Shuai Zhao

According to our database, Shuai Zhao authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Ghost Sentence: A Tool for Everyday Users to Copyright Data from Large Language Models.

Shuai Zhao, Linchao Zhu, Ruijie Quan, Yi Yang

CoRR, 2024

2023

A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation.

Minghao Chen, Zepeng Gao, Shuai Zhao, Qibo Qiu, Wenxiao Wang, Binbin Lin, Xiaofei He

CoRR, 2023

Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.

Shuai Zhao, Xiaohan Wang, Linchao Zhu, Yi Yang

CoRR, 2023

CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model.

Shuai Zhao, Xiaohan Wang, Linchao Zhu, Yi Yang

CoRR, 2023

2022

Toward Better Accuracy-Efficiency Trade-Offs: Divide and Co-Training.

Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu

IEEE Trans. Image Process., 2022

Slimmable Networks for Contrastive Self-supervised Learning.

Shuai Zhao, Xiaohan Wang, Linchao Zhu, Yi Yang

CoRR, 2022

CenterCLIP: Token Clustering for Efficient Text-Video Retrieval.

Shuai Zhao, Linchao Zhu, Xiaohan Wang, Yi Yang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

SCALoss: Side and Corner Aligned Loss for Bounding Box Regression.

Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

ES-Net: Erasing Salient Parts to Learn More in Re-Identification.

Dong Shen, Shuai Zhao, Jinming Hu, Hao Feng, Deng Cai, Xiaofei He

IEEE Trans. Image Process., 2021

Attacking Adversarial Attacks as A Defense.

Boxi Wu, Heng Pan, Li Shen, Jindong Gu, Shuai Zhao, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

CoRR, 2021

Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework.

Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

SplitNet: Divide and Co-training.

Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu

CoRR, 2020

Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework.

Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu

CoRR, 2020

Adversarial-Learned Loss for Domain Adaptation.

Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration.

Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu

CoRR, 2019

Correlation Maximized Structural Similarity Loss for Semantic Segmentation.

Shuai Zhao, Boxi Wu, Wenqing Chu, Yao Hu, Deng Cai

CoRR, 2019

Improving Semantic Segmentation via Dilated Affinity.

Boxi Wu, Shuai Zhao, Wenqing Chu, Zheng Yang, Deng Cai

CoRR, 2019

Region Mutual Information Loss for Semantic Segmentation.

Shuai Zhao, Yang Wang, Zheng Yang, Deng Cai

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019