1 code implementation • 1 May 2024 • Olly Styles, Sam Miller, Patricio Cerda-Mardini, Tanaya Guha, Victor Sanchez, Bertie Vidgen
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).
1 code implementation • 24 Aug 2021 • Oluwafunmilola Kesa, Olly Styles, Victor Sanchez
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.
1 code implementation • 10 Aug 2021 • Olly Styles, Tanaya Guha, Victor Sanchez
We introduce the problem of multi-camera trajectory forecasting (MCTF), which involves predicting the trajectory of a moving object across a network of cameras.
1 code implementation • 1 May 2020 • Olly Styles, Tanaya Guha, Victor Sanchez, Alex Kot
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.
1 code implementation • 26 Sep 2019 • Olly Styles, Tanaya Guha, Victor Sanchez
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
1 code implementation • 9 May 2019 • Olly Styles, Arun Ross, Victor Sanchez
In this work, we present a deep learning approach for pedestrian trajectory forecasting using a single vehicle-mounted camera.