Mathieu Salzmann

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 300

Top Venues

CoRR

CVPR

ICCV

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua
Using Motion Cues to Supervise Single-frame Body Pose & Shape Estimation in Low Data Regimes. Trans. Mach. Learn. Res. 2024 (2024)
Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann
Detecting Road Obstacles by Erasing Them. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Baran Ozaydin, Tong Zhang, Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann
OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation. CoRR (2024)
Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses. CoRR (2024)
Chen Zhao, Yinlin Hu, Mathieu Salzmann
LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation. 3DV (2024)
Sina Honari, Chen Zhao, Mathieu Salzmann, Pascal Fua
Unsupervised 3D Keypoint Discovery with Multi-View Geometry. 3DV (2024)
Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis
HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields. CoRR (2024)
Shuangqi Li, Chen Liu, Tong Zhang, Hieu Le, Sabine Süsstrunk, Mathieu Salzmann
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density. CoRR (2024)
Congpei Qiu, Tong Zhang, Yanhao Wu, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk
Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning. ICLR (2024)
Théo Gieruc, Marius Kästingschäfer, Sebastian Bernhard, Mathieu Salzmann
6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction. CoRR (2024)
Baran Ozaydin, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann
DSI2I: Dense Style for Unpaired Exemplar-based Image-to- Image Translation. Trans. Mach. Learn. Res. 2024 (2024)
Lingzhi Pan, Tong Zhang, Bingyuan Chen, Qi Zhou, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
Coherent and Multi-modality Image Inpainting via Latent Space Optimization. CoRR (2024)
Haoqi Wang, Tong Zhang, Mathieu Salzmann
SINDER: Repairing the Singular Defects of DINOv2. CoRR (2024)
Zheng Dang, Jialu Huang, Fei Wang, Mathieu Salzmann
OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction. CoRR (2024)
Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua
Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes. CoRR (2024)
Haixin Shi, Yinlin Hu, Daniel Koguciuk, Juan-Ting Lin, Mathieu Salzmann, David Ferstl
Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera. CoRR (2024)
Yanhao Wu, Tong Zhang, Wei Ke, Congpei Qiu, Sabine Süsstrunk, Mathieu Salzmann
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange. CoRR (2024)
Wei Mao, Richard Hartley, Mathieu Salzmann, Miaomiao Liu
Neural SDF Flow for 3D Reconstruction of Dynamic Scenes. ICLR (2024)
Syed Talal Wasim, Romain Collaud, Lara Défayes, Nicolas Henchoz, Mathieu Salzmann, Delphine Ribes Lemay
Toward Automatic Typography Analysis: Serif Classification and Font Similarities. J. Data Min. Digit. Humanit. 2024 (2024)
Chen Zhao, Tong Zhang, Mathieu Salzmann
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation. ICLR (2024)
Andrey Davydov, Martin Engilberge, Mathieu Salzmann, Pascal Fua
CLOAF: CoLlisiOn-Aware Human Flow. CoRR (2024)
Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann
Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Zhi Chen, Yufan Ren, Tong Zhang, Zheng Dang, Wenbing Tao, Sabine Süsstrunk, Mathieu Salzmann
DiffusionPCR: Diffusion Models for Robust Multi-Step Point Cloud Registration. CoRR (2023)
Vidit Vidit, Martin Engilberge, Mathieu Salzmann
CLIP the Gap: A Single Domain Generalization Approach for Object Detection. CVPR (2023)
Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang
Fast Adversarial Training With Adaptive Step Size. IEEE Trans. Image Process. 32 (2023)
Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann
Robust Outlier Rejection for 3D Registration with Variational Bayes. CVPR (2023)
Van Nguyen Nguyen, Thibault Groueix, Yinlin Hu, Mathieu Salzmann, Vincent Lepetit
NOPE: Novel Object Pose Estimation from a Single Image. CoRR (2023)
Shuxuan Guo, Yinlin Hu, Jose M. Alvarez, Mathieu Salzmann
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions. CVPR (2023)
Tianle Chen, Mahsa Baktashmotlagh, Zijian Wang, Mathieu Salzmann
Center-aware Adversarial Augmentation for Single Domain Generalization. WACV (2023)
Krishna Kanth Nakka, Mathieu Salzmann
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation. CoRR (2023)
Qiao Wu, Jiaqi Yang, Kun Sun, Chu'ai Zhang, Yanning Zhang, Mathieu Salzmann
MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency. ICCV (2023)
Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, Pascal Fua
Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Yang Hai, Rui Song, Jiaojiao Li, Mathieu Salzmann, Yinlin Hu
Rigidity-Aware Detection for 6D Object Pose Estimation. CVPR (2023)
Vidit Vidit, Martin Engilberge, Mathieu Salzmann
Learning Transformations to Reduce the Geometric Shift in Object Detection. CVPR (2023)
Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction. CoRR (2023)
Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann
Dense Multitask Learning to Reconfigure Comics. CoRR (2023)
Chen Zhao, Tong Zhang, Mathieu Salzmann
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation. CoRR (2023)
Vidit Vidit, Martin Engilberge, Mathieu Salzmann
Learning Transformations To Reduce the Geometric Shift in Object Detection. CoRR (2023)
Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann
Vision Transformer Adapters for Generalizable Multitask Learning. ICCV (2023)
Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann
Perspective Aware Road Obstacle Detection. IEEE Robotics Autom. Lett. 8 (4) (2023)
Chen Liu, Mathieu Salzmann, Sabine Süsstrunk
Training Provably Robust Models by Polyhedral Envelope Regularization. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation. CoRR (2023)
Yang Hai, Rui Song, Jiaojiao Li, Mathieu Salzmann, Yinlin Hu
Rigidity-Aware Detection for 6D Object Pose Estimation. CoRR (2023)
Zheng Dang, Mathieu Salzmann
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration. CoRR (2023)
Haobo Jiang, Zheng Dang, Shuo Gu, Jin Xie, Mathieu Salzmann, Jian Yang
Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation. ICCV (2023)
Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction. CVPR (2023)
Vidit Vidit, Martin Engilberge, Mathieu Salzmann
CLIP the Gap: A Single Domain Generalization Approach for Object Detection. CoRR (2023)
Megh Shukla, Mathieu Salzmann, Alexandre Alahi
TIC-TAC: A Framework To Learn And Evaluate Your Covariance. CoRR (2023)
Tang Tao, Longfei Gao, Guangrun Wang, Peng Chen, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. CoRR (2023)
Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann
Dense Multitask Learning to Reconfigure Comics. CVPR Workshops (2023)
Fulin Liu, Yinlin Hu, Mathieu Salzmann
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation. ICCV (2023)
Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua
DrapeNet: Garment Generation and Self-Supervised Draping. CVPR (2023)
Saqib Javed, Andrew Price, Yinlin Hu, Mathieu Salzmann
Module-Wise Network Quantization for 6D Object Pose Estimation. CoRR (2023)
Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild. CVPR (2023)
Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann
Vision Transformer Adapters for Generalizable Multitask Learning. CoRR (2023)
Zheng Dang, Mathieu Salzmann
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration. ICCV (2023)
Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
Spatiotemporal Self-supervised Learning for Point Clouds in the Wild. CoRR (2023)
Yulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Süsstrunk
Bounded Adversarial Attacks. ICML (2023)
Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation. NeurIPS (2023)
Qiao Wu, Jiaqi Yang, Kun Sun, Chu'ai Zhang, Yanning Zhang, Mathieu Salzmann
MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency. CoRR (2023)
Van Nguyen Nguyen, Thibault Groueix, Mathieu Salzmann, Vincent Lepetit
GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence. CoRR (2023)
Congpei Qiu, Tong Zhang, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk
De-coupling and De-positioning Dense Self-supervised Learning. CoRR (2023)
Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann
Robust Outlier Rejection for 3D Registration with Variational Bayes. CoRR (2023)
Fulin Liu, Yinlin Hu, Mathieu Salzmann
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation. CoRR (2023)
Krishna Kanth Nakka, Mathieu Salzmann
Universal, Transferable Adversarial Perturbations for Visual Object Trackers. ECCV Workshops (1) (2022)
Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang
Fast Adversarial Training with Adaptive Step Size. CoRR (2022)
Chen Zhao, Yinlin Hu, Mathieu Salzmann
Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects. CoRR (2022)
Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua
Adversarial Parametric Pose Prior. CVPR (2022)
Van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, Vincent Lepetit
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. CVPR (2022)
Wei Mao, Miaomiao Liu, Mathieu Salzmann
Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction. CVPR (2022)
Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. CoRR (2022)
Chen Zhao, Yinlin Hu, Mathieu Salzmann
Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects. ECCV (1) (2022)
Van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, Vincent Lepetit
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. CoRR (2022)
Sena Kiciroglu, Wei Wang, Mathieu Salzmann, Pascal Fua
Long Term Motion Prediction Using Keyposes. 3DV (2022)
Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua
3D Pose Based Feedback for Physical Exercises. ACCV (4) (2022)
Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. CVPR (2022)
Yinlin Hu, Pascal Fua, Mathieu Salzmann
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. CoRR (2022)
Yinlin Hu, Pascal Fua, Mathieu Salzmann
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. ECCV (2) (2022)
Wei Mao, Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann
Contact-aware Human Motion Forecasting. NeurIPS (2022)
Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann
Robust Binary Models by Pruning Randomly-initialized Networks. CoRR (2022)
Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann
MuIT: An End-to-End Multitask Learning Transformer. CVPR (2022)
Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua
GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Wei Mao, Miaomiao Liu, Mathieu Salzmann
Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction. CoRR (2022)
Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann
Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World. CoRR (2022)
Mahsa Baktashmotlagh, Tianle Chen, Mathieu Salzmann
Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift. WACV (2022)
Kaicheng Yu, René Ranftl, Mathieu Salzmann
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk
Estimating Image Depth in the Comics Domain. WACV (2022)
Weizhe Liu, Mathieu Salzmann, Pascal Fua
Counting People by Estimating People Flows. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Baran Ozaydin, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann
DSI2I: Dense Style for Unpaired Image-to-Image Translation. CoRR (2022)
Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann
Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. ECCV (1) (2022)
Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann
MulT: An End-to-End Multitask Learning Transformer. CoRR (2022)
Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua
3D Pose Based Feedback for Physical Exercises. CoRR (2022)
Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua
DrapeNet: Generating Garments and Draping them with Self-Supervision. CoRR (2022)
Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Seungryong Kim, Mathieu Salzmann, Sabine Süsstrunk
Modeling Object Dissimilarity for Deep Saliency Prediction. Trans. Mach. Learn. Res. 2022 (2022)
Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann
Perspective Aware Road Obstacle Detection. CoRR (2022)
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
Robust Differentiable SVD. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Vidit, Mathieu Salzmann
Attention-based domain adaptation for single-stage detectors. Mach. Vis. Appl. 33 (5) (2022)
Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann
Robust Binary Models by Pruning Randomly-initialized Networks. NeurIPS (2022)
Chen Zhao, Yinlin Hu, Mathieu Salzmann
Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation. CoRR (2022)
Wei Mao, Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann
Contact-aware Human Motion Forecasting. CoRR (2022)

Mathieu Salzmann.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mathieu Salzmann