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.


[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]

Unbiased Scene Graph Generation from Biased Training

Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, and Hanwang Zhang
CVPR 2020
(Oral Presentation)
[Paper] [Code]

Two Causal Principles for Improving Visual Dialog

Jiaxin Qi*, Yulei Niu*, Jianqiang Huang, and Hanwang Zhang
CVPR 2020
(Visual Dialog Challenge 2019 Winner)
[Paper] [Code]

Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions

Yulei Niu, Hanwang Zhang, Zhiwu Lu, and Shih-Fu Chang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Recursive Visual Attention in Visual Dialog

Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, and Ji-Rong Wen
CVPR 2019
(Oral Presentation)
[Paper] [Code] [Talk]

Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation

Yulei Niu, Zhiwu Lu, Ji-Rong Wen, Tao Xiang, and Shih-Fu Chang
IEEE Transactions on Image Processing (TIP)

Grounding Referring Expressions in Images by Variational Context

Hanwang Zhang, Yulei Niu, and Shih-Fu Chang
CVPR 2018
[Paper] [Code]

FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation

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

Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing

Yulei Niu*, Zhiwu Lu*, Songfang Huang, Peng Han, and Ji-Rong Wen
IJCAI 2015


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.