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cs.CV2026

Tempered Self-Similarity Alignment for Physically Plausible Video Generation

Manjin Kim, Suha Kwak, Minsu Cho

Despite remarkable advances in video generative models, they still struggle to generate physically realistic videos, frequently exhibiting appearance drift, implausible motion, and…

cs.CV2026

Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model

Dongwon Kim, Gawon Seo, Jinsung Lee +2

World models provide a powerful framework for simulating environment dynamics conditioned on actions or instructions, enabling downstream tasks such as action planning or policy le…

cs.CV2026

Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection

Dongkeun Kim, Minsu Cho, Suha Kwak

Social interactions often emerge from subtle, fine-grained cues such as facial expressions, gaze, and gestures. However, existing methods for social interaction detection overlook…

cs.CV2024

ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation

Dayoung Gong, Suha Kwak, Minsu Cho

Temporal action segmentation and long-term action anticipation are two popular vision tasks for the temporal analysis of actions in videos. Despite apparent relevance and potential…

cs.CV2024

Classification Matters: Improving Video Action Detection with Class-Specific Attention

Jinsung Lee, Taeoh Kim, Inwoong Lee +4

Video action detection (VAD) aims to detect actors and classify their actions in a video. We figure that VAD suffers more from classification rather than localization of actors. He…

cs.CV2024

Online Temporal Action Localization with Memory-Augmented Transformer

Youngkil Song, Dongkeun Kim, Minsu Cho +1

Online temporal action localization (On-TAL) is the task of identifying multiple action instances given a streaming video. Since existing methods take as input only a video segment…