37 citations · 57 across the 10 of their papers we have counts for
10 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…
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…
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…
Multi-scale Information Sharing and Selection Network with Boundary Attention for Polyp Segmentation
Xiaolu Kang, Zhuoqi Ma, Kang Liu +2
Polyp segmentation for colonoscopy images is of vital importance in clinical practice. It can provide valuable information for colorectal cancer diagnosis and surgery. While existi…
EmoSpeaker: One-shot Fine-grained Emotion-Controlled Talking Face Generation
Guanwen Feng, Haoran Cheng, Yunan Li +5
Implementing fine-grained emotion control is crucial for emotion generation tasks because it enhances the expressive capability of the generative model, allowing it to accurately a…
Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition
Benjia Zhou, Yunan Li, Jun Wan
Human gesture recognition has drawn much attention in the area of computer vision. However, the performance of gesture recognition is always influenced by some gesture-irrelevant f…
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition
Jun Wan, Chi Lin, Longyin Wen +7
The ChaLearn large-scale gesture recognition challenge has been run twice in two workshops in conjunction with the International Conference on Pattern Recognition (ICPR) 2016 and I…