37 citations · 39 across the 10 of their papers we have counts for
11 papers
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…
A Comparative Study of LLM Prompting and Fine-Tuning for Cross-genre Authorship Attribution on Chinese Lyrics
Yuxin Li, Lorraine Xu, Meng Fan Wang
We propose a novel study on authorship attribution for Chinese lyrics, a domain where clean, public datasets are sorely lacking. Our contributions are twofold: (1) we create a new,…
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, Meng Fan Wang +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…
Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data
Bingjie Zhang, Hongkang Li, Changlong Shi +5
Multi-task learning (MTL) concurrently trains a model on diverse task datasets to exploit common features, thereby improving overall performance across the tasks. Recent studies ha…
Repetitive Action Counting with Hybrid Temporal Relation Modeling
Kun Li, Xinge Peng, Dan Guo +2
Repetitive Action Counting (RAC) aims to count the number of repetitive actions occurring in videos. In the real world, repetitive actions have great diversity and bring numerous c…
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…
Prototype Learning for Micro-gesture Classification
Guoliang Chen, Fei Wang, Kun Li +5
In this paper, we briefly introduce the solution developed by our team, HFUT-VUT, for the track of Micro-gesture Classification in the MiGA challenge at IJCAI 2024. The task of mic…
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…
Joint Spatial-Temporal Modeling and Contrastive Learning for Self-supervised Heart Rate Measurement
Wei Qian, Qi Li, Kun Li +4
This paper briefly introduces the solutions developed by our team, HFUT-VUT, for Track 1 of self-supervised heart rate measurement in the 3rd Vision-based Remote Physiological Sign…