Yapeng Tian

Professional Preparation

PhD - Computer Science
University of Rochester - 2022

ME - Electronic Engineering
Tsinghua University - 2017

BE - Electronic Engineering
Xidian University - 2013

Research Areas

Research Interests

My research interests center around solving core computer vision and audition problems and applying the developed learning approaches to broad AI applications, such
as multisensory perception, computational photography, AR/VR, HCI, and healthcare.

Publications

Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian. Audio-Visual ClassIncremental Learning. IEEE/CVF International Conference on Computer Vision
(ICCV), 2023 - publications

Shentong Mo, Weiguo Pian, Yapeng Tian. Class-Incremental Grouping Network for Continual Audio-Visual Learning. IEEE/CVF International Conference on Computer Vision (ICCV), 2023 - publications

Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool. DiffIR: Efficient Diffusion Model for Image Restoration. IEEE/CVF International Conference on Computer Vision (ICCV), 2023 - publications

Jiamiao Zhang, Yichen Chi, Jun Lyu, Wenming Yang, Yapeng Tian. Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 - publications

Shentong Mo, Yapeng Tian. Audio-Visual Grouping Network for Sound Localization from Mixtures. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 - publications

Chao Huang, Yapeng Tian, Anurag Kumar, Chenliang Xu. Egocentric AudioVisual Object Localization. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 - publications

Bin Xia, Jingwen He, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Luc Van Gool. Structured Sparsity Learning for Efficient Video Super-Resolution. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 - publications

Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool. Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. International Conference on Learning Representations (ICLR), 2023 - publications

1

Awards

Amazon Research Award - [2024]

Cisco Faculty Research Award - [2023]

AAAI New Faculty Highlights - [2023]

CVPR Doctoral Consortium - [2022]

Outstanding Reviewer for NeurIPS - [2020]

Outstanding Graduate of Tsinghua University - [2017]

Outstanding Master Thesis Award, Tsinghua University - [2017]

Appointments

Assistant Professor
The University of Texas at Dallas [2022–Present]

Research Intern
Facebook [2021–2022]

Research Intern
Adobe Research [2021–2021]

Research Intern
Adobe Research [2019–2019]

Research Assistant
University of Rochester [2017–2022]

Research Assistant
Tsinghua University [2014–2017]