Computer Vision Acceleration
Computer Vision Acceleration is a hardware acceleration technique that specializes in expediting computer vision workloads through optimized computational architectures tailored to the structural and algorithmic demands of image and video analysis tasks.
546
Publications
32.2K
Citations
1.9K
Authors
536
Institutions
Publications per year
2017–2026
287
Parents
546
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network
Jiantao Qiu, Jie Wang, Song Yao et al. · 2016 · 1.3K citations
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni et al. · arXiv (Cornell University) · 2023 · 1K citations · Full text
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Peking University
Beijing, China
14 h-index
40 publications
3.3K citations
Tsinghua University
Beijing, China
12 h-index
62 publications
16.1K citations
ETH Zurich
Zurich, Switzerland
12 h-index
31 publications
3.1K citations

University of Toronto
Toronto, Canada
10 h-index
16 publications
1K citations
University of Chinese Academy of Sciences
Beijing, China
10 h-index
26 publications
2.5K citations

Chinese Academy of Sciences
Beijing, China
9 h-index
16 publications
1K citations
University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
26 publications
717 citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
20 publications
1.9K citations
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Repository · 34 publications · 3.8K citations
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10 publications · 561 citations
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9 publications · 783 citations
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7 publications · 205 citations
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