Xudong Lin

Ph.D Student at Columbia University
xudong.lin@columbia.edu

ResumeGithubGoogle Scholar

About Me

I am Xudong Lin (In Chinese, 蔺旭东), a third-year computer science Ph.D student in Columbia University. I am doing research in the DVMM lab, advised by Prof. Shih-Fu Chang. My research interest lies in multimedia conten understanding, embedding learning, video analysis and generative models.

During my undergraduate program, Mathematics and Physics, I spent four wonderful years at Tsinghua University, and began my research under the supervision of Prof. Jiwen Lu, and Prof. Jie Zhou.

I was also fortunate to work with Prof. B.S. Manjunath at UCSB, Dr. Lin Ma and Dr. Wei Liu at Tencent AI Lab, Prof. Devi Parikh and Prof. Lorenzo Torresani at Facebook AI.

Recent Papers


VX2TEXT: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs
Xudong Lin, Gedas Bertasius, Jue Wang, Shih-Fu Chang, Devi Parikh, Lorenzo Torresani
Accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Arxiv

Co-Grounding Networks with Semantic Attention for Referring Expression Comprehension in Videos
Sijie Song, Xudong Lin, Jiaying Liu, Zongming Guo, Shih-Fu Chang
Accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Arxiv

Flow-Distilled IP Two-Stream Networks for Compressed Video Action Recognition
Shiyuan Huang, Xudong Lin, Svebor Karaman, Shih-Fu Chang
Work in progress
Arxiv

Context-Gated Convolution
Xudong Lin, Lin Ma, Wei Liu, Shih-Fu Chang
Accepted by European Conference on Computer Vision (ECCV), 2020
Arxiv

Towards Train-Test Consistency for Semi-supervised Temporal Action Localization
Xudong Lin, Zheng Shou, Shih-Fu Chang
Work in progress
Arxiv

Dmc-net: Generating discriminative motion cues for fast compressed video action recognition
Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan
Accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
Paper

Unsupervised Rank-Preserving Hashing for Large-Scale Image Retrieval
Svebor Karaman, Xudong Lin, Xuefeng Hu, Shih-Fu Chang
Accepted by International Conference on Multimedia Retrieval (ICMR) 2019
Preprint

Deep Variantional Metric Learning
Xudong Lin, Y. Duan, Q. Dong, J. Lu, J. Zhou
Accepted by European Conference on Computer Vision (ECCV) 2018
Paper

Deep Adversarial Metric Learning
Y. Duan, W. Zheng, Xudong Lin, J. Lu, J. Zhou
Accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
Paper

GraphBit: Mining Bitwise Interaction via Deep Reinforcement Learning
Y. Duan, Z. Wang, J. Lu , Xudong Lin, J. Zhou
Accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
Paper

Academic Service

Reviewer: CVPR 2020, ACM MM 2020, NeurIPS 2020, WACV 2021, ACCV 2020, IJCAI 2020

Reviewer: Neurocomputing

Reviewer: IEEE Access

Reviewer: IEEE Transactions on Circuits and Systems for Video Technology

“More is different.”