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2020 – today
- 2024
[c16]Won Jo, Geuntaek Lim, Gwangjin Lee
, Hyunwoo Kim, Byungsoo Ko, Yukyung Choi:
VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression. AAAI 2024: 2679-2687- [c15]Young-Jun Lee, Byungsoo Ko, Han-Gyu Kim, Jonghwan Hyeon, Ho-Jin Choi:
DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset. NAACL-HLT 2024: 1938-1963 - [i16]Young-Jun Lee, Dokyong Lee, Junyoung Youn, Kyeongjin Oh, Byungsoo Ko, Jonghwan Hyeon, Ho-Jin Choi:
Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge. CoRR abs/2407.03958 (2024) - 2023
- [i15]Won Jo, Geuntaek Lim, Gwangjin Lee, Hyunwoo Kim, Byungsoo Ko, Yukyung Choi:
VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression. CoRR abs/2303.08906 (2023) - 2022
- [c14]Geonmo Gu, ByungSoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin:
Towards Light-Weight and Real-Time Line Segment Detection. AAAI 2022: 726-734 - [c13]Young Kyun Jang, Geonmo Gu, ByungSoo Ko, Isaac Kang, Nam Ik Cho:
Deep Hash Distillation for Image Retrieval. ECCV (14) 2022: 354-371 - [c12]Jon Almazán, ByungSoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis:
Granularity-Aware Adaptation for Image Retrieval Over Multiple Tasks. ECCV (14) 2022: 389-406 - [i14]ByungSoo Ko, Geonmo Gu:
Large-scale Bilingual Language-Image Contrastive Learning. CoRR abs/2203.14463 (2022) - [i13]Jon Almazán, ByungSoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis:
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks. CoRR abs/2210.02254 (2022) - [i12]Byungsoo Ko, Han-Gyu Kim, Byeongho Heo, Sangdoo Yun, Sanghyuk Chun, Geonmo Gu, Wonjae Kim:
Group Generalized Mean Pooling for Vision Transformer. CoRR abs/2212.04114 (2022) - [i11]Young-Jun Lee, Byungsoo Ko, Han-Gyu Kim, Ho-Jin Choi:
DialogCC: Large-Scale Multi-Modal Dialogue Dataset. CoRR abs/2212.04119 (2022) - 2021
- [c11]Geonmo Gu, ByungSoo Ko, Han-Gyu Kim:
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning. AAAI 2021: 1460-1468 - [c10]ByungSoo Ko, Geonmo Gu, Han-Gyu Kim:
Learning with Memory-based Virtual Classes for Deep Metric Learning. ICCV 2021: 11772-11781 - [i10]Geonmo Gu, ByungSoo Ko, Han-Gyu Kim:
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning. CoRR abs/2103.15454 (2021) - [i9]ByungSoo Ko, Geonmo Gu, Han-Gyu Kim:
Learning with Memory-based Virtual Classes for Deep Metric Learning. CoRR abs/2103.16940 (2021) - [i8]Minchul Shin, Yoonjae Cho, ByungSoo Ko, Geonmo Gu:
RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network. CoRR abs/2104.03015 (2021) - [i7]Geonmo Gu, ByungSoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin:
Towards Real-time and Light-weight Line Segment Detection. CoRR abs/2106.00186 (2021) - [i6]Young Kyun Jang, Geonmo Gu, ByungSoo Ko, Nam Ik Cho:
Self-Distilled Hashing for Deep Image Retrieval. CoRR abs/2112.08816 (2021) - 2020
- [c9]Geonmo Gu, ByungSoo Ko:
Symmetrical Synthesis for Deep Metric Learning. AAAI 2020: 10853-10860 - [c8]ByungSoo Ko, Geonmo Gu:
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning. CVPR 2020: 7253-7262 - [i5]Geonmo Gu, ByungSoo Ko:
Symmetrical Synthesis for Deep Metric Learning. CoRR abs/2001.11658 (2020) - [i4]ByungSoo Ko, Geonmo Gu:
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning. CoRR abs/2003.02546 (2020) - [i3]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 abs/2005.12739 (2020)
2010 – 2019
- 2019
- [j1]Zhun Li, ByungSoo Ko, Ho-Jin Choi:
Naive semi-supervised deep learning using pseudo-label. Peer-to-Peer Netw. Appl. 12(5): 1358-1368 (2019) - [i2]HeeJae Jun, ByungSoo Ko, Youngjoon Kim, Insik Kim, Jongtack Kim:
Combination of Multiple Global Descriptors for Image Retrieval. CoRR abs/1903.10663 (2019) - [i1]ByungSoo Ko, Minchul Shin, Geonmo Gu, HeeJae Jun, Tae Kwan Lee, Youngjoon Kim:
A Benchmark on Tricks for Large-scale Image Retrieval. CoRR abs/1907.11854 (2019) - 2018
- [c7]Zhun Li, ByungSoo Ko, Ho-Jin Choi:
Pseudo-Labeling Using Gaussian Process for Semi-Supervised Deep Learning. BigComp 2018: 263-269 - [c6]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: 662-665 - 2017
- [c5]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: 358-362 - [c4]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: 403-406 - [c3]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: 371-375 - [c2]Kyo-Joong Oh, Dongkun Lee, ByungSoo Ko, Jonghwan Hyeon, Ho-Jin Choi:
Empathy Bot: Conversational Service for Psychiatric Counseling with Chat Assistant. MedInfo 2017: 1235 - [c1]ByungSoo Ko, Han-Gyu Kim, Ho-Jin Choi:
Controlled dropout: A different dropout for improving training speed on deep neural network. SMC 2017: 972-977
Coauthor Index
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last updated on 2024-08-30 20:44 CEST by the dblp team
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