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2020 – today
- 2023
[i3]Kyeongryeol Go, Kye-Hyeon Kim:
Transferable Candidate Proposal with Bounded Uncertainty. CoRR abs/2312.04604 (2023)
2010 – 2019
- 2016
- [i2]Kye-Hyeon Kim, Yeongjae Cheon, Sanghoon Hong, Byung-Seok Roh, Minje Park:
PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection. CoRR abs/1608.08021 (2016) - [i1]Sanghoon Hong, Byung-Seok Roh, Kye-Hyeon Kim, Yeongjae Cheon, Minje Park:
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection. CoRR abs/1611.08588 (2016) - 2015
- [j2]Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi:
Regularized discriminant embedding for visual descriptor learning. Neurocomputing 149: 1048-1057 (2015) - [r2]Jong Kyoung Kim, Kye-Hyeon Kim, Seungjin Choi:
Supervised Learning. Encyclopedia of Biometrics 2015: 1498-1504 - 2014
- [j1]Kye-Hyeon Kim, Seungjin Choi:
Label propagation through minimax paths for scalable semi-supervised learning. Pattern Recognit. Lett. 45: 17-25 (2014) - [c6]Hien Duy Pham, Kye-Hyeon Kim, Seungjin Choi:
Semi-supervised Learning on Bi-relational Graph for Image Annotation. ICPR 2014: 2465-2470 - 2013
- [c5]Kye-Hyeon Kim, Seungjin Choi:
Walking on Minimax Paths for k-NN Search. AAAI 2013: 518-525 - [c4]Kye-Hyeon Kim, Cha Zhang, Zhengyou Zhang, Seungjin Choi:
Robust part-based face matching with multiple templates. FG 2013: 1-7 - [c3]Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi:
Regularized Discriminant Embedding for Visual Descriptor Learning. ICLR (Workshop Poster) 2013
2000 – 2009
- 2009
- [c2]Kye-Hyeon Kim, Seungjin Choi:
Incremental learning to rank with partially-labeled data. WSCD@WSDM 2009: 20-27 - [r1]Jong Kyoung Kim, Kye-Hyeon Kim, Seungjin Choi:
Supervised Learning. Encyclopedia of Biometrics 2009: 1298-1303 - 2007
- [c1]Kye-Hyeon Kim, Seungjin Choi:
Neighbor search with global geometry: a minimax message passing algorithm. ICML 2007: 401-408
Coauthor Index
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