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ORCIDGang Wu 0010
Person information
- unicode name: 吴刚
- affiliation: Harbin Institute of Technology, School of Computer Science and Technology, Harbin, China
Other persons with the same name
- Gang Wu — disambiguation page
- Gang Wu 0001
![[0000-0001-9595-527X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9595-527X")
— University of Electronic Science and Technology of China, National Key Lab of Science and Technology on Communications, Chengdu, China (and 3 more) - Gang Wu 0002 — Synopsys, Inc., Hillsboro, OR, USA (and 1 more)
- Gang Wu 0003 — Nanjing University of Finance and Economics, Institute of Multimedia Computing Technology, China (and 1 more)
- Gang Wu 0004 — Nanjing University of Aeronautics and Astronautics, Center for More-Electric-Aircraft Power Systems, China
- Gang Wu 0005 — University of California at Santa Barbara, CA, USA
- Gang Wu 0006 — University of Chinese Academy of Sciences, School of Mathematical Sciences, Beijing, China
- Gang Wu 0007 — Northeastern University, School of Computer Science and Engineering, China (and 1 more)
- Gang Wu 0008 — Shanghai Jiao Tong University, China
- Gang Wu 0009 — China National Institute of Standardization, Beijing, China
- Gang Wu 0011 — University of Science and Technology of China, Department of Automation, Hefei, China
- Gang Wu 0012 — Nokia, Wireless Modem System Research, Devices Research and Development, Shanghai, China (and 1 more)
- Gang Wu 0013 — Adobe Inc., Adobe Research, San Jose, CA, USA (and 1 more)
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2020 – today
- 2024
[j2]Gang Wu, Junjun Jiang, Junpeng Jiang, Xianming Liu:
Transforming Image Super-Resolution: A ConvFormer-Based Efficient Approach. IEEE Trans. Image Process. 33: 6071-6082 (2024)- [j1]Gang Wu, Junjun Jiang, Xianming Liu:
A Practical Contrastive Learning Framework for Single-Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15834-15845 (2024) - [c10]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. AAAI 2024: 5976-5984 - [c9]Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder:
The Third Monocular Depth Estimation Challenge. CVPR Workshops 2024: 1-14 - [c8]Yuanqi Yao, Gang Wu, Kui Jiang, Siao Liu, Jian Kuai, Xianming Liu, Junjun Jiang:
Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training. ECCV (24) 2024: 183-201 - [c7]Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs. ICLR 2024 - [c6]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Exploiting Self-Supervised Constraints in image Super-Resolution. ICME 2024: 1-6 - [c5]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Harmony in Diversity: Improving All-in-One Image Restoration via Multi-Task Collaboration. ACM Multimedia 2024: 6015-6023 - [i10]Gang Wu, Junjun Jiang, Junpeng Jiang, Xianming Liu:
Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach. CoRR abs/2401.05633 (2024) - [i9]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Exploiting Self-Supervised Constraints in Image Super-Resolution. CoRR abs/2404.00260 (2024) - [i8]Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder:
The Third Monocular Depth Estimation Challenge. CoRR abs/2404.16831 (2024) - [i7]Junjun Jiang, Zengyuan Zuo, Gang Wu, Kui Jiang, Xianming Liu:
A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends. CoRR abs/2410.15067 (2024) - 2023
- [c4]Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang:
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2023: 1922-1960 - [c3]Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji:
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation. ICML 2023: 41399-41413 - [i6]Gang Wu, Junjun Jiang, Yuanchao Bai, Xianming Liu:
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution. CoRR abs/2303.14324 (2023) - [i5]Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu:
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR abs/2307.15061 (2023) - [i4]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Fully 1×1 Convolutional Network for Lightweight Image Super-Resolution. CoRR abs/2307.16140 (2023) - [i3]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. CoRR abs/2309.06023 (2023) - 2022
- [c2]Andrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang:
NTIRE 2022 Image Inpainting Challenge: Report. CVPR Workshops 2022: 1149-1181 - [c1]Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu:
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. CVPR Workshops 2022: 1300-1309 - [i2]Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu:
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. CoRR abs/2205.07162 (2022) - 2021
- [i1]Gang Wu, Junjun Jiang, Xianming Liu, Jiayi Ma:
A Practical Contrastive Learning Framework for Single Image Super-Resolution. CoRR abs/2111.13924 (2021)
Coauthor Index
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