Ke XU 许 可 Research Fellow City University of Hong Kong Email: kkangwing at gmail dot com

Biography

I currently work at the City University of Hong Kong. I obtained a dual PhD in Computer Science from Dalian University of Technology and City University of Hong Kong in 2021. My research interest lies at the intersection of computer vision, computer graphics, and machine learning, where I explore advanced AI techniques to facilitate computers to see, understand, and recreate the richness of content in everyday and professional activities. My work addresses challenges of capture and learning, including imaging and building effective representations under harsh conditions (e.g., low and/or high illumination, rain, and sparse capture rigs) at varying time/scene/data scales. My research papers generally appear in premier venues featuring computer vision, graphics, and machine learning (e.g., CVPR/SIGGRAPH (Asia)/NeurIPS).

Service/Award

Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, SIGGRAPH (Asia)

Journal Reviewer: IJCV, TPAMI, TIP

CVPR Outstanding Reviewer 2025

IJCV Outstanding Reviewer Award 2024

BMVC Best Student Paper Runner-Up Award 2020

NeurIPS Top Reviewer 2019

Selected Publications  [Google Scholar] [DBLP] [ORCID] [OpenReview]

HRC-Net: Learning Visual Hypothesis, Representative, and Collaboration for Multi-Domain Image Inpainting Xin Wang, Di Lin, Wanchao Su, Ji Du, Renjie Zhang, Jie Zhang, Haotian Dong, Ke Xu, Qing Guo, Ping Li ACM Trans. on Graphics (Proc. ACM SIGGRAPH Asia, conditionally accepted), Dec. 2025 [Paper|Code]

StyleSculptor: Zero-Shot Stylized 3D Asset Generation with Texture-Geometry Dual Guidance Zefan Qu, Zhenwei Wang, Haoyuan Wang, Ke Xu, Gerhard Hancke, Rynson Lau Proc. ACM SIGGRAPH Asia (conditionally accepted), Dec. 2025 [Paper|Code]

SEHDR: Single-Exposure HDR Novel View Synthesis via 3D Gaussian Bracketing Yiyu Li, Haoyuan Wang, Ke Xu, Gerhard Hancke, Rynson Lau Proc. IEEE ICCV, Oct. 2025 [Paper|Code]

4D Gaussian Video with Motion Layering Pinxuan Dai, Peiquan Zhang, Zheng Dong, Ke Xu, Yifan Peng, Dandan Ding, Yujun Shen, Yin Yang, Xinguo Liu, Rynson Lau, Weiwei Xu ACM Trans. on Graphics (Proc. ACM SIGGRAPH), Aug. 2025 [Paper|Code]

Language-Guided Salient Object Ranking Fang Liu, Yuhao Liu, Ke Xu, Shuquan Ye, Gerhard Hancke, Rynson Lau Proc. IEEE CVPR, June 2025 [Paper|Code]

GhostingNet: a Novel Approach for Glass Surface Detection with Ghosting Cues Tao Yan, Jiahui Gao, Ke Xu, Xiangjie Zhu, Hao Huang, Helong Li, Benjamin Wah, Rynson Lau IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2025 [Paper|Code]

APANet: Asymmetrical Parallax Attention Network For Efficient Stereo Image Deraining Chenglong Wang, Tao Yan, Weilong Huang, Xianglong Chen, Ke Xu, Xiaojun Chang IEEE Trans. on Computational Imaging (TCI), 2025 [Paper|Code]

LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes Zefan Qu, Ke Xu*, Gerhard Hancke, Rynson Lau Proc. NeurIPS, Dec. 2024 [Paper|Code]

Gaussian Surfel Splatting for Live Human Performance Capture Zheng Dong, Ke Xu, Yaoan Gao, Hujun Bao, Weiwei Xu, Rynson Lau ACM Trans. on Graphics (Proc. ACM SIGGRAPH Asia), Dec. 2024 [Paper|Code|Video1|Video2]

Unsupervised Salient Instance Detection Xin Tian, Ke Xu*, Rynson Lau Proc. IEEE CVPR, June 2024 [Paper]

Color Shift Estimation-and-Correction for Image Enhancement Yiyu Li, Ke Xu, Gerhard Hancke, Rynson Lau Proc. IEEE CVPR, June 2024 [Paper|Project]

Effective Video Mirror Detection with Inconsistent Motion Cues Alex Warren, Ke Xu, Jiaying Lin, Garry Tam, Rynson Lau Proc. IEEE CVPR, June 2024 [Paper|Project|Video]

Recasting Regional Lighting for Shadow Removal Yuhao Liu, Zhanghan Ke, Ke Xu*, Fang Liu, Zhenwei Wang, Rynson Lau Proc. AAAI (Oral), Feb. 2024 [Paper|Dataset&Results]

Multi-view Reflection Dynamics for Video Glass Surface Detection Fang Liu, Yuhao Liu, Jiaying Lin, Ke Xu*, Rynson Lau Proc. AAAI, Feb. 2024 [Paper|Code]

ZOOM: Learning Video Mirror Detection With Extremely-Weak Supervision Ke Xu*, Tsun Wai Siu*, Rynson Lau Proc. AAAI, Feb. 2024 [Paper|Dataset]

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|Project]

Lighting up NeRF via Unsupervised Decomposition and Enhancement Haoyuan Wang, Xiaogang Xu, Ke Xu*, Rynson Lau Proc. IEEE ICCV, Oct. 2023 [Paper|Project]

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|Project]

Learning Image Harmonization in the Linear Color Space Ke Xu, Gerhard Hancke, Rynson Lau Proc. IEEE ICCV, Oct. 2023 [Paper|Project]

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|Project]

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|Code]

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]

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|Project]

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 (Best Student Paper Runner-Up), 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]

Where is My Mirror? Xin Yang, Haiyang Mei, Ke Xu, Xiaopeng Wei, Baocai Yin, Rynson Lau Proc. IEEE ICCV, Oct. 2019 [Paper|Project]

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, Rynson Lau Proc. IEEE CVPR, June 2019 [Paper|Code|Dataset]

Active Matting Xin Yang*, Ke Xu*, Shaozhe Chen, Shengfeng He, Baocai Yin, Rynson Lau Proc. NeurIPS, Dec. 2018 [Paper|Code|Dataset]

Image Correction via Deep Reciprocating HDR Transformation Xin Yang*, Ke Xu*, Yibing Song, Qiang Zhang, Xiaopeng Wei, Rynson Lau (* joint first authors) Proc. IEEE CVPR, June 2018 [Paper|Code|Dataset]