activity
20202025
most citedFacial Expression Recognition with Visual Transformers and Attentional Selective Fusion

324 citations · 452 across the 16 of their papers we have counts for

collaborators

17 papers

cs.CV2025

Multimodal Prompt Alignment for Facial Expression Recognition

Fuyan Ma, Yiran He, Bin Sun +1

Prompt learning has been widely adopted to efficiently adapt vision-language models (VLMs) like CLIP for various downstream tasks. Despite their success, current VLM-based facial e…

cs.MM2025

DiffCL: A Diffusion-Based Contrastive Learning Framework with Semantic Alignment for Multimodal Recommendations

Qiya Song, Jiajun Hu, Lin Xiao +3

Multimodal recommendation systems integrate diverse multimodal information into the feature representations of both items and users, thereby enabling a more comprehensive modeling…

cs.CV2024

DrVideo: Document Retrieval Based Long Video Understanding

Ziyu Ma, Chenhui Gou, Hengcan Shi +4

Most of the existing methods for video understanding primarily focus on videos only lasting tens of seconds, with limited exploration of techniques for handling long videos. The in…

cs.CV2024

GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question Answering

Ziyu Ma, Shutao Li, Bin Sun +3

Knowledge-based visual question answering (VQA) requires world knowledge beyond the image for accurate answer. Recently, instead of extra knowledge bases, a large language model (L…

cs.CV2023

LOGO-Former: Local-Global Spatio-Temporal Transformer for Dynamic Facial Expression Recognition

Fuyan Ma, Bin Sun, Shutao Li

Previous methods for dynamic facial expression recognition (DFER) in the wild are mainly based on Convolutional Neural Networks (CNNs), whose local operations ignore the long-range…

cs.CV2022★ 14 cited

Learning to Locate Visual Answer in Video Corpus Using Question

Bin Li, Yixuan Weng, Bin Sun +1

We introduce a new task, named video corpus visual answer localization (VCVAL), which aims to locate the visual answer in a large collection of untrimmed instructional videos using…