activity
20162019
most citedArgoverse: 3D Tracking and Forecasting with Rich Maps

157 citations · 280 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2019★ 157 cited

Argoverse: 3D Tracking and Forecasting with Rich Maps

Ming-Fang Chang, John Lambert, Patsorn Sangkloy +8

We present Argoverse -- two datasets designed to support autonomous vehicle machine learning tasks such as 3D tracking and motion forecasting. Argoverse was collected by a fleet of…

cs.CV2018★ 2 cited

Domain Adaptation through Synthesis for Unsupervised Person Re-identification

Slawomir Bak, Peter Carr, Jean-Francois Lalonde

Drastic variations in illumination across surveillance cameras make the person re-identification problem extremely challenging. Current large scale re-identification datasets have…

cs.CV2018★ 51 cited

Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification

Shuang Li, Slawomir Bak, Peter Carr +1

Video-based person re-identification matches video clips of people across non-overlapping cameras. Most existing methods tackle this problem by encoding each video frame in its ent…

cs.LG2017★ 56 cited

Coordinated Multi-Agent Imitation Learning

Hoang M. Le, Yisong Yue, Peter Carr +1

We study the problem of imitation learning from demonstrations of multiple coordinating agents. One key challenge in this setting is that learning a good model of coordination can…

cs.LG2016★ 14 cited

Smooth Imitation Learning for Online Sequence Prediction

Hoang M. Le, Andrew Kang, Yisong Yue +1

We study the problem of smooth imitation learning for online sequence prediction, where the goal is to train a policy that can smoothly imitate demonstrated behavior in a dynamic a…