Publications

Point Cloud Densification for 3D Gaussian Splatting from Sparse Input Views
In ACM Multimedia (ACM-MM), 2024. (Corresponding Author)
Kin-Chung Chan, Jun Xiao, Hana Lebeta Goshu, Kin-Man Lam
Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning
In European Conference on Computer Vision Workshop (ECCV-W), 2024. (Corresponding Author)
Yushen Zuo, Jun Xiao, Kin-Chung Chan, Rongkang Dong, Cuixin Yang, Zongqi He, Hao Xie, Kin-Man Lam
Learning Equilibrium Transformation for Gamut Expansion and Color Restoration
In European Conference on Computer Vision (ECCV), 2024.
Jun Xiao, Changjian Shui, Zhi-Song Liu, Qian Ye, Kin-Man Lam
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models
In European Conference on Computer Vision Workshop (ECCV-W), 2024.
Jun Xiao, Zihang Lyu, Hao Xie, Cong Zhang, Yakun Ju, Changjian Shui, Kin-Man Lam
Bridging Text and Image for Artist Style Transfer via Contrastive Learning
In European Conference on Computer Vision Workshop (ECCV-W), 2024.
Zhi-Song Liu, Li-Wen Wang, Jun Xiao, Vicky Kalogeiton
Towards Progressive Multi-Frequency Representation for Image Warping
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Jun Xiao, Zihang Lyu, Cong Zhang, Yakun Ju, Changjian Shui, Kin-Man Lam
Deep Progressive Feature Aggregation Network for Multi-frame High Dynamic Range Imaging
In Neurocomputing, 2024.
Jun Xiao, Qian Ye, Tianshan Liu, Cong Zhang, Kin-Man Lam
Deep Multi-scale Feature Mixture Model for Image Super-resolution with Multiple-Focal-length Degradation
In Signal Processing: Image Communication, 2024.
Jun Xiao, Qian Ye, Rui Zhao, Kin-Man Lam, Kao Wan
Improving Robustness of Single Image Super-Resolution Models with Monte Carlo Method
In IEEE International Conference on Image Processing (ICIP), 2023.
Cuixin Yang, Jun Xiao, Cong Zhang, Kin-Man Lam
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Improving Robustness of Single Image Super-Resolution Models with Monte Carlo Method
Online Video Super-Resolution with Convolutional Kernel Bypass Grafts
In IEEE Transaction on Multimedia (TMM), 2023.
Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam
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Online Video Super-Resolution with Convolutional Kernel Bypass Grafts
Boosting Object Detectors via Strong-Classification Weak-Localization Pretraining in Remote Sensing Imagery
In IEEE Transactions on Instrumentation and Measurement (TIM), 2023.
Cong Zhang, Tianshan Liu, Jun Xiao, Kin-Man Lam, Qi Wang
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Boosting Object Detectors via Strong-Classification Weak-Localization Pretraining in Remote Sensing Imagery
Efficient Feature Fusion for Learning-based Photometric Stereo
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
Yakun Ju, Kin-Man Lam, Jun Xiao, Cong Zhang, Cuixin Yang, Junyu Dong
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Efficient Feature Fusion for Learning-based Photometric Stereo
Self-feature Learning: An Efficient Deep Lightweight Network for Image Super-resolution
In AMM Conference on Multimedia(ACM-MM), 2021.
Jun Xiao, Qian Ye, Rui Zhao, Kin-Man Lam, Kao Wan
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Self-feature Learning: An Efficient Deep Lightweight Network for Image Super-resolution
Progressive and Selective Fusion Network for High Dynamic Range Imaging
In AMM Conference on Multimedia(ACM-MM), 2021.
Qian Ye, Jun Xiao, Kin-Man Lam, Takayuki Okatani
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Progressive and Selective Fusion Network for High Dynamic Range Imaging
Balanced distortion and perception in single-image super-resolution based on optimal transport in wavelet domain
In Neurocomputing, 2021
Jun Xiao, Tianshan Liu, Rui Zhao, Kin-Man Lam
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Balanced distortion and perception in single-image super-resolution based on optimal transport in wavelet domain
Invertible image decolorization
In IEEE Transactions on Image Processing, 2021.
Rui Zhao, Tianshan Liu, Jun Xiao, Kin-Man Lam
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Invertible image decolorization
Feature redundancy mining: Deep light-weight image super-resolution model
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
Jun Xiao, Wenqi Jia, Kin-Man Lam
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Feature redundancy mining: Deep light-weight image super-resolution model
Bayesian sparse hierarchical model for image denoising
In Signal Processing:Image Communication, 2021.
Jun Xiao, Rui Zhao, Kin-Man Lam
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Bayesian sparse hierarchical model for image denoising
Deep multi-task learning for facial expression recognition and synthesis based on selective feature sharing
In 25th International Conference on Pattern Recognition (ICPR), 2020.
Rui Zhao, Tianshan Liu, Jun Xiao, Kin-Man Lam
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Deep multi-task learning for facial expression recognition and synthesis based on selective feature sharing
Progressive Motion Representation Distillation With Two-Branch Networks for Egocentric Activity Recognition
In Signal Processing Letter, 2020.
Tianshan Liu, Rui Zhao, Jun Xiao, Kin-Man Lam
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Progressive Motion Representation Distillation With Two-Branch Networks for Egocentric Activity Recognition
Deep Progressive Convolutional Neural Network for Blind Super-Resolution With Multiple Degradations
In IEEE International Conference on Image Processing (ICIP), 2019.
Jun Xiao, Rui Zhao, Shun-Cheung Lai, Wenqi Jia, Kin-Man Lam
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Deep Progressive Convolutional Neural Network for Blind Super-Resolution With Multiple Degradations