2020 Ieee Cvf Conference On Computer Vision And Pattern Recognition Cvpr


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2020 IEEE CVF Conference on Computer Vision and Pattern Recognition (CVPR)


2020 IEEE CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Author: IEEE Staff

language: en

Publisher:

Release Date: 2020-06-13


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CVPR is the premier annual computer vision event comprising the main conference and several co located workshops and short courses With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers

2020 IEEE CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)


2020 IEEE CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Author: IEEE Staff

language: en

Publisher:

Release Date: 2020-06-14


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CVPR is the premier annual computer vision event comprising the main conference and several co located workshops and short courses With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers

Pattern Recognition and Computer Vision


Pattern Recognition and Computer Vision

Author: Qingshan Liu

language: en

Publisher: Springer Nature

Release Date: 2023-12-24


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The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.