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检索条件"任意字段=Proceedings - IEEE Computer Society Conference on Pattern Recognition and Image Processing."
8410 条 记 录,以下是291-300 订阅
Spatial-Angular Multi-Scale Mechanism for Light Field Spatial Super-Resolution
Spatial-Angular Multi-Scale Mechanism for Light Field Spatia...
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2023 ieee/CVF conference on computer Vision and pattern recognition Workshops, CVPRW 2023
作者: Gao, Chen Lin, Youfang Chang, Song Zhang, Shuo School of Computer and Information Technology Beijing Jiaotong University Beijing Key Lab of Traffic Data Analysis and Mining China
Light Field (LF) cameras are promising due to their ability to capture both spatial and angular information of scenes. However, the trade-off between spatial and angular resolution significantly limits the real-world ... 详细信息
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NTIRE 2022 Challenge on Perceptual image Quality Assessment
NTIRE 2022 Challenge on Perceptual Image Quality Assessment
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ieee/CVF conference on computer Vision and pattern recognition (CVPR)
作者: Gu, Jinjin Cai, Haoming Dong, Chao Ren, Jimmy S. Timofte, Radu Gong, Yuan Lao, Shanshan Shi, Shuwei Wang, Jiahao Yang, Sidi Wu, Tianhe Xia, Weihao Yang, Yujiu Cao, Mingdeng Heng, Cong Fu, Lingzhi Zhang, Rongyu Zhang, Yusheng Wang, Hao Song, Hongjian Wang, Jing Fan, Haotian Hou, Xiaoxia Sun, Ming Li, Mading Zhao, Kai Yuan, Kun Kong, Zishang Wu, Mingda Zheng, Chuanchuan Conde, Marcos, V Burchi, Maxime Feng, Longtao Zhang, Tao Li, Yang Xu, Jingwen Wang, Haiqiang Liao, Yiting Li, Junlin Xu, Kele Sun, Tao Xiong, Yunsheng Keshari, Abhisek Komal, Komal Thakur, Sadbhawana Jakhetiya, Vinit Subudhi, Badri N. Yang, Hao-Hsiang Chang, Hua-En Huang, Zhi-Kai Chen, Wei-Ting Kuo, Sy-Yen Dutta, Saikat Das, Sourya Dipta Shah, Nisarg A. Tiwari, Anil Kumar Shanghai AI Lab Shanghai Peoples R China Univ Sydney Sch Elect & Informat Engn Sydney NSW Australia Chinese Acad Sci Shenzhen Inst Adv Technol Beijing Peoples R China SenseTime Res Beijing Peoples R China Univ Wurzburg Wurzburg Germany Swiss Fed Inst Technol Zurich Switzerland Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Beijing Peoples R China Tsinghua Univ Dept Automat Beijing Peoples R China UCL London England Netease Hangzhou Peoples R China Kuaishou Beijing Peoples R China Univ Wurzburg Comp Vis Lab Wurzburg Germany ByteDance Beijing Peoples R China Key Lab Parallel & Distributed Proc Beijing Peoples R China Indian Inst Technol Jammu Jagti Jammu & Kashmir India Indian Inst Technol Madras Chennai Tamil Nadu India Jadavpur Univ Kolkata W Bengal India Indian Inst Technol Jodhpur Jodhpur Rajasthan India Natl Taiwan Univ New Taipei Taiwan
This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2022. This ch... 详细信息
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Recognizing Birds by image recognition
Recognizing Birds by Image Recognition
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2022 International conference on image, Signal processing. and pattern recognition, ISPP 2022
作者: Pan, Bochen Wang, Yujin Zhong, Ruming Marshall College The University of California La Jolla San DiegoCA92092 United States National Pilot School of Software Yunnan University Kunming650504 China Computer Science The University of British Columbia VancouverBCV6T 1Z4 Canada
In this work, three algorithms (HOG with SVM, VGG, ResNet) are chosen to perform better image recognition on different categories of birds. HOG with SVM performs worse than ResNetwith SVM because HOG is better at reco... 详细信息
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Research on Optimization Algorithm of Abnormal Driving Behavior Detection Based on PFLD
Research on Optimization Algorithm of Abnormal Driving Behav...
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2023 International conference on image, Signal processing. and pattern recognition, ISPP 2023
作者: He, Jing Dong, Chen Di, YuTing An, JiaHeng Gao, JiaXing Liu, ZhiJiang School of Computer Science and Engineering Tianjin University of Technology Tianjin China
Driver's fatigue driving and mood are two important factors that cause traffic accidents, and with the widespread use of mobile devices, it is of significant research value to detect driver's abnormal driving ... 详细信息
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Learning Hybrid Representations of Semantics and Distortion for Blind image Quality Assessment  48
Learning Hybrid Representations of Semantics and Distortion ...
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48th ieee International conference on Acoustics, Speech and Signal processing. ICASSP 2023
作者: Wang, Xiaoqi Xiong, Jian Li, Bo Suo, Jinli Gao, Hao Nanjing University of Posts and Telecommunications School of Communications and Information Engineering Nanjing China Xihua University School of Computer and Software Engineering Chengdu China Tsinghua University Department of Automation Beijing China
Recently, some studies have shown that semantic and distortion representations both benefit the evaluation of image quality. However, the images of existing synthetic distortion databases are annotated with subjective... 详细信息
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Gait Analysis with Trinocular computer Vision Using Deep Learning
Gait Analysis with Trinocular Computer Vision Using Deep Lea...
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2023 ieee International conference on image processing.Challenges and Workshops, ICIPCW 2023
作者: Stavrakakis, Odysseas Mastrogeorgiou, Athanasios Smyrli, Aikaterini Papadopoulos, Evangelos School of Mechanical Engineering National Technical University of Athens Control Systems Lab Greece
The recent years' progress in deep learning (DL) technology has resulted in convolutional neural networks (CNNs) capable of producing fast and accurate results, with minimal data preprocessing. Currently, gait ana... 详细信息
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Importance resampling based on surfels with dynamic lighting
Importance resampling based on surfels with dynamic lighting
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2023 International conference on image, Signal processing. and pattern recognition, ISPP 2023
作者: Wang, Tingyu Wu, Zhihong College of Computer Science Sichuan University Chengdu China
DDGI, GIBS, and other similar dynamic global illumination algorithms solve the irradiance integral by shortening and reusing the light path, obtaining the multi-bounce diffuse reflection effect without recursion. Howe... 详细信息
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Dual Collaborative Visual-Semantic Mapping for Multi-Label Zero-Shot image recognition  48
Dual Collaborative Visual-Semantic Mapping for Multi-Label Z...
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48th ieee International conference on Acoustics, Speech and Signal processing. ICASSP 2023
作者: Hu, Yunqing Jin, Xuan Chen, Xi Zhang, Yin Zhejiang University College of Computer Science and Technology Hangzhou China Alibaba Group Hangzhou China
Multi-label zero-shot learning (ML-ZSL), with the difficulty of both multi-label learning and zero-shot learning, aims to recognize various unseen objects that are not observed during training. Previous methods mainly... 详细信息
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A Stealthy Backdoor Attack Method Based on Generative Adversarial Networks  5
A Stealthy Backdoor Attack Method Based on Generative Advers...
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5th Asia-Pacific conference on image processing. Electronics and computers, IPEC 2024
作者: Tan, Yayue Yu, Gao Zhang, Yaqi Tang, Yongqing Southwest University College of Computer and Information Science School of Software Chongqing China Payment core platform Ant Group Co. Ltd Department of Payment Platform Technology Chengdu China University of Electronic Science and Technology of China School of Information and Software Engineering Chengdu China
Deep neural networks have been widely and successfully applied to many critical tasks, such as image pattern recognition, natural language processing.and autonomous driving, and large amounts of training data and incr... 详细信息
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Transforming Classification with Federated Learning on Blockchain: A Unique Model Integration Approach
Transforming Classification with Federated Learning on Block...
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2025 ieee International conference on Acoustics, Speech, and Signal processing. ICASSP 2025
作者: Hao, Zhihao Zhang, Bob Li, Haisheng School of Computer Science and Artificial Intelligence Beijing Technology and Business University Beijing China Dept. of Computer and Information Science Faculty of Science and Technology University of Macau Taipa China Centre for Artificial Intelligence and Robotics Institute of Collaborative Innovation University of Macau Taipa China
The need for robust machine learning models is particularly evident in the realm of biological pattern recognition. Traditional centralized methods often struggle, as they frequently depend on large datasets that are ... 详细信息
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