Zhenhua Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Spatial Temporal

Quantization Noise

Secret Image Sharing

Top Venues

Publications

Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Kai Han, Yunhe Wang
Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting. CoRR (2024)
Zhenhua Liu, Zhiwei Hao, Kai Han, Yehui Tang, Yunhe Wang
GhostNetV3: Exploring the Training Strategies for Compact Models. CoRR (2024)
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao
A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Wenhong Duan, Zhenhua Liu, Chuanmin Jia, Shanshe Wang, Siwei Ma, Wen Gao
Differential Weight Quantization for Multi-Model Compression. IEEE Trans. Multim. 25 (2023)
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation. CoRR (2023)
Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao
Instance-Aware Dynamic Neural Network Quantization. CVPR (2022)
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao
P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation. ECCV (5) (2022)
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao
P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation. CoRR (2022)
Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. Trans. Mach. Learn. Res. 2022 (2022)
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao
Pre-Trained Image Processing Transformer. CVPR (2021)
Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao
Post-Training Quantization for Vision Transformer. CoRR (2021)
Zhenhua Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao
Evolutionary Quantization of Neural Networks with Mixed-Precision. ICASSP (2021)
Zhenhua Liu, Yunhe Wang, Kai Han, Wei Zhang, Siwei Ma, Wen Gao
Post-Training Quantization for Vision Transformer. NeurIPS (2021)
Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, Yunhe Wang
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. CoRR (2021)
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao
Pre-Trained Image Processing Transformer. CoRR (2020)
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao
A Survey on Visual Transformer. CoRR (2020)
Zhenhua Liu, Jizheng Xu, Xiulian Peng, Ruiqin Xiong
Frequency-Domain Dynamic Pruning for Convolutional Neural Networks. NeurIPS (2018)