most citedAgent AI: Surveying the Horizons of Multimodal Interaction

48 citations · 60 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024

Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection

Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao +3

Current deep learning-based models typically analyze medical images in either 2D or 3D albeit disregarding volumetric information or suffering sub-optimal performance due to the an…

cs.AI20249 cited

Position Paper: Agent AI Towards a Holistic Intelligence

Qiuyuan Huang, Naoki Wake, Bidipta Sarkar +13

Recent advancements in large foundation models have remarkably enhanced our understanding of sensory information in open-world environments. In leveraging the power of foundation m…

cs.AI202448 cited

Agent AI: Surveying the Horizons of Multimodal Interaction

Zane Durante, Qiuyuan Huang, Naoki Wake +11

Multi-modal AI systems will likely become a ubiquitous presence in our everyday lives. A promising approach to making these systems more interactive is to embody them as agents wit…

cs.AI20232 cited

MindAgent: Emergent Gaming Interaction

Ran Gong, Qiuyuan Huang, Xiaojian Ma +8

Large Language Models (LLMs) have the capacity of performing complex scheduling in a multi-agent system and can coordinate these agents into completing sophisticated tasks that req…

cs.CV20231 cited

Semi-Supervised Relational Contrastive Learning

Attiano Purpura-Pontoniere, Demetri Terzopoulos, Adam Wang +1

Disease diagnosis from medical images via supervised learning is usually dependent on tedious, error-prone, and costly image labeling by medical experts. Alternatively, semi-superv…