← Authors

Mathieu Salzmann

135 papers · 2010–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (10) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (16) πŸ—ΊοΈ Taxonomy Completionist (13) 🏠 Conference Loyalist (25) 🌟 Keyword Trendsetter Combo (5) πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (27) πŸ‘₯ Mega-Team (20) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (31) 🧬 Topic Evolution πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (470) ⚑ Prolific Year (12) πŸ’Ž Century Club (135) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (15) ❓ The Questioner πŸš€ Conference Pioneer

Conferences

CVPR (56) ICCV (25) ECCV (15) NIPS (14) ICLR (8) ICML (7) WACV (4) AAAI (2) AISTATS (2) JMLR (2)

Top co-authors

Pascal Fua (27) Tong Zhang (14) Yinlin Hu (14) Sabine SΓΌsstrunk (13) miaomiao Liu (11) Mehrtash Harandi (10) Mahsa Baktashmotlagh (9) Zheng Dang (8) Xuming He (8) Hongdong Li (8)

Keywords

pose estimation (11) object detection (10) semantic segmentation (9) neural network (9) 3d reconstruction (9) domain adaptation (9) object pose estimation (9) 6d pose estimation (7) model compression (7) self-supervised learning (6) kernel methods (6) point cloud (6) riemannian manifold (5) 3d vision (5) depth estimation (4) surface reconstruction (4) neural network optimization (4) knowledge distillation (4) instance segmentation (4) scene understanding (4)

Papers

FastPose-ViT: A Vision Transformer for Real-Time Spacecraft Pose Estimation WACV 2026
Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera AAAI 2025
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control CVPR 2025
Demystifying Singular Defects in Large Language Models ICML 2025
QT-DoG: Quantization-Aware Training for Domain Generalization ICML 2025
MotionMap: Representing Multimodality in Human Pose Forecasting CVPR 2025
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis ICCV 2025
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression ICLR 2025
Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds ICLR 2025
GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence CVPR 2024
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training JMLR 2024
TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression ICML 2024
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts NIPS 2024
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation ICLR 2024
Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning ICLR 2024
Neural SDF Flow for 3D Reconstruction of Dynamic Scenes ICLR 2024
Source-Free Domain-Invariant Performance Prediction ECCV 2024
Data Augmentation via Latent Diffusion for Saliency Prediction ECCV 2024
3D Single-object Tracking in Point Clouds with High Temporal Variation ECCV 2024
SINDER: Repairing the Singular Defects of DINOv2 ECCV 2024
CLOAF: CoLlisiOn-Aware Human Flow CVPR 2024
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses CVPR 2024
NOPE: Novel Object Pose Estimation from a Single Image CVPR 2024
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange CVPR 2024
HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields CVPR 2024
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions CVPR 2023
Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild CVPR 2023
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction CVPR 2023
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation NIPS 2023
Robust Outlier Rejection for 3D Registration With Variational Bayes CVPR 2023
Learning Transformations To Reduce the Geometric Shift in Object Detection CVPR 2023
Center-Aware Adversarial Augmentation for Single Domain Generalization WACV 2023
CLIP the Gap: A Single Domain Generalization Approach for Object Detection CVPR 2023
DrapeNet: Garment Generation and Self-Supervised Draping CVPR 2023
Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks ICML 2023
Vision Transformer Adapters for Generalizable Multitask Learning ICCV 2023
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation ICCV 2023
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration ICCV 2023
Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation ICCV 2023
MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency ICCV 2023
Rigidity-Aware Detection for 6D Object Pose Estimation CVPR 2023
Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects ECCV 2022
Robust Binary Models by Pruning Randomly-initialized Networks NIPS 2022
Contact-aware Human Motion Forecasting NIPS 2022
MulT: An End-to-End Multitask Learning Transformer CVPR 2022
Weakly-Supervised Action Transition Learning for Stochastic Human Motion Prediction CVPR 2022
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions CVPR 2022
Adversarial Parametric Pose Prior CVPR 2022
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy CVPR 2022
Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World ECCV 2022
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation ECCV 2022
Estimating Image Depth in the Comics Domain WACV 2022
Learning To Generate the Unknowns as a Remedy to the Open-Set Domain Shift WACV 2022
Generating Smooth Pose Sequences for Diverse Human Motion Prediction ICCV 2021
Progressive Correspondence Pruning by Consensus Learning ICCV 2021
Contextually Plausible and Diverse 3D Human Motion Prediction ICCV 2021
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases ICCV 2021
PCLs: Geometry-Aware Neural Reconstruction of 3D Pose With Perspective Crop Layers CVPR 2021
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search CVPR 2021
Wide-Depth-Range 6D Object Pose Estimation in Space CVPR 2021
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking CVPR 2021
Distilling Image Classifiers in Object Detectors NIPS 2021
Learning Transferable Adversarial Perturbations NIPS 2021
SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation AAAI 2021
Human Detection and Segmentation via Multi-View Consensus ICCV 2021
Evaluating The Search Phase of Neural Architecture Search ICLR 2020
Domain Adaptive Multibranch Networks ICLR 2020
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction CVPR 2020
DUNIT: Detection-Based Unsupervised Image-to-Image Translation CVPR 2020
Single-Stage 6D Object Pose Estimation CVPR 2020
Shape Reconstruction by Learning Differentiable Surface Representations CVPR 2020
ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture CVPR 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them NIPS 2020
Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings CVPR 2020
Indirect Local Attacks for Context-aware Semantic Segmentation Networks ECCV 2020
History Repeats Itself: Human Motion Prediction via Motion Attention ECCV 2020
Estimating People Flows to Better Count Them in Crowded Scenes ECCV 2020
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks NIPS 2020
Volumetric Transformer Networks ECCV 2020
Segmentation-Driven 6D Object Pose Estimation CVPR 2019
Backpropagation-Friendly Eigendecomposition NIPS 2019
Learning Trajectory Dependencies for Human Motion Prediction ICCV 2019
GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping ICCV 2019
Overcoming Multi-model Forgetting ICML 2019
LEARNING FACTORIZED REPRESENTATIONS FOR OPEN-SET DOMAIN ADAPTATION ICLR 2019
Detecting the Unexpected via Image Resynthesis ICCV 2019
Neural Scene Decomposition for Multi-Person Motion Capture CVPR 2019
Context-Aware Crowd Counting CVPR 2019
Recurrent U-Net for Resource-Constrained Segmentation ICCV 2019
Geometry-Aware Deep Network for Single-Image Novel View Synthesis CVPR 2018
Learning Monocular 3D Human Pose Estimation From Multi-View Images CVPR 2018
Residual Parameter Transfer for Deep Domain Adaptation CVPR 2018
Learning to Find Good Correspondences CVPR 2018
Statistically-motivated Second-order Pooling ECCV 2018
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation ECCV 2018
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation ECCV 2018
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses ECCV 2018
Bringing Background Into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation ICCV 2017
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation ICCV 2017
Encouraging LSTMs to Anticipate Actions Very Early ICCV 2017
Joint Dimensionality Reduction and Metric Learning: A Geometric Take ICML 2017
Efficient Linear Programming for Dense CRFs CVPR 2017
Indoor Scene Parsing With Instance Segmentation, Semantic Labeling and Support Relationship Inference CVPR 2017
Boundary-Aware Instance Segmentation CVPR 2017
Compression-aware Training of Deep Networks NIPS 2017
Deep Subspace Clustering Networks NIPS 2017
Learning to Co-Generate Object Proposals With a Deep Structured Network CVPR 2016
Robust Multi-Body Feature Tracker: A Segmentation-Free Approach CVPR 2016
When VLAD Met Hilbert CVPR 2016
Memory Efficient Max Flow for Multi-Label Submodular MRFs CVPR 2016
Learning the Number of Neurons in Deep Networks NIPS 2016
Distribution-Matching Embedding for Visual Domain Adaptation JMLR 2016
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering CVPR 2016
Indoor Scene Structure Analysis for Single Image Depth Estimation CVPR 2015
Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering With Corrupted and Incomplete Data ICCV 2015
Riemannian Coding and Dictionary Learning: Kernels to the Rescue CVPR 2015
Iteratively Reweighted Graph Cut for Multi-Label MRFs With Non-Convex Priors CVPR 2015
Cutting Edge: Soft Correspondences in Multimodal Scene Parsing ICCV 2015
Deformable 3D Fusion: From Partial Dynamic 3D Observations to Complete 4D Models ICCV 2015
Structural Kernel Learning for Large Scale Multiclass Object Co-Detection ICCV 2015
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs ICCV 2015
Domain Adaptation on the Statistical Manifold CVPR 2014
Discrete-Continuous Depth Estimation from a Single Image CVPR 2014
Optimizing Over Radial Kernels on Compact Manifolds CVPR 2014
Bregman Divergences for Infinite Dimensional Covariance Matrices CVPR 2014
Unsupervised Domain Adaptation by Domain Invariant Projection ICCV 2013
Continuous Inference in Graphical Models with Polynomial Energies CVPR 2013
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices CVPR 2013
Mirror Surface Reconstruction from a Single Image CVPR 2013
Non-Linear Stationary Subspace Analysis with Application to Video Classification ICML 2013
A Framework for Shape Analysis via Hilbert Space Embedding ICCV 2013
A Family of MCMC Methods on Implicitly Defined Manifolds AISTATS 2012
Factorized Latent Spaces with Structured Sparsity NIPS 2010
Factorized Orthogonal Latent Spaces AISTATS 2010
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation NIPS 2010