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检索条件"机构=Center of Computer Vision & Pattern Recognition Bahria University"
59 条 记 录,以下是1-10 订阅
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CodePhys: Robust Video-Based Remote Physiological Measurement Through Latent Codebook Querying
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IEEE Journal of Biomedical and Health Informatics 2025年 PP卷 PP页
作者: Chu, Shuyang Xia, Menghan Yuan, Mengyao Liu, Xin Seppanen, Tapio Zhao, Guoying Shi, Jingang Xi'an Jiaotong University School of Software Engineering Xi'an China Tencent Ai Lab Shenzhen China Lappeenranta-Lahti University of Technology Lut Computer Vision and Pattern Recognition Laboratory Lappeenranta53850 Finland University of Oulu Center for Machine Vision and Signal Analysis Finland
Remote photoplethysmography (rPPG) aims to measure non-contact physiological signals from facial videos, which has shown great potential in many applications. Most existing methods directly extract video-based rPPG fe... 详细信息
来源: 评论
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation
Med-DANet V2: A Flexible Dynamic Architecture for Efficient ...
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IEEE Workshop on Applications of computer vision (WACV)
作者: Haoran Shen Yifu Zhang Wenxuan Wang Chen Chen Jing Liu Shanshan Song Jiangyun Li School of Automation and Electrical Engineering University of Science and Technology Beijing Center for Research in Computer Vision University of Central Florida National Lab of Pattern Recognition Institute of Automation Chinese Academy of Sciences
Recent works have shown that the computational efficiency of 3D medical image (e.g. CT and MRI) segmentation can be impressively improved by dynamic inference based on slice-wise complexity. As a pioneering work, a dy...
来源: 评论
CodePhys: Robust Video-based Remote Physiological Measurement through Latent Codebook Querying
arXiv
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arXiv 2025年
作者: Chu, Shuyang Xia, Menghan Yuan, Mengyao Liu, Xin Seppanen, Tapio Zhao, Guoying Shi, Jingang The School of Software Engineering Xi’an Jiaotong University Xi’an China The Tencent AI Lab Shenzhen China The Computer Vision and Pattern Recognition Laboratory Lappeenranta-Lahti University of Technology LUT Lappeenranta53850 Finland The Center for Machine Vision and Signal Analysis University of Oulu Finland
Remote photoplethysmography (rPPG) aims to measure non-contact physiological signals from facial videos, which has shown great potential in many applications. Most existing methods directly extract video-based rPPG fe... 详细信息
来源: 评论
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation
arXiv
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arXiv 2023年
作者: Shen, Haoran Zhang, Yifu Wang, Wenxuan Chen, Chen Liu, Jing Song, Shanshan Li, Jiangyun School of Automation and Electrical Engineering University of Science and Technology Beijing China Center for Research in Computer Vision University of Central Florida United States National Lab of Pattern Recognition Institute of Automation Chinese Academy of Sciences China
Recent works have shown that the computational efficiency of 3D medical image (e.g. CT and MRI) segmentation can be impressively improved by dynamic inference based on slice-wise complexity. As a pioneering work, a dy... 详细信息
来源: 评论
Special Issue on Face Presentation Attack Detection
IEEE Transactions on Biometrics, Behavior, and Identity Scie...
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IEEE Transactions on Biometrics, Behavior, and Identity Science 2021年 第3期3卷 282-284页
作者: Wan, Jun Escalera, Sergio Escalante, Hugo Jair Guo, Guodong Li, Stan Z. National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing100190 China Computer Vision Center Universitat de Barcelona Barcelona08007 Spain Instituto Nacional de Astrofísica Óptica y Electrónica Puebla72840 Mexico Institute of Deep Learning Baidu Research Beijing100193 China Center for Ai Research and Innovation Westlake University Hangzhou310024 China
Face presentation attack detection, also termed Face Anti-Spoofing (FAS) [item 1), 2) in the Appendix), is a hot and challenging research topic that has received much attention from the computer vision and pattern rec... 详细信息
来源: 评论
An Hybrid Attention-Based System for the Prediction of Facial Attributes  4th
An Hybrid Attention-Based System for the Prediction of Fac...
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4th International Workshop on Brain-Inspired Computing, BrainComp 2019
作者: Khellat-Kihel, Souad Sun, Zhenan Tistarelli, Massimo Computer Vision Laboratory University of Sassari Viale Italia 39 Sassari07100 Italy Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Room 1605 Intelligence Bulding 95 Zhongguancun East Road Beijing100190 China Computer Vision Laboratory Department of Biomedical Sciences and Information Technology University of Sassari Viale S. Pietro 43/b Sassari07100 Italy
Recent research on face analysis has demonstrated the richness of information embedded in feature vectors extracted from a deep convolutional neural network. Even though deep learning achieved a very high performance ... 详细信息
来源: 评论
Exploring Fusion Strategies for Accurate RGBT Visual Object Tracking
arXiv
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arXiv 2022年
作者: Tang, Zhangyong Xu, Tianyang Li, Hui Wu, Xiao-Jun Zhu, XueFeng Kittler, Josef Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China The Center for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
We address the problem of multi-modal object tracking in video and explore various options of fusing the complementary information conveyed by the visible (RGB) and thermal infrared (TIR) modalities including pixel-le... 详细信息
来源: 评论
Evaluation of Unconditioned Deep Generative Synthesis of Retinal Images  20th
Evaluation of Unconditioned Deep Generative Synthesis of Ret...
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20th International Conference on Advanced Concepts for Intelligent vision Systems, ACIVS 2020
作者: Kaplan, Sinan Lensu, Lasse Laaksonen, Lauri Uusitalo, Hannu Computer Vision and Pattern Recognition Laboratory Lappeenranta-Lahti University of Technology LUT P.O. Box 20 Lappeenranta53850 Finland Department of Ophthalmology Faculty of Health and Biotechnology Tampere University and Tays Eye Center Tampere Finland
Retinal images have been increasingly important in clinical diagnostics of several eye and systemic diseases. To help the medical doctors in this work, automatic and semi-automatic diagnosis methods can be used to inc... 详细信息
来源: 评论
A Survey of the Self Supervised Learning Mechanisms for vision Transformers
arXiv
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arXiv 2024年
作者: Khan, Asifullah Sohail, Anabia Fiaz, Mustansar Hassan, Mehdi Afridi, Tariq Habib Marwat, Sibghat Ullah Munir, Farzeen Ali, Safdar Naseem, Hannan Zaheer, Muhammad Zaigham Ali, Kamran Sultana, Tangina Tanoli, Ziaurrehman Akhter, Naeem Pattern Recognition Lab DCIS PIEAS Nilore Islamabad45650 Pakistan PIEAS Nilore Islamabad45650 Pakistan Deep Learning Lab Center for Mathematical Sciences PIEAS Nilore Islamabad45650 Pakistan Center of Secure Cyber-Physical Security Systems Khalifa University Abu Dhabi United Arab Emirates IBM Research United States Department of Computer Science Air University Islamabad Pakistan Department of Computer Science and Engineering Kyung Hee University Global Campus 1732 Gyeonggi-do Yongin17104 Korea Republic of Department of Electrical Engineering and Automation Aalto University Finland Finnish Center of Artificial Center Finland Faculty of Engineering and Green Technology Universiti Tunku Abdul Rahman Malaysia Computer Vision Department Mohamed Bin Zayed University of Artificial Intelligence United Arab Emirates Karachi Pakistan Department of Electronics and Communication Engineering Hajee Mohammad Danesh Science and Technology University Bangladesh HiLIFE University of Helsinki Finland
vision Transformers (ViTs) have recently demonstrated remarkable performance in computer vision tasks. However, their parameter-intensive nature and reliance on large amounts of data for effective performance have shi... 详细信息
来源: 评论
RFN-Nest: An end-to-end residual fusion network for infrared and visible images
arXiv
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arXiv 2021年
作者: Li, Hui Wu, Xiao-Jun Kittler, Josef Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China The Center for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
In the image fusion field, the design of deep learning-based fusion methods is far from routine. It is invariably fusion-task specific and requires a careful consideration. The most difficult part of the design is to ... 详细信息
来源: 评论