3 citations · 9 across the 13 of their papers we have counts for
4 papers · 1 filter
A Large-Scale Multimodal Dataset and Benchmarks for Human Activity Scene Understanding and Reasoning
Siyang Jiang, Mu Yuan, Xiang Ji +12
Multimodal human action recognition (HAR) leverages complementary sensors for activity classification. Beyond recognition, recent advances in large language models (LLMs) enable de…
An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding
Siyang Jiang, Bufang Yang, Lilin Xu +8
The rapid advancements in Large Vision Language Models (LVLMs) offer the potential to surpass conventional labeling by generating richer, more detailed descriptions of on-device hu…
MMLNB: Multi-Modal Learning for Neuroblastoma Subtyping Classification Assisted with Textual Description Generation
Huangwei Chen, Yifei Chen, Zhenyu Yan +4
Neuroblastoma (NB), a leading cause of childhood cancer mortality, exhibits significant histopathological variability, necessitating precise subtyping for accurate prognosis and tr…
VIAssist: Adapting Multi-modal Large Language Models for Users with Visual Impairments
Bufang Yang, Lixing He, Kaiwei Liu +1
Individuals with visual impairments, encompassing both partial and total difficulties in visual perception, are referred to as visually impaired (VI) people. An estimated 2.2 billi…