6 papers
PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation
Kang Liu, Zhuoqi Ma, Zikang Fang +3
Chest X-ray report generation aims to reduce radiologists' workload by automatically producing high-quality preliminary reports. A critical yet underexplored aspect of this task is…
FaceEditTalker: Controllable Talking Head Generation with Facial Attribute Editing
Guanwen Feng, Zhiyuan Ma, Yunan Li +3
Recent advances in audio-driven talking head generation have achieved impressive results in lip synchronization and emotional expression. However, they largely overlook the crucial…
Generative Sign-description Prompts with Multi-positive Contrastive Learning for Sign Language Recognition
Siyu Liang, Yunan Li, Wentian Xin +4
Sign language recognition (SLR) faces fundamental challenges in creating accurate annotations due to the inherent complexity of simultaneous manual and non-manual signals. To the b…
EVOKE: Elevating Chest X-ray Report Generation via Multi-View Contrastive Learning and Patient-Specific Knowledge
Qiguang Miao, Kang Liu, Zhuoqi Ma +6
Radiology reports are crucial for planning treatment strategies and facilitating effective doctor-patient communication. However, the manual creation of these reports places a sign…
LES-Talker: Fine-Grained Emotion Editing for Talking Head Generation in Linear Emotion Space
Guanwen Feng, Zhihao Qian, Yunan Li +3
While existing one-shot talking head generation models have achieved progress in coarse-grained emotion editing, there is still a lack of fine-grained emotion editing models with h…
Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation
Kang Liu, Zhuoqi Ma, Xiaolu Kang +4
Automated radiology report generation offers an effective solution to alleviate radiologists' workload. However, most existing methods focus primarily on single or fixed-view image…