Publications

in reversed chronological order

2024

  1. Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
    Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
    Tianzhe Chu*, Shengbang Tong*, Tianjiao Ding*, Xili Dai, Benjamin D. Haeffele, René Vidal, and Yi Ma
    In International Conference on Learning Representations, 2024
    Paper Code
  2. HARD: Hyperplane ARrangement Descent
    HARD: Hyperplane ARrangement Descent
    Tianjiao Ding*, Liangzu Peng*, and René Vidal
    In Conference on Parsimony and Learning (Oral), 2024
    Paper Code

2023

  1. Unsupervised Manifold Linearizing and Clustering
    Unsupervised Manifold Linearizing and Clustering
    Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, and Benjamin D. Haeffele
    In International Conference on Computer Vision, 2023
    Paper

2022

  1. Understanding Doubly Stochastic Clustering
    Understanding Doubly Stochastic Clustering
    Tianjiao Ding, Derek Lim, René Vidal, and Benjamin D. Haeffele
    In International Conference on Machine Learning, 2022
    Paper
  2. Efficient Maximal Coding Rate Reduction by Variational Forms
    Efficient Maximal Coding Rate Reduction by Variational Forms
    Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, and Benjamin D. Haeffele
    In IEEE Conference on Computer Vision and Pattern Recognition, 2022
    Paper

2020

  1. Robust Homography Estimation via Dual Principal Component Pursuit
    Robust Homography Estimation via Dual Principal Component Pursuit
    Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, René Vidal, Laurent Kneip, and Manolis C. Tsakiris
    In IEEE Conference on Computer Vision and Pattern Recognition, 2020
    Paper Code

2019

  1. Noisy Dual Principal Component Pursuit
    Noisy Dual Principal Component Pursuit
    Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, and René Vidal
    In International Conference on Machine Learning, 2019
    Paper Code

2018

  1. Learning to parse wireframes in images of man-made environments
    Learning to parse wireframes in images of man-made environments
    Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, and Yi Ma
    In IEEE Conference on Computer Vision and Pattern Recognition, 2018
    Paper Code