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Tianjiao Ding
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Year
Learning to Parse Wireframes in Images of Man-Made Environments
K Huang, Y Wang, Z Zhou, T Ding, S Gao, Y Ma
the IEEE Conference on Computer Vision and Pattern Recognition, 626-635, 2018
1852018
Noisy Dual Principal Component Pursuit
T Ding, Z Zhu, T Ding, Y Yang, R Vidal, M Tsakiris, D Robinson
International Conference on Machine Learning, 1617-1625, 2019
252019
Robust Homography Estimation via Dual Principal Component Pursuit
T Ding, Y Yang, Z Zhu, DP Robinson, R Vidal, L Kneip, MC Tsakiris
the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 6080-6089, 2020
212020
Efficient Maximal Coding Rate Reduction by Variational Forms
C Baek, Z Wu, KHR Chan, T Ding, Y Ma, BD Haeffele
the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 500-508, 2022
92022
Unsupervised Manifold Linearizing and Clustering
T Ding, S Tong, KHR Chan, X Dai, Y Ma, BD Haeffele
the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
62023
Understanding Doubly Stochastic Clustering
T Ding, D Lim, R Vidal, BD Haeffele
International Conference on Machine Learning, 5153-5165, 2022
62022
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
International Conference on Learning Representations, 2024
22024
HARD: Hyperplane ARrangement Descent
T Ding, L Peng, R Vidal
Conference on Parsimony and Learning, 134-158, 2024
2024
Outlier-Robust Orthogonal Regression on Manifolds
T Ding, L Peng, R Vidal
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
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