A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices. - Rudrasis Chakraborty; Chun-Hao Yang; Xingjian Zhen; Monami Banerjee; Derek B. Archer; David E. Vaillancourt; Vikas Singh; Baba C. Vemuri (NeurIPS, 2018)

Statistical Recurrent Models on Manifold valued Data. - Rudrasis Chakraborty; Chun-Hao Yang; Xingjian Zhen; Monami Banerjee; Derek B. Archer; David E. Vaillancourt; Vikas Singh; Baba C. Vemuri (CoRR, 2018)

Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data. - Rudrasis Chakraborty; Xingjian Zhen; Nicholas Vogt; Barbara B. Bendlin; Vikas Singh (ICCV, 2019)

CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries. - Han Yang 009; Xingjian Zhen; Ying Chi; Lei Zhang 006; Xian-Sheng Hua 001 (CVPR, 2020)

Flow-based Generative Models for Learning Manifold to Manifold Mappings. - Xingjian Zhen; Rudrasis Chakraborty; Liu Yang; Vikas Singh (AAAI, 2021)

Simpler Certified Radius Maximization by Propagating Covariances. - Xingjian Zhen; Rudrasis Chakraborty; Vikas Singh (CVPR, 2021)

A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations. - Varun Nagaraj Rao; Xingjian Zhen; Karen Hovsepian; Mingwei Shen 001 (CoRR, 2021)

On the Versatile Uses of Partial Distance Correlation in Deep Learning. - Xingjian Zhen; Zihang Meng; Rudrasis Chakraborty; Vikas Singh (ECCV (26), 2022)

Variational Sampling of Temporal Trajectories. - Jurijs Nazarovs; Zhichun Huang; Xingjian Zhen; Sourav Pal; Rudrasis Chakraborty; Vikas Singh (CoRR, 2024)