most citedRepetitive Action Counting with Hybrid Temporal Relation Modeling

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2025

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,…

cs.LG2025

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…

cs.CV20241 cited

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…

cs.CV2024

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…

cs.CV2024

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…