9 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.AI2024★ 4 cited
Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks
Yining Hua, Hongbin Na, Zehan Li +4
Large language models (LLMs) are emerging as promising tools for mental health care, offering scalable support through their ability to generate human-like responses. However, the…
cs.CV2024★ 9 cited
FE-Adapter: Adapting Image-based Emotion Classifiers to Videos
Shreyank N Gowda, Boyan Gao, David A. Clifton
Utilizing large pre-trained models for specific tasks has yielded impressive results. However, fully fine-tuning these increasingly large models is becoming prohibitively resource-…
cs.CV2024
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation
Shreyank N Gowda, David A. Clifton
The Segment Anything Model (SAM) has achieved remarkable successes in the realm of natural image segmentation, but its deployment in the medical imaging sphere has encountered chal…