445 citations
- University of Maryland, College ParkUS6 papers
- Adobe Systems (United States)US2 papers
- University of California, RiversideUS2 papers
- Academic College of Tel Aviv-YafoIL1 paper
- Allen Institute for Artificial IntelligenceUS1 paper
- Carnegie Mellon UniversityUS1 paper
- City University of New YorkUS1 paper
- Columbia UniversityUS1 paper
- Czech Academy of Sciences, Institute of Computer ScienceCZ1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Foundation for Research and Technology HellasGR1 paper
- Google (United States)US1 paper
4 papers · 1 filter
ActionFlowNet: Learning Motion Representation for Action Recognition
Joe Yue-Hei Ng, Jonghyun Choi, Jan Neumann +1
Even with the recent advances in convolutional neural networks (CNN) in various visual recognition tasks, the state-of-the-art action recognition system still relies on hand crafte…
How to Fake Multiply by a Gaussian Matrix
Michael Kapralov, Vamsi K. Potluru, David P. Woodruff
Have you ever wanted to multiply an matrix , with , on the left by an matrix of i.i.d. Gaussian random variables, but could not aff…
Mining Discriminative Triplets of Patches for Fine-Grained Classification
Yaming Wang, Jonghyun Choi, Vlad I. Morariu +1
Fine-grained classification involves distinguishing between similar sub-categories based on subtle differences in highly localized regions; therefore, accurate localization of disc…
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan, Jonghyun Choi, Jan Neumann +2
Perceiving meaningful activities in a long video sequence is a challenging problem due to ambiguous definition of 'meaningfulness' as well as clutters in the scene. We approach thi…