H
Haoqi Fan
Researcher at Facebook
Publications - 41
Citations - 14910
Haoqi Fan is an academic researcher from Facebook. The author has contributed to research in topics: Computer science & Feature learning. The author has an hindex of 14, co-authored 29 publications receiving 5373 citations. Previous affiliations of Haoqi Fan include Carnegie Mellon University & University of Maryland, College Park.
Papers
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Momentum Contrast for Unsupervised Visual Representation Learning
TL;DR: This article proposed Momentum Contrast (MoCo) for unsupervised visual representation learning, which enables building a large and consistent dictionary on-the-fly that facilitates contrastive learning.
Proceedings ArticleDOI
Momentum Contrast for Unsupervised Visual Representation Learning
TL;DR: This article proposed Momentum Contrast (MoCo) for unsupervised visual representation learning, which enables building a large and consistent dictionary on-the-fly that facilitates contrastive learning.
Proceedings ArticleDOI
SlowFast Networks for Video Recognition
TL;DR: This work presents SlowFast networks for video recognition, which achieves strong performance for both action classification and detection in video, and large improvements are pin-pointed as contributions by the SlowFast concept.
Posted Content
Improved Baselines with Momentum Contrastive Learning
TL;DR: With simple modifications to MoCo, this note establishes stronger baselines that outperform SimCLR and do not require large training batches, and hopes this will make state-of-the-art unsupervised learning research more accessible.
Proceedings ArticleDOI
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution
Yunpeng Chen,Haoqi Fan,Bing Xu,Zhicheng Yan,Yannis Kalantidis,Marcus Rohrbach,Yan Shuicheng,Jiashi Feng +7 more
TL;DR: OctConv as discussed by the authors factorizes the mixed feature maps by their frequencies, and design a novel Octave Convolution operation to store and process feature maps that vary spatially "slower" at a lower spatial resolution.