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20162021
most citedExploring the Regularity of Sparse Structure in Convolutional Neural Networks

230 citations · 502 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CV20212 cited

PatchNet -- Short-range Template Matching for Efficient Video Processing

Huizi Mao, Sibo Zhu, Song Han +1

Object recognition is a fundamental problem in many video processing tasks, accurately locating seen objects at low computation cost paves the way for on-device video recognition.…

cs.CV2019

A Delay Metric for Video Object Detection: What Average Precision Fails to Tell

Huizi Mao, Xiaodong Yang, William J. Dally

Average precision (AP) is a widely used metric to evaluate detection accuracy of image and video object detectors. In this paper, we analyze object detection from videos and point…

cs.CV2018

CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video

Huizi Mao, Taeyoung Kong, William J. Dally

Detecting objects in a video is a compute-intensive task. In this paper we propose CaTDet, a system to speedup object detection by leveraging the temporal correlation in video. CaT…

cs.CV2018

Efficient Sparse-Winograd Convolutional Neural Networks

Xingyu Liu, Jeff Pool, Song Han +1

Convolutional Neural Networks (CNNs) are computationally intensive, which limits their application on mobile devices. Their energy is dominated by the number of multiplies needed t…

cs.CV2017132 cited

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI

Morteza Mardani, Enhao Gong, Joseph Y. Cheng +8

Magnetic resonance image (MRI) reconstruction is a severely ill-posed linear inverse task demanding time and resource intensive computations that can substantially trade off {\it a…