Mathieu Salzmann

According to our database, Mathieu Salzmann authored at least 288 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Closed-Form, Pairwise Solution to Local Non-Rigid Structure-From-Motion.

Shaifali Parashar, Yuxuan Long, Mathieu Salzmann, Pascal Fua

IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.

Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

Detecting Road Obstacles by Erasing Them.

Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

DSI2I: Dense Style for Unpaired Exemplar-based Image-to- Image Translation.

Baran Ozaydin, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann

Trans. Mach. Learn. Res., 2024

Using Motion Cues to Supervise Single-frame Body Pose & Shape Estimation in Low Data Regimes.

Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua

Trans. Mach. Learn. Res., 2024

Toward Automatic Typography Analysis: Serif Classification and Font Similarities.

Syed Talal Wasim, Romain Collaud, Lara Défayes, Nicolas Henchoz, Mathieu Salzmann, Delphine Ribes Lemay

J. Data Min. Digit. Humanit., 2024

Diffusion-based Speech Enhancement with Schrödinger Bridge and Symmetric Noise Schedule.

Siyi Wang, Siyi Liu, Andrew Harper, Paul Kendrick, Mathieu Salzmann, Milos Cernak

CoRR, 2024

Hybrid diffusion models: combining supervised and generative pretraining for label-efficient fine-tuning of segmentation models.

Bruno Sauvalle, Mathieu Salzmann

CoRR, 2024

Source-Free Domain-Invariant Performance Prediction.

Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon, Xi Wang, Mathieu Salzmann

CoRR, 2024

Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density.

Shuangqi Li, Chen Liu, Tong Zhang, Hieu Le, Sabine Süsstrunk, Mathieu Salzmann

CoRR, 2024

Coherent and Multi-modality Image Inpainting via Latent Space Optimization.

Lingzhi Pan, Tong Zhang, Bingyuan Chen, Qi Zhou, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann

CoRR, 2024

OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction.

Zheng Dang, Jialu Huang, Fei Wang, Mathieu Salzmann

CoRR, 2024

Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera.

Haixin Shi, Yinlin Hu, Daniel Koguciuk, Juan-Ting Lin, Mathieu Salzmann, David Ferstl

CoRR, 2024

6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction.

Théo Gieruc, Marius Kästingschäfer, Sebastian Bernhard, Mathieu Salzmann

CoRR, 2024

OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation.

Baran Ozaydin, Tong Zhang, Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann

CoRR, 2024

Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes.

Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua

CoRR, 2024

TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression.

Megh Shukla, Mathieu Salzmann, Alexandre Alahi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation.

Chen Zhao, Tong Zhang, Mathieu Salzmann

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning.

Congpei Qiu, Tong Zhang, Yanhao Wu, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural SDF Flow for 3D Reconstruction of Dynamic Scenes.

Wei Mao, Richard Hartley, Mathieu Salzmann, Miaomiao Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

3D Single-Object Tracking in Point Clouds with High Temporal Variation.

Qiao Wu, Kun Sun, Pei An, Mathieu Salzmann, Yanning Zhang, Jiaqi Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

SINDER: Repairing the Singular Defects of DINOv2.

Haoqi Wang, Tong Zhang, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2024, 2024

Data Augmentation via Latent Diffusion for Saliency Prediction.

Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk

Proceedings of the Computer Vision - ECCV 2024, 2024

DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses.

Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning Through Object Exchange.

Yanhao Wu, Tong Zhang, Wei Ke, Congpei Qiu, Sabine Süsstrunk, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields.

Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence.

Van Nguyen Nguyen, Thibault Groueix, Mathieu Salzmann, Vincent Lepetit

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NOPE: Novel Object Pose Estimation from a Single Image.

Van Nguyen Nguyen, Thibault Groueix, Georgy Ponimatkin, Yinlin Hu, Renaud Marlet, Mathieu Salzmann, Vincent Lepetit

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CLOAF: CoLlisiOn-Aware Human Flow.

Andrey Davydov, Martin Engilberge, Mathieu Salzmann, Pascal Fua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation.

Chen Zhao, Yinlin Hu, Mathieu Salzmann

Proceedings of the International Conference on 3D Vision, 2024

Unsupervised 3D Keypoint Discovery with Multi-View Geometry.

Sina Honari, Chen Zhao, Mathieu Salzmann, Pascal Fua

Proceedings of the International Conference on 3D Vision, 2024

2023

Training Provably Robust Models by Polyhedral Envelope Regularization.

Chen Liu, Mathieu Salzmann, Sabine Süsstrunk

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation.

Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, Pascal Fua

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Perspective Aware Road Obstacle Detection.

Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann

IEEE Robotics Autom. Lett., April, 2023

Fast Adversarial Training With Adaptive Step Size.

Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang

IEEE Trans. Image Process., 2023

DiffusionPCR: Diffusion Models for Robust Multi-Step Point Cloud Registration.

Zhi Chen, Yufan Ren, Tong Zhang, Zheng Dang, Wenbing Tao, Sabine Süsstrunk, Mathieu Salzmann

CoRR, 2023

TIC-TAC: A Framework To Learn And Evaluate Your Covariance.

Megh Shukla, Mathieu Salzmann, Alexandre Alahi

CoRR, 2023

Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation.

Krishna Kanth Nakka, Mathieu Salzmann

CoRR, 2023

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields.

Tang Tao, Longfei Gao, Guangrun Wang, Peng Chen, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu

CoRR, 2023

De-coupling and De-positioning Dense Self-supervised Learning.

Congpei Qiu, Tong Zhang, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk

CoRR, 2023

NOPE: Novel Object Pose Estimation from a Single Image.

Van Nguyen Nguyen, Thibault Groueix, Yinlin Hu, Mathieu Salzmann, Vincent Lepetit

CoRR, 2023

Module-Wise Network Quantization for 6D Object Pose Estimation.

Saqib Javed, Andrew Price, Yinlin Hu, Mathieu Salzmann

CoRR, 2023

Center-aware Adversarial Augmentation for Single Domain Generalization.

Tianle Chen, Mahsa Baktashmotlagh, Zijian Wang, Mathieu Salzmann

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation.

Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Stable and Efficient Adversarial Training against l₁ Bounded Adversarial Attacks.

Yulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Süsstrunk

Proceedings of the International Conference on Machine Learning, 2023

MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency.

Qiao Wu, Jiaqi Yang, Kun Sun, Chu'ai Zhang, Yanning Zhang, Mathieu Salzmann

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation.

Fulin Liu, Yinlin Hu, Mathieu Salzmann

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation.

Haobo Jiang, Zheng Dang, Shuo Gu, Jin Xie, Mathieu Salzmann, Jian Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration.

Zheng Dang, Mathieu Salzmann

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Vision Transformer Adapters for Generalizable Multitask Learning.

Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild.

Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Transformations to Reduce the Geometric Shift in Object Detection.

Vidit Vidit, Martin Engilberge, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CLIP the Gap: A Single Domain Generalization Approach for Object Detection.

Vidit Vidit, Martin Engilberge, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DrapeNet: Garment Generation and Self-Supervised Draping.

Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robust Outlier Rejection for 3D Registration with Variational Bayes.

Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Rigidity-Aware Detection for 6D Object Pose Estimation.

Yang Hai, Rui Song, Jiaojiao Li, Mathieu Salzmann, Yinlin Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions.

Shuxuan Guo, Yinlin Hu, Jose M. Alvarez, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Dense Multitask Learning to Reconfigure Comics.

Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TempSAL - Uncovering Temporal Information for Deep Saliency Prediction.

Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Modeling Object Dissimilarity for Deep Saliency Prediction.

Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Seungryong Kim, Mathieu Salzmann, Sabine Süsstrunk

Trans. Mach. Learn. Res., 2022

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

Kaicheng Yu, René Ranftl, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Robust Differentiable SVD.

Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Counting People by Estimating People Flows.

Weizhe Liu, Mathieu Salzmann, Pascal Fua

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Self-Supervised Human Detection and Segmentation via Background Inpainting.

Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua

IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Attention-based domain adaptation for single-stage detectors.

Vidit Vidit, Mathieu Salzmann

Mach. Vis. Appl., 2022

AttEntropy: Segmenting Unknown Objects in Complex Scenes using the Spatial Attention Entropy of Semantic Segmentation Transformers.

Krzysztof Lis, Matthias Rottmann, Sina Honari, Pascal Fua, Mathieu Salzmann

CoRR, 2022

DSI2I: Dense Style for Unpaired Image-to-Image Translation.

Baran Ozaydin, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann

CoRR, 2022

Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation.

Chen Zhao, Yinlin Hu, Mathieu Salzmann

CoRR, 2022

DrapeNet: Generating Garments and Draping them with Self-Supervision.

Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua

CoRR, 2022

Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment.

Shuxuan Guo, Yinlin Hu, Jose M. Alvarez, Mathieu Salzmann

CoRR, 2022

MulT: An End-to-End Multitask Learning Transformer.

Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann

CoRR, 2022

Estimating Image Depth in the Comics Domain.

Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift.

Mahsa Baktashmotlagh, Tianle Chen, Mathieu Salzmann

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Robust Binary Models by Pruning Randomly-initialized Networks.

Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contact-aware Human Motion Forecasting.

Wei Mao, Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contrastive Class-aware Adaptation for Domain Generalization.

Tianle Chen, Mahsa Baktashmotlagh, Mathieu Salzmann

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects.

Chen Zhao, Yinlin Hu, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2022, 2022

Universal, Transferable Adversarial Perturbations for Visual Object Trackers.

Krishna Kanth Nakka, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation.

Yinlin Hu, Pascal Fua, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.

Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2022, 2022

Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy.

Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions.

Van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, Vincent Lepetit

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Adversarial Parametric Pose Prior.

Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MuIT: An End-to-End Multitask Learning Transformer.

Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction.

Wei Mao, Miaomiao Liu, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

3D Pose Based Feedback for Physical Exercises.

Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua

Proceedings of the Computer Vision - ACCV 2022, 2022

Long Term Motion Prediction Using Keyposes.

Sena Kiciroglu, Wei Wang, Mathieu Salzmann, Pascal Fua

Proceedings of the International Conference on 3D Vision, 2022

2021

Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification.

Siyuan Hao, Wei Wang, Mathieu Salzmann

IEEE Trans. Geosci. Remote. Sens., 2021

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

Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Multi-level Motion Attention for Human Motion Prediction.

Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li

Int. J. Comput. Vis., 2021

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

Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk

CoRR, 2021

Dyadic Human Motion Prediction.

Isinsu Katircioglu, Costa Georgantas, Mathieu Salzmann, Pascal Fua

CoRR, 2021

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

Zheng Dang, Lizhou Wang, Junning Qiu, Minglei Lu, Mathieu Salzmann

CoRR, 2021

Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases.

Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua

CoRR, 2021

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

Samuel von Baußnern, Johannes S. Otterbach, Adrian Loy, Mathieu Salzmann, Thomas Wollmann

CoRR, 2021

Learning Transferable Adversarial Perturbations.

Krishna Kanth Nakka, Mathieu Salzmann

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Distilling Image Classifiers in Object Detectors.

Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation.

Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Pascal Fua, Mathieu Salzmann, Matthias Rottmann

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Progressive Correspondence Pruning by Consensus Learning.

Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generating Smooth Pose Sequences for Diverse Human Motion Prediction.

Wei Mao, Miaomiao Liu, Mathieu Salzmann

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Human Detection and Segmentation via Multi-view Consensus.

Isinsu Katircioglu, Helge Rhodin, Jörg Spörri, Mathieu Salzmann, Pascal Fua

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases.

Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Contextually Plausible and Diverse 3D Human Motion Prediction.

Sadegh Aliakbarian, Fatemeh Sadat Saleh, Lars Petersson, Stephen Gould, Mathieu Salzmann

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

PCLs: Geometry-Aware Neural Reconstruction of 3D Pose With Perspective Crop Layers.

Frank Yu, Mathieu Salzmann, Pascal Fua, Helge Rhodin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Kaicheng Yu, René Ranftl, Mathieu Salzmann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking.

Fatemeh Sadat Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images.

Róger Bermúdez-Chacón, Okan Altingövde, Carlos J. Becker, Mathieu Salzmann, Pascal Fua

IEEE Trans. Medical Imaging, 2020

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures.

Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua

Medical Image Anal., 2020

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

Krishna Kanth Nakka, Mathieu Salzmann

CoRR, 2020

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

Mengshi Qi, Edoardo Remelli, Mathieu Salzmann, Pascal Fua

CoRR, 2020

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

Isinsu Katircioglu, Helge Rhodin, Jörg Spörri, Mathieu Salzmann, Pascal Fua

CoRR, 2020

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

Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, Pascal Fua

CoRR, 2020

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

Shaifali Parashar, Yuxuan Long, Mathieu Salzmann, Pascal Fua

CoRR, 2020

3D Registration for Self-Occluded Objects in Context.

Zheng Dang, Fei Wang, Mathieu Salzmann

CoRR, 2020

Self-supervised Segmentation via Background Inpainting.

Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua

CoRR, 2020

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

Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji

CoRR, 2020

GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss.

Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua

CoRR, 2020

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

Zheng Dang, Fei Wang, Mathieu Salzmann

CoRR, 2020

ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking.

Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Stephen Gould

CoRR, 2020

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

Kaicheng Yu, René Ranftl, Mathieu Salzmann

CoRR, 2020

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

Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks.

Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Evaluating The Search Phase of Neural Architecture Search.

Kaicheng Yu, Christian Sciuto, Martin Jaggi, Claudiu Musat, Mathieu Salzmann

Proceedings of the 8th International Conference on Learning Representations, 2020

Domain Adaptive Multibranch Networks.

Róger Bermúdez-Chacón, Mathieu Salzmann, Pascal Fua

Proceedings of the 8th International Conference on Learning Representations, 2020

Indirect Local Attacks for Context-Aware Semantic Segmentation Networks.

Krishna Kanth Nakka, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2020, 2020

History Repeats Itself: Human Motion Prediction via Motion Attention.

Wei Mao, Miaomiao Liu, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2020, 2020

Estimating People Flows to Better Count Them in Crowded Scenes.

Weizhe Liu, Mathieu Salzmann, Pascal Fua

Proceedings of the Computer Vision - ECCV 2020, 2020

Volumetric Transformer Networks.

Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Shaifali Parashar, Mathieu Salzmann, Pascal Fua

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture.

Sena Kiciroglu, Helge Rhodin, Sudipta N. Sinha, Mathieu Salzmann, Pascal Fua

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Single-Stage 6D Object Pose Estimation.

Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, Mathieu Salzmann

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Shape Reconstruction by Learning Differentiable Surface Representations.

Jan Bednarík, Shaifali Parashar, Erhan Gündogdu, Mathieu Salzmann, Pascal Fua

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Stochastic Conditioning Scheme for Diverse Human Motion Prediction.

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Robust Fine-Grained Recognition by Maximal Separation of Discriminative Features.

Krishna Kanth Nakka, Mathieu Salzmann

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Motion Prediction Using Temporal Inception Module.

Tim Lebailly, Sena Kiciroglu, Mathieu Salzmann, Pascal Fua, Wei Wang

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Better Patch Stitching for Parametric Surface Reconstruction.

Zhantao Deng, Jan Bednarík, Mathieu Salzmann, Pascal Fua

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials.

Thomas Joy, Alban Desmaison, Thalaiyasingam Ajanthan, Rudy Bunel, Mathieu Salzmann, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar

SIAM J. Imaging Sci., 2019

Beyond Sharing Weights for Deep Domain Adaptation.

Artem Rozantsev, Mathieu Salzmann, Pascal Fua

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Memory Efficient Max Flow for Multi-Label Submodular MRFs.

Thalaiyasingam Ajanthan, Richard Hartley, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., 2019

ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture.

Sena Kiciroglu, Helge Rhodin, Sudipta N. Sinha, Mathieu Salzmann, Pascal Fua

CoRR, 2019

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

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould

CoRR, 2019

On Certifying Robust Models by Polyhedral Envelope.

Chen Liu, Mathieu Salzmann, Sabine Süsstrunk

CoRR, 2019

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

Weizhe Liu, Mathieu Salzmann, Pascal Fua

CoRR, 2019

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

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould, AmirHossein Habibian

CoRR, 2019

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

Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua

CoRR, 2019

Interpretable BoW Networks for Adversarial Example Detection.

Krishna Kanth Nakka, Mathieu Salzmann

CoRR, 2019

Backpropagation-Friendly Eigendecomposition.

Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann

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.

Weizhe Liu, Krzysztof Lis, Mathieu Salzmann, Pascal Fua

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Overcoming Multi-model Forgetting.

Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Factorized Representations for Open-Set Domain Adaptation.

Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, Mathieu Salzmann

Proceedings of the 7th International Conference on Learning Representations, 2019

Field Typing for Improved Recognition on Heterogeneous Handwritten Forms.

Ciprian Tomoiaga, Paul Feng, Mathieu Salzmann, Patrick Jayet

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Learning Trajectory Dependencies for Human Motion Prediction.

Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Detecting the Unexpected via Image Resynthesis.

Krzysztof Lis, Krishna Kanth Nakka, Pascal Fua, Mathieu Salzmann

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

Erhan Gundogdu, Victor Constantin, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Recurrent U-Net for Resource-Constrained Segmentation.

Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Neural Scene Decomposition for Multi-Person Motion Capture.

Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Context-Aware Crowd Counting.

Weizhe Liu, Mathieu Salzmann, Pascal Fua

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Segmentation-Driven 6D Object Pose Estimation.

Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

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

Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould

IEEE Trans. Pattern Anal. Mach. Intell., 2018

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

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley

IEEE Trans. Pattern Anal. Mach. Intell., 2018

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

Isinsu Katircioglu, Bugra Tekin, Mathieu Salzmann, Vincent Lepetit, Pascal Fua

Int. J. Comput. Vis., 2018

Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation.

Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann

CoRR, 2018

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

Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua

CoRR, 2018

ExpandNets: Exploiting Linear Redundancy to Train Small Networks.

Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann

CoRR, 2018

VIENA2: A Driving Anticipation Dataset.

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson

CoRR, 2018

Learning Shape-from-Shading for Deformable Surfaces.

Jan Bednarík, Pascal Fua, Mathieu Salzmann

CoRR, 2018

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

Weizhe Liu, Krzysztof Lis, Mathieu Salzmann, Pascal Fua

CoRR, 2018

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

Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua

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.

Róger Bermúdez-Chacón, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Statistically-Motivated Second-Order Pooling.

Kaicheng Yu, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2018, 2018

Effective Use of Synthetic Data for Urban Scene Semantic Segmentation.

Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez

Proceedings of the Computer Vision - ECCV 2018, 2018

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

Helge Rhodin, Mathieu Salzmann, Pascal Fua

Proceedings of the Computer Vision - ECCV 2018, 2018

Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses.

Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning to Find Good Correspondences.

Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Residual Parameter Transfer for Deep Domain Adaptation.

Artem Rozantsev, Mathieu Salzmann, Pascal Fua

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Monocular 3D Human Pose Estimation From Multi-View Images.

Helge Rhodin, Jörg Spörri, Isinsu Katircioglu, Victor Constantin, Frédéric Meyer, Erich Müller, Mathieu Salzmann, Pascal Fua

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Miaomiao Liu, Xuming He, Mathieu Salzmann

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Attentional Structured Representation Learning for Visual Recognition.

Krishna Kanth Nakka, Mathieu Salzmann

Proceedings of the British Machine Vision Conference 2018, 2018

VIENA ^2 : A Driving Anticipation Dataset.

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson

Proceedings of the Computer Vision - ACCV 2018, 2018

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

Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

Jan Bednarík, Pascal Fua, Mathieu Salzmann

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Learning Domain Invariant Embeddings by Matching Distributions.

Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Mathieu Salzmann

Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Soft Correspondences in Multimodal Scene Parsing.

Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson

CoRR, 2017

Second-order Convolutional Neural Networks.

Kaicheng Yu, Mathieu Salzmann

CoRR, 2017

Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation.

Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez, Stephen Gould

CoRR, 2017

Imposing Hard Constraints on Deep Networks: Promises and Limitations.

Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua

CoRR, 2017

Low-Rank Kernel Subspace Clustering.

Pan Ji, Ian D. Reid, Ravi Garg, Hongdong Li, Mathieu Salzmann

CoRR, 2017

Deep Subspace Clustering Networks.

Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian D. Reid

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.

Jose M. Alvarez, Mathieu Salzmann

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.

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley

Proceedings of the 34th International Conference on Machine Learning, 2017

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

Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua

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.

Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez

Proceedings of the IEEE International Conference on Computer Vision, 2017

Encouraging LSTMs to Anticipate Actions Very Early.

Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Boundary-Aware Instance Segmentation.

Zeeshan Hayder, Xuming He, Mathieu Salzmann

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Efficient Linear Programming for Dense CRFs.

Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Efficient Model-Free Anthropometry from Depth Data.

Thomas Probst, Andrea Fossati, Mathieu Salzmann, Luc Van Gool

Proceedings of the 2017 International Conference on 3D Vision, 2017

2016

Exploiting Large Image Sets for Road Scene Parsing.

José M. Álvarez, Mathieu Salzmann, Nick Barnes

IEEE Trans. Intell. Transp. Syst., 2016

Distribution-Matching Embedding for Visual Domain Adaptation.

Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Mathieu Salzmann

J. Mach. Learn. Res., 2016

Semantic labeling for prosthetic vision.

Lachlan Horne, Jose M. Alvarez, Chris McCarthy, Mathieu Salzmann, Nick Barnes

Comput. Vis. Image Underst., 2016

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

Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua

CoRR, 2016

Semantic-Aware Depth Super-Resolution in Outdoor Scenes.

Miaomiao Liu, Mathieu Salzmann, Xuming He

CoRR, 2016

Shape-aware Instance Segmentation.

Zeeshan Hayder, Xuming He, Mathieu Salzmann

CoRR, 2016

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

Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Basura Fernando, Mathieu Salzmann, Lars Petersson, Lars Andersson

CoRR, 2016

Efficient transductive semantic segmentation.

Jose M. Alvarez, Mathieu Salzmann, Nick Barnes

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Learning the Number of Neurons in Deep Networks.

Jose M. Alvarez, Mathieu Salzmann

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.

Róger Bermúdez-Chacón, Carlos J. Becker, Mathieu Salzmann, Pascal Fua

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Segmentation of developing human embryo in time-lapse microscopy.

Aisha Khan, Stephen Gould, Mathieu Salzmann

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

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

Xuan Wang, Mathieu Salzmann, Fei Wang, Jizhong Zhao

Proceedings of the Computer Vision - ECCV 2016, 2016

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

Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, Jose M. Alvarez

Proceedings of the Computer Vision - ECCV 2016, 2016

Building Scene Models by Completing and Hallucinating Depth and Semantics.

Miaomiao Liu, Xuming He, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2016, 2016

Deep Convolutional Neural Networks for Human Embryonic Cell Counting.

Aisha Khan, Stephen Gould, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering.

Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Pan Ji, Hongdong Li, Mathieu Salzmann, Yiran Zhong

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Zeeshan Hayder, Xuming He, Mathieu Salzmann

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

When VLAD Met Hilbert.

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Bugra Tekin, Isinsu Katircioglu, Mathieu Salzmann, Vincent Lepetit, Pascal Fua

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Mirror Surface Reconstruction from a Single Image.

Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels.

Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Structured Depth Prediction in Challenging Monocular Video Sequences.

Miaomiao Liu, Mathieu Salzmann, Xuming He

CoRR, 2015

A Multi-modal Graphical Model for Scene Analysis.

Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson

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.

Aisha Khan, Stephen Gould, Mathieu Salzmann

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development.

Aisha Khan, Stephen Gould, Mathieu Salzmann

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

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

Lachlan Horne, Jose M. Alvarez, Mathieu Salzmann, Nick Barnes

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.

Aisha Khan, Stephen Gould, Mathieu Salzmann

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

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

WeiPeng Xu, Mathieu Salzmann, Yongtian Wang, Yue Liu

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Cutting Edge: Soft Correspondences in Multimodal Scene Parsing.

Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson

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.

Pan Ji, Mathieu Salzmann, Hongdong Li

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Structural Kernel Learning for Large Scale Multiclass Object Co-detection.

Zeeshan Hayder, Xuming He, Mathieu Salzmann

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

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

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Indoor scene structure analysis for single image depth estimation.

Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Riemannian coding and dictionary learning: Kernels to the rescue.

Mehrtash Tafazzoli Harandi, Mathieu Salzmann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

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

Thalaiyasingam Ajanthan, Richard I. Hartley, Mathieu Salzmann, Hongdong Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Discriminative Non-Linear Stationary Subspace Analysis for Video Classification.

Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Kernel Coding: General Formulation and Special Cases.

Mehrtash Tafazzoli Harandi, Mathieu Salzmann

CoRR, 2014

Efficient dense subspace clustering.

Pan Ji, Mathieu Salzmann, Hongdong Li

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Data-driven road detection.

Jose M. Alvarez, Mathieu Salzmann, Nick Barnes

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Large-scale semantic co-labeling of image sets.

Jose M. Alvarez, Mathieu Salzmann, Nick Barnes

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Null space clustering with applications to motion segmentation and face clustering.

Pan Ji, Yiran Zhong, Hongdong Li, Mathieu Salzmann

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Nonrigid Surface Registration and Completion from RGBD Images.

WeiPeng Xu, Mathieu Salzmann, Yongtian Wang, Yue Liu

Proceedings of the Computer Vision - ECCV 2014, 2014

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

Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson

Proceedings of the Computer Vision - ECCV 2014, 2014

Robust Motion Segmentation with Unknown Correspondences.

Pan Ji, Hongdong Li, Mathieu Salzmann, Yuchao Dai

Proceedings of the Computer Vision - ECCV 2014, 2014

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

Zeeshan Hayder, Mathieu Salzmann, Xuming He

Proceedings of the Computer Vision - ECCV 2014, 2014

Expanding the Family of Grassmannian Kernels: An Embedding Perspective.

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard I. Hartley, Hongdong Li

Proceedings of the Computer Vision - ECCV 2014, 2014

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

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley

Proceedings of the Computer Vision - ECCV 2014, 2014

Discrete-Continuous Depth Estimation from a Single Image.

Miaomiao Liu, Mathieu Salzmann, Xuming He

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Optimizing over Radial Kernels on Compact Manifolds.

Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Bregman Divergences for Infinite Dimensional Covariance Matrices.

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Murat Porikli

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Domain Adaptation on the Statistical Manifold.

Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Learning appearance models for road detection.

Jose M. Alvarez, Mathieu Salzmann, Nick Barnes

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Non-Linear Stationary Subspace Analysis with Application to Video Classification.

Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Abbas Bigdeli, Brian C. Lovell, Mathieu Salzmann

Proceedings of the 30th International Conference on Machine Learning, 2013

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

WeiPeng Xu, Yongtian Wang, Yue Liu, Dongdong Weng, Mengwen Tan, Mathieu Salzmann

Proceedings of the IEEE International Conference on Image Processing, 2013

A Framework for Shape Analysis via Hilbert Space Embedding.

Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi

Proceedings of the IEEE International Conference on Computer Vision, 2013

Unsupervised Domain Adaptation by Domain Invariant Projection.

Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann

Proceedings of the IEEE International Conference on Computer Vision, 2013

Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition.

Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Continuous Inference in Graphical Models with Polynomial Energies.

Mathieu Salzmann

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices.

Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Monocular 3D Reconstruction of Locally Textured Surfaces.

Aydin Varol, Appu Shaji, Mathieu Salzmann, Pascal Fua

IEEE Trans. Pattern Anal. Mach. Intell., 2012

A Family of MCMC Methods on Implicitly Defined Manifolds.

Marcus A. Brubaker, Mathieu Salzmann, Raquel Urtasun

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

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

Mathieu Salzmann, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2012, 2012

A constrained latent variable model.

Aydin Varol, Mathieu Salzmann, Pascal Fua, Raquel Urtasun

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Linear Local Models for Monocular Reconstruction of Deformable Surfaces.

Mathieu Salzmann, Pascal Fua

IEEE Trans. Pattern Anal. Mach. Intell., 2011

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

Mathieu Salzmann, Raquel Urtasun

Proceedings of the IEEE International Conference on Computer Vision, 2011

Learning cross-modality similarity for multinomial data.

Yangqing Jia, Mathieu Salzmann, Trevor Darrell

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Deformable Surface 3D Reconstruction from Monocular Images

Mathieu Salzmann, Pascal Fua

Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers, ISBN: 978-3-031-01810-7, 2010

Factorized Orthogonal Latent Spaces.

Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, Trevor Darrell

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

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

Mathieu Salzmann, Raquel Urtasun

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.

Yangqing Jia, Mathieu Salzmann, Trevor Darrell

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.

C. Mario Christoudias, Raquel Urtasun, Mathieu Salzmann, Trevor Darrell

Proceedings of the Computer Vision, 2010

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

Mathieu Salzmann, Raquel Urtasun

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Learning and recovering 3D surface deformations.

Mathieu Salzmann

PhD thesis, 2009

Template-free monocular reconstruction of deformable surfaces.

Aydin Varol, Mathieu Salzmann, Engin Tola, Pascal Fua

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Reconstructing sharply folding surfaces: A convex formulation.

Mathieu Salzmann, Pascal Fua

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.

Francesc Moreno-Noguer, Mathieu Salzmann, Vincent Lepetit, Pascal Fua

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Observable subspaces for 3D human motion recovery.

Andrea Fossati, Mathieu Salzmann, Pascal Fua

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.

Mathieu Salzmann, Francesc Moreno-Noguer, Vincent Lepetit, Pascal Fua

Proceedings of the Computer Vision, 2008

Local deformation models for monocular 3D shape recovery.

Mathieu Salzmann, Raquel Urtasun, Pascal Fua

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

3D pose refinement from reflections.

Pascal Lagger, Mathieu Salzmann, Vincent Lepetit, Pascal Fua

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.

Mathieu Salzmann, Julien Pilet, Slobodan Ilic, Pascal Fua

IEEE Trans. Pattern Anal. Mach. Intell., 2007

Implicit Meshes for Effective Silhouette Handling.

Slobodan Ilic, Mathieu Salzmann, Pascal Fua

Int. J. Comput. Vis., 2007

Convex Optimization for Deformable Surface 3-D Tracking.

Mathieu Salzmann, Richard I. Hartley, Pascal Fua

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Deformable Surface Tracking Ambiguities.

Mathieu Salzmann, Vincent Lepetit, Pascal Fua

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2005

Implicit Surfaces Make for Better Silhouettes.

Slobodan Ilic, Mathieu Salzmann, Pascal Fua

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.

Mathieu Salzmann, Slobodan Ilic, Pascal Fua

Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005