VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression - Won Jo; Geuntaek Lim; Gwangjin Lee; Hyunwoo Kim; Byungsoo Ko; Yukyung Choi (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge - Young-Jun Lee; Dokyong Lee; Junyoung Youn; Kyeongjin Oh; Byungsoo Ko; Jonghwan Hyeon; Ho-Jin Choi (Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, 2024)

DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset - Young-Jun Lee; Byungsoo Ko; Han-Gyu Kim; Jonghwan Hyeon; Ho-Jin Choi (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL 2024, Mexico City, Mexico, June 16-21, 2024, 2024)

Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge - Young-Jun Lee; Dokyong Lee; Junyoung Youn; Kyeongjin Oh; Byungsoo Ko; Jonghwan Hyeon; Ho-Jin Choi (CoRR, 2024)

Intriguing Properties of Large Language and Vision Models - Young-Jun Lee; Byungsoo Ko; Han-Gyu Kim; Yechan Hwang; Ho-Jin Choi (CoRR, 2024)

VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression - Won Jo; Geuntaek Lim; Gwangjin Lee; Hyunwoo Kim; Byungsoo Ko; Yukyung Choi (CoRR, 2023)

Towards Light-Weight and Real-Time Line Segment Detection - Geonmo Gu; ByungSoo Ko; SeoungHyun Go; Sung-Hyun Lee; Jingeun Lee; Minchul Shin (Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 2022)

Deep Hash Distillation for Image Retrieval - Young Kyun Jang; Geonmo Gu; ByungSoo Ko; Isaac Kang; Nam Ik Cho (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XIV, 2022)

Granularity-Aware Adaptation for Image Retrieval Over Multiple Tasks - Jon Almazán; ByungSoo Ko; Geonmo Gu; Diane Larlus; Yannis Kalantidis (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XIV, 2022)

Large-scale Bilingual Language-Image Contrastive Learning - ByungSoo Ko; Geonmo Gu (CoRR, 2022)

Granularity-aware Adaptation for Image Retrieval over Multiple Tasks - Jon Almazán; ByungSoo Ko; Geonmo Gu; Diane Larlus; Yannis Kalantidis (CoRR, 2022)

Group Generalized Mean Pooling for Vision Transformer - Byungsoo Ko; Han-Gyu Kim; Byeongho Heo; Sangdoo Yun; Sanghyuk Chun; Geonmo Gu; Wonjae Kim (CoRR, 2022)

DialogCC: Large-Scale Multi-Modal Dialogue Dataset - Young-Jun Lee; Byungsoo Ko; Han-Gyu Kim; Ho-Jin Choi (CoRR, 2022)

Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning - Geonmo Gu; ByungSoo Ko; Han-Gyu Kim (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

Learning with Memory-based Virtual Classes for Deep Metric Learning - ByungSoo Ko; Geonmo Gu; Han-Gyu Kim (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning - Geonmo Gu; ByungSoo Ko; Han-Gyu Kim (CoRR, 2021)

Learning with Memory-based Virtual Classes for Deep Metric Learning - ByungSoo Ko; Geonmo Gu; Han-Gyu Kim (CoRR, 2021)

RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network - Minchul Shin; Yoonjae Cho; ByungSoo Ko; Geonmo Gu (CoRR, 2021)

Towards Real-time and Light-weight Line Segment Detection - Geonmo Gu; ByungSoo Ko; SeoungHyun Go; Sung-Hyun Lee; Jingeun Lee; Minchul Shin (CoRR, 2021)

Self-Distilled Hashing for Deep Image Retrieval - Young Kyun Jang; Geonmo Gu; ByungSoo Ko; Nam Ik Cho (CoRR, 2021)

Symmetrical Synthesis for Deep Metric Learning - Geonmo Gu; ByungSoo Ko (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning - ByungSoo Ko; Geonmo Gu (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

Symmetrical Synthesis for Deep Metric Learning - Geonmo Gu; ByungSoo Ko (CoRR, 2020)

Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning - ByungSoo Ko; Geonmo Gu (CoRR, 2020)

An Effective Pipeline for a Real-world Clothes Retrieval System - Yang-Ho Ji; HeeJae Jun; Insik Kim; Jongtack Kim; Youngjoon Kim; ByungSoo Ko; Hyong-Keun Kook; Jingeun Lee; Sangwon Lee; Sanghyuk Park (CoRR, 2020)

Naive semi-supervised deep learning using pseudo-label - Zhun Li; ByungSoo Ko; Ho-Jin Choi (Peer-to-Peer Netw. Appl., 2019)

Combination of Multiple Global Descriptors for Image Retrieval - HeeJae Jun; ByungSoo Ko; Youngjoon Kim; Insik Kim; Jongtack Kim (CoRR, 2019)

A Benchmark on Tricks for Large-scale Image Retrieval - ByungSoo Ko; Minchul Shin; Geonmo Gu; HeeJae Jun; Tae Kwan Lee; Youngjoon Kim (CoRR, 2019)

Pseudo-Labeling Using Gaussian Process for Semi-Supervised Deep Learning - Zhun Li; ByungSoo Ko; Ho-Jin Choi (2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018, Shanghai, China, January 15-17, 2018, 2018)

Finding a News Article Related to Posts in Social Media: The Need to Consider Emotion as a Feature - ByungSoo Ko; Chan Yong Park; Dongkeon Lee; Jaewon Kim; Ho-Jin Choi; Dongsoo Han (2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018, Shanghai, China, January 15-17, 2018, 2018)

Controlled dropout: A different approach to using dropout on deep neural network - ByungSoo Ko; Han-Gyu Kim; Kyo-Joong Oh; Ho-Jin Choi (2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017, Jeju Island, South Korea, February 13-16, 2017, 2017)

Neural network-based autonomous navigation for a homecare mobile robot - ByungSoo Ko; Ho-Jin Choi; Chansol Hong; Jong-Hwan Kim; Oh Chul Kwon; Chang D. Yoo (2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017, Jeju Island, South Korea, February 13-16, 2017, 2017)

A Chatbot for Psychiatric Counseling in Mental Healthcare Service Based on Emotional Dialogue Analysis and Sentence Generation - Kyo-Joong Oh; Dongkun Lee; ByungSoo Ko; Ho-Jin Choi (18th IEEE International Conference on Mobile Data Management, MDM 2017, Daejeon, South Korea, May 29 - June 1, 2017, 2017)

Empathy Bot: Conversational Service for Psychiatric Counseling with Chat Assistant - Kyo-Joong Oh; Dongkun Lee; ByungSoo Ko; Jonghwan Hyeon; Ho-Jin Choi (MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics, Hangzhou, China, 21-25 August 2017, 2017)

Controlled dropout: A different dropout for improving training speed on deep neural network - ByungSoo Ko; Han-Gyu Kim; Ho-Jin Choi (2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017, 2017)