Ke XU

许 可

Postdoctoral Researcher

City University of Hong Kong

Email: kkangwing at gmail dot com

Biography


Ke XU currently works at City University of Hong Kong. He has obtained the dual Ph.D. degrees from Dalian University of Technology and City University of Hong Kong in 2021. He aims to design effective visual perceptual models, to align the camera system of AI agents with the capacity of the human visual system in the wild.


Professional Service Highlights


Program Committee Member/Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, BMVC, WACV, ACCV.

Journal Reviewer: IJCV, TIP, TMM, TCSVT, TOMM.

Best Student Paper Award Runner Up: BMVC 2020.

Top Reviewer: NeurIPS 2019.

Travel Award: NeurIPS 2018.


Publications In 2020s  [Previous] [Google Scholar]


Bi-directional Object-context Prioritization Learning for Saliency Ranking
Xin Tian, Ke Xu, Xin Yang, Lin Du, Baocai Yin, Rynson Lau
Proc. IEEE CVPR, June 2022
[Paper|Code]
Rethinking Efficient Lane Detection via Curve Modeling
Zhengyang Feng, Shaohua Guo, Xin Tan, Ke Xu, Min Wang, Lizhuang Ma
Proc. IEEE CVPR, June 2022
[Paper|Project]
ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-high Resolution Segmentation
Shaohua Guo, Liang Liu, Zhenye Gan, Yabiao Wang, Wuhao Zhang, Chengjie Wang,
Guannan Jiang, Wei Zhang, Ran Yi, Lizhuang Ma, Ke Xu
Proc. IEEE CVPR, June 2022
[Coming soon]
Learning to Detect Instance-level Salient Objects Using Complementary Image Labels
Xin Tian*, Ke Xu*, Xin Yang, Baocai Yin, Rynson Lau
International Journal of Computer Vision (IJCV), 2022
[Paper|Code coming soon]
Total Scale: Face-to-Body Detail Reconstruction from Sparse RGBD Sensors
Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson Lau
Arxiv Preprint, 2021
[Paper]
Night-time Scene Parsing with a Large Real Dataset
Xin Tan, Ke Xu*, Ying Cao, Yiheng Zhang, Lizhuang Ma, Rynson Lau
IEEE Trans. on Image Processing (TIP), 2021
[Paper|Project]
Intensity-Aware Single-Image Deraining with Semantic and Color Regularization
Ke Xu, Xin Tian, Xin Yang, Baocai Yin, Rynson Lau
IEEE Trans. on Image Processing (TIP), 2021
[Paper|Code coming soon]
Mitigating Intensity Bias in Shadow Detection via Feature Decomposition and Reweighting
Lei Zhu, Ke Xu*, Zhanghan Ke, Rynson Lau
Proc. IEEE ICCV, Oct. 2021
[Paper|Code]
Location-aware Single Image Reflection Removal
Zheng Dong, Ke Xu, Yin Yang, Hujun Bao, Weiwei Xu, Rynson Lau
Proc. IEEE ICCV, Oct. 2021
[Paper|Project]
Weakly-Supervised Salient Instance Detection
Xin Tian, Ke Xu, Xin Yang, Baocai Yin, Rynson Lau
Proc. BMVC (Oral), Sept. 2020
[Paper|Code coming soon]
Learning to Restore Low-Light Images via Decomposition-and-Enhancement
Ke Xu, Xin Yang, Baocai Yin, Rynson Lau
Proc. IEEE CVPR, June 2020
[Paper|Code|Dataset]