Publications (5)
Evaluating a VR System for Collecting Safety-Critical Vehicle-Pedestrian Interactions
Erica Weng, Kenta Mukoya, Deva Ramanan +1
Autonomous vehicles (AVs) require comprehensive and reliable pedestrian trajectory data to ensure safe operation. However, obtaining data of safety-critical scenarios such as jaywa…
JaywalkerVR: A VR System for Collecting Safety-Critical Pedestrian-Vehicle Interactions
Kenta Mukoya, Erica Weng, Rohan Choudhury +1
Developing autonomous vehicles that can safely interact with pedestrians requires large amounts of pedestrian and vehicle data in order to learn accurate pedestrian-vehicle interac…
Neural Relational Inference with Fast Modular Meta-learning
Ferran Alet, Erica Weng, Tomás Lozano Pérez +1
\textit{Graph neural networks} (GNNs) are effective models for many dynamical systems consisting of entities and relations. Although most GNN applications assume a single type of e…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
Joint Metrics Matter: A Better Standard for Trajectory Forecasting
Erica Weng, Hana Hoshino, Deva Ramanan +1
Multi-modal trajectory forecasting methods commonly evaluate using single-agent metrics (marginal metrics), such as minimum Average Displacement Error (ADE) and Final Displacement…