Eric Peh — accepted AI-conference papers

2025

IMoRe: Implicit Program-Guided Reasoning for Human Motion Q&A

Chen Li, Chinthani Sugandhika, Yeo Keat Ee, Eric Peh, Hao Zhang, Hong Yang +2

ICCV 2025poster

Existing human motion Q&A methods rely on explicit program execution, where the requirement for manually defined functional modules may limit the scalability and adaptability. To overcome this, we propose an implicit program-guided motion reasoning (IMoRe) framework that unifies reasoning across mul…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2024

CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes

Paritosh Parmar, Eric Peh, Ruirui Chen, Ting En Lam, Yuhan Chen, Elston Tan +1

NeurIPS 2024poster

Causal video question answering (QA) has garnered increasing interest, yet existing datasets often lack depth in causal reasoning. To address this gap, we capitalize on the unique properties of cartoons and construct CausalChaos!, a novel, challenging causal Why-QA dataset built upon the iconic "Tom…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗