Search Results for author:
Found 6 papers, 2 papers with code
ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors
ChimpACT is both comprehensive and challenging, consisting of 163 videos with a cumulative 160, 500 frames, each richly annotated with detection, identification, pose estimation, and fine-grained spatiotemporal behavior labels.
CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild
Non-intrusive, real-time analysis of the dynamics of the eye region allows us to monitor humans' visual attention allocation and estimate their mental state during the performance of real-world tasks, which can potentially benefit a wide range of human-computer interaction (HCI) applications.
Dynamics of Pedestrian Crossing Decisions Based on Vehicle Trajectories in Large-Scale Simulated and Real-World Data
Humans, as both pedestrians and drivers, generally skillfully navigate traffic intersections.
Value of Temporal Dynamics Information in Driving Scene Segmentation
What is not known is how much extra information the temporal dynamics of the visual scene carries that is complimentary to the information available in the individual frames of the video.
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation
We present a traffic simulation named DeepTraffic where the planning systems for a subset of the vehicles are handled by a neural network as part of a model-free, off-policy reinforcement learning process.
MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation
For the foreseeble future, human beings will likely remain an integral part of the driving task, monitoring the AI system as it performs anywhere from just over 0% to just under 100% of the driving.
