ByungSoo Ko

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 27

Top Topics

Margin Maximization

Ellipse Detection

Image Retrieval

Top Venues

Publications

Geonmo Gu, ByungSoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin
Towards Light-Weight and Real-Time Line Segment Detection. AAAI (2022)
Young Kyun Jang, Geonmo Gu, ByungSoo Ko, Isaac Kang, Nam Ik Cho
Deep Hash Distillation for Image Retrieval. ECCV (14) (2022)
Jon Almazán, ByungSoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis
Granularity-Aware Adaptation for Image Retrieval Over Multiple Tasks. ECCV (14) (2022)
Jon Almazán, ByungSoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks. CoRR (2022)
ByungSoo Ko, Geonmo Gu
Large-scale Bilingual Language-Image Contrastive Learning. CoRR (2022)
Geonmo Gu, ByungSoo Ko, Han-Gyu Kim
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning. AAAI (2021)
Minchul Shin, Yoonjae Cho, ByungSoo Ko, Geonmo Gu
RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network. CoRR (2021)
Geonmo Gu, ByungSoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin
Towards Real-time and Light-weight Line Segment Detection. CoRR (2021)
ByungSoo Ko, Geonmo Gu, Han-Gyu Kim
Learning with Memory-based Virtual Classes for Deep Metric Learning. CoRR (2021)
Geonmo Gu, ByungSoo Ko, Han-Gyu Kim
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning. CoRR (2021)
Young Kyun Jang, Geonmo Gu, ByungSoo Ko, Nam Ik Cho
Self-Distilled Hashing for Deep Image Retrieval. CoRR (2021)
ByungSoo Ko, Geonmo Gu, Han-Gyu Kim
Learning with Memory-based Virtual Classes for Deep Metric Learning. ICCV (2021)
ByungSoo Ko, Geonmo Gu
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning. CVPR (2020)
ByungSoo Ko, Geonmo Gu
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning. CoRR (2020)
Yang-Ho Ji, HeeJae Jun, Insik Kim, Jongtack Kim, Youngjoon Kim, ByungSoo Ko, Hyong-Keun Kook, Jingeun Lee, Sangwon Lee, Sanghyuk Park
An Effective Pipeline for a Real-world Clothes Retrieval System. CoRR (2020)
Geonmo Gu, ByungSoo Ko
Symmetrical Synthesis for Deep Metric Learning. AAAI (2020)
Geonmo Gu, ByungSoo Ko
Symmetrical Synthesis for Deep Metric Learning. CoRR (2020)
HeeJae Jun, ByungSoo Ko, Youngjoon Kim, Insik Kim, Jongtack Kim
Combination of Multiple Global Descriptors for Image Retrieval. CoRR (2019)
ByungSoo Ko, Minchul Shin, Geonmo Gu, HeeJae Jun, Tae Kwan Lee, Youngjoon Kim
A Benchmark on Tricks for Large-scale Image Retrieval. CoRR (2019)
Zhun Li, ByungSoo Ko, Ho-Jin Choi
Naive semi-supervised deep learning using pseudo-label. Peer-to-Peer Netw. Appl. 12 (5) (2019)
ByungSoo Ko, Chan Yong Park, Dongkeon Lee, Jaewon Kim, Ho-Jin Choi, Dongsoo Han
Finding a News Article Related to Posts in Social Media: The Need to Consider Emotion as a Feature. BigComp (2018)
Zhun Li, ByungSoo Ko, Ho-Jin Choi
Pseudo-Labeling Using Gaussian Process for Semi-Supervised Deep Learning. BigComp (2018)
ByungSoo Ko, Han-Gyu Kim, Kyo-Joong Oh, Ho-Jin Choi
Controlled dropout: A different approach to using dropout on deep neural network. BigComp (2017)
ByungSoo Ko, Han-Gyu Kim, Ho-Jin Choi
Controlled dropout: A different dropout for improving training speed on deep neural network. SMC (2017)
Kyo-Joong Oh, Dongkun Lee, ByungSoo Ko, Ho-Jin Choi
A Chatbot for Psychiatric Counseling in Mental Healthcare Service Based on Emotional Dialogue Analysis and Sentence Generation. MDM (2017)
ByungSoo Ko, Ho-Jin Choi, Chansol Hong, Jong-Hwan Kim, Oh Chul Kwon, Chang D. Yoo
Neural network-based autonomous navigation for a homecare mobile robot. BigComp (2017)
Kyo-Joong Oh, Dongkun Lee, ByungSoo Ko, Jonghwan Hyeon, Ho-Jin Choi
Empathy Bot: Conversational Service for Psychiatric Counseling with Chat Assistant. MedInfo (2017)