I am an assistant professor in the Computer Science Department of UT Dallas. I am interested in solving core computer vision and computer audition problems and applying the developed learning approaches to broad AI applications. My recent work has focused on studying audio-visual scene understanding [ECCV'18, CVPRW'19, ECCV'20, CVPR'21a, CVPR'21b, CVPR'22a] and mitigating video motions [CVPR'20a, CVPR'20b].
Before coming to UTD, I finished my PhD at University of Rochester, advised by Chenliang Xu, my master degree at Tsinghua University working with Wenming Yang, and B.E degree at Xidian University. I was a visiting student at SIAT advised by Yu Qiao. I did internships at Adobe Research with Dingzeyu Li and Meta with Alexander Richard.
Prospective students:
My group has multiple opening Ph.D. positions in Spring and Fall 2023. Please email me your CV if you are interested. For application, please apply to our CS Ph.D. program and mention my name in your research statement.
Current UTD students interested in doing research with me are welcome to email me or stop by my office during my office hours.
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(Co-)advised Students:
Shentong Mo (PhD student at Carnegie Mellon University)
Guangyao Li (PhD student at Renmin University of China)
Shijian Deng (Graduate student at University of Rochester)
Yuxin Ye (Graduate student at Tsinghua University)
Alumni:
Hai Wang (Graduate student at Tsinghua University; next: PhD student at UCL)
Sizhe Li (Undergraduate student at University of Rochester; next: Visiting student at MIT )
Yiyang Su (Undergraduate student at University of Rochester; next: PhD student at Michigan State University)
Rohan Sharma (Graduate student at University of Rochester; next: PhD student at SUNY Buffalo)
Chenxiao Guan (Undergraduate student at University of Rochester; next: Graduate student at CMU)
Most recent publications on Google Scholar.
‡ indicates equal contribution.
Learning Spatio-Temporal Downsampling for Effective Video Upscaling
Xiaoyu Xiang, Yapeng Tian, Vijay Rengarajan, Lucas Young, Bo Zhu, Rakesh Ranjan
ECCV'22: European Conference on Computer Vision.
DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging
Jun Lyu, Bin Sui, Chengyan Wang, Yapeng Tian, Qi Dou, and Jing Qin
MICCAI'22: Medical Image Computing and Computer Assisted Intervention.
Learning to Answer Questions in Dynamic Audio-Visual Scenarios
Guangyao Li‡, Yake Wei‡, Yapeng Tian‡, Chenliang Xu, Ji-Rong Wen, and Di Hu
CVPR'22 Oral: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Transformer-empowered Multi-contrast MRI Super-Resolution
Guangyuan Li, Jun Lv, Yapeng Tian, Qi Dou, Chengyan Wang, Chenliang Xu, Jing Qin
CVPR'22: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution
Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, Jie Zhou
AAAI'22: The AAAI Conference on Artificial Intelligence.
Efficient Non-Local Contrastive Attention for Image Super-Resolution
Bin Xia‡, Yucheng Hang‡, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou
AAAI'22: The AAAI Conference on Artificial Intelligence.
Space-Time Memory Network for Sounding Object Localization in Videos
Sizhe Li‡, Yapeng Tian‡, and Chenliang Xu
BMVC'21: The British Machine Vision Conference.
Video Matting via Consistency-Regularized Graph Neural Networks
Tiantian Wang, Sifei Liu, Yapeng Tian, Kai Li, and Ming-Hsuan Yang
ICCV'21: IEEE/CVF International Conference on Computer Vision.
Can audio-visual integration strengthen robustness under multimodal attacks?
Yapeng Tian and Chenliang Xu
CVPR'21: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation
Yapeng Tian, Di Hu, and Chenliang Xu
CVPR'21: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing
Yapeng Tian, Dingzeyu Li, and Chenliang Xu
ECCV'20 Spotlight: European Conference on Computer Vision.
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'20: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
TDAN: Temporally Deformable Alignment Network for Video Super-Resolution
Yapeng Tian, Yulun Zhang, Yun Fu, and Chenliang Xu
CVPR'20: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
This is the first work that uses deformable alignment to address video restoration.
Deep Audio Prior
Yapeng Tian, Chenliang Xu, and Dingzeyu Li
CVPRW'20: CVPR Workshops.
Residual Dense Network for Image Super-Resolution
Yulun Zhang, Yapeng Tian, Yu Kong , Bineng Zhong, Yun Fu
TPAMI'20: IEEE Transactions on Pattern Analysis and Machine Intelligence.
CFSNet: Toward a Controllable Feature Space for Image Restoration
Wei Wang‡, Ruiming Guo‡, Yapeng Tian, and Wenming Yang
ICCV'19: IEEE/CVF International Conference on Computer Vision.
Interpretable and Controllable Audio-Visual Video Captioning
Yapeng Tian, Chenxiao Guan, Goodman Justin, Marc Moore, and Chenliang Xu
CVPRW'19: CVPR Workshops.
Multisensory interpretability in terms of the audio-visual video captioning task.
LCSCNet: Linear Compressing Based Skip-Connecting Network for ISR
Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao
TIP'19: IEEE Trans. Image Processing.
Deep Learning for Single Image Super-Resolution: A Brief Review
Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, JingHao Xue, Qingmin Liao
TMM'19: IEEE Trans. Multimedia.
Audio-Visual Event Localization in Unconstrained Videos
Yapeng Tian, Jing Shi, Bochen Li, Zhiyao Duan, Chenliang Xu
ECCV'18: European Conference on Computer Vision.
Residual Dense Network for Image Super-Resolution
Yulun Zhang, Yapeng Tian, Yu Kong , Bineng Zhong, Yun Fu
CVPR'18 Spotlight: IEEE/CVF Conf. on Computer Vision and Pattern Recognition.
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
Timofte et al.
CVPRW'17: CVPR Workshops.
Consistent Coding Scheme for Single-Image Super-Resolution
Wenming Yang, Yapeng Tian, Fei Zhou, Qingmin Liao, Hai Chen, Chenglin Zheng
TMM'16: EEE Trans. Multimedia. (First student author)
Anchored Neighborhood Regression based SISR from Self-examples
Yapeng Tian, Fei Zhou, Wenming Yang, Xuesen Shang, Qingmin Liao
ICIP'16: IEEE International Conference on Image Processing.
SISR Using Clustering-Based Global Regression and Propagation Filtering
Wenming Yang, Yapeng Tian, Fei Zhou, ..., Qingmin Liao
ACPR'15 Oral: Asian Conference on Pattern Recognition. (First student author)
Learning Spatio-Temporal Downsampling for Effective Video Upscaling
Xiaoyu Xiang, Yapeng Tian, Vijay Rengarajan, Lucas Young, Bo Zhu, Rakesh Ranjan
ECCV'22: European Conference on Computer Vision.
Learning to Answer Questions in Dynamic Audio-Visual Scenarios
Guangyao Li‡, Yake Wei‡, Yapeng Tian‡, Chenliang Xu, Ji-Rong Wen, and Di Hu
CVPR'22 Oral: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Can audio-visual integration strengthen robustness under multimodal attacks?
Yapeng Tian and Chenliang Xu
CVPR'21: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation
Yapeng Tian, Di Hu, and Chenliang Xu
CVPR'21: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing
Yapeng Tian, Dingzeyu Li, and Chenliang Xu
ECCV'20 Spotlight: European Conference on Computer Vision.
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'20: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
TDAN: Temporally Deformable Alignment Network for Video Super-Resolution
Yapeng Tian, Yulun Zhang, Yun Fu, and Chenliang Xu
CVPR'20: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
This is the first work that uses deformable alignment to address video restoration.
Deep Audio Prior
Yapeng Tian, Chenliang Xu, and Dingzeyu Li
CVPRW'20: CVPR Workshops.
Interpretable and Controllable Audio-Visual Video Captioning
Yapeng Tian, Chenxiao Guan, Goodman Justin, Marc Moore, and Chenliang Xu
CVPRW'19: CVPR Workshops.
Multisensory interpretability in terms of the audio-visual video captioning task.
Audio-Visual Event Localization in Unconstrained Videos
Yapeng Tian, Jing Shi, Bochen Li, Zhiyao Duan, Chenliang Xu
ECCV'18: European Conference on Computer Vision.
Learning to Answer Questions in Dynamic Audio-Visual Scenarios
Guangyao Li‡, Yake Wei‡, Yapeng Tian‡, Chenliang Xu, Ji-Rong Wen, and Di Hu
CVPR'22 Oral: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Space-Time Memory Network for Sounding Object Localization in Videos
Sizhe Li‡, Yapeng Tian‡, and Chenliang Xu
BMVC'21: The British Machine Vision Conference.
Can audio-visual integration strengthen robustness under multimodal attacks?
Yapeng Tian and Chenliang Xu
CVPR'21: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation
Yapeng Tian, Di Hu, and Chenliang Xu
CVPR'21: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing
Yapeng Tian, Dingzeyu Li, and Chenliang Xu
ECCV'20 Spotlight: European Conference on Computer Vision.
Deep Audio Prior
Yapeng Tian, Chenliang Xu, and Dingzeyu Li
CVPRW'20: CVPR Workshops.
Interpretable and Controllable Audio-Visual Video Captioning
Yapeng Tian, Chenxiao Guan, Goodman Justin, Marc Moore, and Chenliang Xu
CVPRW'19: CVPR Workshops.
Multisensory interpretability in terms of the audio-visual video captioning task.
Audio-Visual Event Localization in Unconstrained Videos
Yapeng Tian, Jing Shi, Bochen Li, Zhiyao Duan, Chenliang Xu
ECCV'18: European Conference on Computer Vision.
Learning Spatio-Temporal Downsampling for Effective Video Upscaling
Xiaoyu Xiang, Yapeng Tian, Vijay Rengarajan, Lucas Young, Bo Zhu, Rakesh Ranjan
ECCV'22: European Conference on Computer Vision.
Video Matting via Consistency-Regularized Graph Neural Networks
Tiantian Wang, Sifei Liu, Yapeng Tian, Kai Li, and Ming-Hsuan Yang
ICCV'21: IEEE/CVF International Conference on Computer Vision.
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'20: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
TDAN: Temporally Deformable Alignment Network for Video Super-Resolution
Yapeng Tian, Yulun Zhang, Yun Fu, and Chenliang Xu
CVPR'20: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
This is the first work that uses deformable alignment to address video restoration.
DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging
Jun Lyu, Bin Sui, Chengyan Wang, Yapeng Tian, Qi Dou, and Jing Qin
MICCAI'22: Medical Image Computing and Computer Assisted Intervention.
Transformer-empowered Multi-contrast MRI Super-Resolution
Guangyuan Li, Jun Lv, Yapeng Tian, Qi Dou, Chengyan Wang, Chenliang Xu, Jing Qin
CVPR'22: IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution
Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, Jie Zhou
AAAI'22: The AAAI Conference on Artificial Intelligence.
Efficient Non-Local Contrastive Attention for Image Super-Resolution
Bin Xia‡, Yucheng Hang‡, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou
AAAI'22: The AAAI Conference on Artificial Intelligence.
Residual Dense Network for Image Super-Resolution
Yulun Zhang, Yapeng Tian, Yu Kong , Bineng Zhong, Yun Fu
TPAMI'20: IEEE Transactions on Pattern Analysis and Machine Intelligence.
CFSNet: Toward a Controllable Feature Space for Image Restoration
Wei Wang‡, Ruiming Guo‡, Yapeng Tian, and Wenming Yang
ICCV'19: IEEE/CVF International Conference on Computer Vision.
LCSCNet: Linear Compressing Based Skip-Connecting Network for ISR
Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao
TIP'19: IEEE Trans. Image Processing.
Deep Learning for Single Image Super-Resolution: A Brief Review
Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, JingHao Xue, Qingmin Liao
TMM'19: IEEE Trans. Multimedia.
Residual Dense Network for Image Super-Resolution
Yulun Zhang, Yapeng Tian, Yu Kong , Bineng Zhong, Yun Fu
CVPR'18 Spotlight: IEEE/CVF Conf. on Computer Vision and Pattern Recognition.
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
Timofte et al.
CVPRW'17: CVPR Workshops.
Consistent Coding Scheme for Single-Image Super-Resolution
Wenming Yang, Yapeng Tian, Fei Zhou, Qingmin Liao, Hai Chen, Chenglin Zheng
TMM'16: EEE Trans. Multimedia. (First student author)
Anchored Neighborhood Regression based SISR from Self-examples
Yapeng Tian, Fei Zhou, Wenming Yang, Xuesen Shang, Qingmin Liao
ICIP'16: IEEE International Conference on Image Processing.
SISR Using Clustering-Based Global Regression and Propagation Filtering
Wenming Yang, Yapeng Tian, Fei Zhou, ..., Qingmin Liao
ACPR'15 Oral: Asian Conference on Pattern Recognition. (First student author)
Organizer:
Senior Program Committee or Area Chair:
Conference Program Committee/Reviewer:
Journal Reviewer:
Talks and Seminars:
KTH Dive-Deep Seminar, Dec. 2021
RIT PhD Colloquium Series, Oct. 2021
CVPR Doctoral Consortium, 2022
Top 10% of High-Scoring Reviewers for NeurIPS, 2020
Invited attendee of Amazon Graduate Student Symposium, Seattle, USA, 2019
Outstanding Graduate of Tsinghua University, 2017
Outstanding Master Thesis Award, Tsinghua University, 2017
National Scholarship, Tsinghua University, 2016
Second-class Scholarship, Tsinghua University, 2015
Full CV in PDF.
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