93 citations · 119 across the 5 of their papers we have counts for
5 papers
Attention-based Ensemble for Deep Metric Learning
Wonsik Kim, Bhavya Goyal, Kunal Chawla +2
Deep metric learning aims to learn an embedding function, modeled as deep neural network. This embedding function usually puts semantically similar images close while dissimilar im…
Occlusion-Aware Video Deblurring with a New Layered Blur Model
Byeongjoo Ahn, Tae Hyun Kim, Wonsik Kim +1
We present a deblurring method for scenes with occluding objects using a carefully designed layered blur model. Layered blur model is frequently used in the motion deblurring probl…
MRF Optimization by Graph Approximation
Wonsik Kim, Kyoung Mu Lee
Graph cuts-based algorithms have achieved great success in energy minimization for many computer vision applications. These algorithms provide approximated solutions for multi-labe…
Genetic Representations for Evolutionary Minimization of Network Coding Resources
Minkyu Kim, Varun Aggarwal, Una-May O'Reilly +2
We demonstrate how a genetic algorithm solves the problem of minimizing the resources used for network coding, subject to a throughput constraint, in a multicast scenario. A geneti…
Evolutionary Approaches to Minimizing Network Coding Resources
Minkyu Kim, Muriel Medard, Varun Aggarwal +4
We wish to minimize the resources used for network coding while achieving the desired throughput in a multicast scenario. We employ evolutionary approaches, based on a genetic algo…