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检索条件"任意字段=2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022"
3917 条 记 录,以下是3711-3720 订阅
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NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results  32
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods...
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32nd ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Cai, Jianrui Gu, Shuhang Timofte, Radu Zhang, Lei Liu, Xiao Ding, Yukang He, Dongliang Li, Chao Fu, Yi Wen, Shilei Feng, Ruicheng Gu, Jinjin Qiao, Yu Dong, Chao Park, Dongwon Chun, Se Young Yoon, Sanghoon Kwak, Junhyung Son, Donghee Zamir, Syed Waqas Arora, Aditya Khan, Salman Khan, Fahad Shahbaz Shao, Ling Wei, Zhengping Liu, Lei Cai, Hong Li, Darui Gao, Fujie Hui, Zheng Wang, Xiumei Gao, Xinbo Cheng, Guoan Matsune, Ai Li, Qiuyu Zhu, Leilei Zang, Huaijuan Zhan, Shu Qiu, Yajun Wang, Ruxin Li, Jiawei Jing, Yongcheng Song, Mingli Liu, Pengju Zhang, Kai Liu, Jingdong Liu, Jiye Zhang, Hongzhi Zuo, Wangmeng Tang, Wenyi Liu, Jing Kim, Youngjung Shin, Changyeop Kim, Minbeom Kim, Sungho Michelini, Pablo Navarrete Liu, Hanwen Zhu, Dan Xu, Xuan Li, Xin Bai, Furui Sun, Xiaopeng Zha, Lin Huang, Yuanfei Lu, Wen Cao, Yanpeng Chen, Du He, Zewei Sun Anshun Tang, Siliang Fan, Hongfei Li, Xiang Li, Guo Zhang, Wenjie Zhang, Yumei He, Qingwen Qin, Jinghui Huang, Lishan Shi, Yukai Wei, Pengxu Wen, Wushao Lin, Liang Yu, Jun Xie, Guochen Li, Mengyan Chen, Rong Luo, Xiaotong Hong, Chen Qu, Yanyun Li, Cuihua Liu, Zhi-Song Wang, Li-Wen Li, Chu-Tak Zhao, Can Li, Bowen Tsai, Chung-Chi Chuang, Shang-Chih Choi, Joon-Hee Kim, Joonsoo Jiang, Xiaoyun Pan, Ze Lv, Qunbo Tan, Zheng He, Peidong Hong Kong Polytech Univ Hong Kong Peoples R China Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland Baidu Inc Comp Vis Technol VIS Dept Beijing Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol SIAT SenseTime Joint Lab Beijing Peoples R China Chinese Univ Hong Kong Sch Sci & Engn Shenzhen Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China Ulsan Natl Inst Sci & Technol UNIST Ulsan South Korea Kakao Jeju Si South Korea CASTIS Multimedia R&D Ctr Seoul South Korea NALBI Inc Seoul South Korea Incept Inst Artificial Intelligence Abu Dhabi U Arab Emirates LiveMe Inc West Hollywood CA USA Xidian Univ Sch Elect Engn Xian Peoples R China Hefei Univ Technol Sch Comp Sci & Informat Engn Hefei Peoples R China Yunnan Univ Kunming Yunnan Peoples R China Alibaba Grp Hangzhou Peoples R China Zhejiang Univ Coll Comp Sci & Technol Hangzhou Peoples R China Harbin Inst Technol Sch Comp Sci & Technol 92 West Da Zhi St Harbin Peoples R China Harbin Ultravis Technol 6 Fuhua St Harbin Peoples R China East China Normal Univ ECNU Multimedia & Comp Vis Lab Shanghai Peoples R China Agcy Def Dev Seoul South Korea BOE Technol Grp Co Ltd Beijing Peoples R China West Virginia Univ Morgantown WV 26506 USA Xidian Univ Xian Peoples R China Kiwi Image Technol Co Ltd Xian Peoples R China Zhejiang Univ Sch Mech Engn State Key Lab Fluid Power & Mechatron Syst Hangzhou 310027 Peoples R China Zhejiang Univ Sch Mech Engn Key Lab Adv Mfg Technol Zhejiang Prov Hangzhou 310027 Zhejiang Peoples R China Beijing Kingsoft Cloud Technol Co Ltd Beijing Peoples R China Sun Yat Sen Univ Guangzhou Peoples R China Univ Sci & Technol China Beijing Peoples R China XiDian Univ Kiwi Image Technol Co Ltd Xian Peoples R China Xiamen Univ Sch Informat Sci & Engn Xiamen Peoples R China Hong Kong Polytech Univ Dept Elect & Informat Engn Hong Kong Peoples R China Johns Hopkins Univ Baltimore MD 21218 USA Qualcomm Technol Inc San Diego CA USA
This paper reviewed the 3rd NTIRE challenge on single image super-resolution (restoration of rich details in a low resolution image) with a focus on proposed solutions and results. The challenge had 1 track, which was... 详细信息
来源: 评论
Multi-camera tracking of vehicles based on deep features re-id and trajectory-based camera link models  32
Multi-camera tracking of vehicles based on deep features re-...
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32nd ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2019
作者: Hsu, Hung-Min Huang, Tsung-Wei Wang, Gaoang Cai, Jiarui Lei, Zhichao Hwang, Jenq-Neng Department of Electrical and Computer Engineering University of Washington United States Research Center for Information Technology Innovation Academia Sinica Taiwan
Due to the exponential growth of traffic camera net- works, the need for multi-camera tracking (MCT) for in- telligent transportation has received more and more at- tention. The challenges of MCT include similar vehic... 详细信息
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On Visible Adversarial Perturbations & Digital Watermarking  31
On Visible Adversarial Perturbations & Digital Watermarking
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hayes, Jamie UCL London England
Given a machine learning model, adversarial perturbations transform images such that the model's output is classified as an attacker chosen class. Most research in this area has focused on adversarial perturbation... 详细信息
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Fine-grained Activity recognition in Baseball Videos  31
Fine-grained Activity Recognition in Baseball Videos
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Piergiovanni, A. J. Ryoo, Michael S. Indiana Univ Dept Comp Sci Bloomington IN 47408 USA
In this paper, we introduce a challenging new dataset, MLB-YouTube, designed for fine-grained activity detection. The dataset contains two settings: segmented video classification as well as activity detection in cont... 详细信息
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Road detection with EOSResUNet and post vectorizing algorithm  31
Road detection with EOSResUNet and post vectorizing algorith...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Filin, Oleksandr Zapara, Anton Panchenko, Serhii EOS Data Analyt Menlo Pk CA 94027 USA
Object recognition on the satellite images is one of the most relevant and popular topics in the problem of pattern recognition. This was facilitated by many factors, such as a high number of satellites with high-reso... 详细信息
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Driving scene-retrieval by example from large-scale data  32
Driving scene-retrieval by example from large-scale data
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32nd ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2019
作者: Hornauer, Sascha Yellapragada, Baladitya Ranjbar, Arian Yu, Stella X. International Computer Science Institute University of California Berkeley United States PATH University of California Berkeley United States
Many machine learning approaches train networks with input from large datasets to reach high task performance. Collected datasets, such as Berkeley Deep Drive Video (BDD-V) for autonomous driving, contain a large vari... 详细信息
来源: 评论
Preselection based subjective preference evaluation for the quality of underwater images  32
Preselection based subjective preference evaluation for the ...
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32nd ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2019
作者: Yang, Miao Du, Yixiang Huang, Yue Liu, Hantao Wei, Zhiqiang Hu, Jintong Hu, Ke Sheng, Zhibin School of Electronic Engineering HuaiHai Institute of Technology China Marine Equipment and Technology Institute Jiangsu University of Science and Technology China Qingdao National Laboratory of Marine Science and Technology China Key Laboratory of Underwater Acoustic Communication and Marine Information Technology Ministry of Education China School of Computer Science and Informatics Cardiff University United Kingdom Ocean University of China School of Information Engineering Mining and Technology University of China School of Information and Control Engineering
Underwater images contain an interactive mixture of distortions due to the physicochemical property of water and the instability of imaging systems, which differ from those in natural images. We cannot obtain the pris... 详细信息
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Rotated Rectangles for Symbolized Building Footprint Extraction  31
Rotated Rectangles for Symbolized Building Footprint Extract...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Dickenson, Matt Gueguen, Lionel UBER Technol Inc San Francisco CA 94103 USA
Building footprints (BFP) provide useful visual context for users of digital maps when navigating in space. This paper proposes a method for extracting and symbolizing building footprints from satellite imagery using ... 详细信息
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Deep learning for semantic segmentation of coral reef images using multi-view information  32
Deep learning for semantic segmentation of coral reef images...
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32nd ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2019
作者: King, Andrew Bhandarkar, Suchendra M. Hopkinson, Brian M. Institute for Artificial Intelligence The University of Georgia AthensGA30602 United States Department of Computer Science The University of Georgia AthensGA30602 United States Department of Marine Sciences The University of Georgia AthensGA30602 United States
Two major deep learning architectures, i.e., patch-based convolutional neural networks (CNNs) and fully convolutional neural networks (FCNNs), are studied in the context of semantic segmentation of underwater images o... 详细信息
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Stacked U-Nets with Multi-Output for Road Extraction  31
Stacked U-Nets with Multi-Output for Road Extraction
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sun, Tao Chen, Zehui Yang, Wenxiang Wang, Yin Tongji Univ Shanghai Peoples R China
With the recent advances of Convolutional Neural Networks (CNN) in computer vision, there have been rapid progresses in extracting roads and other features from satellite imagery for mapping and other purposes. In thi... 详细信息
来源: 评论