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ORCIDZhisheng Zhong
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2020 – today
- 2024
[i15]Yanwei Li, Yuechen Zhang, Chengyao Wang, Zhisheng Zhong, Yixin Chen, Ruihang Chu, Shaoteng Liu, Jiaya Jia:
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models. CoRR abs/2403.18814 (2024)- 2023
- [j2]Jiequan Cui
, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia:
ResLT: Residual Learning for Long-Tailed Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3695-3706 (2023) - [c12]Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia:
Understanding Imbalanced Semantic Segmentation Through Neural Collapse. CVPR 2023: 19550-19559 - [i14]Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia:
Understanding Imbalanced Semantic Segmentation Through Neural Collapse. CoRR abs/2301.01100 (2023) - [i13]Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang:
Decoupled Kullback-Leibler Divergence Loss. CoRR abs/2305.13948 (2023) - 2022
- [i12]Zhisheng Zhong, Jiequan Cui, Eric Lo, Zeming Li, Jian Sun, Jiaya Jia:
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition. CoRR abs/2203.11506 (2022) - [i11]Jiequan Cui, Yuhui Yuan, Zhisheng Zhong, Zhuotao Tian, Han Hu, Stephen Lin, Jiaya Jia:
Region Rebalance for Long-Tailed Semantic Segmentation. CoRR abs/2204.01969 (2022) - [i10]Jiequan Cui, Zhisheng Zhong, Zhuotao Tian, Shu Liu, Bei Yu, Jiaya Jia:
Generalized Parametric Contrastive Learning. CoRR abs/2209.12400 (2022) - 2021
- [c11]Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia:
Improving Calibration for Long-Tailed Recognition. CVPR 2021: 16489-16498 - [c10]Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia:
Parametric Contrastive Learning. ICCV 2021: 695-704 - [i9]Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia:
ResLT: Residual Learning for Long-tailed Recognition. CoRR abs/2101.10633 (2021) - [i8]Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia:
Improving Calibration for Long-Tailed Recognition. CoRR abs/2104.00466 (2021) - [i7]Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia:
Parametric Contrastive Learning. CoRR abs/2107.12028 (2021) - 2020
- [c9]Hiroaki Akutsu, Akifumi Suzuki, Zhisheng Zhong, Kiyoharu Aizawa:
Ultra Low Bitrate Learned Image Compression by Selective Detail Decoding. CVPR Workshops 2020: 524-528 - [c8]Zhisheng Zhong, Hiroaki Akutsu, Kiyoharu Aizawa:
Channel-Level Variable Quantization Network for Deep Image Compression. IJCAI 2020: 467-473 - [i6]Zhisheng Zhong, Hiroaki Akutsu, Kiyoharu Aizawa:
Channel-Level Variable Quantization Network for Deep Image Compression. CoRR abs/2007.12619 (2020)
2010 – 2019
- 2019
- [j1]Zhisheng Zhong, Fangyin Wei, Zhouchen Lin, Chao Zhang:
ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition. Neural Networks 110: 104-115 (2019) - [c7]Shupeng Su, Zhisheng Zhong, Chao Zhang:
Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval. ICCV 2019: 3027-3035 - [c6]Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu:
Expectation-Maximization Attention Networks for Semantic Segmentation. ICCV 2019: 9166-9175 - [c5]Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin:
Differentiable Linearized ADMM. ICML 2019: 6902-6911 - [c4]Tiancheng Shen, Xia Li, Zhisheng Zhong, Jianlong Wu, Zhouchen Lin:
R ^2 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal. MICCAI (6) 2019: 319-327 - [i5]Xingyu Xie, Jianlong Wu, Zhisheng Zhong, Guangcan Liu, Zhouchen Lin:
Differentiable Linearized ADMM. CoRR abs/1905.06179 (2019) - [i4]Zhisheng Zhong, Fangyin Wei, Zhouchen Lin, Chao Zhang:
ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition. CoRR abs/1906.07671 (2019) - [i3]Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu:
Expectation-Maximization Attention Networks for Semantic Segmentation. CoRR abs/1907.13426 (2019) - 2018
- [c3]Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin:
Convolutional Neural Networks With Alternately Updated Clique. CVPR 2018: 2413-2422 - [c2]Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang:
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution. NeurIPS 2018: 165-175 - [i2]Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin:
Convolutional Neural Networks with Alternately Updated Clique. CoRR abs/1802.10419 (2018) - [i1]Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang:
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution. CoRR abs/1809.04508 (2018) - 2015
- [c1]Zhisheng Zhong, Yong Sun, Yue Wang, Pengfei Zhu, Yue Gao, Huanle Lv, Xiaolin Zhu:
An improved collaborative filtering recommendation algorithm not based on item rating. ICCI*CC 2015: 230-233
Coauthor Index
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