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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000"
19487 条 记 录,以下是4741-4750 订阅
排序:
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association
Seeking the Shape of Sound: An Adaptive Framework for Learni...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wen, Peisong Xu, Qianqian Jiang, Yangbangyan Yang, Zhiyong He, Yuan Huang, Qingming Chinese Acad Sci Inst Comput Tech Key Lab Intel Info Proc Beijing Peoples R China Univ Chinese Acad Sci Sch Comp Sci & Tech Beijing Peoples R China Chinese Acad Sci Inst Info Engn State Key Lab Info Secur SKLOIS Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China Alibaba Grp Beijing Peoples R China Univ Chinese Acad Sci BDKM Beijing Peoples R China Peng Cheng Lab Shenzhen Peoples R China
Nowadays, we have witnessed the early progress on learning the association between voice and face automatically, which brings a new wave of studies to the computer vision community. However, most of the prior arts alo... 详细信息
来源: 评论
MR Image Super-Resolution with Squeeze and Excitation Reasoning Attention Network
MR Image Super-Resolution with Squeeze and Excitation Reason...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Yulun Li, Kai Li, Kunpeng Fu, Yun Northeastern Univ Dept ECE Boston MA 02115 USA Northeastern Univ Khoury Coll Comp Sci Boston MA 02115 USA
High-quality high-resolution (HR) magnetic resonance (MR) images afford more detailed information for reliable diagnosis and quantitative image analyses. Deep convolutional neural networks (CNNs) have shown promising ... 详细信息
来源: 评论
Multi-Stage Progressive Image Restoration
Multi-Stage Progressive Image Restoration
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zamir, Syed Waqas Arora, Aditya Khan, Salman Hayat, Munawar Khan, Fahad Shahbaz Yang, Ming-Hsuan Shao, Ling Incept Inst AI Abu Dhabi U Arab Emirates Mohamed bin Zayed Univ AI Abu Dhabi U Arab Emirates Monash Univ Clayton Vic Australia Univ Calif Merced Merced CA USA Yonsei Univ Seoul South Korea Google Res Mountain View CA USA
Image restoration tasks demand a complex balance between spatial details and high-level contextualized information while recovering images. In this paper, we propose a novel synergistic design that can optimally balan... 详细信息
来源: 评论
Improving OCR-based Image Captioning by Incorporating Geometrical Relationship
Improving OCR-based Image Captioning by Incorporating Geomet...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wang, Jing Tang, Jinhui Yang, Mingkun Bai, Xiang Luo, Jiebo Nanjing Univ Sci & Technol Nanjing Peoples R China Huazhong Univ Sci & Technol Wuhan Peoples R China Univ Rochester Rochester NY 14627 USA
OCR-based image captioning aims to automatically describe images based on all the visual entities (both visual objects and scene text) in images. Compared with conventional image captioning, the reasoning of scene tex... 详细信息
来源: 评论
Recognizing Rigid patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants with no False Negatives and no False Positives
Recognizing Rigid Patterns of Unlabeled Point Clouds by Comp...
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conference on computer vision and pattern recognition (cvpr)
作者: Daniel Widdowson Vitaliy Kurlin Computer Science department University of Liverpool UK
Rigid structures such as cars or any other solid objects are often represented by finite clouds of unlabeled points. The most natural equivalence on these point clouds is rigid motion or isometry maintaining all inter...
来源: 评论
Boosting Video Representation Learning with Multi-Faceted Integration
Boosting Video Representation Learning with Multi-Faceted In...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Qiu, Zhaofan Yao, Ting Ngo, Chong-Wah Zhang, Xiao-Ping Wu, Dong Mei, Tao JD AI Res Beijing Peoples R China Singapore Management Univ Singapore Singapore Ryerson Univ Toronto ON Canada
Video content is multifaceted, consisting of objects, scenes, interactions or actions. The existing datasets mostly label only one of the facets for model training, resulting in the video representation that biases to... 详细信息
来源: 评论
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking
IoU Attack: Towards Temporally Coherent Black-Box Adversaria...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Jia, Shuai Song, Yibing Ma, Chao Yang, Xiaokang Shanghai Jiao Tong Univ AI Inst MoE Key Lab Artificial Intelligence Shanghai Peoples R China Tencent AI Lab Bellevue WA USA
Adversarial attack arises due to the vulnerability of deep neural networks to perceive input samples injected with imperceptible perturbations. Recently, adversarial attack has been applied to visual object tracking t... 详细信息
来源: 评论
Interpreting Super-Resolution Networks with Local Attribution Maps
Interpreting Super-Resolution Networks with Local Attributio...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Gu, Jinjin Dong, Chao Univ Sydney Sch Elect & Informat Engn Sydney NSW Australia Chinese Acad Sci Shenzhen Inst Adv Technol Key Lab Human Machine Intelligence Synergy Syst Shenzhen Peoples R China Shenzhen Inst Artificial Intelligence & Robot Soc SIAT Branch Shenzhen Peoples R China
Image super-resolution (SR) techniques have been developing rapidly, benefiting from the invention of deep networks and its successive breakthroughs. However, it is acknowledged that deep learning and deep neural netw... 详细信息
来源: 评论
Diverse Branch Block: Building a Convolution as an Inception-like Unit
Diverse Branch Block: Building a Convolution as an Inception...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Ding, Xiaohan Zhang, Xiangyu Han, Jungong Ding, Guiguang Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol BNRis Beijing Peoples R China Tsinghua Univ Sch Software Beijing Peoples R China MEGVII Technol Beijing Peoples R China Aberystwyth Univ Comp Sci Dept Aberystwyth SY23 3FL Dyfed Wales MEGVII Beijing Peoples R China
We propose a universal building block of Convolutional Neural Network (ConvNet) to improve the performance without any inference-time costs. The block is named Diverse Branch Block (DBB), which enhances the representa... 详细信息
来源: 评论
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
NTIRE 2022 Challenge on Super-Resolution and Quality Enhance...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Yang, Ren Timofte, Radu Zheng, Meisong Xing, Qunliang Qiao, Minglang Xu, Mai Jiang, Lai Liu, Huaida Chen, Ying Ben, Youcheng Zhou, Xiao Fu, Chen Cheng, Pei Yu, Gang Li, Junyi Wu, Renlong Zhang, Zhilu Shang, Wei Lv, Zhengyao Chen, Yunjin Zhou, Mingcai Ren, Dongwei Zhang, Kai Zuo, Wangmeng Ostyakov, Pavel Dmitry, Vyal Soltanayev, Shakarim Sergey, Chervontsev Magauiya, Zhussip Zou, Xueyi Yan, Youliang Michelini, Pablo Navarrete Lu, Yunhua Zhang, Diankai Liu, Shaoli Gao, Si Wu, Biao Zheng, Chengjian Zhang, Xiaofeng Lu, Kaidi Wang, Ning Thuong Nguyen Canh Bach, Thong Wang, Qing Sun, Xiaopeng Ma, Haoyu Zhao, Shijie Li, Junlin Xie, Liangbin Shi, Shuwei Yang, Yujiu Wang, Xintao Gu, Jinjin Dong, Chao Shi, Xiaodi Nian, Chunmei Jiang, Dong Lin, Jucai Xie, Zhihuai Ye, Mao Luo, Dengyan Peng, Liuhan Chen, Shengjie Liu, Xin Wang, Qian Liang, Boyang Dong, Hang Huang, Yuhao Chen, Kai Guo, Xingbei Sun, Yujing Wu, Huilei Wei, Pengxu Huang, Yulin Chen, Junying Lee, Ik Hyun Khowaja, Sunder Ali Yoon, Jiseok Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland Julius Maximilian Univ Wurzburg Wurzburg Germany Alibaba Grp Dept Tao Technol Beijing Peoples R China Beihang Univ Beijing Peoples R China Tencent Shenzhen Peoples R China Harbin Inst Technol Harbin Peoples R China Huawei Noahs Ark Lab Hong Kong Peoples R China BOE Technol Grp Co Ltd Beijing Peoples R China ZTE Audio & Video Technol Platform Dept Nanjing Peoples R China Osaka Univ Osaka Japan ByteDance Shenzhen Peoples R China Shanghai AI Lab Shanghai Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol SIAT Shenzhen Peoples R China Hangzhou Univ Elect Sci & Technol Hangzhou Peoples R China Univ Elect Sci & Technol China Chengdu Peoples R China Xinjiang Univ Urumqi Xinjiang Peoples R China China Mobile Res Inst Beijing Peoples R China Sun Yat Sen Univ Guangzhou Peoples R China Peking Univ Beijing Peoples R China City Univ Hong Kong Hong Kong Peoples R China South China Univ Technol Guangzhou Peoples R China Tech Univ Korea Siheung Si South Korea Univ Sindh Sindh Pakistan IKLAB New York NY USA
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the LDV dataset (240 videos) and 95 addit... 详细信息
来源: 评论