Yapeng Tian

PhD Candidate

Department of Computer Science
University of Rochester, NY


[Google Scholar][CV] [Github] [DBLP]  

Short bio

I am a Third-year PhD Candidate in the URCS.  I received my M.E. degree from Tsinghua University in 2017, and B.E. degree from Xidian University in 2013.

My research recent interests are:

(1) vision and sound

(2) image and video restoration



[02/2020] Two papers on video restoration got accepted by CVPR 2020! Congratulations to All co-authors!

[01/2020] RDN is accepted by IEEE TPAMI! Congratulations to Yulun!

[12/2019] Please check our deep audio prior paper in ArXiv.

[08/2019] One paper is accepted by IEEE TIP. Congratulations to Xuechen!

[07/2019] One paper is accepted by ICCV 2019. Congratulations to Wei!

[05/2019] Our two works: audio-visual event localization and audio-visual video captioning will be presented in the CVPR 2019 Sight and Sound workshop.

[02/2019] I will serve as an ICCV 2019 reviewer.

[12/2018] Two papers are posted on ArXiv. Please watch the corresponding demos.

[07/2018] One paper is accepted by ECCV 2018! AVE dataset and codes have been released.

[03/2018] One paper is posted on ArXiv.

[02/2018] One paper is accepted by CVPR 2018. Congratulations to Yulun!

[07/2017] I recieve 'Outstanding Graduate of Tsinghua university' and ''Outstanding Master Thesis Award'.

[03/2017] I will join Prof. Chenliang Xu's lab to pursue a PhD degree at University of Rochester!



Vision and Sound

Deep Audio Prior

Yapeng Tian, Chenliang Xu, and Dingzeyu Li
ArXiv, 2019. [Paper]
Interpretable and Controllable Audio-Visual Video Captioning

Yapeng Tian, Chenxiao Guan, Goodman Justin, Marc Moore, and Chenliang Xu
CVPR Sight and Sound Workshop, 2019. [Early version] [Website]
Audio-Visual Event Localization in Unconstrained Videos

Yapeng Tian, Jing Shi, Bochen Li, Zhiyao Duan, and Chenliang Xu
ECCV 2018.[PDF] [Project] [Code]
CVPR Sight and Sound Workshop, 2019. (Oral)

Video Restoration

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

Xiaoyu Xiang*, Yapeng Tian*, Yulun Zhang, Yun Fu, Jan Allebach+, and Chenliang Xu+
CVPR, 2020. [Paper] [Code] [Demo ] (Equal contribution*;Equal advising+)
TDAN: Temporally Deformable Alignment Network for Video Super-Resolution

Yapeng Tian, Yulun Zhang, Yun Fu, and Chenliang Xu
CVPR, 2020. [Paper] [Code] [Demo]

Image Restoration

Residual Dense Network for Image Restoration

Yulun Zhang, Yapeng Tian, Yu Kong , Bineng Zhong, Yun Fu
IEEE TPAMI, 2020. [Paper][Code]
CFSNet: Toward a Controllable Feature Space for Image Restoration

Wei Wang, Ruiming Guo, Yapeng Tian, and Wenming Yang
ICCV, 2019. [Paper] [Code]
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution

Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao
IEEE Trans. Image Processing (TIP), 2019. [Paper]
Deep Learning for Single Image Super-Resolution: A Brief Review

Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao
IEEE Trans. Multimedia (TMM), 2019. [Paper]
Residual Dense Network for Image Super-Resolution

Yulun Zhang, Yapeng Tian, Yu Kong , Bineng Zhong, Yun Fu
CVPR 2018. [PDF]  [Code]
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte, Eirikur Agustsson, Luc Van Gool, ..., Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, ...
CVPR Workshops 2017. [PDF
Consistent Coding Scheme for Single-Image Super-Resolution Via Independent Dictionaries

Wenming Yang, Yapeng Tian, Fei Zhou*, Qingmin Liao, Hai Chen and Chenglin Zheng
IEEE Trans. Multimedia (TMM),  2016. [PDF][Project
Anchored Neighborhood Regression based Single Image Super-Resolution from Self-examples

Yapeng Tian, Fei Zhou, Wenming Yang*, Xuesen Shang and Qingmin Liao
ICIP 2016, [PDF] [Project] [Code]
Single-Image Super-Resolution Using Clustering-Based Global Regression and Propagation Filtering

Wenming Yang,Yapeng Tian, Fei Zhou, Tingrong Yuan, Xuesen Shang and Qingmin Liao
ACPR 2015, [PDF]




Professional Activities