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Shanzhi Yin
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2020 – today
- 2024
- [j1]Chao Li, Shanzhi Yin, Chuanmin Jia, Fanyang Meng, Yonghong Tian, Yongsheng Liang:
Multirate Progressive Entropy Model for Learned Image Compression. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7725-7741 (2024) - [c5]Shanzhi Yin, Bolin Chen, Shiqi Wang, Yan Ye:
Enabling Translatability of Generative Face Video Coding: A Unified Face Feature Transcoding Framework. DCC 2024: 113-122 - [c4]Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu:
Bandwidth-Efficient Inference for Nerual Image Compression. ICASSP 2024: 2905-2909 - [c3]Tianyi Li, Chao Li, Shanzhi Yin, Youneng Bao, Fanyang Meng, Yongsheng Liang:
Fine-Grained Adjustable Entropy Models for Rate-Complexity Jointly Adjustable Image Compression. PRCV (9) 2024: 3-14 - [i4]Bolin Chen, Shanzhi Yin, Peilin Chen, Shiqi Wang, Yan Ye:
Generative Visual Compression: A Review. CoRR abs/2402.02140 (2024) - 2023
- [i3]Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu:
Bandwidth-efficient Inference for Neural Image Compression. CoRR abs/2309.02855 (2023) - 2022
- [c2]Shanzhi Yin, Chao Li, Youneng Bao, Yongsheng Liang, Fanyang Meng, Wei Liu:
Universal Efficient Variable-Rate Neural Image Compression. ICASSP 2022: 2025-2029 - [c1]Shanzhi Yin, Chao Li, Fanyang Meng, Wen Tan, Youneng Bao, Yongsheng Liang, Wei Liu:
Exploring Structural Sparsity in Neural Image Compression. ICIP 2022: 471-475 - [i2]Shanzhi Yin, Fanyang Meng, Wen Tan, Chao Li, Youneng Bao, Yongsheng Liang, Wei Liu:
Exploring Structural Sparsity in Neural Image Compression. CoRR abs/2202.04595 (2022) - 2021
- [i1]Shanzhi Yin, Chao Li, Youneng Bao, Yongshang Liang:
Universal Efficient Variable-rate Neural Image Compression. CoRR abs/2111.11305 (2021)
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