Kye-Hyeon Kim

According to our database, Kye-Hyeon Kim authored at least 12 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Transferable Candidate Proposal with Bounded Uncertainty.

Kyeongryeol Go, Kye-Hyeon Kim

CoRR, 2023

2016

PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection.

Kye-Hyeon Kim, Yeongjae Cheon, Sanghoon Hong, Byung-Seok Roh, Minje Park

CoRR, 2016

PVANet: Lightweight Deep Neural Networks for Real-time Object Detection.

Sanghoon Hong, Byung-Seok Roh, Kye-Hyeon Kim, Yeongjae Cheon, Minje Park

CoRR, 2016

2015

Supervised Learning.

Jong Kyoung Kim, Kye-Hyeon Kim, Seungjin Choi

Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

Regularized discriminant embedding for visual descriptor learning.

Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi

Neurocomputing, 2015

2014

Label propagation through minimax paths for scalable semi-supervised learning.

Kye-Hyeon Kim, Seungjin Choi

Pattern Recognit. Lett., 2014

Semi-supervised Learning on Bi-relational Graph for Image Annotation.

Hien Duy Pham, Kye-Hyeon Kim, Seungjin Choi

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Robust part-based face matching with multiple templates.

Kye-Hyeon Kim, Cha Zhang, Zhengyou Zhang, Seungjin Choi

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Walking on Minimax Paths for k-NN Search.

Kye-Hyeon Kim, Seungjin Choi

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2009

Supervised Learning.

Jong Kyoung Kim, Kye-Hyeon Kim, Seungjin Choi

Proceedings of the Encyclopedia of Biometrics, 2009

Incremental learning to rank with partially-labeled data.

Kye-Hyeon Kim, Seungjin Choi

Proceedings of the 2009 workshop on Web Search Click Data, 2009

2007

Neighbor search with global geometry: a minimax message passing algorithm.

Kye-Hyeon Kim, Seungjin Choi

Proceedings of the Machine Learning, 2007