Jun Xiao
Orcid: 0000-0002-4935-7866Affiliations:
- Hong Kong Polytechnic University, Department of Electronic and Information Engineering, Hong Kong
According to our database1,
Jun Xiao
authored at least 25 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Deep multi-scale feature mixture model for image super-resolution with multiple-focal-length degradation.
Signal Process. Image Commun., 2024
Integrally Mixing Pyramid Representations for Anchor-Free Object Detection in Aerial Imagery.
IEEE Geosci. Remote. Sens. Lett., 2024
Deep progressive feature aggregation network for multi-frame high dynamic range imaging.
Neurocomputing, 2024
CoRR, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
IEEE Trans. Multim., 2023
Boosting Object Detectors via Strong-Classification Weak-Localization Pretraining in Remote Sensing Imagery.
IEEE Trans. Instrum. Meas., 2023
Improving Robustness of Single Image Super-Resolution Models with Monte Carlo Method.
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
CoRR, 2022
2021
Signal Process. Image Commun., 2021
Balanced distortion and perception in single-image super-resolution based on optimal transport in wavelet domain.
Neurocomputing, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Self-feature Learning: An Efficient Deep Lightweight Network for Image Super-resolution.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Progressive Motion Representation Distillation With Two-Branch Networks for Egocentric Activity Recognition.
IEEE Signal Process. Lett., 2020
Deep Multi-task Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Deep Progressive Convolutional Neural Network for Blind Super-Resolution With Multiple Degradations.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019