Learning to parse wireframes in images of man-made environments K Huang, Y Wang, Z Zhou, T Ding, S Gao, Y Ma Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 148 | 2018 |
Noisy Dual Principal Component Pursuit. T Ding, Z Zhu, T Ding, Y Yang, DP Robinson, MC Tsakiris, R Vidal ICML, 1617-1625, 2019 | 20 | 2019 |
Robust homography estimation via dual principal component pursuit T Ding, Y Yang, Z Zhu, DP Robinson, R Vidal, L Kneip, MC Tsakiris Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 14 | 2020 |
Efficient maximal coding rate reduction by variational forms C Baek, Z Wu, KHR Chan, T Ding, Y Ma, BD Haeffele Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 5 | 2022 |
Understanding doubly stochastic clustering T Ding, D Lim, R Vidal, BD Haeffele International Conference on Machine Learning, 5153-5165, 2022 | 4 | 2022 |
Unsupervised manifold linearizing and clustering T Ding, S Tong, KHR Chan, X Dai, Y Ma, BD Haeffele arXiv preprint arXiv:2301.01805, 2023 | 3 | 2023 |
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models T Chu, S Tong, T Ding, X Dai, BD Haeffele, R Vidal, Y Ma arXiv preprint arXiv:2306.05272, 2023 | | 2023 |
Boosting RANSAC via Dual Principal Component Pursuit Y Yang, X Zhang, T Ding, DP Robinson, R Vidal, MC Tsakiris arXiv preprint arXiv:2110.02918, 2021 | | 2021 |