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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) - [c187]Chen Zhao, Yinlin Hu, Mathieu Salzmann:
LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation. 3DV 2024: 1072-1081 - [c186]Sina Honari, Chen Zhao, Mathieu Salzmann, Pascal Fua:
Unsupervised 3D Keypoint Discovery with Multi-View Geometry. 3DV 2024: 1584-1593 - [c185]Andrey Davydov, Martin Engilberge, Mathieu Salzmann, Pascal Fua:
CLOAF: CoLlisiOn-Aware Human Flow. CVPR 2024: 1176-1185 - [c184]Van Nguyen Nguyen, Thibault Groueix, Mathieu Salzmann, Vincent Lepetit:
GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence. CVPR 2024: 9903-9913 - [c183]Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis:
HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields. CVPR 2024: 10392-10402 - [c182]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 - [c181]Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann:
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses. CVPR 2024: 20485-20495 - [c180]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 - [c179]Haoqi Wang, Tong Zhang, Mathieu Salzmann:
SINDER: Repairing the Singular Defects of DINOv2. ECCV (7) 2024: 20-35 - [c178]Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon, Xi Wang, Mathieu Salzmann:
Source-Free Domain-Invariant Performance Prediction. ECCV (80) 2024: 99-116 - [c177]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 - [c176]Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
Data Augmentation via Latent Diffusion for Saliency Prediction. ECCV (78) 2024: 360-377 - [c175]Wei Mao, Richard Hartley, Mathieu Salzmann, Miaomiao Liu:
Neural SDF Flow for 3D Reconstruction of Dynamic Scenes. ICLR 2024 - [c174]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 - [c173]Chen Zhao, Tong Zhang, Mathieu Salzmann:
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation. ICLR 2024 - [c172]Megh Shukla, Mathieu Salzmann, Alexandre Alahi:
TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression. ICML 2024 - [c171]Tang Tao, Longfei Gao, Guangrun Wang, Yixing Lao, Peng Chen, Hengshuang Zhao, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu:
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. ACM Multimedia 2024: 390-398 - [i176]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) - [i175]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) - [i174]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) - [i173]Andrey Davydov, Martin Engilberge, Mathieu Salzmann, Pascal Fua:
CLOAF: CoLlisiOn-Aware Human Flow. CoRR abs/2403.09050 (2024) - [i172]Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann:
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses. CoRR abs/2403.13683 (2024) - [i171]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) - [i170]Théo Gieruc, Marius Kästingschäfer, Sebastian Bernhard, Mathieu Salzmann:
6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction. CoRR abs/2404.12378 (2024) - [i169]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) - [i168]Zheng Dang, Jialu Huang, Fei Wang, Mathieu Salzmann:
OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction. CoRR abs/2406.08894 (2024) - [i167]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) - [i166]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) - [i165]Haoqi Wang, Tong Zhang, Mathieu Salzmann:
SINDER: Repairing the Singular Defects of DINOv2. CoRR abs/2407.16826 (2024) - [i164]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) - [i163]Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon, Xi Wang, Mathieu Salzmann:
Source-Free Domain-Invariant Performance Prediction. CoRR abs/2408.02209 (2024) - [i162]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) - [i161]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) - [i160]Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
Data Augmentation via Latent Diffusion for Saliency Prediction. CoRR abs/2409.07307 (2024) - [i159]Saqib Javed, Hieu Le, Mathieu Salzmann:
QT-DoG: Quantization-aware Training for Domain Generalization. CoRR abs/2410.06020 (2024) - [i158]Peter Grönquist, Deblina Bhattacharjee, Bahar Aydemir, Baran Ozaydin, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
Unlocking Comics: The AI4VA Dataset for Visual Understanding. CoRR abs/2410.20459 (2024) - [i157]Chen Zhao, Xuan Wang, Tong Zhang, Saqib Javed, Mathieu Salzmann:
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis. CoRR abs/2411.00144 (2024) - [i156]Zhitong Gao, Bingnan Li, Mathieu Salzmann, Xuming He:
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts. CoRR abs/2411.03829 (2024) - [i155]Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann:
Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds. CoRR abs/2411.18810 (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, José M. Álvarez, 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]