HK
Heeseung Kwon
cs.CVcs.AIcs.ROcs.LGFlow structuresIndoor air qualityIndoor environmentNatural ventilationParticle image velocimetryParticulate matters
On Valency
published · living versionsW_wjv75535·v2 · currentpublished
Adapting Video Models for Robot Control via Motion-guided Asymmetric Prediction
with Taeyoung Kim, Junyoung Sung, Minseop Kim, Jinwoo Shin
2 versions
Preprints & journals
10 papers in the corpus · 2020–2026RLDX-1 Technical Report2605.03269v2 · Dongyoung Kim, Huiwon Jang, Myungkyu Koo et al.2026 · 0 citationsarXiv
Exploring High-Order Self-Similarity for Video Understanding2604.20760v1 · Manjin Kim, Heeseung Kwon, Karteek Alahari et al.2026 · 0 citationsarXiv
ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context2510.04246v1 · Huiwon Jang, Sihyun Yu, Heeseung Kwon et al.2025 · 0 citationsarXiv
Lightweight Structure-Aware Attention for Visual Understanding2211.16289v2 · Heeseung Kwon, Francisco M. Castro, Manuel J. Marin-Jimenez et al.2022 · 2 citationsarXiv
Effect of flow structures on natural ventilation performance in office model.36186949 · Yoon, Gun Young, Lee, Sang Joon, Kwon, Heeseung et al.2023 · 5 citationsJournal of visualization. 2023;26(2):289-298
Relational Self-Attention: What's Missing in Attention for Video Understanding2111.01673v1 · Manjin Kim, Heeseung Kwon, Chunyu Wang et al.2021 · 28 citationsarXiv
Relational Embedding for Few-Shot Classification2108.09666v1 · Dahyun Kang, Heeseung Kwon, Juhong Min et al.2021 · 292 citationsarXiv
Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition2102.07092v3 · Heeseung Kwon, Manjin Kim, Suha Kwak et al.2021 · 44 citationsarXiv
MotionSqueeze: Neural Motion Feature Learning for Video Understanding2007.09933v1 · Heeseung Kwon, Manjin Kim, Suha Kwak et al.2020 · 145 citationsarXiv
IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos2007.06317v2 · Gyeongsik Moon, Heeseung Kwon, Kyoung Mu Lee et al.2020 · 37 citationsarXiv
Career total: 17 works. 10 are in this corpus.
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