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检索条件"机构=Computer Vision and Pattern Recognition Lab."
297 条 记 录,以下是81-90 订阅
排序:
EfficientFCN: Holistically-Guided Decoding for Semantic Segmentation  1
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16th European Conference on computer vision, ECCV 2020
作者: Liu, Jianbo He, Junjun Zhang, Jiawei Ren, Jimmy S. Li, Hongsheng CUHK-SenseTime Joint Laboratory The Chinese University of Hong Kong Shatin Hong Kong Shenzhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Beijing China SenseTime Research Beijing China
Both performance and efficiency are important to semantic segmentation. State-of-the-art semantic segmentation algorithms are mostly based on dilated Fully Convolutional Networks (dilatedFCN), which adopt dilated conv... 详细信息
来源: 评论
VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection
arXiv
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arXiv 2022年
作者: Liu, Yi Zhang, Xuan Li, Ying Liang, Guixin Jiang, Yabing Qiu, Lixia Tang, Haiping Xie, Fei Yao, Wei Dai, Yi Qiao, Yu Wang, Yali ShenZhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institute of Advanced Technology Chinese Academy of Sciences China Shenzhen Bwell Technology Co. Ltd China Shenzhen Longhua Drainage Co. Ltd China Shanghai AI Laboratory Shanghai China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society China
Video understanding is an important problem in computer vision. Currently, the well-studied task in this research is human action recognition, where the clips are manually trimmed from the long videos, and a single cl... 详细信息
来源: 评论
A New Method for Detecting Altered Text in Document Images  2nd
A New Method for Detecting Altered Text in Document Images
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2nd International Conference on pattern recognition and Artificial Intelligence, ICPRAI 2020
作者: Nandanwar, Lokesh Shivakumara, Palaiahnakote Pal, Umapada Lu, Tong Lopresti, Daniel Seraogi, Bhagesh Chaudhuri, Bidyut B. Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University Nanjing China Computer Science and Engineering Lehigh University BethlehemPA United States
As more and more office documents are captured, stored, and shared in digital format, and as image editing software becomes increasingly more powerful, there is a growing concern about document authenticity. For examp... 详细信息
来源: 评论
A New Journey from SDRTV to HDRTV
A New Journey from SDRTV to HDRTV
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International Conference on computer vision (ICCV)
作者: Xiangyu Chen Zhengwen Zhang Jimmy S. Ren Lynhoo Tian Yu Qiao Chao Dong ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institute of Advanced Technology Chinese Academy of Sciences SenseTime Research Qing Yuan Research Institute Shanghai Jiao Tong University Shanghai AI Laboratory Shanghai
Nowadays modern displays are capable to render video content with high dynamic range (HDR) and wide color gamut (WCG). However, most availab.e resources are still in standard dynamic range (SDR). Therefore, there is a... 详细信息
来源: 评论
Efficient Image Super-Resolution Using Pixel Attention  16th
Efficient Image Super-Resolution Using Pixel Attention
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Workshops held at the 16th European Conference on computer vision, ECCV 2020
作者: Zhao, Hengyuan Kong, Xiangtao He, Jingwen Qiao, Yu Dong, Chao ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Beijing China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China University of Chinese Academy of Sciences Beijing China
This work aims at designing a lightweight convolutional neural network for image super resolution (SR). With simplicity bare in mind, we construct a pretty concise and effective network with a newly proposed pixel att... 详细信息
来源: 评论
Conditional Sequential Modulation for Efficient Global Image Retouching  16th
Conditional Sequential Modulation for Efficient Global Image...
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16th European Conference on computer vision, ECCV 2020
作者: He, Jingwen Liu, Yihao Qiao, Yu Dong, Chao ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT - SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Beijing China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China University of Chinese Academy of Sciences Beijing China
Photo retouching aims at enhancing the aesthetic visual quality of images that suffer from photographic defects such as over/under exposure, poor contrast, inharmonious saturation. Practically, photo retouching can be... 详细信息
来源: 评论
Learning Discriminative Representation For Facial Expression recognition From Uncertainties
Learning Discriminative Representation For Facial Expression...
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IEEE International Conference on Image Processing
作者: Xingyu Fan Zhongying Deng Kai Wang Xiaojiang Peng Yu Qiao Shenzhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China
Recent progresses on Facial Expression recognition (FER) heavily rely on deep learning models trained with large scale datasets. However, large-scale facial expression datasets always suffer from annotation uncertaint... 详细信息
来源: 评论
Survey on Deep Face Restoration: From Non-blind to Blind and Beyond
arXiv
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arXiv 2023年
作者: Li, Wenjie Wang, Mei Zhang, Kai Li, Juncheng Li, Xiaoming Zhang, Yuhang Gao, Guangwei Deng, Weihong Lin, Chia-Wen The Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China The Computer Vision Lab ETH Zürich Zürich Switzerland The School of Communication and Information Engineering Shanghai University Shanghai China The Nanyang Technological University Singapore The Intelligent Visual Information Perception Laboratory Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing China The Department of Electrical Engineering National Tsing Hua University Hsinchu Taiwan
Face restoration (FR) is a specialized field within image restoration that aims to recover low-quality (LQ) face images into high-quality (HQ) face images. Recent advances in deep learning technology have led to signi... 详细信息
来源: 评论
Temporal modulation network for controllab.e space-time video super-resolution
arXiv
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arXiv 2021年
作者: Xu, Gang Xu, Jun Li, Zhen Wang, Liang Sun, Xing Cheng, Ming-Ming College of Computer Science Nankai University Tianjin China School of Statistics and Data Science Nankai University Tianjin China National Lab of Pattern Recognition Institute of Automation CAS Beijing China Youtu Lab. Tencent Shanghai China
Space-time video super-resolution (STVSR) aims to increase the spatial and temporal resolutions of low-resolution and low-frame-rate videos. Recently, deformable convolution based methods have achieved promising STVSR... 详细信息
来源: 评论
Varicolored Image De-Hazing
Varicolored Image De-Hazing
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Conference on computer vision and pattern recognition (CVPR)
作者: Akshay Dudhane Kuldeep M. Biradar Prashant W. Patil Praful Hambarde Subrahmanyam Murala Computer Vision and Pattern Recognition Lab Indian Institute of Technology Ropar INDIA Indian Institute of Technology Ropar Ropar India
The quality of images captured in bad weather is often affected by chromatic casts and low visibility due to the presence of atmospheric particles. Restoration of the color balance is often ignored in most of the exis... 详细信息
来源: 评论