Tianjiao Ding

According to our database, Tianjiao Ding authored at least 17 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Limb movement detection and analysis based on visual recognition of human posture.

Zhiguo Xiao, Chunxiang Wang, Tianjiao Ding, Xiangfeng Shen, Xinyuan Li, Dongni Li

Discov. Artif. Intell., December, 2025

Voyaging into Unbounded Dynamic Scenes from a Single View.

Fengrui Tian, Tianjiao Ding, Jinqi Luo, Hancheng Min, René Vidal

CoRR, July, 2025

An Overview of Low-Rank Structures in the Training and Adaptation of Large Models.

Laura Balzano, Tianjiao Ding, Benjamin D. Haeffele, Soo Min Kwon, Qing Qu, Peng Wang, Zhangyang Wang, Can Yaras

CoRR, March, 2025

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction.

Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin David Haeffele

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Concept Lancet: Image Editing with Compositional Representation Transplant.

Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Hancheng Min, Chris Callison-Burch, René Vidal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Geometric Analysis of Nonlinear Manifold Clustering.

Nimita Shinde, Tianjiao Ding, Daniel P. Robinson, René Vidal

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PaCE: Parsimonious Concept Engineering for Large Language Models.

Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models.

Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma

Proceedings of the Twelfth International Conference on Learning Representations, 2024

HARD: Hyperplane ARrangement Descent.

Tianjiao Ding, Liangzu Peng, René Vidal

Proceedings of the Conference on Parsimony and Learning, 2024

2023

Chinese Face Dataset for Face Recognition in an Uncontrolled Classroom Environment.

Nianfeng Li, Xiangfeng Shen, Liyan Sun, Zhiguo Xiao, Tianjiao Ding, Tiansheng Li, Xinhang Li

IEEE Access, 2023

Unsupervised Manifold Linearizing and Clustering.

Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Understanding Doubly Stochastic Clustering.

Tianjiao Ding, Derek Lim, René Vidal, Benjamin D. Haeffele

Proceedings of the International Conference on Machine Learning, 2022

Efficient Maximal Coding Rate Reduction by Variational Forms.

Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Boosting RANSAC via Dual Principal Component Pursuit.

Yunchen Yang, Xinyue Zhang, Tianjiao Ding, Daniel P. Robinson, René Vidal, Manolis C. Tsakiris

CoRR, 2021

2020

Robust Homography Estimation via Dual Principal Component Pursuit.

Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, René Vidal, Laurent Kneip, Manolis C. Tsakiris

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Noisy Dual Principal Component Pursuit.

Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Learning to Parse Wireframes in Images of Man-Made Environments.

Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018