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2020 – today
- 2024
[j38]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)- [j37]Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann:
Detecting Road Obstacles by Erasing Them. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2450-2460 (2024) - [j36]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): 4489-4503 (2024) - [j35]Shaifali Parashar, Yuxuan Long, Mathieu Salzmann, Pascal Fua:
A Closed-Form, Pairwise Solution to Local Non-Rigid Structure-From-Motion. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7027-7040 (2024) - [j34]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) - [j33]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) - [c185]Chen Zhao, Yinlin Hu, Mathieu Salzmann:
LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation. 3DV 2024: 1072-1081 - [c184]Sina Honari, Chen Zhao, Mathieu Salzmann, Pascal Fua:
Unsupervised 3D Keypoint Discovery with Multi-View Geometry. 3DV 2024: 1584-1593 - [c183]Andrey Davydov, Martin Engilberge, Mathieu Salzmann, Pascal Fua:
CLOAF: CoLlisiOn-Aware Human Flow. CVPR 2024: 1176-1185 - [c182]Van Nguyen Nguyen, Thibault Groueix, Mathieu Salzmann, Vincent Lepetit:
GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence. CVPR 2024: 9903-9913 - [c181]Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis:
HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields. CVPR 2024: 10392-10402 - [c180]Van Nguyen Nguyen, Thibault Groueix, Georgy Ponimatkin, Yinlin Hu, Renaud Marlet, Mathieu Salzmann, Vincent Lepetit:
NOPE: Novel Object Pose Estimation from a Single Image. CVPR 2024: 17923-17932 - [c179]Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann:
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses. CVPR 2024: 20485-20495 - [c178]Yanhao Wu, Tong Zhang, Wei Ke, Congpei Qiu, Sabine Süsstrunk, Mathieu Salzmann:
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning Through Object Exchange. CVPR 2024: 23052-23061 - [c177]Haoqi Wang, Tong Zhang, Mathieu Salzmann:
SINDER: Repairing the Singular Defects of DINOv2. ECCV (7) 2024: 20-35 - [c176]Qiao Wu, Kun Sun, Pei An, Mathieu Salzmann, Yanning Zhang, Jiaqi Yang:
3D Single-Object Tracking in Point Clouds with High Temporal Variation. ECCV (7) 2024: 279-296 - [c175]Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
Data Augmentation via Latent Diffusion for Saliency Prediction. ECCV (78) 2024: 360-377 - [c174]Wei Mao, Richard Hartley, Mathieu Salzmann, Miaomiao Liu:
Neural SDF Flow for 3D Reconstruction of Dynamic Scenes. ICLR 2024 - [c173]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 - [c172]Chen Zhao, Tong Zhang, Mathieu Salzmann:
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation. ICLR 2024 - [c171]Megh Shukla, Mathieu Salzmann, Alexandre Alahi:
TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression. ICML 2024 - [i171]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 abs/2402.02736 (2024) - [i170]Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis:
HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields. CoRR abs/2402.17062 (2024) - [i169]Baran Ozaydin, Tong Zhang, Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann:
OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation. CoRR abs/2403.06546 (2024) - [i168]Andrey Davydov, Martin Engilberge, Mathieu Salzmann, Pascal Fua:
CLOAF: CoLlisiOn-Aware Human Flow. CoRR abs/2403.09050 (2024) - [i167]Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann:
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses. CoRR abs/2403.13683 (2024) - [i166]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 abs/2404.07504 (2024) - [i165]Théo Gieruc, Marius Kästingschäfer, Sebastian Bernhard, Mathieu Salzmann:
6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction. CoRR abs/2404.12378 (2024) - [i164]Haixin Shi, Yinlin Hu, Daniel Koguciuk, Juan-Ting Lin, Mathieu Salzmann, David Ferstl:
Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera. CoRR abs/2405.05858 (2024) - [i163]Zheng Dang, Jialu Huang, Fei Wang, Mathieu Salzmann:
OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction. CoRR abs/2406.08894 (2024) - [i162]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 abs/2407.08019 (2024) - [i161]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 abs/2407.08659 (2024) - [i160]Haoqi Wang, Tong Zhang, Mathieu Salzmann:
SINDER: Repairing the Singular Defects of DINOv2. CoRR abs/2407.16826 (2024) - [i159]Qiao Wu, Kun Sun, Pei An, Mathieu Salzmann, Yanning Zhang, Jiaqi Yang:
3D Single-object Tracking in Point Clouds with High Temporal Variation. CoRR abs/2408.02049 (2024) - [i158]Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon, Xi Wang, Mathieu Salzmann:
Source-Free Domain-Invariant Performance Prediction. CoRR abs/2408.02209 (2024) - [i157]Bruno Sauvalle, Mathieu Salzmann:
Hybrid diffusion models: combining supervised and generative pretraining for label-efficient fine-tuning of segmentation models. CoRR abs/2408.03433 (2024) - [i156]Siyi Wang, Siyi Liu, Andrew Harper, Paul Kendrick, Mathieu Salzmann, Milos Cernak:
Diffusion-based Speech Enhancement with Schrödinger Bridge and Symmetric Noise Schedule. CoRR abs/2409.05116 (2024) - [i155]Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
Data Augmentation via Latent Diffusion for Saliency Prediction. CoRR abs/2409.07307 (2024) - 2023
- [j32]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): 6415-6427 (2023) - [j31]Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann:
Perspective Aware Road Obstacle Detection. IEEE Robotics Autom. Lett. 8(4): 2150-2157 (2023) - [j30]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: 6102-6114 (2023) - [j29]Chen Liu, Mathieu Salzmann, Sabine Süsstrunk:
Training Provably Robust Models by Polyhedral Envelope Regularization. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3146-3160 (2023) - [c170]Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann:
Robust Outlier Rejection for 3D Registration with Variational Bayes. CVPR 2023: 1148-1157 - [c169]Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua:
DrapeNet: Garment Generation and Self-Supervised Draping. CVPR 2023: 1451-1460 - [c168]Vidit Vidit, Martin Engilberge, Mathieu Salzmann:
CLIP the Gap: A Single Domain Generalization Approach for Object Detection. CVPR 2023: 3219-3229 - [c167]Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann:
Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild. CVPR 2023: 5251-5260 - [c166]Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann:
Dense Multitask Learning to Reconfigure Comics. CVPR Workshops 2023: 5646-5655 - [c165]Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction. CVPR 2023: 6461-6470 - [c164]Yang Hai, Rui Song, Jiaojiao Li, Mathieu Salzmann, Yinlin Hu:
Rigidity-Aware Detection for 6D Object Pose Estimation. CVPR 2023: 8927-8936 - [c163]Vidit Vidit, Martin Engilberge, Mathieu Salzmann:
Learning Transformations to Reduce the Geometric Shift in Object Detection. CVPR 2023: 17441-17450 - [c162]Shuxuan Guo, Yinlin Hu, Jose M. Alvarez, Mathieu Salzmann:
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions. CVPR 2023: 18633-18642 - [c161]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: 3404-3414 - [c160]Zheng Dang, Mathieu Salzmann:
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration. ICCV 2023: 8975-8985 - [c159]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: 13910-13920 - [c158]Fulin Liu, Yinlin Hu, Mathieu Salzmann:
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation. ICCV 2023: 14061-14071 - [c157]Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann:
Vision Transformer Adapters for Generalizable Multitask Learning. ICCV 2023: 18969-18980 - [c156]Yulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Süsstrunk:
Towards Stable and Efficient Adversarial Training against l1 Bounded Adversarial Attacks. ICML 2023: 15089-15104 - [c155]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 - [c154]Tianle Chen, Mahsa Baktashmotlagh, Zijian Wang, Mathieu Salzmann:
Center-aware Adversarial Augmentation for Single Domain Generalization. WACV 2023: 4146-4154 - [i154]Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction. CoRR abs/2301.02315 (2023) - [i153]Vidit Vidit, Martin Engilberge, Mathieu Salzmann:
Learning Transformations To Reduce the Geometric Shift in Object Detection. CoRR abs/2301.05496 (2023) - [i152]Vidit Vidit, Martin Engilberge, Mathieu Salzmann:
CLIP the Gap: A Single Domain Generalization Approach for Object Detection. CoRR abs/2301.05499 (2023) - [i151]Saqib Javed, Andrew Price, Yinlin Hu, Mathieu Salzmann:
Module-Wise Network Quantization for 6D Object Pose Estimation. CoRR abs/2303.06753 (2023) - [i150]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 abs/2303.09219 (2023) - [i149]Fulin Liu, Yinlin Hu, Mathieu Salzmann:
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation. CoRR abs/2303.11516 (2023) - [i148]Yang Hai, Rui Song, Jiaojiao Li, Mathieu Salzmann, Yinlin Hu:
Rigidity-Aware Detection for 6D Object Pose Estimation. CoRR abs/2303.12396 (2023) - [i147]Van Nguyen Nguyen, Thibault Groueix, Yinlin Hu, Mathieu Salzmann, Vincent Lepetit:
NOPE: Novel Object Pose Estimation from a Single Image. CoRR abs/2303.13612 (2023) - [i146]Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann:
Spatiotemporal Self-supervised Learning for Point Clouds in the Wild. CoRR abs/2303.16235 (2023) - [i145]Congpei Qiu, Tong Zhang, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk:
De-coupling and De-positioning Dense Self-supervised Learning. CoRR abs/2303.16947 (2023) - [i144]Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann:
Robust Outlier Rejection for 3D Registration with Variational Bayes. CoRR abs/2304.01514 (2023) - [i143]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 abs/2304.10406 (2023) - [i142]Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann:
Dense Multitask Learning to Reconfigure Comics. CoRR abs/2307.08071 (2023) - [i141]Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann:
Vision Transformer Adapters for Generalizable Multitask Learning. CoRR abs/2308.12372 (2023) - [i140]Zheng Dang, Mathieu Salzmann:
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration. CoRR abs/2309.11170 (2023) - [i139]Krishna Kanth Nakka, Mathieu Salzmann:
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation. CoRR abs/2309.11667 (2023) - [i138]Chen Zhao, Tong Zhang, Mathieu Salzmann:
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation. CoRR abs/2310.03534 (2023) - [i137]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 abs/2310.17359 (2023) - [i136]Megh Shukla, Mathieu Salzmann, Alexandre Alahi:
TIC-TAC: A Framework To Learn And Evaluate Your Covariance. CoRR abs/2310.18953 (2023) - [i135]Van Nguyen Nguyen, Thibault Groueix, Mathieu Salzmann, Vincent Lepetit:
GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence. CoRR abs/2311.14155 (2023) - [i134]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 abs/2312.03053 (2023) - 2022
- [j28]Vidit Vidit, Mathieu Salzmann:
Attention-based domain adaptation for single-stage detectors. Mach. Vis. Appl. 33(5): 65 (2022) - [j27]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): 181-195 (2022) - [j26]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Robust Differentiable SVD. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5472-5487 (2022) - [j25]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8110-8124 (2022) - [j24]Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Counting People by Estimating People Flows. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8151-8166 (2022) - [j23]Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua:
Self-Supervised Human Detection and Segmentation via Background Inpainting. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9574-9588 (2022) - [j22]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) - [c153]Sena Kiciroglu, Wei Wang, Mathieu Salzmann, Pascal Fua:
Long Term Motion Prediction Using Keyposes. 3DV 2022: 12-21 - [c152]Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua:
3D Pose Based Feedback for Physical Exercises. ACCV (4) 2022: 189-205 - [c151]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: 6761-6770 - [c150]Wei Mao, Miaomiao Liu, Mathieu Salzmann:
Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction. CVPR 2022: 8141-8150 - [c149]Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua:
Adversarial Parametric Pose Prior. CVPR 2022: 10987-10995 - [c148]Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann:
MuIT: An End-to-End Multitask Learning Transformer. CVPR 2022: 12021-12031 - [c147]Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann:
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. CVPR 2022: 16559-16568 - [c146]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: 19-37 - [c145]Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. ECCV (2) 2022: 89-106 - [c144]Chen Zhao, Yinlin Hu, Mathieu Salzmann:
Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects. ECCV (1) 2022: 106-122 - [c143]Krishna Kanth Nakka, Mathieu Salzmann:
Universal, Transferable Adversarial Perturbations for Visual Object Trackers. ECCV Workshops (1) 2022: 413-429 - [c142]Tianle Chen, Mahsa Baktashmotlagh, Mathieu Salzmann:
Contrastive Class-aware Adaptation for Domain Generalization. ICPR 2022: 4871-4876 - [c141]Wei Mao, Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann:
Contact-aware Human Motion Forecasting. NeurIPS 2022 - [c140]Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann:
Robust Binary Models by Pruning Randomly-initialized Networks. NeurIPS 2022 - [c139]Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk:
Estimating Image Depth in the Comics Domain. WACV 2022: 1111-1120 - [c138]Mahsa Baktashmotlagh, Tianle Chen, Mathieu Salzmann:
Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift. WACV 2022: 3737-3746 - [i133]Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann:
Robust Binary Models by Pruning Randomly-initialized Networks. CoRR abs/2202.01341 (2022) - [i132]Chen Zhao, Yinlin Hu, Mathieu Salzmann:
Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects. CoRR abs/2203.08472 (2022) - [i131]Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. CoRR abs/2203.09836 (2022) - [i130]Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann:
Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World. CoRR abs/2203.15309 (2022) - [i129]Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann:
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. CoRR abs/2203.17205 (2022) - [i128]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 abs/2203.17234 (2022) - [i127]Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann:
MulT: An End-to-End Multitask Learning Transformer. CoRR abs/2205.08303 (2022) - [i126]Shuxuan Guo, Yinlin Hu, Jose M. Alvarez, Mathieu Salzmann:
Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment. CoRR abs/2205.14971 (2022) - [i125]Wei Mao, Miaomiao Liu, Mathieu Salzmann:
Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction. CoRR abs/2205.15608 (2022) - [i124]Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang:
Fast Adversarial Training with Adaptive Step Size. CoRR abs/2206.02417 (2022) - [i123]Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua:
3D Pose Based Feedback for Physical Exercises. CoRR abs/2208.03257 (2022) - [i122]Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann:
Perspective Aware Road Obstacle Detection. CoRR abs/2210.01779 (2022) - [i121]Wei Mao, Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann:
Contact-aware Human Motion Forecasting. CoRR abs/2210.03954 (2022) - [i120]Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua:
DrapeNet: Generating Garments and Draping them with Self-Supervision. CoRR abs/2211.11277 (2022) - [i119]Chen Zhao, Yinlin Hu, Mathieu Salzmann:
Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation. CoRR abs/2211.16290 (2022) - [i118]Baran Ozaydin, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann:
DSI2I: Dense Style for Unpaired Image-to-Image Translation. CoRR abs/2212.13253 (2022) - [i117]Krzysztof Lis, Matthias Rottmann, Sina Honari, Pascal Fua, Mathieu Salzmann:
AttEntropy: Segmenting Unknown Objects in Complex Scenes using the Spatial Attention Entropy of Semantic Segmentation Transformers. CoRR abs/2212.14397 (2022) - 2021
- [j21]Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li:
Multi-level Motion Attention for Human Motion Prediction. Int. J. Comput. Vis. 129(9): 2513-2535 (2021) - [j20]Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann:
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3167-3182 (2021) - [j19]Siyuan Hao, Wei Wang, Mathieu Salzmann:
Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(3): 2448-2460 (2021) - [c137]Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji:
SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation. AAAI 2021: 2020-2028 - [c136]Frank Yu, Mathieu Salzmann, Pascal Fua, Helge Rhodin:
PCLs: Geometry-Aware Neural Reconstruction of 3D Pose With Perspective Crop Layers. CVPR 2021: 9064-9073 - [c135]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CVPR 2021: 13723-13732 - [c134]Fatemeh Sadat Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould:
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking. CVPR 2021: 14329-14339 - [c133]Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann:
Wide-Depth-Range 6D Object Pose Estimation in Space. CVPR 2021: 15870-15879 - [c132]Isinsu Katircioglu, Helge Rhodin, Jörg Spörri, Mathieu Salzmann, Pascal Fua:
Human Detection and Segmentation via Multi-view Consensus. ICCV 2021: 2835-2844 - [c131]Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann:
Progressive Correspondence Pruning by Consensus Learning. ICCV 2021: 6444-6453 - [c130]Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman:
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. ICCV 2021: 10438-10447 - [c129]Sadegh Aliakbarian, Fatemeh Sadat Saleh, Lars Petersson, Stephen Gould, Mathieu Salzmann:
Contextually Plausible and Diverse 3D Human Motion Prediction. ICCV 2021: 11313-11322 - [c128]Wei Mao, Miaomiao Liu, Mathieu Salzmann:
Generating Smooth Pose Sequences for Diverse Human Motion Prediction. ICCV 2021: 13289-13298 - [c127]Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Pascal Fua, Mathieu Salzmann, Matthias Rottmann:
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. NeurIPS Datasets and Benchmarks 2021 - [c126]Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann:
Distilling Image Classifiers in Object Detectors. NeurIPS 2021: 1036-1047 - [c125]Krishna Kanth Nakka, Mathieu Salzmann:
Learning Transferable Adversarial Perturbations. NeurIPS 2021: 13950-13962 - [i116]Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann:
Wide-Depth-Range 6D Object Pose Estimation in Space. CoRR abs/2104.00337 (2021) - [i115]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Robust Differentiable SVD. CoRR abs/2104.03821 (2021) - [i114]Bahar Aydemir, Deblina Bhattacharjee, Seungryong Kim, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
Modeling Object Dissimilarity for Deep Saliency Prediction. CoRR abs/2104.03864 (2021) - [i113]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CoRR abs/2104.05309 (2021) - [i112]Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman:
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. CoRR abs/2104.06950 (2021) - [i111]Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Mathieu Salzmann, Pascal Fua, Matthias Rottmann:
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. CoRR abs/2104.14812 (2021) - [i110]Samuel von Baußnern, Johannes S. Otterbach, Adrian Loy, Mathieu Salzmann, Thomas Wollmann:
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows. CoRR abs/2105.14638 (2021) - [i109]Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann:
Distilling Image Classifiers in Object Detectors. CoRR abs/2106.05209 (2021) - [i108]Vidit Vidit, Mathieu Salzmann:
Attention-based Domain Adaptation for Single Stage Detectors. CoRR abs/2106.07283 (2021) - [i107]Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li:
Multi-level Motion Attention for Human Motion Prediction. CoRR abs/2106.09300 (2021) - [i106]Wei Mao, Miaomiao Liu, Mathieu Salzmann:
Generating Smooth Pose Sequences for Diverse Human Motion Prediction. CoRR abs/2108.08422 (2021) - [i105]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. CoRR abs/2110.01154 (2021) - [i104]Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk:
Estimating Image Depth in the Comics Domain. CoRR abs/2110.03575 (2021) - [i103]Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua:
Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases. CoRR abs/2111.06838 (2021) - [i102]Zheng Dang, Lizhou Wang, Junning Qiu, Minglei Lu, Mathieu Salzmann:
What Stops Learning-based 3D Registration from Working in the Real World? CoRR abs/2111.10399 (2021) - [i101]Isinsu Katircioglu, Costa Georgantas, Mathieu Salzmann, Pascal Fua:
Dyadic Human Motion Prediction. CoRR abs/2112.00396 (2021) - [i100]Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua:
Adversarial Parametric Pose Prior. CoRR abs/2112.04203 (2021) - [i99]Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk:
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training. CoRR abs/2112.07324 (2021) - 2020
- [j18]Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua:
Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures. Medical Image Anal. 60 (2020) - [j17]Róger Bermúdez-Chacón, Okan Altingövde, Carlos J. Becker, Mathieu Salzmann, Pascal Fua:
Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images. IEEE Trans. Medical Imaging 39(4): 1256-1267 (2020) - [c124]Zhantao Deng, Jan Bednarík, Mathieu Salzmann, Pascal Fua:
Better Patch Stitching for Parametric Surface Reconstruction. 3DV 2020: 593-602 - [c123]Krishna Kanth Nakka, Mathieu Salzmann:
Towards Robust Fine-Grained Recognition by Maximal Separation of Discriminative Features. ACCV (6) 2020: 391-408 - [c122]Tim Lebailly, Sena Kiciroglu, Mathieu Salzmann, Pascal Fua, Wei Wang:
Motion Prediction Using Temporal Inception Module. ACCV (2) 2020: 651-665 - [c121]Sena Kiciroglu, Helge Rhodin, Sudipta N. Sinha, Mathieu Salzmann, Pascal Fua:
ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture. CVPR 2020: 100-109 - [c120]Shaifali Parashar, Mathieu Salzmann, Pascal Fua:
Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings. CVPR 2020: 2056-2064 - [c119]Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann:
Single-Stage 6D Object Pose Estimation. CVPR 2020: 2927-2936 - [c118]Jan Bednarík, Shaifali Parashar, Erhan Gündogdu, Mathieu Salzmann, Pascal Fua:
Shape Reconstruction by Learning Differentiable Surface Representations. CVPR 2020: 4715-4724 - [c117]Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, Mathieu Salzmann:
DUNIT: Detection-Based Unsupervised Image-to-Image Translation. CVPR 2020: 4786-4795 - [c116]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould:
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction. CVPR 2020: 5222-5231 - [c115]Wei Mao, Miaomiao Liu, Mathieu Salzmann:
History Repeats Itself: Human Motion Prediction via Motion Attention. ECCV (14) 2020: 474-489 - [c114]Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann:
Volumetric Transformer Networks. ECCV (28) 2020: 561-578 - [c113]Krishna Kanth Nakka, Mathieu Salzmann:
Indirect Local Attacks for Context-Aware Semantic Segmentation Networks. ECCV (5) 2020: 611-628 - [c112]Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Estimating People Flows to Better Count Them in Crowded Scenes. ECCV (15) 2020: 723-740 - [c111]Róger Bermúdez-Chacón, Mathieu Salzmann, Pascal Fua:
Domain Adaptive Multibranch Networks. ICLR 2020 - [c110]Kaicheng Yu, Christian Sciuto, Martin Jaggi, Claudiu Musat, Mathieu Salzmann:
Evaluating The Search Phase of Neural Architecture Search. ICLR 2020 - [c109]Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann:
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks. NeurIPS 2020 - [c108]Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk:
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them. NeurIPS 2020 - [i98]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS. CoRR abs/2003.04276 (2020) - [i97]Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Stephen Gould:
ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking. CoRR abs/2004.07482 (2020) - [i96]Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann:
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. CoRR abs/2004.07931 (2020) - [i95]Zheng Dang, Fei Wang, Mathieu Salzmann:
Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration. CoRR abs/2006.04523 (2020) - [i94]Krishna Kanth Nakka, Mathieu Salzmann:
Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features. CoRR abs/2006.06028 (2020) - [i93]Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk:
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them. CoRR abs/2006.08403 (2020) - [i92]Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann:
Volumetric Transformer Networks. CoRR abs/2007.09433 (2020) - [i91]Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua:
GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss. CoRR abs/2007.10867 (2020) - [i90]Wei Mao, Miaomiao Liu, Mathieu Salzmann:
History Repeats Itself: Human Motion Prediction via Motion Attention. CoRR abs/2007.11755 (2020) - [i89]Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji:
Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations. CoRR abs/2008.08391 (2020) - [i88]Tim Lebailly, Sena Kiciroglu, Mathieu Salzmann, Pascal Fua, Wei Wang:
Motion Prediction Using Temporal Inception Module. CoRR abs/2010.03006 (2020) - [i87]Zhantao Deng, Jan Bednarík, Mathieu Salzmann, Pascal Fua:
Better Patch Stitching for Parametric Surface Reconstruction. CoRR abs/2010.07021 (2020) - [i86]Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua:
Self-supervised Segmentation via Background Inpainting. CoRR abs/2011.05626 (2020) - [i85]Zheng Dang, Fei Wang, Mathieu Salzmann:
3D Registration for Self-Occluded Objects in Context. CoRR abs/2011.11260 (2020) - [i84]Shaifali Parashar, Yuxuan Long, Mathieu Salzmann, Pascal Fua:
A Closed-Form Solution to Local Non-Rigid Structure-from-Motion. CoRR abs/2011.11567 (2020) - [i83]Frank Yu, Mathieu Salzmann, Pascal Fua, Helge Rhodin:
PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers. CoRR abs/2011.13607 (2020) - [i82]Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Counting People by Estimating People Flows. CoRR abs/2012.00452 (2020) - [i81]Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, Pascal Fua:
Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation. CoRR abs/2012.01511 (2020) - [i80]Fatemeh Sadat Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould:
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking. CoRR abs/2012.02337 (2020) - [i79]Sena Kiciroglu, Wei Wang, Mathieu Salzmann, Pascal Fua:
Long Term Motion Prediction Using Keyposes. CoRR abs/2012.04731 (2020) - [i78]Isinsu Katircioglu, Helge Rhodin, Jörg Spörri, Mathieu Salzmann, Pascal Fua:
Self-supervised Human Detection and Segmentation via Multi-view Consensus. CoRR abs/2012.05119 (2020) - [i77]Mengshi Qi, Edoardo Remelli, Mathieu Salzmann, Pascal Fua:
Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction. CoRR abs/2012.11260 (2020) - [i76]Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann:
Detecting Road Obstacles by Erasing Them. CoRR abs/2012.13633 (2020) - [i75]Krishna Kanth Nakka, Mathieu Salzmann:
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers. CoRR abs/2012.15183 (2020)
2010 – 2019
- 2019
- [j16]Artem Rozantsev, Mathieu Salzmann, Pascal Fua:
Beyond Sharing Weights for Deep Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 801-814 (2019) - [j15]Thalaiyasingam Ajanthan, Richard Hartley, Mathieu Salzmann:
Memory Efficient Max Flow for Multi-Label Submodular MRFs. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 886-900 (2019) - [j14]Thomas Joy, Alban Desmaison, Thalaiyasingam Ajanthan, Rudy Bunel, Mathieu Salzmann, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials. SIAM J. Imaging Sci. 12(1): 287-318 (2019) - [c107]Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Segmentation-Driven 6D Object Pose Estimation. CVPR 2019: 3385-3394 - [c106]Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Context-Aware Crowd Counting. CVPR 2019: 5099-5108 - [c105]Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua:
Neural Scene Decomposition for Multi-Person Motion Capture. CVPR 2019: 7703-7713 - [c104]Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Recurrent U-Net for Resource-Constrained Segmentation. ICCV 2019: 2142-2151 - [c103]Krzysztof Lis, Krishna Kanth Nakka, Pascal Fua, Mathieu Salzmann:
Detecting the Unexpected via Image Resynthesis. ICCV 2019: 2152-2161 - [c102]Erhan Gundogdu, Victor Constantin, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua:
GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping. ICCV 2019: 8738-8747 - [c101]Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li:
Learning Trajectory Dependencies for Human Motion Prediction. ICCV 2019: 9488-9496 - [c100]Ciprian Tomoiaga, Paul Feng, Mathieu Salzmann, Patrick Jayet:
Field Typing for Improved Recognition on Heterogeneous Handwritten Forms. ICDAR 2019: 487-493 - [c99]Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, Mathieu Salzmann:
Learning Factorized Representations for Open-Set Domain Adaptation. ICLR (Poster) 2019 - [c98]Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat:
Overcoming Multi-model Forgetting. ICML 2019: 594-603 - [c97]Weizhe Liu, Krzysztof Lis, Mathieu Salzmann, Pascal Fua:
Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation. IROS 2019: 244-249 - [c96]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Backpropagation-Friendly Eigendecomposition. NeurIPS 2019: 3156-3164 - [i74]Krishna Kanth Nakka, Mathieu Salzmann:
Interpretable BoW Networks for Adversarial Example Detection. CoRR abs/1901.02229 (2019) - [i73]Christian Sciuto, Kaicheng Yu, Martin Jaggi, Claudiu Musat, Mathieu Salzmann:
Evaluating the Search Phase of Neural Architecture Search. CoRR abs/1902.08142 (2019) - [i72]Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat:
Overcoming Multi-Model Forgetting. CoRR abs/1902.08232 (2019) - [i71]Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua:
Neural Scene Decomposition for Multi-Person Motion Capture. CoRR abs/1903.05684 (2019) - [i70]Krzysztof Lis, Krishna K. Nakka, Pascal Fua, Mathieu Salzmann:
Detecting the Unexpected via Image Resynthesis. CoRR abs/1904.07595 (2019) - [i69]Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Recurrent U-Net for Resource-Constrained Segmentation. CoRR abs/1906.04913 (2019) - [i68]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Backpropagation-Friendly Eigendecomposition. CoRR abs/1906.09023 (2019) - [i67]Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua:
Self-supervised Training of Proposal-based Segmentation via Background Prediction. CoRR abs/1907.08051 (2019) - [i66]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould, AmirHossein Habibian:
Learning Variations in Human Motion via Mix-and-Match Perturbation. CoRR abs/1908.00733 (2019) - [i65]Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li:
Learning Trajectory Dependencies for Human Motion Prediction. CoRR abs/1908.05436 (2019) - [i64]Ciprian Tomoiaga, Paul Feng, Mathieu Salzmann, Patrick Jayet:
Field typing for improved recognition on heterogeneous handwritten forms. CoRR abs/1909.10120 (2019) - [i63]Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann:
Single-Stage 6D Object Pose Estimation. CoRR abs/1911.08324 (2019) - [i62]Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Estimating People Flows to Better Count them in Crowded Scenes. CoRR abs/1911.10782 (2019) - [i61]Jan Bednarík, Shaifali Parashar, Erhan Gundogdu, Mathieu Salzmann, Pascal Fua:
Shape Reconstruction by Learning Differentiable Surface Representations. CoRR abs/1911.11227 (2019) - [i60]Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting. CoRR abs/1911.11484 (2019) - [i59]Krishna Kanth Nakka, Mathieu Salzmann:
Indirect Local Attacks for Context-aware Semantic Segmentation Networks. CoRR abs/1911.13038 (2019) - [i58]Chen Liu, Mathieu Salzmann, Sabine Süsstrunk:
On Certifying Robust Models by Polyhedral Envelope. CoRR abs/1912.04792 (2019) - [i57]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould:
Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior. CoRR abs/1912.08521 (2019) - [i56]Sena Kiciroglu, Helge Rhodin, Sudipta N. Sinha, Mathieu Salzmann, Pascal Fua:
ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture. CoRR abs/1912.08568 (2019) - 2018
- [j13]Isinsu Katircioglu, Bugra Tekin, Mathieu Salzmann, Vincent Lepetit, Pascal Fua:
Learning Latent Representations of 3D Human Pose with Deep Neural Networks. Int. J. Comput. Vis. 126(12): 1326-1341 (2018) - [j12]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 48-62 (2018) - [j11]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould:
Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1382-1396 (2018) - [c95]Jan Bednarík, Pascal Fua, Mathieu Salzmann:
Learning to Reconstruct Texture-Less Deformable Surfaces from a Single View. 3DV 2018: 606-615 - [c94]Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu:
3D Box Proposals From a Single Monocular Image of an Indoor Scene. AAAI 2018: 7639-7647 - [c93]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson:
VIENA ^2 : A Driving Anticipation Dataset. ACCV (1) 2018: 449-466 - [c92]Krishna Kanth Nakka, Mathieu Salzmann:
Deep Attentional Structured Representation Learning for Visual Recognition. BMVC 2018: 214 - [c91]Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua:
Learning to Find Good Correspondences. CVPR 2018: 2666-2674 - [c90]Artem Rozantsev, Mathieu Salzmann, Pascal Fua:
Residual Parameter Transfer for Deep Domain Adaptation. CVPR 2018: 4339-4348 - [c89]Miaomiao Liu, Xuming He, Mathieu Salzmann:
Geometry-Aware Deep Network for Single-Image Novel View Synthesis. CVPR 2018: 4616-4624 - [c88]Helge Rhodin, Jörg Spörri, Isinsu Katircioglu, Victor Constantin, Frédéric Meyer, Erich Müller, Mathieu Salzmann, Pascal Fua:
Learning Monocular 3D Human Pose Estimation From Multi-View Images. CVPR 2018: 8437-8446 - [c87]Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. ECCV (2) 2018: 86-103 - [c86]Kaicheng Yu, Mathieu Salzmann:
Statistically-Motivated Second-Order Pooling. ECCV (7) 2018: 621-637 - [c85]Helge Rhodin, Mathieu Salzmann, Pascal Fua:
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation. ECCV (10) 2018: 765-782 - [c84]Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann:
Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses. ECCV (5) 2018: 792-807 - [c83]Róger Bermúdez-Chacón, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua:
A domain-adaptive two-stream U-Net for electron microscopy image segmentation. ISBI 2018: 400-404 - [c82]Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua:
Learning to Segment 3D Linear Structures Using Only 2D Annotations. MICCAI (2) 2018: 283-291 - [i55]Kaicheng Yu, Mathieu Salzmann:
Statistically Motivated Second Order Pooling. CoRR abs/1801.07492 (2018) - [i54]Helge Rhodin, Jörg Spörri, Isinsu Katircioglu, Victor Constantin, Frédéric Meyer, Erich Müller, Mathieu Salzmann, Pascal Fua:
Learning Monocular 3D Human Pose Estimation from Multi-view Images. CoRR abs/1803.04775 (2018) - [i53]Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann:
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses. CoRR abs/1803.08071 (2018) - [i52]Weizhe Liu, Krzysztof Lis, Mathieu Salzmann, Pascal Fua:
Geometric and Physical Constraints for Head Plane Crowd Density Estimation in Videos. CoRR abs/1803.08805 (2018) - [i51]Jan Bednarík, Pascal Fua, Mathieu Salzmann:
Learning Shape-from-Shading for Deformable Surfaces. CoRR abs/1803.08908 (2018) - [i50]Helge Rhodin, Mathieu Salzmann, Pascal Fua:
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation. CoRR abs/1804.01110 (2018) - [i49]Miaomiao Liu, Xuming He, Mathieu Salzmann:
Geometry-aware Deep Network for Single-Image Novel View Synthesis. CoRR abs/1804.06008 (2018) - [i48]Krishna Kanth Nakka, Mathieu Salzmann:
Deep Attentional Structured Representation Learning for Visual Recognition. CoRR abs/1805.05389 (2018) - [i47]Thomas Joy, Alban Desmaison, Thalaiyasingam Ajanthan, Rudy Bunel, Mathieu Salzmann, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials. CoRR abs/1805.09028 (2018) - [i46]Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, Mathieu Salzmann:
Learning Factorized Representations for Open-set Domain Adaptation. CoRR abs/1805.12277 (2018) - [i45]Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. CoRR abs/1807.06132 (2018) - [i44]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson:
VIENA2: A Driving Anticipation Dataset. CoRR abs/1810.09044 (2018) - [i43]Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Context-Aware Crowd Counting. CoRR abs/1811.10452 (2018) - [i42]Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann:
ExpandNets: Exploiting Linear Redundancy to Train Small Networks. CoRR abs/1811.10495 (2018) - [i41]Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua:
Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation. CoRR abs/1811.10508 (2018) - [i40]Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation. CoRR abs/1811.10914 (2018) - [i39]Erhan Gundogdu, Victor Constantin, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua:
GarNet: A Two-stream Network for Fast and Accurate 3D Cloth Draping. CoRR abs/1811.10983 (2018) - [i38]Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Segmentation-driven 6D Object Pose Estimation. CoRR abs/1812.02541 (2018) - 2017
- [c81]Thomas Probst, Andrea Fossati, Mathieu Salzmann, Luc Van Gool:
Efficient Model-Free Anthropometry from Depth Data. 3DV 2017: 486-495 - [c80]Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Boundary-Aware Instance Segmentation. CVPR 2017: 587-595 - [c79]Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar:
Efficient Linear Programming for Dense CRFs. CVPR 2017: 2934-2942 - [c78]Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu:
Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference. CVPR 2017: 6269-6277 - [c77]Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson:
Encouraging LSTMs to Anticipate Actions Very Early. ICCV 2017: 280-289 - [c76]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez:
Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation. ICCV 2017: 2125-2135 - [c75]Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua:
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation. ICCV 2017: 3961-3970 - [c74]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
Joint Dimensionality Reduction and Metric Learning: A Geometric Take. ICML 2017: 1404-1413 - [c73]Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian D. Reid:
Deep Subspace Clustering Networks. NIPS 2017: 24-33 - [c72]Jose M. Alvarez, Mathieu Salzmann:
Compression-aware Training of Deep Networks. NIPS 2017: 856-867 - [p1]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Mathieu Salzmann:
Learning Domain Invariant Embeddings by Matching Distributions. Domain Adaptation in Computer Vision Applications 2017: 95-114 - [i37]Thalaiyasingam Ajanthan, Richard I. Hartley, Mathieu Salzmann:
Memory Efficient Max Flow for Multi-label Submodular MRFs. CoRR abs/1702.05888 (2017) - [i36]Kaicheng Yu, Mathieu Salzmann:
Second-order Convolutional Neural Networks. CoRR abs/1703.06817 (2017) - [i35]Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson:
Encouraging LSTMs to Anticipate Actions Very Early. CoRR abs/1703.07023 (2017) - [i34]Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua:
Imposing Hard Constraints on Deep Networks: Promises and Limitations. CoRR abs/1706.02025 (2017) - [i33]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez, Stephen Gould:
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation. CoRR abs/1706.02189 (2017) - [i32]Pan Ji, Ian D. Reid, Ravi Garg, Hongdong Li, Mathieu Salzmann:
Low-Rank Kernel Subspace Clustering. CoRR abs/1707.04974 (2017) - [i31]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez:
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation. CoRR abs/1708.04400 (2017) - [i30]Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian D. Reid:
Deep Subspace Clustering Networks. CoRR abs/1709.02508 (2017) - [i29]Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson:
Soft Correspondences in Multimodal Scene Parsing. CoRR abs/1709.09843 (2017) - [i28]Jose M. Alvarez, Mathieu Salzmann:
Compression-aware Training of Deep Networks. CoRR abs/1711.02638 (2017) - [i27]Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua:
Learning to Find Good Correspondences. CoRR abs/1711.05971 (2017) - [i26]Artem Rozantsev, Mathieu Salzmann, Pascal Fua:
Residual Parameter Transfer for Deep Domain Adaptation. CoRR abs/1711.07714 (2017) - 2016
- [j10]Lachlan Horne, Jose M. Alvarez, Chris McCarthy, Mathieu Salzmann, Nick Barnes:
Semantic labeling for prosthetic vision. Comput. Vis. Image Underst. 149: 113-125 (2016) - [j9]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Mathieu Salzmann:
Distribution-Matching Embedding for Visual Domain Adaptation. J. Mach. Learn. Res. 17: 108:1-108:30 (2016) - [j8]José M. Álvarez, Mathieu Salzmann, Nick Barnes:
Exploiting Large Image Sets for Road Scene Parsing. IEEE Trans. Intell. Transp. Syst. 17(9): 2456-2465 (2016) - [c71]Bugra Tekin, Isinsu Katircioglu, Mathieu Salzmann, Vincent Lepetit, Pascal Fua:
Structured Prediction of 3D Human Pose with Deep Neural Networks. BMVC 2016 - [c70]Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson:
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering. CVPR 2016: 607-615 - [c69]Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Learning to Co-Generate Object Proposals with a Deep Structured Network. CVPR 2016: 2565-2573 - [c68]Pan Ji, Hongdong Li, Mathieu Salzmann, Yiran Zhong:
Robust Multi-Body Feature Tracker: A Segmentation-Free Approach. CVPR 2016: 3843-3851 - [c67]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli:
When VLAD Met Hilbert. CVPR 2016: 5185-5194 - [c66]Thalaiyasingam Ajanthan, Richard I. Hartley, Mathieu Salzmann:
Memory Efficient Max Flow for Multi-label Submodular MRFs. CVPR 2016: 5867-5876 - [c65]Miaomiao Liu, Xuming He, Mathieu Salzmann:
Building Scene Models by Completing and Hallucinating Depth and Semantics. ECCV (6) 2016: 258-274 - [c64]Aisha Khan, Stephen Gould, Mathieu Salzmann:
Deep Convolutional Neural Networks for Human Embryonic Cell Counting. ECCV Workshops (1) 2016: 339-348 - [c63]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, Jose M. Alvarez:
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. ECCV (8) 2016: 413-432 - [c62]Xuan Wang, Mathieu Salzmann, Fei Wang, Jizhong Zhao:
Template-Free 3D Reconstruction of Poorly-Textured Nonrigid Surfaces. ECCV (7) 2016: 648-663 - [c61]Aisha Khan, Stephen Gould, Mathieu Salzmann:
Segmentation of developing human embryo in time-lapse microscopy. ISBI 2016: 930-934 - [c60]Róger Bermúdez-Chacón, Carlos J. Becker, Mathieu Salzmann, Pascal Fua:
Scalable Unsupervised Domain Adaptation for Electron Microscopy. MICCAI (2) 2016: 326-334 - [c59]Jose M. Alvarez, Mathieu Salzmann:
Learning the Number of Neurons in Deep Networks. NIPS 2016: 2262-2270 - [c58]Jose M. Alvarez, Mathieu Salzmann, Nick Barnes:
Efficient transductive semantic segmentation. WACV 2016: 1-9 - [i25]Pan Ji, Hongdong Li, Mathieu Salzmann, Yiran Zhong:
Robust Multi-body Feature Tracker: A Segmentation-free Approach. CoRR abs/1603.00110 (2016) - [i24]Artem Rozantsev, Mathieu Salzmann, Pascal Fua:
Beyond Sharing Weights for Deep Domain Adaptation. CoRR abs/1603.06432 (2016) - [i23]Bugra Tekin, Isinsu Katircioglu, Mathieu Salzmann, Vincent Lepetit, Pascal Fua:
Structured Prediction of 3D Human Pose with Deep Neural Networks. CoRR abs/1605.05180 (2016) - [i22]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods. CoRR abs/1605.06182 (2016) - [i21]Miaomiao Liu, Mathieu Salzmann, Xuming He:
Semantic-Aware Depth Super-Resolution in Outdoor Scenes. CoRR abs/1605.09546 (2016) - [i20]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, Jose M. Alvarez:
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. CoRR abs/1609.00446 (2016) - [i19]Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Basura Fernando, Mathieu Salzmann, Lars Petersson, Lars Andersson:
Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation. CoRR abs/1611.05520 (2016) - [i18]Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua:
Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation. CoRR abs/1611.05708 (2016) - [i17]Jose M. Alvarez, Mathieu Salzmann:
Learning the Number of Neurons in Deep Networks. CoRR abs/1611.06321 (2016) - [i16]Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar:
Efficient Linear Programming for Dense CRFs. CoRR abs/1611.09718 (2016) - [i15]Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Shape-aware Instance Segmentation. CoRR abs/1612.03129 (2016) - 2015
- [j7]Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann:
Mirror Surface Reconstruction from a Single Image. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 760-773 (2015) - [j6]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2464-2477 (2015) - [c57]Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu:
Indoor scene structure analysis for single image depth estimation. CVPR 2015: 614-622 - [c56]Mehrtash Tafazzoli Harandi, Mathieu Salzmann:
Riemannian coding and dictionary learning: Kernels to the rescue. CVPR 2015: 3926-3935 - [c55]Thalaiyasingam Ajanthan, Richard I. Hartley, Mathieu Salzmann, Hongdong Li:
Iteratively reweighted graph cut for multi-label MRFs with non-convex priors. CVPR 2015: 5144-5152 - [c54]Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson:
Cutting Edge: Soft Correspondences in Multimodal Scene Parsing. ICCV 2015: 1188-1196 - [c53]WeiPeng Xu, Mathieu Salzmann, Yongtian Wang, Yue Liu:
Deformable 3D Fusion: From Partial Dynamic 3D Observations to Complete 4D Models. ICCV 2015: 2183-2191 - [c52]Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Structural Kernel Learning for Large Scale Multiclass Object Co-detection. ICCV 2015: 2632-2640 - [c51]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh:
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs. ICCV 2015: 4112-4120 - [c50]Pan Ji, Mathieu Salzmann, Hongdong Li:
Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data. ICCV 2015: 4687-4695 - [c49]Aisha Khan, Stephen Gould, Mathieu Salzmann:
Automated monitoring of human embryonic cells up to the 5-cell stage in time-lapse microscopy images. ISBI 2015: 389-393 - [c48]Lachlan Horne, Jose M. Alvarez, Mathieu Salzmann, Nick Barnes:
Efficient scene parsing by sampling unary potentials in a fully-connected CRF. Intelligent Vehicles Symposium 2015: 820-825 - [c47]Aisha Khan, Stephen Gould, Mathieu Salzmann:
Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development. MLMI 2015: 161-169 - [c46]Aisha Khan, Stephen Gould, Mathieu Salzmann:
A Linear Chain Markov Model for Detection and Localization of Cells in Early Stage Embryo Development. WACV 2015: 526-533 - [c45]Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson:
A Multi-modal Graphical Model for Scene Analysis. WACV 2015: 1006-1013 - [i14]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli:
When VLAD met Hilbert. CoRR abs/1507.08373 (2015) - [i13]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh:
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs. CoRR abs/1507.08711 (2015) - [i12]Pan Ji, Mathieu Salzmann, Hongdong Li:
Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data. CoRR abs/1509.02649 (2015) - [i11]Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson:
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering. CoRR abs/1511.04960 (2015) - [i10]Miaomiao Liu, Mathieu Salzmann, Xuming He:
Structured Depth Prediction in Challenging Monocular Video Sequences. CoRR abs/1511.06070 (2015) - 2014
- [j5]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann:
Discriminative Non-Linear Stationary Subspace Analysis for Video Classification. IEEE Trans. Pattern Anal. Mach. Intell. 36(12): 2353-2366 (2014) - [c44]Miaomiao Liu, Mathieu Salzmann, Xuming He:
Discrete-Continuous Depth Estimation from a Single Image. CVPR 2014: 716-723 - [c43]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Murat Porikli:
Bregman Divergences for Infinite Dimensional Covariance Matrices. CVPR 2014: 1003-1010 - [c42]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann:
Domain Adaptation on the Statistical Manifold. CVPR 2014: 2481-2488 - [c41]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Optimizing over Radial Kernels on Compact Manifolds. CVPR 2014: 3802-3809 - [c40]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices. ECCV (2) 2014: 17-32 - [c39]WeiPeng Xu, Mathieu Salzmann, Yongtian Wang, Yue Liu:
Nonrigid Surface Registration and Completion from RGBD Images. ECCV (2) 2014: 64-79 - [c38]Pan Ji, Hongdong Li, Mathieu Salzmann, Yuchao Dai:
Robust Motion Segmentation with Unknown Correspondences. ECCV (6) 2014: 204-219 - [c37]Zeeshan Hayder, Mathieu Salzmann, Xuming He:
Object Co-detection via Efficient Inference in a Fully-Connected CRF. ECCV (3) 2014: 330-345 - [c36]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard I. Hartley, Hongdong Li:
Expanding the Family of Grassmannian Kernels: An Embedding Perspective. ECCV (7) 2014: 408-423 - [c35]Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson:
Non-associative Higher-Order Markov Networks for Point Cloud Classification. ECCV (5) 2014: 500-515 - [c34]Pan Ji, Yiran Zhong, Hongdong Li, Mathieu Salzmann:
Null space clustering with applications to motion segmentation and face clustering. ICIP 2014: 283-287 - [c33]Pan Ji, Mathieu Salzmann, Hongdong Li:
Efficient dense subspace clustering. WACV 2014: 461-468 - [c32]Jose M. Alvarez, Mathieu Salzmann, Nick Barnes:
Large-scale semantic co-labeling of image sets. WACV 2014: 501-508 - [c31]Jose M. Alvarez, Mathieu Salzmann, Nick Barnes:
Data-driven road detection. WACV 2014: 1134-1141 - [i9]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli:
Bregman Divergences for Infinite Dimensional Covariance Matrices. CoRR abs/1403.4334 (2014) - [i8]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices. CoRR abs/1407.1120 (2014) - [i7]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard I. Hartley, Hongdong Li:
Expanding the Family of Grassmannian Kernels: An Embedding Perspective. CoRR abs/1407.1123 (2014) - [i6]Mehrtash Tafazzoli Harandi, Mathieu Salzmann:
Kernel Coding: General Formulation and Special Cases. CoRR abs/1409.0084 (2014) - [i5]Thalaiyasingam Ajanthan, Richard I. Hartley, Mathieu Salzmann, Hongdong Li:
Iteratively Reweighted Graph Cut for Multi-label MRFs with Non-convex Priors. CoRR abs/1411.6340 (2014) - [i4]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels. CoRR abs/1412.0265 (2014) - [i3]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices. CoRR abs/1412.4172 (2014) - [i2]Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
A Framework for Shape Analysis via Hilbert Space Embedding. CoRR abs/1412.4174 (2014) - [i1]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Optimizing Over Radial Kernels on Compact Manifolds. CoRR abs/1412.4175 (2014) - 2013
- [c30]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices. CVPR 2013: 73-80 - [c29]Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann:
Mirror Surface Reconstruction from a Single Image. CVPR 2013: 129-136 - [c28]Mathieu Salzmann:
Continuous Inference in Graphical Models with Polynomial Energies. CVPR 2013: 1744-1751 - [c27]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition. DICTA 2013: 1-6 - [c26]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann:
Unsupervised Domain Adaptation by Domain Invariant Projection. ICCV 2013: 769-776 - [c25]Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
A Framework for Shape Analysis via Hilbert Space Embedding. ICCV 2013: 1249-1256 - [c24]WeiPeng Xu, Yongtian Wang, Yue Liu, Dongdong Weng, Mengwen Tan, Mathieu Salzmann:
Real-time keystone correction for hand-held projectors with an RGBD camera. ICIP 2013: 3142-3146 - [c23]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Abbas Bigdeli, Brian C. Lovell, Mathieu Salzmann:
Non-Linear Stationary Subspace Analysis with Application to Video Classification. ICML (3) 2013: 450-458 - [c22]Jose M. Alvarez, Mathieu Salzmann, Nick Barnes:
Learning appearance models for road detection. Intelligent Vehicles Symposium 2013: 423-429 - 2012
- [j4]Aydin Varol, Appu Shaji, Mathieu Salzmann, Pascal Fua:
Monocular 3D Reconstruction of Locally Textured Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1118-1130 (2012) - [c21]Aydin Varol, Mathieu Salzmann, Pascal Fua, Raquel Urtasun:
A constrained latent variable model. CVPR 2012: 2248-2255 - [c20]Mathieu Salzmann, Raquel Urtasun:
Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction. ECCV (4) 2012: 245-259 - [c19]Marcus A. Brubaker, Mathieu Salzmann, Raquel Urtasun:
A Family of MCMC Methods on Implicitly Defined Manifolds. AISTATS 2012: 161-172 - 2011
- [j3]Mathieu Salzmann, Pascal Fua:
Linear Local Models for Monocular Reconstruction of Deformable Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 931-944 (2011) - [c18]Mathieu Salzmann, Raquel Urtasun:
Physically-based motion models for 3D tracking: A convex formulation. ICCV 2011: 2064-2071 - [c17]Yangqing Jia, Mathieu Salzmann, Trevor Darrell:
Learning cross-modality similarity for multinomial data. ICCV 2011: 2407-2414 - 2010
- [b2]Mathieu Salzmann, Pascal Fua:
Deformable Surface 3D Reconstruction from Monocular Images. Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers 2010, ISBN 978-3-031-00682-1 - [c16]Mathieu Salzmann, Raquel Urtasun:
Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction. CVPR 2010: 647-654 - [c15]C. Mario Christoudias, Raquel Urtasun, Mathieu Salzmann, Trevor Darrell:
Learning to Recognize Objects from Unseen Modalities. ECCV (1) 2010: 677-691 - [c14]Yangqing Jia, Mathieu Salzmann, Trevor Darrell:
Factorized Latent Spaces with Structured Sparsity. NIPS 2010: 982-990 - [c13]Mathieu Salzmann, Raquel Urtasun:
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation. NIPS 2010: 2065-2073 - [c12]Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, Trevor Darrell:
Factorized Orthogonal Latent Spaces. AISTATS 2010: 701-708
2000 – 2009
- 2009
- [b1]Mathieu Salzmann:
Learning and recovering 3D surface deformations. EPFL, Switzerland, 2009 - [c11]Mathieu Salzmann, Pascal Fua:
Reconstructing sharply folding surfaces: A convex formulation. CVPR 2009: 1054-1061 - [c10]Andrea Fossati, Mathieu Salzmann, Pascal Fua:
Observable subspaces for 3D human motion recovery. CVPR 2009: 1137-1144 - [c9]Francesc Moreno-Noguer, Mathieu Salzmann, Vincent Lepetit, Pascal Fua:
Capturing 3D stretchable surfaces from single images in closed form. CVPR 2009: 1842-1849 - [c8]Aydin Varol, Mathieu Salzmann, Engin Tola, Pascal Fua:
Template-free monocular reconstruction of deformable surfaces. ICCV 2009: 1811-1818 - 2008
- [c7]Pascal Lagger, Mathieu Salzmann, Vincent Lepetit, Pascal Fua:
3D pose refinement from reflections. CVPR 2008 - [c6]Mathieu Salzmann, Raquel Urtasun, Pascal Fua:
Local deformation models for monocular 3D shape recovery. CVPR 2008 - [c5]Mathieu Salzmann, Francesc Moreno-Noguer, Vincent Lepetit, Pascal Fua:
Closed-Form Solution to Non-rigid 3D Surface Registration. ECCV (4) 2008: 581-594 - 2007
- [j2]Slobodan Ilic, Mathieu Salzmann, Pascal Fua:
Implicit Meshes for Effective Silhouette Handling. Int. J. Comput. Vis. 72(2): 159-178 (2007) - [j1]Mathieu Salzmann, Julien Pilet, Slobodan Ilic, Pascal Fua:
Surface Deformation Models for Nonrigid 3D Shape Recovery. IEEE Trans. Pattern Anal. Mach. Intell. 29(8): 1481-1487 (2007) - [c4]Mathieu Salzmann, Vincent Lepetit, Pascal Fua:
Deformable Surface Tracking Ambiguities. CVPR 2007 - [c3]Mathieu Salzmann, Richard I. Hartley, Pascal Fua:
Convex Optimization for Deformable Surface 3-D Tracking. ICCV 2007: 1-8 - 2005
- [c2]Mathieu Salzmann, Slobodan Ilic, Pascal Fua:
Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking. BMVC 2005 - [c1]Slobodan Ilic, Mathieu Salzmann, Pascal Fua:
Implicit Surfaces Make for Better Silhouettes. CVPR (1) 2005: 1135-1141
Coauthor Index
Mohammad Sadegh Ali Akbarian
aka: Mohammad Sadegh Aliakbarian
aka: Mohammad Sadegh Aliakbarian
José M. Álvarez
aka: Jose M. Alvarez
aka: Jose M. Alvarez
Mahsa Baktash
aka: Mahsa Baktashmotlagh
aka: Mahsa Baktashmotlagh
[j37] [j35] [j34] [c184] [c183] [i171] [i168] [j32] [j31] [c169] [j27] [j26] [j24] [j23] [c153] [c152] [c149] [c145] [i131] [i123] [i122] [i120] [i117] [j20] [c136] [c133] [c132] [c130] [c127] [i116] [i115] [i112] [i111] [i103] [i101] [i100] [j18] [j17] [c124] [c122] [c121] [c120] [c119] [c118] [c112] [c111] [i96] [i91] [i88] [i87] [i86] [i84] [i83] [i82] [i81] [i79] [i78] [i77] [i76] [j16] [c107] [c106] [c105] [c104] [c103] [c102] [c97] [c96] [i71] [i70] [i69] [i68] [i67] [i63] [i62] [i61] [i60] [i56] [j13] [c95] [c91] [c90] [c88] [c85] [c84] [c83] [c82] [i54] [i53] [i52] [i51] [i50] [i43] [i41] [i40] [i39] [i38] [c75] [i34] [i27] [i26] [c71] [c60] [i24] [i23] [i18] [j4] [c21] [j3] [b2] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [j2] [j1] [c4] [c3] [c2] [c1]
Mehrtash Harandi
aka: Mehrtash Tafazzoli Harandi
aka: Mehrtash Tafazzoli Harandi
Krishna K. Nakka
aka: Krishna Kanth Nakka
aka: Krishna Kanth Nakka
Fatemehsadat Saleh
aka: Fatemeh Sadat Saleh
aka: Fatemeh Sadat Saleh
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-10-31 20:18 CET by the dblp team
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