37 citations · 57 across the 10 of their papers we have counts for
4 papers · 1 filter
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…