2018 · author #6
- Learning Monocular 3D Human Pose Estimation from Multi-view Images cs.CV · 2018 · author #7
- Statistically Motivated Second Order Pooling cs.CV · 2018 · author #2
- Residual Parameter Transfer for Deep Domain Adaptation cs.CV · 2017 · author #2
- Learning to Find Good Correspondences cs.CV · 2017 · author #5
- Compression-aware Training of Deep Networks cs.CV · 2017 · author #2
- Soft Correspondences in Multimodal Scene Parsing cs.CV · 2017 · author #3
- Deep Subspace Clustering Networks cs.CV · 2017 · author #4
- Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation cs.CV · 2017 · author #3
- Adaptive Low-Rank Kernel Subspace Clustering cs.CV · 2017 · author #5
- Imposing Hard Constraints on Deep Networks: Promises and Limitations cs.CV · 2017 · author #2
- Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation cs.CV · 2017 · author #3
- Encouraging LSTMs to Anticipate Actions Very Early cs.CV · 2017 · author #3
- Second-order Convolutional Neural Networks cs.CV · 2017 · author #2
- Memory Efficient Max Flow for Multi-label Submodular MRFs cs.DS · 2017 · author #3
- Boundary-aware Instance Segmentation cs.CV · 2016 · author #3
- Efficient Linear Programming for Dense CRFs cs.CV · 2016 · author #4
- Learning the Number of Neurons in Deep Networks cs.CV · 2016 · author #2
- Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation cs.CV · 2016 · author #3
- Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation cs.CV · 2016 · author #4
- Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation cs.CV · 2016 · author #3
- Semantic-Aware Depth Super-Resolution in Outdoor Scenes cs.CV · 2016 · author #2
- Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods cs.CV · 2016 · author #2
- Structured Prediction of 3D Human Pose with Deep Neural Networks cs.CV · 2016 · author #3
- Beyond Sharing Weights for Deep Domain Adaptation cs.CV · 2016 · author #2
- Robust Multi-body Feature Tracker: A Segmentation-free Approach cs.CV · 2016 · author #3
- Structured Depth Prediction in Challenging Monocular Video Sequences cs.CV · 2015 · author #2
- Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering cs.CV · 2015 · author #3
- Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data cs.CV · 2015 · author #2
- Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs cs.CV · 2015 · author #2
- When VLAD met Hilbert cs.CV · 2015 · author #2
- Optimizing Over Radial Kernels on Compact Manifolds cs.CV · 2014 · author #3
- A Framework for Shape Analysis via Hilbert Space Embedding cs.CV · 2014 · author #2
- Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices cs.CV · 2014 · author #3
- Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels cs.CV · 2014 · author #3
- Iteratively Reweighted Graph Cut for Multi-label MRFs with Non-convex Priors cs.CV · 2014 · author #3
- Kernel Coding: General Formulation and Special Cases cs.CV · 2014 · author #2
- Expanding the Family of Grassmannian Kernels: An Embedding Perspective cs.CV · 2014 · author #2
- From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices cs.CV · 2014 · author #2
- Bregman Divergences for Infinite Dimensional Covariance Matrices cs.CV · 2014 · author #2
Mentions
- 1412.4175 #3 · backfill · confidence 0.70 Mathieu Salzmann
- 1412.4174 #2 · backfill · confidence 0.70 Mathieu Salzmann
- 1412.4172 #3 · backfill · confidence 0.70 Mathieu Salzmann
- 1412.0265 #3 · backfill · confidence 0.70 Mathieu Salzmann
- 1411.6340 #3 · backfill · confidence 0.70 Mathieu Salzmann
- 1409.0084 #2 · backfill · confidence 0.70 Mathieu Salzmann
- 1407.1123 #2 · backfill · confidence 0.70 Mathieu Salzmann
- 1407.1120 #2 · backfill · confidence 0.70 Mathieu Salzmann
- 1403.4334 #2 · backfill · confidence 0.70 Mathieu Salzmann
Frequent Coauthors
- Pascal Fua 20 shared papers
- Hongdong Li 10 shared papers
- Lars Petersson 9 shared papers
- Mehrtash Harandi 9 shared papers
- Richard Hartley 8 shared papers
- Mohammad Sadegh Aliakbarian 6 shared papers
- Fatemeh Sadat Saleh 5 shared papers
- Jose M. Alvarez 5 shared papers
- Kaicheng Yu 5 shared papers
- Sadeep Jayasumana 5 shared papers
- Helge Rhodin 4 shared papers
- Isinsu Katircioglu 4 shared papers
- Pan Ji 4 shared papers
- Thalaiyasingam Ajanthan 4 shared papers
- Xuming He 4 shared papers
- Basura Fernando 3 shared papers
- Joachim Hugonot 3 shared papers
- Lars Andersson 3 shared papers
- Miaomiao Liu 3 shared papers
- Victor Constantin 3 shared papers