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检索条件"任意字段=IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops"
8966 条 记 录,以下是1261-1270 订阅
A Lightweight Spatiotemporal Network for Online Eye Tracking with Event Camera
A Lightweight Spatiotemporal Network for Online Eye Tracking...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Yan Ru Pei Sasskia Brüers Sébastien Crouzet Douglas McLelland Olivier Coenen Brainchip Inc. Laguna Hills CA
Event-based data are commonly encountered in edge computing environments where efficiency and low latency are critical. To interface with such data and leverage their rich temporal features, we propose a causal spatio... 详细信息
来源: 评论
Focusing on What Matters: Fine-grained Medical Activity recognition for Trauma Resuscitation via Actor Tracking
Focusing on What Matters: Fine-grained Medical Activity Reco...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Wenjin Zhang Keyi Li Sen Yang Sifan Yuan Ivan Marsic Genevieve J. Sippel Mary S. Kim Randall S. Burd Rutgers University Waymo Children’s National Hospital
Trauma is a leading cause of mortality worldwide, with about 20% of these deaths being preventable. Most of these preventable deaths result from errors during the initial resuscitation of injured patients. Decision su... 详细信息
来源: 评论
Avalanche: an End-to-End Library for Continual Learning
Avalanche: an End-to-End Library for Continual Learning
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lomonaco, Vincenzo Pellegrini, Lorenzo Cossu, Andrea Carta, Antonio Graffieti, Gabriele Hayes, Tyler L. De Lange, Matthias Masana, Marc Pomponi, Jary Van de Ven, Gido M. Mundt, Martin She, Qi Cooper, Keiland Forest, Jeremy Belouadah, Eden Calderara, Simone Parisi, German, I Cuzzolin, Fabio Tolias, Andreas S. Scardapane, Simone Antiga, Luca Ahmad, Subutai Popescu, Adrian Kanan, Christopher Van de Weijer, Joost Tuytelaars, Tinne Bacciu, Davide Maltoni, Davide Univ Pisa Pisa Italy Univ Bologna Bologna Italy Rochester Inst Technol Rochester NY 14623 USA Katholieke Univ Leuven Leuven Belgium Univ Autonoma Barcelona Barcelona Spain Sapienza Univ Rome Rome Italy Baylor Coll Med Houston TX 77030 USA Goethe Univ Frankfurt Germany ByteDance AI Lab Beijing Peoples R China Univ Calif Berkeley Berkeley CA 94720 USA NYU New York NY USA Univ Paris Saclay Paris France Univ Modena & Reggio Emilia Modena Italy Univ Hamburg Hamburg Germany Oxford Brookes Univ Oxford England Orobix Bergamo Italy Numenta Redwood City CA USA Scuola Normale Super Pisa Pisa Italy
Learning continually from non-stationary data streams is a long-standing goal and a challenging problem in machine learning. Recently, we have witnessed a renewed and fast-growing interest in continual learning, espec... 详细信息
来源: 评论
Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks
Faster Than Lies: Real-time Deepfake Detection using Binary ...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Romeo Lanzino Federico Fontana Anxhelo Diko Marco Raoul Marini Luigi Cinque Department of Computer Science Sapienza University of Rome Rome Italy
Deepfake detection aims to contrast the spread of deep-generated media that undermines trust in online content. While existing methods focus on large and complex models, the need for real-time detection demands greate... 详细信息
来源: 评论
Recognize Anything: A Strong Image Tagging Model
Recognize Anything: A Strong Image Tagging Model
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Youcai Zhang Xinyu Huang Jinyu Ma Zhaoyang Li Zhaochuan Luo Yanchun Xie Yuzhuo Qin Tong Luo Yaqian Li Shilong Liu Yandong Guo Lei Zhang OPPO Research Institute International Digital Economy Academy (IDEA) AI2Robotics
We present the Recognize Anything Model (RAM): a strong foundation model for image tagging. RAM makes a substantial step for foundation models in computer vision, demonstrating the zero-shot ability to recognize any c... 详细信息
来源: 评论
CSANet: High Speed Channel Spatial Attention Network for Mobile ISP
CSANet: High Speed Channel Spatial Attention Network for Mob...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hsyu, Ming-Chun Liu, Chih-Wei Chen, Chao-Hung Chen, Chao-Wei Tsai, Wen-Chia Ind Technol Res Inst Hsinchu Taiwan Natl Yang Ming Chiao Tung Univ Hsinchu Taiwan
The Image Signal Processor (ISP) is a customized device to restore RGB images from the pixel signals of CMOS image sensor. In order to realize this function, a series of processing units are leveraged to tackle differ... 详细信息
来源: 评论
Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Survey
Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Sur...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Nicolas Chahine Marcos V. Conde Daniela Carfora Gabriel Pacianotto Benoit Pochon Sira Ferradans Radu Timofte Zhichao Duan Xinrui Xu Yipo Huang Quan Yuan Xiangfei Sheng Zhichao Yang Leida Li Haotian Fan Fangyuan Kong Yifang Xu Wei Sun Weixia Zhang Yanwei Jiang Haoning Wu Zicheng Zhang Jun Jia Yingjie Zhou Zhongpeng Ji Xiongkuo Min Weisi Lin Guangtao Zhai Xiaoqi Wang Junqi Liu Zixi Guo Yun Zhang Zewen Chen Wen Wang Juan Wang Bing Li DXOMARK CAIDAS & IFI Computer Vision Lab University of Würzburg Xidian University ByteDance Inc Shanghai Jiao Tong University Nanyang Technological University Huawei School of Electronics and Communication Engineering Sun Yat-sen University China State Key Laboratory of Multimodal Artificial Intelligence Systems CASIA School of Artificial Intelligence University of Chinese Academy of Sciences Beijing Jiaotong University
This paper reviews the NTIRE 2024 Portrait Quality Assessment Challenge, highlighting the proposed solutions and results. This challenge aims to obtain an efficient deep neural network capable of estimating the percep... 详细信息
来源: 评论
EFI-Net: Video Frame Interpolation from Fusion of Events and Frames
EFI-Net: Video Frame Interpolation from Fusion of Events and...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Paikin, Genady Ater, Yotam Shaul, Roy Soloveichik, Evgeny Samsung Israel R&D Ctr Tel Aviv Israel
Event cameras are sensors with pixels that respond independently and asynchronously to changes in scene illumination. Event cameras have a number of advantages when compared to conventional cameras: low-latency, high ... 详细信息
来源: 评论
Federated Hyperparameter Optimization through Reward-Based Strategies: Challenges and Insights
Federated Hyperparameter Optimization through Reward-Based S...
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Krishna Kanth Nakka Ahmed Frikha Ricardo Mendis Xue Jiang Xuebing Zhou Huawei Munich Research Center
Performing hyperparameter tuning in federated learning is often prohibitively expensive due to the substantial communication overhead associated with training a single configuration, especially with a large hyperparam... 详细信息
来源: 评论
Where are they looking in the 3D space?
Where are they looking in the 3D space?
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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Nora Horanyi Linfang Zheng Eunji Chong Aleš Leonardis Hyung Jin Chang School of Computer Science University of Birmingham *** Inc.
We propose a novel depth-aware joint attention target estimation framework that estimates the attention target in 3D space. Our goal is to mimic human’s ability to understand where each person is looking in their pro...
来源: 评论