5 citations · 5 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Generic Event Boundary Detection via Denoising Diffusion
Jaejun Hwang, Dayoung Gong, Manjin Kim +1
Generic event boundary detection (GEBD) aims to identify natural boundaries in a video, segmenting it into distinct and meaningful chunks. Despite the inherent subjectivity of even…
Future Transformer for Long-term Action Anticipation
Dayoung Gong, Joonseok Lee, Manjin Kim +2
The task of predicting future actions from a video is crucial for a real-world agent interacting with others. When anticipating actions in the distant future, we humans typically c…
MotionSqueeze: Neural Motion Feature Learning for Video Understanding
Heeseung Kwon, Manjin Kim, Suha Kwak +1
Motion plays a crucial role in understanding videos and most state-of-the-art neural models for video classification incorporate motion information typically using optical flows ex…