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Huihui Bai

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BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution

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Mar 15, 2024
Feng Li, Yixuan Wu, Zichao Liang, Runmin Cong, Huihui Bai, Yao Zhao, Meng Wang

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Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation

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Mar 14, 2024
Xiaoyang Wang, Huihui Bai, Limin Yu, Yao Zhao, Jimin Xiao

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Region-Adaptive Transform with Segmentation Prior for Image Compression

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Mar 01, 2024
Yuxi Liu, Wenhan Yang, Huihui Bai, Yunchao Wei, Yao Zhao

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You Can Mask More For Extremely Low-Bitrate Image Compression

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Jun 27, 2023
Anqi Li, Feng Li, Jiaxin Han, Huihui Bai, Runmin Cong, Chunjie Zhang, Meng Wang, Weisi Lin, Yao Zhao

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Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance

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Jun 15, 2023
Dongyi Zhang, Feng Li, Man Liu, Runmin Cong, Huihui Bai, Meng Wang, Yao Zhao

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Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning

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Mar 27, 2023
Man Liu, Feng Li, Chunjie Zhang, Yunchao Wei, Huihui Bai, Yao Zhao

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Bridging Component Learning with Degradation Modelling for Blind Image Super-Resolution

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Dec 03, 2022
Yixuan Wu, Feng Li, Huihui Bai, Weisi Lin, Runmin Cong, Yao Zhao

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Learning Detail-Structure Alternative Optimization for Blind Super-Resolution

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Dec 03, 2022
Feng Li, Yixuan Wu, Huihui Bai, Weisi Lin, Runmin Cong, Yao Zhao

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Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline

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Apr 13, 2021
Lingzhi He, Hongguang Zhu, Feng Li, Huihui Bai, Runmin Cong, Chunjie Zhang, Chunyu Lin, Meiqin Liu, Yao Zhao

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Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image Restoration

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Oct 29, 2020
Feng Li, Runmin Cong, Huihui Bai, Yifan He, Yao Zhao, Ce Zhu

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