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Xiaohe Wu
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2020 – today
- 2024
- [j16]Yue Cao, Xiaohe Wu, Shuran Qi, Xiao Liu, Zhongqin Wu, Wangmeng Zuo:
Pseudo-ISP: Learning pseudo in-camera signal processing pipeline from a color image denoiser. Neurocomputing 605: 128316 (2024) - [j15]Heming Xu, Xintong Liu, Hanwen Zhang, Xiaohe Wu, Wangmeng Zuo:
Degraded Structure and Hue Guided Auxiliary Learning for low-light image enhancement. Knowl. Based Syst. 295: 111779 (2024) - [j14]Qing Miao, Xiaohe Wu, Chao Xu, Yanli Ji, Wangmeng Zuo, Yiwen Guo, Zhaopeng Meng:
Learning with noisy labels using collaborative sample selection and contrastive semi-supervised learning. Knowl. Based Syst. 296: 111860 (2024) - [j13]Qing Miao, Xiaohe Wu, Chao Xu, Yanli Ji, Wangmeng Zuo, Yiwen Guo, Zhaopeng Meng:
Corrigendum to "Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning" [Knowledge-Based Systems 296 (2024) 111860]. Knowl. Based Syst. 299: 112117 (2024) - [j12]Haolin Wang, Jiawei Zhang, Ming Liu, Xiaohe Wu, Wangmeng Zuo:
Learning Diverse Tone Styles for Image Retouching. IEEE Trans. Image Process. 33: 310-321 (2024) - [j11]Jize Zhang, Haolin Wang, Xiaohe Wu, Wangmeng Zuo:
Invertible network for unpaired low-light image enhancement. Vis. Comput. 40(1): 109-120 (2024) - [c21]Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Wangmeng Zuo:
Learning Real-World Image De-weathering with Imperfect Supervision. AAAI 2024: 3738-3746 - [c20]Xiaohe Wu, Ahmed Badi, Juan Calderón:
Distributed and Efficient Storage of High-Dimensional Data Using Artificial Neural Network. CCWC 2024: 126-132 - [c19]Yaodi Liu, Kun Zhang, Rong Tong, Chenxi Cai, Dianying Chen, Xiaohe Wu:
A Flat-Span Contrastive Learning Method for Nested Named Entity Recognition. IALP 2024: 37-42 - [i16]Jiaxiu Jiang, Yabo Zhang, Kailai Feng, Xiaohe Wu, Wangmeng Zuo:
MC2: Multi-concept Guidance for Customized Multi-concept Generation. CoRR abs/2404.05268 (2024) - 2023
- [j10]Ming Liu, Yuxiang Wei, Xiaohe Wu, Wangmeng Zuo, Lei Zhang:
Survey on leveraging pre-trained generative adversarial networks for image editing and restoration. Sci. China Inf. Sci. 66(5) (2023) - [j9]Qing Miao, Xiaohe Wu, Chao Xu, Wangmeng Zuo, Zhaopeng Meng:
On better detecting and leveraging noisy samples for learning with severe label noise. Pattern Recognit. 136: 109210 (2023) - [c18]Ruohao Wang, Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chun-Mei Feng, Lei Zhang, Wangmeng Zuo:
Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution. CVPR Workshops 2023: 1168-1177 - [c17]Yuxiang Wei, Zhilong Ji, Xiaohe Wu, Jinfeng Bai, Lei Zhang, Wangmeng Zuo:
Inferring and Leveraging Parts from Object Shape for Improving Semantic Image Synthesis. CVPR 2023: 11248-11258 - [i15]Yuxiang Wei, Zhilong Ji, Xiaohe Wu, Jinfeng Bai, Lei Zhang, Wangmeng Zuo:
Inferring and Leveraging Parts from Object Shape for Improving Semantic Image Synthesis. CoRR abs/2305.19547 (2023) - [i14]Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Wangmeng Zuo:
Learning Real-World Image De-Weathering with Imperfect Supervision. CoRR abs/2310.14958 (2023) - [i13]Qing Miao, Xiaohe Wu, Chao Xu, Yanli Ji, Wangmeng Zuo, Yiwen Guo, Zhaopeng Meng:
Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning. CoRR abs/2310.15533 (2023) - 2022
- [c16]Goutam Bhat, Martin Danelljan, Radu Timofte, Yizhen Cao, Yuntian Cao, Meiya Chen, Xihao Chen, Shen Cheng, Akshay Dudhane, Haoqiang Fan, Ruipeng Gang, Jian Gao, Yan Gu, Jie Huang, Liufeng Huang, Youngsu Jo, Sukju Kang, Salman Khan, Fahad Shahbaz Khan, Yuki Kondo, Chenghua Li, Fangya Li, Jinjing Li, Youwei Li, Zechao Li, Chenming Liu, Shuaicheng Liu, Zikun Liu, Zhuoming Liu, Ziwei Luo, Zhengxiong Luo, Nancy Mehta, Subrahmanyam Murala, Yoonchan Nam, Chihiro Nakatani, Pavel Ostyakov, Jinshan Pan, Ge Song, Jian Sun, Long Sun, Jinhui Tang, Norimichi Ukita, Zhihong Wen, Qi Wu, Xiaohe Wu, Zeyu Xiao, Zhiwei Xiong, Rongjian Xu, Ruikang Xu, Youliang Yan, Jialin Yang, Wentao Yang, Zhongbao Yang, Fuma Yasue, Mingde Yao, Lei Yu, Cong Zhang, Syed Waqas Zamir, Jianxing Zhang, Shuohao Zhang, Zhilu Zhang, Qian Zheng, Gaofeng Zhou, Magauiya Zhussip, Xueyi Zou, Wangmeng Zuo:
NTIRE 2022 Burst Super-Resolution Challenge. CVPR Workshops 2022: 1040-1060 - [c15]Qingyu Yang, Guang Yang, Jun Jiang, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu, Lingchen Sun, Rongyuan Wu, Qiaosi Yi, Rongjian Xu, Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Ruohao Wang, Junyi Li, Wangmeng Zuo, Faming Fang:
MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report. ECCV Workshops (5) 2022: 36-45 - [c14]Qingyu Yang, Guang Yang, Jun Jiang, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu, Zhen Wang, Daoyu Li, Yuzhe Zhang, Lintao Peng, Xuyang Chang, Yinuo Zhang, Liheng Bian, Bing Li, Jie Huang, Mingde Yao, Ruikang Xu, Feng Zhao, Xiaohui Liu, Rongjian Xu, Zhilu Zhang, Xiaohe Wu, Ruohao Wang, Junyi Li, Wangmeng Zuo, Zhuang Jia, DongJae Lee, Ting Jiang, Qi Wu, Chengzhi Jiang, Mingyan Han, Xinpeng Li, Wenjie Lin, Youwei Li, Haoqiang Fan, Shuaicheng Liu:
MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report. ECCV Workshops (5) 2022: 46-59 - [c13]Junyi Li, Xiaohe Wu, Zhenxing Niu, Wangmeng Zuo:
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones. ECCV (18) 2022: 592-609 - [i12]Junyi Li, Xiaohe Wu, Zhenxing Niu, Wangmeng Zuo:
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones. CoRR abs/2204.05532 (2022) - [i11]Haolin Wang, Jiawei Zhang, Ming Liu, Xiaohe Wu, Wangmeng Zuo:
Learning Diverse Tone Styles for Image Retouching. CoRR abs/2207.05430 (2022) - [i10]Ming Liu, Yuxiang Wei, Xiaohe Wu, Wangmeng Zuo, Lei Zhang:
A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration. CoRR abs/2207.10309 (2022) - [i9]Ruohao Wang, Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chun-Mei Feng, Lei Zhang, Wangmeng Zuo:
Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution. CoRR abs/2212.05342 (2022) - 2021
- [c12]Xiaohe Wu, Jianbo Xu, W. Liang, W. Jian:
Research on Authentication and Key Agreement Protocol of Smart Medical Systems Based on Blockchain Technology. ICA3PP (2) 2021: 439-452 - [c11]Xiaohe Wu, Alain Chong:
A review of predictors in e-government adoption research. ICIS 2021 - [i8]Yue Cao, Xiaohe Wu, Shuran Qi, Xiao Liu, Zhongqin Wu, Wangmeng Zuo:
Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser. CoRR abs/2103.10234 (2021) - [i7]Jize Zhang, Haolin Wang, Xiaohe Wu, Wangmeng Zuo:
Invertible Network for Unpaired Low-light Image Enhancement. CoRR abs/2112.13107 (2021) - 2020
- [j8]Weiqi Zhang, Zifei Yan, Qilong Wang, Xiaohe Wu, Wangmeng Zuo:
Learning second-order statistics for place recognition based on robust covariance estimation of CNN features. Neurocomputing 398: 197-208 (2020) - [j7]Feng Li, Xiaohe Wu, Wangmeng Zuo, David Zhang, Lei Zhang:
Remove Cosine Window From Correlation Filter-Based Visual Trackers: When and How. IEEE Trans. Image Process. 29: 7045-7060 (2020) - [c10]Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo:
Unpaired Learning of Deep Image Denoising. ECCV (4) 2020: 352-368 - [c9]Xiaohe Wu, Jianbo Xu, Weihong Huang, Wei Jian:
A new mutual authentication and key agreement protocol in wireless body area network. SmartCloud 2020: 199-203 - [i6]Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo:
Unpaired Learning of Deep Image Denoising. CoRR abs/2008.13711 (2020)
2010 – 2019
- 2019
- [j6]HaiJun Bao, Xiaohe Wu, Haowen Wang, Qiuxiang Li, Yi Peng, Shibao Lu:
Conflicts Induced by Different Responses to Land Expropriation Among the Farmers Involved During Urbanization in China. J. Artif. Soc. Soc. Simul. 22(1) (2019) - [j5]Xiaohe Wu, Weisong Wang, Fei Yang, Hongzhi Zhang, Wangmeng Zuo:
Joint learning of Siamese network with top-down modulation and hard example mining for visual tracking. J. Electronic Imaging 28(5): 053034 (2019) - [j4]Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang:
Learning Support Correlation Filters for Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1158-1172 (2019) - [i5]Feng Li, Xiaohe Wu, Wangmeng Zuo, David Zhang, Lei Zhang:
Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How. CoRR abs/1905.06648 (2019) - 2018
- [j3]Ibrahim Omara, Xiaohe Wu, Hongzhi Zhang, Yong Du, Wangmeng Zuo:
Learning pairwise SVM on hierarchical deep features for ear recognition. IET Biom. 7(6): 557-566 (2018) - [j2]Xiaohe Wu, Wangmeng Zuo, Liang Lin, Wei Jia, David Zhang:
F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5185-5199 (2018) - [c8]Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson W. H. Lau, Ming-Hsuan Yang:
VITAL: VIsual Tracking via Adversarial Learning. CVPR 2018: 8990-8999 - [c7]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c6]Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, Wangmeng Zuo:
Joint Representation and Truncated Inference Learning for Correlation Filter Based Tracking. ECCV (9) 2018: 560-575 - [c5]Yingjie Yao, Xiaohe Wu, Wangmeng Zuo, David Zhang:
Learning Siamese Network with Top-Down Modulation for Visual Tracking. IScIDE 2018: 378-388 - [i4]Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson W. H. Lau, Ming-Hsuan Yang:
VITAL: VIsual Tracking via Adversarial Learning. CoRR abs/1804.04273 (2018) - [i3]Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, Wangmeng Zuo:
Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking. CoRR abs/1807.11071 (2018) - 2017
- [c4]Ibrahim Omara, Xiaohe Wu, Hongzhi Zhang, Yong Du, Wangmeng Zuo:
Learning pairwise SVM on deep features for ear recognition. ICIS 2017: 341-346 - 2016
- [i2]Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang:
Learning Support Correlation Filters for Visual Tracking. CoRR abs/1601.06032 (2016) - 2015
- [c3]Yuanyuan Zhu, Xiaohe Wu, Jun Xu, David Zhang, Wangmeng Zuo:
Radius-margin based support vector machine with LogDet regularizaron. ICMLC 2015: 277-282 - [i1]Xiaohe Wu, Wangmeng Zuo, Yuanyuan Zhu, Liang Lin:
F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation. CoRR abs/1504.05035 (2015) - 2013
- [c2]Liu Ouyang, Jinli Huang, Xiaohe Wu, Bohu Yu:
Parallel Access Optimization Technique for Geographic Raster Data. GRMSE (1) 2013: 533-542
2000 – 2009
- 2009
- [j1]Jing Wang, Zhihua Qu, Morrison S. Obeng, Xiaohe Wu:
Approximation Based Adaptive Tracking Control of uncertain nonholonomic mechanical Systems. Control. Intell. Syst. 37(4) (2009) - 2008
- [c1]Xiaohe Wu, Morrison S. Obeng, Jing Wang, Thomas Yang:
Comparison Study of Three Types of Temperature Sensing Techniques Suitable for Embedded System Applications. HPCNCS 2008: 154-158
Coauthor Index
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
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last updated on 2024-12-08 02:26 CET by the dblp team
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