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ORCIDWei Dong 0010
Person information
- affiliation: University of Alberta, Canada
- affiliation: Beihang University, China
Other persons with the same name
- Wei Dong — disambiguation page
- Wei Dong 0001
![[0000-0003-0498-1494]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0498-1494")
— Alibaba-Zhejiang University Joint Institute of Frontier Technologies, China (and 1 more) - Wei Dong 0002 — Texas Instruments Inc., Dallas, TX, USA (and 1 more)
- Wei Dong 0003 — Ann Arbor, MI, USA (and 1 more)
- Wei Dong 0004 — Harbin Institute of Technology, State Key laboratory of Robotics and System, China
- Wei Dong 0005 — Chinese PLA General Hospital, Beijing, China
- Wei Dong 0006 — National University of Defense Technology, School of Computer, Changsha, China
- Wei Dong 0007 — Hong Kong University of Science and Technology, Hong Kong, SAR, China
- Wei Dong 0008 — Shanghai Jiao Tong University, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, China
- Wei Dong 0009 — Beijing Institute of Technology, Key Laboratory of Dynamics and Control of Flight Vehicle within Ministry of Education, School of Aerospace Engineering, China
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Journal Articles
- 2024
[j10]Xiaobao Yang, Yang Yang, Sugang Ma, Zhijie Li, Wei Dong, Marcin Wozniak:
SAMT-generator: A second-attention for image captioning based on multi-stage transformer network. Neurocomputing 593: 127823 (2024)- [j9]Yaoqi Hu, Axi Niu, Jinqiu Sun, Yu Zhu, Qingsen Yan, Wei Dong, Marcin Wozniak, Yanning Zhang:
Dynamic center point learning for multiple object tracking under Severe occlusions. Knowl. Based Syst. 300: 112130 (2024) - [j8]Wei Dong, Dawei Yan, Peng Wang:
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4218-4233 (2024) - [j7]Qingsen Yan, Axi Niu, Chaoqun Wang, Wei Dong, Marcin Wozniak, Yanning Zhang:
KGSR: A kernel guided network for real-world blind super-resolution. Pattern Recognit. 147: 110095 (2024) - [j6]Qingsen Yan, Haishen Wang, Yifan Ma, Yuhang Liu, Wei Dong, Marcin Wozniak, Yanning Zhang:
Uncertainty estimation in HDR imaging with Bayesian neural networks. Pattern Recognit. 156: 110802 (2024) - [j5]Qingsen Yan, Tao Hu, Yuan Sun, Hao Tang, Yu Zhu, Wei Dong, Luc Van Gool, Yanning Zhang:
Toward High-Quality HDR Deghosting With Conditional Diffusion Models. IEEE Trans. Circuits Syst. Video Technol. 34(5): 4011-4026 (2024) - 2023
- [j4]Wei Dong, Marcin Wozniak, Junsheng Wu, Weigang Li, Zongwen Bai:
Denoising Aggregation of Graph Neural Networks by Using Principal Component Analysis. IEEE Trans. Ind. Informatics 19(3): 2385-2394 (2023) - 2022
- [j3]Dong Xu, Wei Dong, Han Zhou:
Sclera Recognition Based on Efficient Sclera Segmentation and Significant Vessel Matching. Comput. J. 65(2): 371-381 (2022) - [j2]Wei Dong, Junsheng Wu, Xinwan Zhang, Zongwen Bai, Peng Wang, Marcin Wozniak:
Improving performance and efficiency of Graph Neural Networks by injective aggregation. Knowl. Based Syst. 254: 109616 (2022) - 2021
- [j1]Wei Dong, Junsheng Wu, Zongwen Bai, Yaoqi Hu, Weigang Li, Wei Qiao, Marcin Wozniak:
MobileGCN applied to low-dimensional node feature learning. Pattern Recognit. 112: 107788 (2021)
Conference and Workshop Papers
- 2024
- [c11]Kangzhen Yang, Tao Hu, Kexin Dai, Genggeng Chen, Yu Cao, Wei Dong, Peng Wu, Yanning Zhang, Qingsen Yan:
CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task. CVPR Workshops 2024: 6086-6096 - [c10]Genggeng Chen, Kexin Dai, Kangzhen Yang, Tao Hu, Xiangyu Chen, Yongqing Yang, Wei Dong, Peng Wu, Yanning Zhang, Qingsen Yan:
Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition. CVPR Workshops 2024: 6097-6107 - [c9]Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Qingsen Yan, Yanning Zhang:
DiffLight: Integrating Content and Detail for Low-light Image Enhancement. CVPR Workshops 2024: 6143-6152 - [c8]Zhilu Zhang, Shuohao Zhang, Renlong Wu, Wangmeng Zuo, Radu Timofte, Xiaoxia Xing, Hyunhee Park, Sejun Song, Changho Kim, Xiangyu Kong, Jinlong Wu, Jianxing Zhang, Jingfan Tan, Zikun Liu, Wenhan Luo, Wenjie Lin, Chengzhi Jiang, Mingyan Han, Zhen Liu, Ting Jiang, Jinting Luo, Shen Cheng, Linze Li, Xinhan Niu, Shuaicheng Liu, Kexin Dai, Kangzhen Yang, Tao Hu, Xiangyu Chen, Yu Cao, Qingsen Yan, Yanning Zhang, Genggeng Chen, Yongqing Yang, Wei Dong, Xinwei Dai, Yuanbo Zhou, Xintao Qiu, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Peng Zhang, Yifei Chen, Wenbo Xiong, Zhijun Song, Pu Cheng, Taolue Feng, Yunqing He, Daiguo Zhou, Ying Huang, Xiaowen Ma, Peng Wu:
NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement: Datasets, Methods and Results. CVPR Workshops 2024: 6153-6166 - [c7]Wei Dong, Han Zhou, Yuqiong Tian, Jingke Sun, Xiaohong Liu, Guangtao Zhai, Jun Chen:
ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer. CVPR Workshops 2024: 6208-6217 - [c6]Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen:
DehazeDCT: Towards Effective Non-Homogeneous Dehazing via Deformable Convolutional Transformer. CVPR Workshops 2024: 6405-6414 - [c5]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Yidi Liu, Xingbo Wang, Yurui Zhu, Gege Shi, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen, Wei Song, Yichang Gao, Jiahao Xiong, Hualiang Lin, Xianger Li, Dong Li, Mohab Kishawy, Ruibin Li, Seyed Amirreza Mousavi, Rana Rauf, Yangyi Liu, Huan Liu, MingSheng Tu, Kele Xu, JiaWen Chen, Qisheng Xu, Tao Sun, Jin Guo, Ben Shao, Tianli Liu, Mohao Wu, Xingzhuo Yan, Minghan Fu, Lehan Yang, Xin Lin, Lu Qi, Jincen Song, Xiaoqian Hu, Linwei Tao, Hongming Chen, Xiang Chen, Chuanlong Xie, Zhao Zhang, Junhu Wang, Yanyan Wei, Suiyi Zhao, Shengeng Tang, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenjing Jiang, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C:
NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report. CVPR Workshops 2024: 6453-6468 - [c4]Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CVPR Workshops 2024: 6571-6594 - 2023
- [c3]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. CVPR Workshops 2023: 1808-1825 - [c2]Han Zhou, Wei Dong, Yangyi Liu, Jun Chen:
Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt. CVPR Workshops 2023: 1895-1904 - 2022
- [c1]Wei Dong, Junsheng Wu, Yi Luo, Zongyuan Ge, Peng Wang:
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization. CVPR 2022: 16599-16608
Informal and Other Publications
- 2024
- [i9]Genggeng Chen, Kexin Dai, Kangzhen Yang, Tao Hu, Xiangyu Chen, Yongqing Yang, Wei Dong, Peng Wu, Yanning Zhang, Qingsen Yan:
Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition. CoRR abs/2404.13537 (2024) - [i8]Kangzhen Yang, Tao Hu, Kexin Dai, Genggeng Chen, Yu Cao, Wei Dong, Peng Wu, Yanning Zhang, Qingsen Yan:
CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task. CoRR abs/2404.14132 (2024) - [i7]Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CoRR abs/2404.14248 (2024) - [i6]Wei Dong, Han Zhou, Yuqiong Tian, Jingke Sun, Xiaohong Liu, Guangtao Zhai, Jun Chen:
ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer. CoRR abs/2406.02559 (2024) - [i5]Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen:
DehazeDCT: Towards Effective Non-Homogeneous Dehazing via Deformable Convolutional Transformer. CoRR abs/2407.05169 (2024) - [i4]Han Zhou, Wei Dong, Xiaohong Liu, Shuaicheng Liu, Xiongkuo Min, Guangtao Zhai, Jun Chen:
GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval. CoRR abs/2407.12431 (2024) - 2023
- [i3]Han Zhou, Wei Dong, Yangyi Liu, Jun Chen:
Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt. CoRR abs/2305.04430 (2023) - [i2]Qingsen Yan, Tao Hu, Yuan Sun, Hao Tang, Yu Zhu, Wei Dong, Luc Van Gool, Yanning Zhang:
Towards High-quality HDR Deghosting with Conditional Diffusion Models. CoRR abs/2311.00932 (2023) - 2022
- [i1]Wei Dong, Junsheng Wu, Yi Luo, Zongyuan Ge, Peng Wang:
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization. CoRR abs/2203.12265 (2022)
Coauthor Index
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