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检索条件"机构=Institute of Computer Science II-Computer Graphics"
2428 条 记 录,以下是121-130 订阅
排序:
QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit Quantization
arXiv
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arXiv 2022年
作者: Boutros, Fadi Damer, Naser Kuijper, Arjan Fraunhofer Institute for Computer Graphics Research IGD Darmstadt Germany Department of Computer Science TU Darmstadt Darmstadt Germany
Deep learning-based face recognition models follow the common trend in deep neural networks by utilizing full-precision floating-point networks with high computational costs. Deploying such networks in use-cases const... 详细信息
来源: 评论
Towards Explaining Demographic Bias through the Eyes of Face Recognition Models
Towards Explaining Demographic Bias through the Eyes of Face...
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IEEE International Joint Conference on Biometrics (IJCB)
作者: Biying Fu Naser Damer Fraunhofer Institute for Computer Graphics Research IGD Darmstadt Germany Department of Computer Science TU Darmstadt Darmstadt Germany
Biases inherent in both data and algorithms make the fairness of widespread machine learning (ML)-based decision-making systems less than optimal. To improve the trustfulness of such ML decision systems, it is crucial... 详细信息
来源: 评论
Towards Explaining Demographic Bias through the Eyes of Face Recognition Models
arXiv
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arXiv 2022年
作者: Fu, Biying Damer, Naser Fraunhofer Institute for Computer Graphics Research IGD Darmstadt Germany Department of Computer Science TU Darmstadt Darmstadt Germany
Biases inherent in both data and algorithms make the fairness of widespread machine learning (ML)-based decision-making systems less than optimal. To improve the trustfulness of such ML decision systems, it is crucial... 详细信息
来源: 评论
Unsupervised Face Morphing Attack Detection via Self-paced Anomaly Detection
Unsupervised Face Morphing Attack Detection via Self-paced A...
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IEEE International Joint Conference on Biometrics (IJCB)
作者: Meiling Fang Fadi Boutros Naser Damer Fraunhofer Institute for Computer Graphics Research IGD Darmstadt Germany Department of Computer Science TU Darmstadt Darmstadt Germany
The supervised-learning-based morphing attack detection (MAD) solutions achieve outstanding success in dealing with attacks from known morphing techniques and known data sources. However, given variations in the morph... 详细信息
来源: 评论
DRT: Detection Refinement for Multiple Object Tracking  32
DRT: Detection Refinement for Multiple Object Tracking
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32nd British Machine Vision Conference, BMVC 2021
作者: Wang, Bisheng Fruhwirth-Reisinger, Christian Possegger, Horst Bischof, Horst Cao, Guo School of Computer Science and Engineering Nanjing University of Science and Technology China Christian Doppler Laboratory for Embedded Machine Learning Austria Institute of Computer Graphics and Vision Graz University of Technology Austria
Deep learning methods have led to remarkable progress in multiple object tracking (MOT). However, when tracking in crowded scenes, existing methods still suffer from both inaccurate and missing detections. This paper ... 详细信息
来源: 评论
Unsupervised Face Morphing Attack Detection via Self-paced Anomaly Detection
arXiv
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arXiv 2022年
作者: Fang, Meiling Boutros, Fadi Damer, Naser Fraunhofer Institute for Computer Graphics Research IGD Darmstadt Germany Department of Computer Science TU Darmstadt Darmstadt Germany
The supervised-learning-based morphing attack detection (MAD) solutions achieve outstanding success in dealing with attacks from known morphing techniques and known data sources. However, given variations in the morph... 详细信息
来源: 评论
Unsupervised Face Recognition using Unlabeled Synthetic Data
arXiv
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arXiv 2022年
作者: Boutros, Fadi Klemt, Marcel Fang, Meiling Kuijper, Arjan Damer, Naser Fraunhofer Institute for Computer Graphics Research IGD Darmstadt Germany Department of Computer Science TU Darmstadt Darmstadt Germany
Over the past years, the main research innovations in face recognition focused on training deep neural networks on large-scale identity-labeled datasets using variations of multi-class classification losses. However, ... 详细信息
来源: 评论
Profit aware Resource Allocation in Fog Computing: A Stackelberg Game Approach
Profit aware Resource Allocation in Fog Computing: A Stackel...
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2023 IEEE International Conference on computer, Information, and Telecommunication Systems, CITS 2023
作者: Doad, Akshita Gupta, Nitin Obaidat, Mohammad S. Jadon, Kuldeep Singh Rawat, Piyush Hsiao, Kuie-Fang National Institute of Technology Department of Computer Science and Engineering HP Hamirpur India Distinguished Professor at the King Abdullah Ii School of Information Technology The University of Jordan Amman11942 Jordan School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China The Amity University UP Noida201301 India University of Texas-Permain Basin OdessaTX United States
Recently, Internet of Things (IoT) based smart systems have led to more latency-sensitive and bandwidth hungry IoT applications. Fog computing as an extension of Cloud computing fulfills those requirements more effect... 详细信息
来源: 评论
Secure Image Steganography Technique based on Hybrid Transforms and Enhanced AES
Secure Image Steganography Technique based on Hybrid Transfo...
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2022 International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2022
作者: Shaik, Syed Basha Devi, D. Sudha Sujithra, M. Sarika, G. Tripathi, Vikas Kapila, Dhiraj K L University Department of Computer Science and Engineering Vijayawada India Coimbatore Institute of Technology Department of Computing-Data Science Coimbatore India Baselios Mathews II College of Engineering Department of Electronics and Communication Engineering Kerala Sasthamkotta India Graphic Era Deemed to Be University Department of Computer Science and Engineering Uttarakhand Dehradun India Lovely Professional University Department of Computer Science and Engineering Phagwara India
This, work uses a hybrid technique that combines the Modified Advanced Encryption Standard (MAES) and Elliptic Curve Cryptography to encrypt medical images (ECC). This article describes a modified AES for image encryp... 详细信息
来源: 评论
To the Point: From Dynamic Heatmap Video to Gaze Points  25
To the Point: From Dynamic Heatmap Video to Gaze Points
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Proceedings of the 2025 Symposium on Eye Tracking Research and Applications
作者: Beryl Gnanaraj Swetha Manivasagam Jaya Sreevalsan-Nair Graphics-Visualization-Computing Lab International Institute of Information Technology Bangalore Bangalore Karnataka India Department of Computer Science and Engineering PSG College of Technology Coimbatore Tamil Nadu India
来源: 评论