Hengyuan Zhao

According to our database, Hengyuan Zhao authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

Temporally consistent video colorization with deep feature propagation and self-regularization learning.

Yihao Liu, Hengyuan Zhao, Kelvin C. K. Chan, Xintao Wang, Chen Change Loy, Yu Qiao, Chao Dong

Comput. Vis. Media, April, 2024

SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels.

Henry Hengyuan Zhao, Pichao Wang, Yuyang Zhao, Hao Luo, Fan Wang, Mike Zheng Shou

Int. J. Comput. Vis., 2024

2023

Evaluating the Generalization Ability of Super-Resolution Networks.

Yihao Liu, Hengyuan Zhao, Jinjin Gu, Yu Qiao, Chao Dong

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Very Lightweight Photo Retouching Network With Conditional Sequential Modulation.

Yihao Liu, Jingwen He, Xiangyu Chen, Zhengwen Zhang, Hengyuan Zhao, Chao Dong, Yu Qiao

IEEE Trans. Multim., 2023

Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator.

Henry Hengyuan Zhao, Pan Zhou, Mike Zheng Shou

CoRR, 2023

SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels.

Henry Hengyuan Zhao, Pichao Wang, Yuyang Zhao, Hao Luo, Fan Wang, Mike Zheng Shou

CoRR, 2023

Revisit Parameter-Efficient Transfer Learning: A Two-Stage Paradigm.

Hengyuan Zhao, Hao Luo, Yuyang Zhao, Pichao Wang, Fan Wang, Mike Zheng Shou

CoRR, 2023

2021

Color2Style: Real-Time Exemplar-Based Image Colorization with Self-Reference Learning and Deep Feature Modulation.

Hengyuan Zhao, Wenhao Wu, Yihao Liu, Dongliang He

CoRR, 2021

ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic.

Xiangtao Kong, Hengyuan Zhao, Yu Qiao, Chao Dong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Efficient Image Super-Resolution Using Pixel Attention.

Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results.

Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

A Simple and Robust Deep Convolutional Approach to Blind Image Denoising.

Hengyuan Zhao, Wenze Shao, Bingkun Bao, Haibo Li

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019