activity
20242026
most citedTowards Social AI: A Survey on Understanding Social Interactions

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

LeRF: Learning Reference Coordinate Frames for Perspective Taking Reasoning

Bang Xiao, Wenqi Jia, Ozgur Kara +5

Perspective taking is a fundamental component of spatial intelligence, requiring models interpret spatial relations from a specified viewpoint, such as that of another entity or an…

cs.CV2026

IAM: Identity-Aware Human Motion and Shape Joint Generation

Wenqi Jia, Zekun Li, Abhay Mittal +6

Recent advances in text-driven human motion generation enable models to synthesize realistic motion sequences from natural language descriptions. However, most existing approaches…

cs.CV2026

EgoForge: Goal-Directed Egocentric World Simulator

Yifan Shen, Jiateng Liu, Xinzhuo Li +9

Generative world models have shown promise for simulating dynamic environments, yet egocentric video remains challenging due to rapid viewpoint changes, frequent hand-object intera…

cs.CV2025

SocialGesture: Delving into Multi-person Gesture Understanding

Xu Cao, Pranav Virupaksha, Wenqi Jia +4

Previous research in human gesture recognition has largely overlooked multi-person interactions, which are crucial for understanding the social context of naturally occurring gestu…

cs.CV2025

Learning Predictive Visuomotor Coordination

Wenqi Jia, Bolin Lai, Miao Liu +2

Understanding and predicting human visuomotor coordination is crucial for applications in robotics, human-computer interaction, and assistive technologies. This work introduces a f…

cs.HC2024★ 1 cited

Towards Social AI: A Survey on Understanding Social Interactions

Sangmin Lee, Minzhi Li, Bolin Lai +8

Social interactions form the foundation of human societies. Artificial intelligence has made significant progress in certain areas, but enabling machines to seamlessly understand s…

cs.CV2024

Leveraging Object Priors for Point Tracking

Bikram Boote, Anh Thai, Wenqi Jia +4

Point tracking is a fundamental problem in computer vision with numerous applications in AR and robotics. A common failure mode in long-term point tracking occurs when the predicte…