| Deep subspace clustering networks P Ji*, T Zhang*, H Li, M Salzmann, I Reid Advances in Neural Information Processing Systems, 24-33, 2017 | 644 | 2017 |
| Adaptive sampling towards fast graph representation learning W Huang, T Zhang, Y Rong, J Huang NeurIPS, 4558-4567, 2018 | 581 | 2018 |
| UC-Net: Uncertainty inspired RGB-D saliency detection via conditional variational autoencoders J Zhang, DP Fan, Y Dai, S Anwar, FS Saleh, T Zhang, N Barnes Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 384 | 2020 |
| Uncertainty-aware Joint Salient Object and Camouflaged Object Detection A Li, J Zhang, Y Lv, B Liu, T Zhang, Y Dai Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2021 | 240 | 2021 |
| Deep unsupervised saliency detection: A multiple noisy labeling perspective J Zhang*, T Zhang*, Y Dai, M Harandi, R Hartley Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 202 | 2018 |
| Optimal feature transport for cross-view image geo-localization Y Shi, X Yu, L Liu, T Zhang, H Li Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11990 …, 2020 | 143 | 2020 |
| Neural collaborative subspace clustering T Zhang, P Ji, M Harandi, W Huang, H Li Proceedings of the 36th International Conference on Machine Learning, 2019 | 83 | 2019 |
| Mult: An end-to-end multitask learning transformer D Bhattacharjee, T Zhang, S Süsstrunk, M Salzmann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 82 | 2022 |
| RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering D Chang, A Božič, T Zhang, Q Yan, Y Chen, S Süsstrunk, M Nießner European conference on computer vision (ECCV) 2022, 2022 | 56 | 2022 |
| Reinforced attention for few-shot learning and beyond J Hong, P Fang, W Li, T Zhang*, C Simon, M Harandi, L Petersson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 53 | 2021 |
| Scalable Deep k-Subspace Clustering T Zhang, P Ji, M Harandi, R Hartley, I Reid Asian Conference on Computer Vision 2018, 2018 | 45 | 2018 |
| Transient artifact reduction algorithm (TARA) based on sparse optimization IW Selesnick, HL Graber, Y Ding, T Zhang, RL Barbour IEEE Transactions on Signal Processing 62 (24), 6596-6611, 2014 | 45 | 2014 |
| VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction Y Ren*, F Wang*, T Zhang, M Pollefeys, S Süsstrunk Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 41 | 2023 |
| Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy T Zhang, C Qiu, W Ke, S Süsstrunk, M Salzmann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 34 | 2022 |
| Semi-supervised active salient object detection Y Lv, B Liu, J Zhang, Y Dai, A Li, T Zhang Pattern Recognition 123, 108364, 2022 | 25 | 2022 |
| Learning Saliency from Single Noisy Labelling: A Robust Model Fitting Perspective J Zhang, Y Dai, T Zhang, MT Harandi, N Barnes, R Hartley IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-1, 2020 | 23 | 2020 |
| End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular Camera Z Song, J Lu, T Zhang, H Li IEEE International Conference on Robotics and Automation - ICRA, 2020 | 23 | 2020 |
| InNeRF360: Text-Guided 3D-Consistent Object Inpainting on 360-degree Neural Radiance Fields D Wang, T Zhang, A Abboud, S Süsstrunk Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 21* | 2024 |
| Spatiotemporal self-supervised learning for point clouds in the wild Y Wu, T Zhang, W Ke, S Süsstrunk, M Salzmann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
| DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata E Pajouheshgar*, Y Xu*, T Zhang, S Süsstrunk Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 15 | 2022 |
Mathieu SalzmannEPFLVerified email at epfl.ch
