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Xingjian Zhen
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2020 – today
- 2024
- [i8]Jurijs Nazarovs, Zhichun Huang, Xingjian Zhen, Sourav Pal, Rudrasis Chakraborty, Vikas Singh:
Variational Sampling of Temporal Trajectories. CoRR abs/2403.11418 (2024) - 2022
- [c6]Xingjian Zhen
, Zihang Meng
, Rudrasis Chakraborty
, Vikas Singh
:
On the Versatile Uses of Partial Distance Correlation in Deep Learning. ECCV (26) 2022: 327-346 - [i7]Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh:
On the Versatile Uses of Partial Distance Correlation in Deep Learning. CoRR abs/2207.09684 (2022) - 2021
- [c5]Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh:
Flow-based Generative Models for Learning Manifold to Manifold Mappings. AAAI 2021: 11042-11052 - [c4]Xingjian Zhen, Rudrasis Chakraborty, Vikas Singh:
Simpler Certified Radius Maximization by Propagating Covariances. CVPR 2021: 7292-7301 - [i6]Xingjian Zhen, Rudrasis Chakraborty, Vikas Singh:
Simpler Certified Radius Maximization by Propagating Covariances. CoRR abs/2104.05888 (2021) - [i5]Varun Nagaraj Rao, Xingjian Zhen, Karen Hovsepian, Mingwei Shen:
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations. CoRR abs/2105.02626 (2021) - 2020
- [c3]Han Yang, Xingjian Zhen, Ying Chi, Lei Zhang, Xian-Sheng Hua:
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries. CVPR 2020: 3802-3810 - [i4]Han Yang, Xingjian Zhen, Ying Chi, Lei Zhang, Xian-Sheng Hua:
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries. CoRR abs/2003.08560 (2020) - [i3]Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh:
Flow-based Generative Models for Learning Manifold to Manifold Mappings. CoRR abs/2012.10013 (2020)
2010 – 2019
- 2019
- [c2]Rudrasis Chakraborty, Xingjian Zhen, Nicholas Vogt, Barbara B. Bendlin
, Vikas Singh:
Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data. ICCV 2019: 10620-10630 - [i2]Xingjian Zhen, Rudrasis Chakraborty, Nicholas Vogt, Barbara B. Bendlin, Vikas Singh:
Dilated Convolutional Neural Networks for Sequential Manifold-valued Data. CoRR abs/1910.02206 (2019) - 2018
- [c1]Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek B. Archer, David E. Vaillancourt, Vikas Singh, Baba C. Vemuri:
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices. NeurIPS 2018: 8897-8908 - [i1]Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek B. Archer, David E. Vaillancourt, Vikas Singh, Baba C. Vemuri:
Statistical Recurrent Models on Manifold valued Data. CoRR abs/1805.11204 (2018)
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