Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer. - Jaehyun Park 015; Jaegyun Im; Sanha Hwang; Mintaek Lim; Sabina Ualibekova; Sejin Kim 002; Sundong Kim (CoRR, 2023)

Attention-Driven Lane Change Trajectory Prediction With Traffic Context in Urban Environments. - Seokjun Hong; Jaegyun Im; Byeongjoon Noh (IEEE Access, 2025)

Federated learning-based road surveillance system in distributed CCTV environment: Pedestrian fall recognition using spatio-temporal attention networks. - Byeonghun Kim; Jaegyun Im; Byeongjoon Noh (Appl. Intell., 2025)

DRIFT open dataset: A drone-derived intelligence for traffic analysis in urban environment. - Hyejin Lee; Seokjun Hong; Jeonghoon Song; Haechan Cho; Zhixiong Jin; Byeonghun Kim; Joobin Jin; Jaegyun Im; Byeongjoon Noh; Hwasoo Yeo (CoRR, 2025)

AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification. - Geonwoo Cho; Jaemoon Lee; Jaegyun Im; Subi Lee; Jihwan Lee; Sundong Kim (CoRR, 2025)

TRACED: Transition-aware Regret Approximation with Co-learnability for Environment Design. - Geonwoo Cho; Jaegyun Im; Jihwan Lee; Hojun Yi; Sejin Kim; Sundong Kim (CoRR, 2025)

Causal-Paced Deep Reinforcement Learning. - Geonwoo Cho; Jaegyun Im; Doyoon Kim; Sundong Kim (CoRR, 2025)

Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision. - Jeonghoon Song; Sunghun Kim; Jaegyun Im; Byeongjoon Noh (CoRR, 2025)