5 papers
Teaching Robots to Interpret Social Interactions through Lexically-guided Dynamic Graph Learning
Tongfei Bian, Mathieu Chollet, Tanaya Guha
For a robot to be called socially intelligent, it must be able to infer users internal states from their current behaviour, predict the users future behaviour, and if required, res…
ContactRL: Safe Reinforcement Learning based Motion Planning for Contact based Human Robot Collaboration
Sundas Rafat Mulkana, Ronyu Yu, Tanaya Guha +1
In collaborative human-robot tasks, safety requires not only avoiding collisions but also ensuring safe, intentional physical contact. We present ContactRL, a reinforcement learnin…
Robust Understanding of Human-Robot Social Interactions through Multimodal Distillation
Tongfei Bian, Mathieu Chollet, Tanaya Guha
There is a growing need for social robots and intelligent agents that can effectively interact with and support users. For the interactions to be seamless, the agents need to analy…
Analyzing Character Representation in Media Content using Multimodal Foundation Model: Effectiveness and Trust
Evdoxia Taka, Debadyuti Bhattacharya, Joanne Garde-Hansen +2
Recent advances in AI has made automated analysis of complex media content at scale possible while generating actionable insights regarding character representation along such dime…
ZIP: Scalable Crowd Counting via Zero-Inflated Poisson Modeling
Yiming Ma, Victor Sanchez, Tanaya Guha
Most crowd counting methods directly regress blockwise density maps using Mean Squared Error (MSE) losses. This practice has two key limitations: (1) it fails to account for the ex…