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M. Levine

4 papers hereh-index 429.3k citations166 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • M. Levine — 17 papers, h 29
  • M. Levine — 14 papers, h 72
  • M. Levine — 7 papers, h 9
  • M. Levine — 2 papers, h 17
  • M. Levine — 2 papers, h 36
  • M. Levine — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162020
most citedPlayer Identification in Hockey Broadcast Videos

25 citations · 26 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2020★ 25 cited

Player Identification in Hockey Broadcast Videos

Alvin Chan, Martin D. Levine, Mehrsan Javan

We present a deep recurrent convolutional neural network (CNN) approach to solve the problem of hockey player identification in NHL broadcast videos. Player identification is a dif…

cs.CV2018

Video Anomaly Detection and Localization via Gaussian Mixture Fully Convolutional Variational Autoencoder

Yaxiang Fan, Gongjian Wen, Deren Li +2

We present a novel end-to-end partially supervised deep learning approach for video anomaly detection and localization using only normal samples. The insight that motivates this st…

cs.CV2017★ 1 cited

Multi-Path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained "Hard Faces"

Yuguang Liu, Martin D. Levine

Large-scale variations still pose a challenge in unconstrained face detection. To the best of our knowledge, no current face detection algorithm can detect a face as large as 800 x…

cs.CV2016

Visual Saliency Based on Scale-Space Analysis in the Frequency Domain

Jian Li, Martin Levine, Xiangjing An +2

We address the issue of visual saliency from three perspectives. First, we consider saliency detection as a frequency domain analysis problem. Second, we achieve this by employing…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.