Welcome to Xiangyu Xu's Homepage!

All that you do, do with your might.


Contact me: xuxiangyu2014@gmail.com

I am currently a research fellow at Nanyang Technological University.

My research interest lies at the intersection of Image Processing, Computer Vision, and Machine Learning. In particular, my work focuses on understanding different aspects of visual information in images and videos, including color, texture, motion, depth, illumination, geometry, etc., and developing algorithms to reconstruct and enhance them.

Short bio: I did my postdoc at Carnegie Mellon University and Massachusetts Institute of Technology from 2019 to 2020. I worked as a research scientist at SenseTime from 2018 to 2019. I got the Ph.D. degree in the Department of Electronic Engineering at Tsinghua University in 2018. Before this, I received my B.Eng degree in the Department of Electronic Engineering at Tsinghua University, and my B.Ec degree in the National School of Development at Peking University. I was a visiting scholar at University of California, Merced and Harvard University. I have been fortunate to work with Yu-Jin Zhang at Tsinghua, Ming-Hsuan Yang at UC Merced, Deqing Sun and Hanspeter Pfister at Harvard, Fernando De la Torre, Francesc Moreno-Noguer, and Laszlo A. Jeni at CMU, George Barbastathis at MIT, Chen Change Loy at NTU.

Publications


Xiangyu Xu, Yongrui Ma, Wenxiu Sun, and Ming-Hsuan Yang, "Exploiting Raw Images for Real-Scene Super-Resolution", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

[Paper, Project]


Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, Laszlo A. Jeni, and Fernando De la Torre, "3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning", European Conference on Computer Vision (ECCV), 2020.

[Paper, Project]


Xiangyu Xu, Muchen Li, Wenxiu Sun, and Ming-Hsuan Yang, "Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising", IEEE Transactions on Image Processing (TIP), 2020.

[Paper, Project]


Xiangyu Xu, Yongrui Ma, Wenxiu Sun, "Learning Factorized Weight Matrix for Joint Filtering", International Conference on Machine Learning (ICML), 2020.

[Paper]


Xiangyu Xu, Siyao Li, Wenxiu Sun, Qian Yin, and Ming-Hsuan Yang, "Quadratic Video Interpolation", Advances in Neural Information Processing Systems (NeurIPS), 2019. (spotlight, 1st place in the video interpolation challenge of ICCV 2019)

[Paper, Project]


Xiangyu Xu, Yongrui Ma, Wenxiu Sun, "Towards Real Scene Super-Resolution with Raw Images", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

[Paper, Project]


Wenqi Ren, Sifei Liu, Lin Ma, Qianqian Xu, Xiangyu Xu, Xiaochun Cao, Junping Du, and Ming-Hsuan Yang, "Low-Light Image Enhancement via a Deep Hybrid Network", IEEE Transactions on Image Processing (TIP), 2019.

[Paper]



Xiangyu Xu, Deqing Sun, Sifei Liu, Wenqi Ren, Yu-Jin Zhang, Ming-Hsuan Yang, and Jian Sun, "Rendering Portraitures from Monocular Camera and Beyond", European Conference on Computer Vision (ECCV), 2018.

[Paper]


Yukang Gan*, Xiangyu Xu*, Wenxiu Sun, and Liang Lin, "Monocular Depth Estimation with Affinity, Vertical Pooling and Label Enhancement", European Conference on Computer Vision (ECCV), 2018.

(* indicates equal contribution)

[Paper]


Xiangyu Xu, Jinshan Pan, Yu-Jin Zhang, and Ming-Hsuan Yang, "Motion Blur Kernel Estimation via Deep Learning", IEEE Transactions on Image Processing (TIP), 2018.

[Paper, Project]


Wenqi Ren*, Jingang Zhang*, Xiangyu Xu*, Lin Ma, Xiaochun Cao, Gaofeng Meng, and Wei Liu, "Deep Video Dehazing with Semantic Segmentation'', IEEE Transactions on Image Processing (TIP), 2018.

(* indicates equal contribution)

[Paper]


Xiangyu Xu, Deqing Sun, Jinshan Pan, Yu-Jin Zhang, Hanspeter Pfister, and Ming-Hsuan Yang, "Learning to Super-resolve Blurry Face and Text Images", IEEE International Conference on Computer Vision (ICCV), 2017.

[Paper, Project]

Professional service

  • Conference reviewer: ICCV, CVPR, ECCV, BMVC, ACCV, WACV, NeurIPS, ICLR, AAAI, IJCAI

  • Journal reviewer: IEEE TPAMI, IEEE TIP, IEEE TVCG, IJCV, ACM TOG