activity
20162023
most citedGenerative AI for Product Design: Getting the Right Design and the Design Right

12 citations · 18 across the 3 of their papers we have counts for

collaborators

5 papers

cs.HC2023★ 12 cited

Generative AI for Product Design: Getting the Right Design and the Design Right

Matthew K. Hong, Shabnam Hakimi, Yan-Ying Chen +3

Generative AI (GenAI) models excel in their ability to recognize patterns in existing data and generate new and unexpected content. Recent advances have motivated applications of G…

cs.LG2021★ 5 cited

Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression

Nikos Arechiga, Francine Chen, Yan-Ying Chen +4

We consider the problem of learning free-form symbolic expressions from raw data, such as that produced by an experiment in any scientific domain. Accurate and interpretable models…

cs.CV2021

PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions

Taotao Jing, Tina Chen, Renran Tian +5

Accurately modeling pedestrian intention and understanding driver decision-making processes are critical for the development of safe and socially aware autonomous driving systems.…

cs.HC2019

Dynamics of Pedestrian Crossing Decisions Based on Vehicle Trajectories in Large-Scale Simulated and Real-World Data

Jack Terwilliger, Michael Glazer, Henri Schmidt +5

Humans, as both pedestrians and drivers, generally skillfully navigate traffic intersections. Despite the uncertainty, danger, and the non-verbal nature of communication commonly f…

cs.CV2016★ 1 cited

What Can Be Predicted from Six Seconds of Driver Glances?

Lex Fridman, Heishiro Toyoda, Sean Seaman +5

We consider a large dataset of real-world, on-road driving from a 100-car naturalistic study to explore the predictive power of driver glances and, specifically, to answer the foll…