Intent

Facing the current debate on whether Large Language Models (LLMs) attain near-human intelligence levels (Mitchell & Krakauer, 2023; …

Recent advances in vision-language learning have achieved notable success on complete-information question-answering datasets through …

In addition to a physical comprehension of the world, humans possess a high social intelligence–the intelligence that senses …

[Vision meets Cognition] Topics include affordance, container, functionality, hoi, intent, scene parsing, scene reconstruction, and …

A prerequisite for social coordination is bidirectional communication between teammates, each playing two roles simultaneously: as …

Although pointing is sparse, overloaded, and indirect, it allows humans to effectively decode shared information, (ex)change their …

The simple gesture of pointing can greatly augment one’s ability to comprehend states of the world based on observations. It …

Humans possess a unique social cognition capability; nonverbal communication can convey rich social information among agents. In …

Predicting agents’ future trajectories plays a crucial role in modern AI systems, yet it is challenging due to intricate …

Recent progress in deep learning is essentially based on a “big data for small tasks” paradigm, under which massive amounts …