Kye-Hyeon Kim

13 papers A* 2B 2Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
Transferable Candidate Proposal with Bounded Uncertainty.
CoRR
Kyeongryeol Go, Kye-Hyeon Kim
2016 J jnl
PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection.
CoRR
Kye-Hyeon Kim, Yeongjae Cheon, Sanghoon Hong, Byung-Seok Roh, Minje Park
2016 J jnl
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection.
CoRR
Sanghoon Hong, Byung-Seok Roh, Kye-Hyeon Kim, Yeongjae Cheon, Minje Park
2015 J jnl
Regularized discriminant embedding for visual descriptor learning.
Neurocomputing
Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi
2015 — ch.
Supervised Learning.
Encyclopedia of Biometrics
Jong Kyoung Kim, Kye-Hyeon Kim, Seungjin Choi
2014 J jnl
Label propagation through minimax paths for scalable semi-supervised learning.
Pattern Recognit. Lett.
Kye-Hyeon Kim, Seungjin Choi
2014 B conf
Semi-supervised Learning on Bi-relational Graph for Image Annotation.
ICPR
Hien Duy Pham, Kye-Hyeon Kim, Seungjin Choi
2013 — conf
Regularized Discriminant Embedding for Visual Descriptor Learning
ICLR (Workshop Poster)
Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi
2013 B conf
Robust part-based face matching with multiple templates.
FG
Kye-Hyeon Kim, Cha Zhang, Zhengyou Zhang, Seungjin Choi
2013 A* conf
Walking on Minimax Paths for k-NN Search.
AAAI
Kye-Hyeon Kim, Seungjin Choi
2009 — conf
Incremental learning to rank with partially-labeled data.
WSCD@WSDM
Kye-Hyeon Kim, Seungjin Choi
2009 — ch.
Supervised Learning.
Encyclopedia of Biometrics
Jong Kyoung Kim, Kye-Hyeon Kim, Seungjin Choi
2007 A* conf
Neighbor search with global geometry: a minimax message passing algorithm.
ICML
Kye-Hyeon Kim, Seungjin Choi