Author

Kyoung-Woon On

Observed names: Kyoung Woon On, Kyoung-woon On, On Kyoung Woon, On, Kyoung-Woon

Observed institutions: Seoul National University of Science and Technology, SRI International, Seoul National University, Nvidia (United States), Kakao Brain (South Korea), Kakao Corporation (South Korea), Hongik University

OpenAlex ID: A5083499937

Hadamard Product for Low-rank Bilinear Pooling

2016 · Kim, Jin-Hwa, On, Kyoung-Woon, et al. · arXiv (Cornell University) · 602

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Hypergraph Attention Networks for Multimodal Learning

2020 · Eun-Sol Kim, Woo Young Kang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 92

MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection

2022 · Bumsoo Kim, Jonghwan Mun, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 88

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Unified deep learning model for El Niño/Southern Oscillation forecasts by incorporating seasonality in climate data

2021 · Yoo-Geun Ham, Jeong-Hwan Kim, et al. · 中国科学通报：英文版 · 87

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DramaQA: Character-Centered Video Story Understanding with Hierarchical QA

2021 · Seongho Choi, Kyoung-Woon On, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 35

MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models

2023 · Dohwan Ko, Joonmyung Choi, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 33

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Video-Text Representation Learning via Differentiable Weak Temporal Alignment

2022 · Dohwan Ko, Joonmyung Choi, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 22

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Temporal Attention Mechanism with Conditional Inference for Large-Scale Multi-label Video Classification

2019 · Eun-Sol Kim, Kyoung-Woon On, et al. · Lecture notes in computer science · 18

DramaQA: Character-Centered Video Story Understanding with Hierarchical QA

2020 · Choi, Seongho, On, Kyoung-Woon, et al. · arXiv (Cornell University) · 10

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Binary Classifier Optimization for Large Language Model Alignment

2025 · Seungjae Jung, Gunsoo Han, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 7

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How Well Do Large Language Models Truly Ground?

2024 · Hyunji Lee, Se June Joo, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 6

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Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data

2020 · Kyoung-Woon On, Eun-Sol Kim, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 6

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DramaQA: Character-Centered Video Story Understanding with Hierarchical QA

2021 · Seongho Choi, Kyoung-Woon On, et al. · 정보과학회 컴퓨팅의 실제 논문지 · 5

Constructing Hierarchical Q&A Datasets for Video Story Understanding

2019 · Heo, Yu-Jung, On, Kyoung-Woon, et al. · arXiv (Cornell University) · 4

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TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback

2024 · Eunseop Yoon, Hee Suk Yoon, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 3

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