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.


Service


Program Committee Member: CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML.

Journal Reviewer: IJCV, TPAMI, TIP.

Best Student Paper Award Runner Up: BMVC 2020.

Top Reviewer: NeurIPS 2019.

Travel Award: NeurIPS 2018.


Publications In 2020s  [Previous] [Google Scholar]


Recasting Regional Lighting for Shadow Removal
Yuhao Liu, Zhanghan Ke, Ke Xu*, Fang Liu, Zhenwei Wang, Rynson Lau
Proc. AAAI (Oral), Feb. 2024
[Paper]
Multi-view Reflection Dynamics for Video Glass Surface Detection
Fang Liu, Yuhao Liu, Jiaying Lin, Ke Xu*, Rynson Lau
Proc. AAAI, Feb. 2024
[Paper]
ZOOM: Learning Video Mirror Detection With Extremely-Weak Supervision
Ke Xu*, Tsun Wai Siu*, Rynson Lau
Proc. AAAI, Feb. 2024
[Paper]
SAILOR: Synergizing Radiance and Occupancy Fields for Live Human Performance Capture
Zheng Dong, Ke Xu, Yaoan Gao, Qilin Sun, Hujun Bao, Weiwei Xu, Rynson Lau
ACM Trans. on Graphics (Proc. ACM SIGGRAPH Asia), Dec. 2023
[Paper]
Lighting up NeRF via Unsupervised Decomposition and Enhancement
Haoyuan Wang, Xiaogang Xu, Ke Xu*, Rynson Lau
Proc. IEEE ICCV, Oct. 2023
[Paper]
Adaptive Illumination Mapping for Shadow Detection in Raw Images
Jiayu Sun*, Ke Xu*, Youwei Pang, Lihe Zhang, Huchuan Lu, Gerhard Hancke, Rynson Lau
Proc. IEEE ICCV, Oct. 2023
[Paper]
Learning Image Harmonization in the Linear Color Space
Ke Xu, Gerhard Hancke, Rynson Lau
Proc. IEEE ICCV, Oct. 2023
[Paper]
Referring Image Segmentation Using Text Supervision
Fang Liu, Yuhao Liu, Yuqiu Kong, Ke Xu*, Lihe Zhang, Baocai Yin, Gerhard Hancke, Rynson Lau
Proc. IEEE ICCV, Oct. 2023
[Paper]
Camouflaged Object Segmentation with Omni Perception
Haiyang Mei, Ke Xu, Yunduo Zhou, Yang Wang, Haiyin Piao, Xiaopeng Wei, Xin Yang
International Journal of Computer Vision (IJCV), 2023
[Paper]
Structure-Informed Shadow Removal Networks
Yuhao Liu, Qing Guo, Lan Fu, Zhanghan Ke, Ke Xu, Wei Feng, Ivor Tsang, Rynson Lau
IEEE Trans. on Image Processing (TIP), 2023
[Paper]
Boosting Night-time Scene Parsing with Learnable Frequency
Zhifeng Xie, Sen Wang, Ke Xu, Zhizhong Zhang, Xin Tan, Yuan Xie, Lizhuang Ma
IEEE Trans. on Image Processing (TIP), 2023
[Paper|Code]
MAKE: Product Retrieval with Vision-Language Pre-training in Taobao Search
Xiaoyang Zheng, Zilong Wang, Sen Li, Ke Xu*, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng
Proc. The Web Conference (WWW Industry Track), 2023
[Paper]
Geometry-aware Two-scale PIFu Representation for Human Reconstruction
Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson Lau
Proc. NeurIPS (Spotlight), Nov. 2022
[Paper|Code]
Semantics-Adding Flaw-Erasing Network for Semantic Human Matting
Jiayu Sun, Zhanghan Ke, Ke Xu, Guofeng Zhang, Lihe Zhang, Huchuan Lu, Rynson Lau
Proc. BMVC (Oral), Nov. 2022
[Paper|Code]
Weakly-Supervised Salient Object Detection on Light Fields
Zijian Liang, Pengjie Wang, Ke Xu, Pingping Zhang, Rynson Lau
IEEE Trans. on Image Processing (TIP), 2022
[Paper]
Harmonizer: Learning to Perform White-Box Image and Video Harmonization
Zhanghan Ke, Chunyi Sun, Lei Zhu, Ke Xu, Rynson Lau
Proc. ECCV, Oct. 2022
[Paper|Code|Youtube Demo 1|Demo 2]
Local Color Distributions Prior for Image Enhancement
Haoyuan Wang, Ke Xu*, Rynson Lau
Proc. ECCV, Oct. 2022
[Paper|Project]
Mirror Detection with the Visual Chirality Cue
Xin Tan, Jiaying Lin, Ke Xu*, Pan Chen, Lizhuang Ma, Rynson Lau
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2022
[Paper|Code]
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
[Paper|Code]
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]
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]
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]
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]