Jieyu's research analyzes the potential stereotypes in various ML models and develops computational approaches to enhance fairness in a wide range of NLP applications.

I will share research that demonstrates how we can use computational approaches and interventions to reduce political polarization and improve the health of conversations online.

In this talk I will discuss recent progress towards using human input to enable safe and robust autonomous systems.

Translating AI to Impact: Uncertainty and Human-agent Interactions in Multi-agent Systems for Public Health and Conservation - see abstract below.

In my research, I utilize graphics and physics-based rendering to explore this complex design space and create imaging systems that optimally sense multiply-scattered light.

In this talk, I will introduce two recent projects on cross-modal learning for video understanding.

In this talk, Vivek will present end-to-end computational vision systems that execute "computation" at all stages of a physical vision system, from optics to sensors to algorithms.

I will introduce a series of our works in audio-visual scene understanding for building machines with unified, explainable, and robust multisensory perception capability.

In this talk, Soumyadip will discuss his ongoing research on creating next-gen video communication and content creation framework by democratizing high-quality video production and

In this talk, I will discuss People Analysis in Context (PAC) problems: reasoning and understanding humans in complex environments from visual data.