activity
20202026
most citedViGT: Proposal-free Video Grounding with Learnable Token in Transformer

64 citations · 133 across the 18 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

cs.CV2023

Object-aware Adaptive-Positivity Learning for Audio-Visual Question Answering

Zhangbin Li, Dan Guo, Jinxing Zhou +2

This paper focuses on the Audio-Visual Question Answering (AVQA) task that aims to answer questions derived from untrimmed audible videos. To generate accurate answers, an AVQA mod…

cs.CV2023

Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding

Jiaxiu Li, Kun Li, Jia Li +3

Make-up temporal video grounding (MTVG) aims to localize the target video segment which is semantically related to a sentence describing a make-up activity, given a long video. Com…

cs.CV2023

Exploiting Diverse Feature for Multimodal Sentiment Analysis

Jia Li, Wei Qian, Kun Li +3

In this paper, we present our solution to the MuSe-Personalisation sub-challenge in the MuSe 2023 Multimodal Sentiment Analysis Challenge. The task of MuSe-Personalisation aims to…

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…