Medical image translation with deep learning: Advances, datasets and perspectives.
Medical Image Anal., 2025
Federated continual representation learning for evolutionary distributed intrusion detection in Industrial Internet of Things.
Eng. Appl. Artif. Intell., 2024
FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration.
CoRR, 2024
XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis.
CoRR, 2024
VDG: Vision-Only Dynamic Gaussian for Driving Simulation.
CoRR, 2024
Collaborative Feedback Discriminative Propagation for Video Super-Resolution.
CoRR, 2024
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup.
IEEE Trans. Multim., 2023
Real-World Image Super-Resolution by Exclusionary Dual-Learning.
IEEE Trans. Multim., 2023
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt.
CoRR, 2023
A Closer Look at Classifier in Adversarial Domain Generalization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Learning A Sparse Transformer Network for Effective Image Deraining.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Hybrid CNN-Transformer Feature Fusion for Single Image Deraining.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Local Spatial Constraint and Total Variation for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2022
Criteria Comparative Learning for Real-Scene Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., 2022
DnSwin: Toward real-world denoising via a continuous Wavelet Sliding Transformer.
Knowl. Based Syst., 2022
Progressive representation recalibration for lightweight super-resolution.
Neurocomputing, 2022
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Superpixel-Based Reweighted Low-Rank and Total Variation Sparse Unmixing for Hyperspectral Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2021
Low-Rank Representation Incorporating Local Spatial Constraint for Hyperspectral Anomaly Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Semi-Supervised Hyperspectral Unmixing with Very Deep Convolutional Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results.
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Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020