7 papers · 1 filter
MAC 2026: Advancing Micro-Action Analysis Towards Fine-Grained Understanding
Kun Li, Dan Guo, Jihao Gu +6
Micro-Actions (MAs) are subtle and spontaneous human behaviors that provide important non-verbal cues in social interaction and affective communication. However, their short durati…
Kaleido: Open-Sourced Multi-Subject Reference Video Generation Model
Zhenxing Zhang, Jiayan Teng, Zhuoyi Yang +6
We present Kaleido, a subject-to-video~(S2V) generation framework, which aims to synthesize subject-consistent videos conditioned on multiple reference images of target subjects. D…
VideoNorms: Benchmarking Cultural Awareness of Video Language Models
Nikhil Reddy Varimalla, Yunfei Xu, Arkadiy Saakyan +2
As Video Large Language Models (VideoLLMs) are deployed globally, it is important to assess their ability to reason across cultural contexts. To advance cultural norm awareness eva…
MMAD: Multi-label Micro-Action Detection in Videos
Kun Li, Pengyu Liu, Dan Guo +4
Human body actions are an important form of non-verbal communication in social interactions. This paper specifically focuses on a subset of body actions known as micro-actions, whi…
Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition
Kun Li, Dan Guo, Guoliang Chen +5
Micro-Action Recognition (MAR) has gained increasing attention due to its crucial role as a form of non-verbal communication in social interactions, with promising potential for ap…
Towards Pixel-Level Prediction for Gaze Following: Benchmark and Approach
Feiyang Liu, Dan Guo, Jingyuan Xu +4
Following the gaze of other people and analyzing the target they are looking at can help us understand what they are thinking, and doing, and predict the actions that may follow. E…