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检索条件"任意字段=2006 Conference on Computer Vision and Pattern Recognition Workshops"
5507 条 记 录,以下是571-580 订阅
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StillFast: An End-to-End Approach for Short-Term Object Interaction Anticipation
StillFast: An End-to-End Approach for Short-Term Object Inte...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Ragusa, Francesco Farinella, Giovanni Maria Furnari, Antonino University of Catania Next Vision S.r.l. - Spin-off of the University of Catania FPV@IPLab Italy
Anticipation problem has been studied considering different aspects such as predicting humans' locations, predicting hands and objects trajectories, and forecasting actions and human-object interactions. In this p... 详细信息
来源: 评论
A Temporal Encoder-Decoder Approach to Extracting Blood Volume Pulse Signal Morphology from Face Videos
A Temporal Encoder-Decoder Approach to Extracting Blood Volu...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Li, Fulan Thapa, Surendrabikram Bhat, Shreyas Sarkar, Abhijit Abbott, A. Lynn Virginia Tech Bradley Department of Electrical and Computer Engineering United States Virginia Tech Department of Computer Science United States Virginia Tech Transportation Institute United States
This paper considers methods for extracting blood volume pulse (BVP) representations from video of the human face. Whereas most previous systems have been concerned with estimating vital signs such as average heart ra... 详细信息
来源: 评论
Self-Supervised Video Similarity Learning
Self-Supervised Video Similarity Learning
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Kordopatis-Zilos, Giorgos Tolias, Giorgos Tzelepis, Christos Kompatsiaris, Ioannis Patras, Ioannis Papadopoulos, Symeon Czech Technical University VRG FEE Prague Czech Republic Queen Mary University London United Kingdom Information Technologies Institute CERTH Greece
We introduce S2VS, a video similarity learning approach with self-supervision. Self-Supervised Learning (SSL) is typically used to train deep models on a proxy task so as to have strong transferability on target tasks... 详细信息
来源: 评论
Deep Convolutional Sparse Coding Networks for Interpretable Image Fusion
Deep Convolutional Sparse Coding Networks for Interpretable ...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Zhao, Zixiang Zhang, Jiangshe Bai, Haowen Wang, Yicheng Cui, Yukun Deng, Lilun Sun, Kai Zhang, Chunxia Liu, Junmin Xu, Shuang Xi'an Jiaotong University China Eth Zurich Computer Vision Lab Switzerland Research and Development Institute Northwestern Polytechnical University in Shenzhen China Northwestern Polytechnical University China The University of Melbourne Australia
Image fusion is a significant problem in many fields including digital photography, computational imaging and remote sensing, to name but a few. Recently, deep learning has emerged as an important tool for image fusio... 详细信息
来源: 评论
Learning Multi-scale Representations with Single-stream Network for Video Retrieval
Learning Multi-scale Representations with Single-stream Netw...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Wang, Chia-Hui Tseng, Yu-Chee Chiang, Ting-Hui Chen, Yan-Ann National Yang Ming Chiao Tung University Department of Computer Science Taiwan National Yang Ming Chiao Tung University College of AI Taiwan Chunghwa Telecom Laboratories Advanced Technology Laboratory Taoyuan Taiwan Yuan Ze University Department of Computer Science and Engineering Taiwan
With the explosive growth of video contents in the Internet, video retrieval has become an important issue that can benefit video recommendation and copyright detection. Since the key features of a video may distribut... 详细信息
来源: 评论
Towards Real-Time 4K Image Super-Resolution
Towards Real-Time 4K Image Super-Resolution
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Zamfir, Eduard Conde, Marcos V. Timofte, Radu University of Würzburg Computer Vision Lab Caidas Ifi Germany
Over the past few years, high-definition videos and images in 720p (HD), 1080p (FHD), and 4K (UHD) resolution have become standard. While higher resolutions offer improved visual quality for users, they pose a signifi... 详细信息
来源: 评论
Just a Glimpse: Rethinking Temporal Information for Video Continual Learning
Just a Glimpse: Rethinking Temporal Information for Video Co...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Alssum, Lama León Alcázar, Juan Ramazanova, Merey Zhao, Chen Ghanem, Bernard Saudi Arabia
Class-incremental learning is one of the most important settings for the study of Continual Learning, as it closely resembles real-world application scenarios. With constrained memory sizes, catastrophic forgetting ar... 详细信息
来源: 评论
Win-Fail Action recognition
Win-Fail Action Recognition
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22nd IEEE/CVF Winter conference on Applications of computer vision (WACV)
作者: Parmar, Paritosh Morris, Brendan Univ British Columbia Vancouver BC Canada Univ Nevada Las Vegas NV 89154 USA
Current video/action understanding systems have demonstrated impressive performance on large recognition tasks. However, they might be limiting themselves to learning to recognize spatiotemporal patterns, rather than ... 详细信息
来源: 评论
Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results
Rip Current Segmentation: A Novel Benchmark and YOLOv8 Basel...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Dumitriu, Andrei Tatui, Florin Miron, Florin Ionescu, Radu Tudor Timofte, Radu CAIDAS IFI University of Würzburg Computer Vision Lab Germany University of Bucharest Romania
Rip currents are the leading cause of fatal accidents and injuries on many beaches worldwide, emphasizing the importance of automatically detecting these hazardous surface water currents. In this paper, we address a n... 详细信息
来源: 评论
Attack-Agnostic Deep Face Anti-Spoofing
Attack-Agnostic Deep Face Anti-Spoofing
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Liu, Ajian Tan, Zichang Liang, Yanyan Wan, Jun Institute of Automation Chinese Academy of Sciences Mais Beijing China Institute of Deep Learning Baidu Research Beijing China School of Computer Science and Engineering Faculty of Innovation Engineering Macau University of Science and Technology China
The task of face anti-spoofing (FAS) is to determine whether the captured face from a face recognition system is live or fake. Current methods which are trained with existing fake faces ignore the generalization and p... 详细信息
来源: 评论