84 citations · 304 across the 36 of their papers we have counts for
5 papers · 1 filter
Multi-Task Learning Framework for Emotion Recognition in-the-wild
Tenggan Zhang, Chuanhe Liu, Xiaolong Liu +7
This paper presents our system for the Multi-Task Learning (MTL) Challenge in the 4th Affective Behavior Analysis in-the-wild (ABAW) competition. We explore the research problems o…
Unifying Event Detection and Captioning as Sequence Generation via Pre-Training
Qi Zhang, Yuqing Song, Qin Jin
Dense video captioning aims to generate corresponding text descriptions for a series of events in the untrimmed video, which can be divided into two sub-tasks, event detection and…
Progressive Learning for Image Retrieval with Hybrid-Modality Queries
Yida Zhao, Yuqing Song, Qin Jin
Image retrieval with hybrid-modality queries, also known as composing text and image for image retrieval (CTI-IR), is a retrieval task where the search intention is expressed in a…
Multi-modal Emotion Estimation for in-the-wild Videos
Liyu Meng, Yuchen Liu, Xiaolong Liu +5
In this paper, we briefly introduce our submission to the Valence-Arousal Estimation Challenge of the 3rd Affective Behavior Analysis in-the-wild (ABAW) competition. Our method uti…
Image Difference Captioning with Pre-training and Contrastive Learning
Linli Yao, Weiying Wang, Qin Jin
The Image Difference Captioning (IDC) task aims to describe the visual differences between two similar images with natural language. The major challenges of this task lie in two as…