Bio

Yulei Niu obtained his Ph.D. at Renmin University of China, advised by Prof. Ji-Rong Wen and Prof. Zhiwu Lu. He was a visiting student in DVMM Lab at Columbia University, advised by Prof. Shih-Fu Chang. He also works closely with Prof. Hanwang Zhang from Nanyang Technological University. Prior to the Ph.D. study, Yulei received B.E. degree in Computer Science from Renmin University of China in 2015.
His research interests include vision and language, visual reasoning, and causal inference.

News

[06/2020] I attended CVPR 2020 Doctoral Consortium with travel award.
[05/2020] I successfully defended my PhD thesis. I'd like to thank everyone who has helped me.
[02/2020] Two collaborative paper are accpeted by CVPR 2020 (one oral presentation).
[07/2019] One paper on Visual Grounding is accpeted by IEEE TPAMI.
[06/2019] Our Team MReaL-BDAI wins the first place in Visual Dialog Challenge 2019.
[02/2019] One paper on Visual Dialogue is accepted by CVPR 2019 as oral presentation.

Publications [Google Scholar]

FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation

FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation

2017, Feb 01    

Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, and Ji-Rong Wen
AAAI 2017
(Oral Presentation)
[Paper]

Activities

Reviewer for ACM Computing Survey (CSUR), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Program Committee / Reviewer for ICLR'21, WACV'21, AAAI'21, NeurIPS'20, ICML'20, CVPR'20, ACMMM'20, AAAI'20, BMVC'20, BMVC'19

Last updated: July. 20, 2020.