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Yuzhi Wang
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2020 – today
- 2024
- [j7]Li Sun
, Zhenghua Cai
, Kaibo Liang
, Yuzhi Wang
, Wang Zeng
, Xueqian Yan
:
An intelligent system for high-density small target pest identification and infestation level determination based on an improved YOLOv5 model. Expert Syst. Appl. 239: 122190 (2024) - [j6]Hansen Feng
, Lizhi Wang
, Yuzhi Wang
, Haoqiang Fan
, Hua Huang
:
Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 370-387 (2024) - [j5]Li Sun, Kaibo Liang
, Yuzhi Wang, Wang Zeng, Xinyue Niu, Longhao Jin:
Diagnosis of tomato pests and diseases based on lightweight CNN model. Soft Comput. 28(4): 3393-3413 (2024) - 2023
- [c12]Chengxu Liu, Xuan Wang
, Shuai Li, Yuzhi Wang, Xueming Qian:
FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras. ICCV 2023: 12503-12512 - [i10]Kepeng Xu, Gang He, Li Xu, Xingchao Yang, Ming Sun, Yuzhi Wang, Zijia Ma, Haoqiang Fan, Xing Wen:
Towards Robust SDRTV-to-HDRTV via Dual Inverse Degradation Network. CoRR abs/2307.03394 (2023) - [i9]Hansen Feng, Lizhi Wang, Yiqi Huang, Yuzhi Wang, Hua Huang:
Physics-guided Noise Neural Proxy for Low-light Raw Image Denoising. CoRR abs/2310.09126 (2023) - 2022
- [j4]Pengju Liu, Hongzhi Zhang, Jinghui Wang, Yuzhi Wang, Dongwei Ren, Wangmeng Zuo:
Robust deep ensemble method for real-world image denoising. Neurocomputing 512: 1-14 (2022) - [j3]Qin Sun
, Hongxu Li, Yuzhi Wang, Yingchao Zhang:
Multi-swarm-based cooperative reconfiguration model for resilient unmanned weapon system-of-systems. Reliab. Eng. Syst. Saf. 222: 108426 (2022) - [c11]Hansen Feng
, Lizhi Wang, Yuzhi Wang, Hua Huang
:
Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling. ACM Multimedia 2022: 1436-1444 - [c10]Yuxian Xie, Chengyu Liu, Hongxu Li, Yuzhi Wang, Yingchao Zhang:
Research on resilience process model of space-based communication networks based on OPM. SACI 2022: 289-294 - [i8]Pengju Liu, Hongzhi Zhang, Jinghui Wang, Yuzhi Wang, Dongwei Ren, Wangmeng Zuo:
Robust Deep Ensemble Method for Real-world Image Denoising. CoRR abs/2206.03691 (2022) - [i7]Hansen Feng, Lizhi Wang, Yuzhi Wang, Hua Huang:
Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling. CoRR abs/2207.06103 (2022) - 2021
- [j2]Li Sun
, Kaibo Liang
, Yanxing Song
, Yuzhi Wang
:
An Improved CNN-Based Apple Appearance Quality Classification Method With Small Samples. IEEE Access 9: 68054-68065 (2021) - [c9]Shen Cheng, Yuzhi Wang, Haibin Huang, Donghao Liu, Haoqiang Fan, Shuaicheng Liu
:
NBNet: Noise Basis Learning for Image Denoising With Subspace Projection. CVPR 2021: 4896-4906 - 2020
- [c8]Yuzhi Wang, Haibin Huang, Qin Xu, Jiaming Liu, Yiqun Liu, Jue Wang
:
Practical Deep Raw Image Denoising on Mobile Devices. ECCV (6) 2020: 1-16 - [i6]Yuzhi Wang, Haibin Huang, Qin Xu, Jiaming Liu, Yiqun Liu, Jue Wang:
Practical Deep Raw Image Denoising on Mobile Devices. CoRR abs/2010.06935 (2020) - [i5]Shen Cheng, Yuzhi Wang, Haibin Huang, Donghao Liu, Haoqiang Fan, Shuaicheng Liu:
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection. CoRR abs/2012.15028 (2020)
2010 – 2019
- 2019
- [c7]Jiaming Liu, Chihao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding
, Haoqiang Fan, Jue Wang
:
Learning Raw Image Denoising With Bayer Pattern Unification and Bayer Preserving Augmentation. CVPR Workshops 2019: 2070-2077 - [c6]Abdelrahman Abdelhamed
, Radu Timofte
, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung
, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding
, Haoqiang Fan, Jue Wang
, Kai Zhang
, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev
, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan
, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini
, Chi Li, Yang Wang, Zhiguo Cao
:
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. CVPR Workshops 2019: 2197-2210 - [i4]Jiaming Liu, Chihao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang:
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation. CoRR abs/1904.12945 (2019) - 2017
- [j1]Shuchang Zhou, Yuzhi Wang, He Wen, Qinyao He, Yuheng Zou:
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks. J. Comput. Sci. Technol. 32(4): 667-682 (2017) - [c5]Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang:
EAST: An Efficient and Accurate Scene Text Detector. CVPR 2017: 2642-2651 - [i3]Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang:
EAST: An Efficient and Accurate Scene Text Detector. CoRR abs/1704.03155 (2017) - [i2]Shuchang Zhou, Yuzhi Wang, He Wen, Qinyao He, Yuheng Zou:
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks. CoRR abs/1706.07145 (2017) - [i1]Yuzhi Wang, Anqi Yang, Xiaoming Chen, Pengjun Wang, Yu Wang, Huazhong Yang:
A Deep Learning Approach for Blind Drift Calibration of Sensor Networks. CoRR abs/1707.03682 (2017) - 2015
- [c4]Yubin Li, Yuliang Sun, Guohao Dai, Yuzhi Wang, Jiacai Ni, Yu Wang, Guoliang Li, Huazhong Yang:
A self-aware data compression system on FPGA in Hadoop. FPT 2015: 196-199 - [c3]Yuzhi Wang, Anqi Yang, Zhan Li, Pengjun Wang, Huazhong Yang:
Blind drift calibration of sensor networks using signal space projection and Kalman filter. ISSNIP 2015: 1-6 - [c2]Zhan Li, Yuzhi Wang, Anqi Yang, Huazhong Yang:
Drift detection and calibration of sensor networks. WCSP 2015: 1-6 - 2014
- [c1]Boxun Li, Yuzhi Wang, Yu Wang, Yiran Chen, Huazhong Yang:
Training itself: Mixed-signal training acceleration for memristor-based neural network. ASP-DAC 2014: 361-366
Coauthor Index
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last updated on 2024-08-23 19:24 CEST by the dblp team
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