170 citations · 305 across the 42 of their papers we have counts for
12 papers · 1 filter
Temporal-Frequency State Space Duality: An Efficient Paradigm for Speech Emotion Recognition
Jiaqi Zhao, Fei Wang, Kun Li +4
Speech Emotion Recognition (SER) plays a critical role in enhancing user experience within human-computer interaction. However, existing methods are overwhelmed by temporal domain…
Patch-level Sounding Object Tracking for Audio-Visual Question Answering
Zhangbin Li, Jinxing Zhou, Jing Zhang +3
Answering questions related to audio-visual scenes, i.e., the AVQA task, is becoming increasingly popular. A critical challenge is accurately identifying and tracking sounding obje…
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…
ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning
Wenjin Hou, Dingjie Fu, Kun Li +3
Zero-shot learning (ZSL) aims to recognize unseen classes by transferring semantic knowledge from seen classes to unseen ones, guided by semantic information. To this end, existing…
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…
Micro-gesture Online Recognition using Learnable Query Points
Pengyu Liu, Fei Wang, Kun Li +5
In this paper, we briefly introduce the solution developed by our team, HFUT-VUT, for the Micro-gesture Online Recognition track in the MiGA challenge at IJCAI 2024. The Micro-gest…
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…
Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture
Fei Wang, Dan Guo, Kun Li +2
Video Motion Magnification (VMM) aims to reveal subtle and imperceptible motion information of objects in the macroscopic world. Prior methods directly model the motion field from…
Unified Static and Dynamic Network: Efficient Temporal Filtering for Video Grounding
Jingjing Hu, Dan Guo, Kun Li +4
Inspired by the activity-silent and persistent activity mechanisms in human visual perception biology, we design a Unified Static and Dynamic Network (UniSDNet), to learn the seman…
Benchmarking Micro-action Recognition: Dataset, Methods, and Applications
Dan Guo, Kun Li, Bin Hu +2
Micro-action is an imperceptible non-verbal behaviour characterised by low-intensity movement. It offers insights into the feelings and intentions of individuals and is important f…