Search Results for author:
Found 6 papers, 6 papers with code
WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting
We evaluate five existing ReAct agents on WorkBench, finding they successfully complete as few as 3% of tasks (Llama2-70B), and just 43% for the best-performing (GPT-4).
Joint Learning Architecture for Multiple Object Tracking and Trajectory Forecasting
We propose to jointly train a tracking and trajectory forecasting model and use the predicted trajectory forecasts for short-term motion estimates in lieu of linear motion prediction methods such as the Kalman filter.
Multi-Camera Trajectory Forecasting with Trajectory Tensors
We introduce the problem of multi-camera trajectory forecasting (MCTF), which involves predicting the trajectory of a moving object across a network of cameras.
Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of Cameras
To facilitate research in this new area, we release the Warwick-NTU Multi-camera Forecasting Database (WNMF), a unique dataset of multi-camera pedestrian trajectories from a network of 15 synchronized cameras.
Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments
In contrast to existing works on object trajectory forecasting which primarily consider the problem from a birds-eye perspective, we formulate the problem from an object-level perspective and call for the prediction of full object bounding boxes, rather than trajectories alone.
Ranked #1 on
Multiple Object Forecasting
on Citywalks
Forecasting Pedestrian Trajectory with Machine-Annotated Training Data
In this work, we present a deep learning approach for pedestrian trajectory forecasting using a single vehicle-mounted camera.
