Ke XU
许 可
Research Fellow
City University of Hong Kong
Email: kkangwing at gmail dot com
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Ke XU许 可 Research Fellow City University of Hong Kong Email: kkangwing at gmail dot com |
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. His research interests are developing AI techniques to solve challenging computer vision and interactive graphics problems, focusing on scene processing and 3D reconstruction that can enhance AI agents' capacities for augmenting and interacting with humans. While the scene processing enhances the perception quality (e.g., under harsh environmental conditions) and extracts effective scene information, the 3D reconstruction provides an accurate 3D proxy for human-AI interactions. His research papers appear in top venues featuring computer vision, graphics, and machine learning (e.g., CVPR/ICCV/SIGGRAPH Asia/NeurIPS).
Program Committee Member: CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI
Journal Reviewer: IJCV, TPAMI, TIP, CGF
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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] |
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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|Video] |
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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), 2024 [Paper|Code] |
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Unsupervised Salient Instance Detection
Xin Tian, Ke Xu*, Rynson Lau Proc. IEEE CVPR, June 2024 [Paper] |
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Color Shift Estimation-and-Correction for Image Enhancement
Yiyu Li, Ke Xu, Gerhard Hancke, Rynson Lau Proc. IEEE CVPR, June 2024 [Paper|Project] |
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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] |
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Recasting Regional Lighting for Shadow Removal
Yuhao Liu, Zhanghan Ke, Ke Xu*, Fang Liu, Zhenwei Wang, Rynson Lau Proc. AAAI (Oral), Feb. 2024 [Paper] |
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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] |
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ZOOM: Learning Video Mirror Detection With Extremely-Weak Supervision
Ke Xu*, Tsun Wai Siu*, Rynson Lau Proc. AAAI, Feb. 2024 [Paper] |
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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] |
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Lighting up NeRF via Unsupervised Decomposition and Enhancement
Haoyuan Wang, Xiaogang Xu, Ke Xu*, Rynson Lau Proc. IEEE ICCV, Oct. 2023 [Paper|Project] |
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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] |
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Learning Image Harmonization in the Linear Color Space
Ke Xu, Gerhard Hancke, Rynson Lau Proc. IEEE ICCV, Oct. 2023 [Paper|Project] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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Local Color Distributions Prior for Image Enhancement
Haoyuan Wang, Ke Xu*, Rynson Lau Proc. ECCV, Oct. 2022 [Paper|Project] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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Where is My Mirror?
Xin Yang, Haiyang Mei, Ke Xu, Xiaopeng Wei, Baocai Yin, Rynson Lau Proc. IEEE ICCV, Oct. 2019 [Paper|Project] |
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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] |
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Active Matting
Xin Yang*, Ke Xu*, Shaozhe Chen, Shengfeng He, Baocai Yin, Rynson Lau Proc. NeurIPS, Dec. 2018 [Paper|Code|Dataset] |
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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] |