Ke Xu

Orcid: 0000-0001-5855-3810

Affiliations:
  • City University of Hong Kong
  • Dalian University of Technology, Department of Electronic Information and Electrical Engineering, China


According to our database1, Ke Xu authored at least 45 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
GhostingNet: A Novel Approach for Glass Surface Detection With Ghosting Cues.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025

2024
Gaussian Surfel Splatting for Live Human Performance Capture.
ACM Trans. Graph., December, 2024

Delving into Dark Regions for Robust Shadow Detection.
CoRR, 2024

Effective Video Mirror Detection with Inconsistent Motion Cues.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unsupervised Salient Instance Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Color Shift Estimation-and-Correction for Image Enhancement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-View Dynamic Reflection Prior for Video Glass Surface Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Recasting Regional Lighting for Shadow Removal.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
SAILOR: Synergizing Radiance and Occupancy Fields for Live Human Performance Capture.
ACM Trans. Graph., December, 2023

HSNet: hierarchical semantics network for scene parsing.
Vis. Comput., July, 2023

Mirror Detection With the Visual Chirality Cue.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Mirror Segmentation via Semantic-aware Contextual Contrasted Feature Learning.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Frequency-aware Camouflaged Object Detection.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Boosting Night-Time Scene Parsing With Learnable Frequency.
IEEE Trans. Image Process., 2023

Structure-Informed Shadow Removal Networks.
IEEE Trans. Image Process., 2023

Camouflaged Object Segmentation with Omni Perception.
Int. J. Comput. Vis., 2023

MAKE: Vision-Language Pre-training based Product Retrieval in Taobao Search.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Lighting up NeRF via Unsupervised Decomposition and Enhancement.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Illumination Mapping for Shadow Detection in Raw Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Referring Image Segmentation Using Text Supervision.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Image Harmonization in the Linear Color Space.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Weakly-Supervised Salient Object Detection on Light Fields.
IEEE Trans. Image Process., 2022

Learning to Detect Instance-Level Salient Objects Using Complementary Image Labels.
Int. J. Comput. Vis., 2022

Geometry-aware Two-scale PIFu Representation for Human Reconstruction.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022

Harmonizer: Learning to Perform White-Box Image and Video Harmonization.
Proceedings of the Computer Vision - ECCV 2022, 2022

Bi-directional Object-Context Prioritization Learning for Saliency Ranking.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Rethinking Efficient Lane Detection via Curve Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Semantics-Adding Flaw-Erasing Network for Semantic Human Matting.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Intensity-Aware Single-Image Deraining With Semantic and Color Regularization.
IEEE Trans. Image Process., 2021

Night-Time Scene Parsing With a Large Real Dataset.
IEEE Trans. Image Process., 2021

Total Scale: Face-to-Body Detail Reconstruction from Sparse RGBD Sensors.
CoRR, 2021

Mitigating Intensity Bias in Shadow Detection via Feature Decomposition and Reweighting.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Location-aware Single Image Reflection Removal.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Learning to Restore Low-Light Images via Decomposition-and-Enhancement.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Weakly-supervised Salient Instance Detection.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution With Large Factors.
IEEE Trans. Multim., 2019

Where Is My Mirror?
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Efficient image super-resolution integration.
Vis. Comput., 2018

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


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