3 citations · 3 across the 2 of their papers we have counts for
5 papers
IOD-CNN: Integrating Object Detection Networks for Event Recognition
Sungmin Eum, Hyungtae Lee, Heesung Kwon +1
Many previous methods have showed the importance of considering semantically relevant objects for performing event recognition, yet none of the methods have exploited the power of…
DTM: Deformable Template Matching
Hyungtae Lee, Heesung Kwon, Ryan M. Robinson +1
A novel template matching algorithm that can incorporate the concept of deformable parts, is presented in this paper. Unlike the deformable part model (DPM) employed in object reco…
Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search
Hyungtae Lee, Heesung Kwon, Archith J. Bency +1
Object localization is an important task in computer vision but requires a large amount of computational power due mainly to an exhaustive multiscale search on the input image. In…
Weakly Supervised Localization using Deep Feature Maps
Archith J. Bency, Heesung Kwon, Hyungtae Lee +2
Object localization is an important computer vision problem with a variety of applications. The lack of large scale object-level annotations and the relative abundance of image-lev…
Optimal Sparse Kernel Learning for Hyperspectral Anomaly Detection
Zhimin Peng, Prudhvi Gurram, Heesung Kwon +1
In this paper, a novel framework of sparse kernel learning for Support Vector Data Description (SVDD) based anomaly detection is presented. In this work, optimal sparse feature sel…