5 citations · 12 across the 9 of their papers we have counts for
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cs.LG2018
Hashing with Binary Matrix Pursuit
Fatih Cakir, Kun He, Stan Sclaroff
We propose theoretical and empirical improvements for two-stage hashing methods. We first provide a theoretical analysis on the quality of the binary codes and show that, under mil…
cs.CV2018
Local Descriptors Optimized for Average Precision
Kun He, Yan Lu, Stan Sclaroff
Extraction of local feature descriptors is a vital stage in the solution pipelines for numerous computer vision tasks. Learning-based approaches improve performance in certain task…
cs.CV2018
Multilevel Language and Vision Integration for Text-to-Clip Retrieval
Huijuan Xu, Kun He, Bryan A. Plummer +3
We address the problem of text-based activity retrieval in video. Given a sentence describing an activity, our task is to retrieve matching clips from an untrimmed video. To captur…