230 citations · 376 across the 34 of their papers we have counts for
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stat.ML2017★ 1 cited
Hashing as Tie-Aware Learning to Rank
Kun He, Fatih Cakir, Sarah Adel Bargal +1
Hashing, or learning binary embeddings of data, is frequently used in nearest neighbor retrieval. In this paper, we develop learning to rank formulations for hashing, aimed at dire…
cs.CV2017
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)
Danna Gurari, Kun He, Bo Xiong +6
We propose the ambiguity problem for the foreground object segmentation task and motivate the importance of estimating and accounting for this ambiguity when designing vision syste…
cs.CV2017★ 7 cited
MIHash: Online Hashing with Mutual Information
Fatih Cakir, Kun He, Sarah Adel Bargal +1
Learning-based hashing methods are widely used for nearest neighbor retrieval, and recently, online hashing methods have demonstrated good performance-complexity trade-offs by lear…