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检索条件"任意字段=2006 Conference on Computer Vision and Pattern Recognition Workshops"
5387 条 记 录,以下是471-480 订阅
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Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction
Goal-driven Self-Attentive Recurrent Networks for Trajectory...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chiara, Luigi Filippo Coscia, Pasquale Das, Sourav Calderara, Simone Cucchiara, Rita Ballan, Lamberto Univ Padua Padua Italy Univ Modena & Reggio Emilia Modena Italy
Human trajectory forecasting is a key component of autonomous vehicles, social-aware robots and advanced video-surveillance applications. This challenging task typically requires knowledge about past motion, the envir... 详细信息
来源: 评论
EFE: End-to-end Frame-to-Gaze Estimation
EFE: End-to-end Frame-to-Gaze Estimation
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Balim, Haldun Park, Seonwook Wang, Xi Zhang, Xucong Hilliges, Otmar ETH Zürich Department of Computer Science Switzerland Lunit Inc. Delft University of Technology Computer Vision Lab Netherlands
Despite the recent development of learning-based gaze estimation methods, most methods require one or more eye or face region crops as inputs and produce a gaze direction vector as output. Cropping results in a higher... 详细信息
来源: 评论
Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators
Real-time Hyper-Dimensional Reconfiguration at the Edge usin...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kandaswamy, Indhumathi Farkya, Saurabh Daniels, Zachary van der Wal, Gooitzen Raghavan, Aswin Zhang, Yuzheng Hu, Jun Lomnitz, Michael Isnardi, Michael Zhang, David Piacentino, Michael SRI Int Ctr Vis Technol Princeton NJ 08540 USA
In this paper we present Hyper-Dimensional Reconfigurable Analytics at the Tactical Edge (HyDRATE) using low-SWaP embedded hardware that can perform real-time reconfiguration at the edge leveraging non-MAC (free of fl... 详细信息
来源: 评论
MARRS: Modern Backbones Assisted Co-training for Rapid and Robust Semi-Supervised Domain Adaptation
MARRS: Modern Backbones Assisted Co-training for Rapid and R...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Jain, Saurabh Kumar Das, Sukhendu Indian Institute of Technology Visualization and Perception Lab Department of Computer Science Engineering Madras India
Semi-Supervised Domain Adaptation (SSDA) aims to develop domain invariant models from scarcely labeled target domain in addition to the fully labeled source domain. Current SSDA works are often applied in conjunction ... 详细信息
来源: 评论
One-Stage Object Referring with Gaze Estimation
One-Stage Object Referring with Gaze Estimation
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chen, Jianhang Zhang, Xu Wu, Yue Ghosh, Shalini Natarajan, Pradeep Chang, Shih-Fu Allebach, Jan Purdue Univ W Lafayette IN 47907 USA Amazon Seattle WA 98109 USA Columbia Univ New York NY 10027 USA
The classic object referring task aims at localizing the referred object in the image and requires a reference image and a natural language description as inputs. Given the facts that gaze signal can be easily obtaine... 详细信息
来源: 评论
Guided Deep Metric Learning
Guided Deep Metric Learning
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gonzalez-Zapata, Jorge Reyes-Amezcua, Ivan Flores-Araiza, Daniel Mendez-Ruiz, Mauricio Ochoa-Ruiz, Gilberto Mendez-Vazquez, Andres CINVESTAV Unidad Guadalajara Zapopan Mexico Tecnol Monterrey Sch Engn & Sci Monterrey Mexico
Deep Metric Learning (DML) methods have been proven relevant for visual similarity learning. However, they sometimes lack generalization properties because they are trained often using an inappropriate sample selectio... 详细信息
来源: 评论
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
Multi-Head Distillation for Continual Unsupervised Domain Ad...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Saporta, Antoine Douillard, Arthur Vu, Tuan-Hung Perez, Patrick Cord, Matthieu Sorbonne Univ Paris France valeo ai Paris France Heuritech Paris France
Unsupervised Domain Adaptation (UDA) is a transfer learning task which aims at training on an unlabeled target domain by leveraging a labeled source domain. Beyond the traditional scope of UDA with a single source dom... 详细信息
来源: 评论
SoccerTrack: A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone Videos
SoccerTrack: A Dataset and Tracking Algorithm for Soccer wit...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Scott, Atom Uchida, Ikuma Onishi, Masaki Kameda, Yoshinari Fukui, Kazuhiro Fujii, Keisuke Univ Tsukuba Tsukuba Ibaraki Japan Natl Inst Adv Ind Sci & Technol Tsukuba Japan Nagoya Univ Nagoya Aichi Japan RIKEN JST PRESTO Tokyo Japan
Tracking devices that can track both players and balls are critical to the performance of sports teams. Recently, significant effort has been focused on building larger broadcast sports video datasets. However, broadc... 详细信息
来源: 评论
Contrastive Learning-based Robust Object Detection under Smoky Conditions
Contrastive Learning-based Robust Object Detection under Smo...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wu, Wei Chang, Hao Zheng, Yonghua Li, Zhu Chen, Zhiwen Zhang, Ziheng Xidian Univ State Key Lab Integrated Serv Networks Xian Peoples R China Univ Missouri Dept Comp Sci & Elect Engn Kansas City MO 64110 USA
Object detection is to effectively find out interested targets in images and then accurately determine their categories and positions. Recently many excellent methods have been developed to provide powerful detection ... 详细信息
来源: 评论
Remote Heart Rate Estimation by Signal Quality Attention Network
Remote Heart Rate Estimation by Signal Quality Attention Net...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gao, Haoyuan Wu, Xiaopei Geng, Jidong Lv, Yang Anhui Univ Sch Comp Sci & Technol Hefei Peoples R China
Heart rate estimation is very important for heart health monitoring. As a non-invasive optical technology, remote photoplethysmography (rPPG) has the advantages of non-contact, portability and low-price. However, moti... 详细信息
来源: 评论