2 citations · 6 across the 6 of their papers we have counts for
4 papers · 1 filter
Mamba-Enhanced Text-Audio-Video Alignment Network for Emotion Recognition in Conversations
Xinran Li, Xiaomao Fan, Qingyang Wu +2
Emotion Recognition in Conversations (ERCs) is a vital area within multimodal interaction research, dedicated to accurately identifying and classifying the emotions expressed by sp…
Domain-invariant Representation Learning via Segment Anything Model for Blood Cell Classification
Yongcheng Li, Lingcong Cai, Ying Lu +8
Accurate classification of blood cells is of vital significance in the diagnosis of hematological disorders. However, in real-world scenarios, domain shifts caused by the variabili…
Towards Cross-Domain Single Blood Cell Image Classification via Large-Scale LoRA-based Segment Anything Model
Yongcheng Li, Lingcong Cai, Ying Lu +7
Accurate classification of blood cells plays a vital role in hematological analysis as it aids physicians in diagnosing various medical conditions. In this study, we present a nove…
Video-based Smoky Vehicle Detection with A Coarse-to-Fine Framework
Xiaojiang Peng, Xiaomao Fan, Qingyang Wu +2
Automatic smoky vehicle detection in videos is a superior solution to the traditional expensive remote sensing one with ultraviolet-infrared light devices for environmental protect…