activity
20202023
most citedViGT: Proposal-free Video Grounding with Learnable Token in Transformer

64 citations · 112 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2023★ 1 cited

Dual-path TokenLearner for Remote Photoplethysmography-based Physiological Measurement with Facial Videos

Wei Qian, Dan Guo, Kun Li +2

Remote photoplethysmography (rPPG) based physiological measurement is an emerging yet crucial vision task, whose challenge lies in exploring accurate rPPG prediction from facial vi…

cs.CV2023★ 64 cited

ViGT: Proposal-free Video Grounding with Learnable Token in Transformer

Kun Li, Dan Guo, Meng Wang

The video grounding (VG) task aims to locate the queried action or event in an untrimmed video based on rich linguistic descriptions. Existing proposal-free methods are trapped in…

cs.CV2023★ 21 cited

Data Augmentation for Human Behavior Analysis in Multi-Person Conversations

Kun Li, Dan Guo, Guoliang Chen +2

In this paper, we present the solution of our team HFUT-VUT for the MultiMediate Grand Challenge 2023 at ACM Multimedia 2023. The solution covers three sub-challenges: bodily behav…

cs.CV2023

Joint Skeletal and Semantic Embedding Loss for Micro-gesture Classification

Kun Li, Dan Guo, Guoliang Chen +2

In this paper, we briefly introduce the solution of our team HFUT-VUT for the Micros-gesture Classification in the MiGA challenge at IJCAI 2023. The micro-gesture classification ta…

cs.CV2023★ 7 cited

Improving Audio-Visual Video Parsing with Pseudo Visual Labels

Jinxing Zhou, Dan Guo, Yiran Zhong +1

Audio-Visual Video Parsing is a task to predict the events that occur in video segments for each modality. It often performs in a weakly supervised manner, where only video event l…

cs.CV2023★ 12 cited

Audio-Visual Segmentation with Semantics

Jinxing Zhou, Xuyang Shen, Jianyuan Wang +8

We propose a new problem called audio-visual segmentation (AVS), in which the goal is to output a pixel-level map of the object(s) that produce sound at the time of the image frame…