Ke Xu

According to our database, Ke Xu authored at least 40 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Delving into Dark Regions for Robust Shadow Detection.

Huankang Guan, Ke Xu, Rynson W. H. Lau

CoRR, 2024

Multi-View Dynamic Reflection Prior for Video Glass Surface Detection.

Fang Liu, Yuhao Liu, Jiaying Lin, Ke Xu, Rynson W. H. Lau

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Recasting Regional Lighting for Shadow Removal.

Yuhao Liu, Zhanghan Ke, Ke Xu, Fang Liu, Zhenwei Wang, Rynson W. H. Lau

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision.

Ke Xu, Tsun Wai Siu, Rynson W. H. Lau

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SAILOR: Synergizing Radiance and Occupancy Fields for Live Human Performance Capture.

Zheng Dong, Ke Xu, Yaoan Gao, Qilin Sun, Hujun Bao, Weiwei Xu, Rynson W. H. Lau

ACM Trans. Graph., December, 2023

HSNet: hierarchical semantics network for scene parsing.

Xin Tan, Jiachen Xu, Ying Cao, Ke Xu, Lizhuang Ma, Rynson W. H. Lau

Vis. Comput., July, 2023

Mirror Detection With the Visual Chirality Cue.

Xin Tan, Jiaying Lin, Ke Xu, Pan Chen, Lizhuang Ma, Rynson W. H. Lau

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks.

Yang Wang, Bo Dong, Ke Xu, Haiyin Piao, Yufei Ding, Baocai Yin, Xin Yang

ACM Trans. Multim. Comput. Commun. Appl., 2023

Mirror Segmentation via Semantic-aware Contextual Contrasted Feature Learning.

Haiyang Mei, Letian Yu, Ke Xu, Yang Wang, Xin Yang, Xiaopeng Wei, Rynson W. H. Lau

ACM Trans. Multim. Comput. Commun. Appl., 2023

Frequency-aware Camouflaged Object Detection.

Jiaying Lin, Xin Tan, Ke Xu, Lizhuang Ma, Rynson W. H. Lau

ACM Trans. Multim. Comput. Commun. Appl., 2023

Boosting Night-Time Scene Parsing With Learnable Frequency.

Zhifeng Xie, Sen Wang, Ke Xu, Zhizhong Zhang, Xin Tan, Yuan Xie, Lizhuang Ma

IEEE Trans. Image Process., 2023

Structure-Informed Shadow Removal Networks.

Yuhao Liu, Qing Guo, Lan Fu, Zhanghan Ke, Ke Xu, Wei Feng, Ivor W. Tsang, Rynson W. H. Lau

IEEE Trans. Image Process., 2023

Camouflaged Object Segmentation with Omni Perception.

Haiyang Mei, Ke Xu, Yunduo Zhou, Yang Wang, Haiyin Piao, Xiaopeng Wei, Xin Yang

Int. J. Comput. Vis., 2023

MAKE: Vision-Language Pre-training based Product Retrieval in Taobao Search.

Xiaoyang Zheng, Zilong Wang, Sen Li, Ke Xu, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Lighting up NeRF via Unsupervised Decomposition and Enhancement.

Haoyuan Wang, Xiaogang Xu, Ke Xu, Rynson W. H. Lau

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Illumination Mapping for Shadow Detection in Raw Images.

Jiayu Sun, Ke Xu, Youwei Pang, Lihe Zhang, Huchuan Lu, Gerhard P. Hancke, Rynson W. H. Lau

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Referring Image Segmentation Using Text Supervision.

Fang Liu, Yuhao Liu, Yuqiu Kong, Ke Xu, Lihe Zhang, Baocai Yin, Gerhard P. Hancke, Rynson W. H. Lau

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Image Harmonization in the Linear Color Space.

Ke Xu, Gerhard Petrus Hancke, Rynson W. H. Lau

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Weakly-Supervised Salient Object Detection on Light Fields.

Zijian Liang, Pengjie Wang, Ke Xu, Pingping Zhang, Rynson W. H. Lau

IEEE Trans. Image Process., 2022

Learning to Detect Instance-Level Salient Objects Using Complementary Image Labels.

Xin Tian, Ke Xu, Xin Yang, Baocai Yin, Rynson W. H. Lau

Int. J. Comput. Vis., 2022

Geometry-aware Two-scale PIFu Representation for Human Reconstruction.

Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson W. H. Lau

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Local Color Distributions Prior for Image Enhancement.

Haoyuan Wang, Ke Xu, Rynson W. H. Lau

Proceedings of the Computer Vision - ECCV 2022, 2022

Harmonizer: Learning to Perform White-Box Image and Video Harmonization.

Zhanghan Ke, Chunyi Sun, Lei Zhu, Ke Xu, Rynson W. H. Lau

Proceedings of the Computer Vision - ECCV 2022, 2022

Bi-directional Object-Context Prioritization Learning for Saliency Ranking.

Xin Tian, Ke Xu, Xin Yang, Lin Du, Baocai Yin, Rynson W. H. Lau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Rethinking Efficient Lane Detection via Curve Modeling.

Zhengyang Feng, Shaohua Guo, Xin Tan, Ke Xu, Min Wang, Lizhuang Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Semantics-Adding Flaw-Erasing Network for Semantic Human Matting.

Jiayu Sun, Zhanghan Ke, Ke Xu, Fan Shao, Lihe Zhang, Huchuan Lu, Rynson W. H. Lau

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Intensity-Aware Single-Image Deraining With Semantic and Color Regularization.

Ke Xu, Xin Tian, Xin Yang, Baocai Yin, Rynson W. H. Lau

IEEE Trans. Image Process., 2021

Night-Time Scene Parsing With a Large Real Dataset.

Xin Tan, Ke Xu, Ying Cao, Yiheng Zhang, Lizhuang Ma, Rynson W. H. Lau

IEEE Trans. Image Process., 2021

Total Scale: Face-to-Body Detail Reconstruction from Sparse RGBD Sensors.

Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson W. H. Lau

CoRR, 2021

Mitigating Intensity Bias in Shadow Detection via Feature Decomposition and Reweighting.

Lei Zhu, Ke Xu, Zhanghan Ke, Rynson W. H. Lau

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Location-aware Single Image Reflection Removal.

Zheng Dong, Ke Xu, Yin Yang, Hujun Bao, Weiwei Xu, Rynson W. H. Lau

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Learning to Restore Low-Light Images via Decomposition-and-Enhancement.

Ke Xu, Xin Yang, Baocai Yin, Rynson W. H. Lau

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Weakly-supervised Salient Instance Detection.

Xin Tian, Ke Xu, Xin Yang, Baocai Yin, Rynson W. H. Lau

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution With Large Factors.

Xin Yang, Haiyang Mei, Jiqing Zhang, Ke Xu, Baocai Yin, Qiang Zhang, Xiaopeng Wei

IEEE Trans. Multim., 2019

Where Is My Mirror?

Xin Yang, Haiyang Mei, Ke Xu, Xiaopeng Wei, Baocai Yin, Rynson W. H. Lau

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset.

Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, Rynson W. H. Lau

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Efficient image super-resolution integration.

Ke Xu, Xin Wang, Xin Yang, Shengfeng He, Qiang Zhang, Baocai Yin, Xiaopeng Wei, Rynson W. H. Lau

Vis. Comput., 2018

Active Matting.

Xin Yang, Ke Xu, Shaozhe Chen, Shengfeng He, Baocai Yin, Rynson W. H. Lau

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Image Correction via Deep Reciprocating HDR Transformation.

Xin Yang, Ke Xu, Yibing Song, Qiang Zhang, Xiaopeng Wei, Rynson W. H. Lau

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018