18 citations · 21 across the 4 of their papers we have counts for
4 papers
Quantity over Quality: Training an AV Motion Planner with Large Scale Commodity Vision Data
Lukas Platinsky, Tayyab Naseer, Hui Chen +4
With the Autonomous Vehicle (AV) industry shifting towards machine-learned approaches for motion planning, the performance of self-driving systems is starting to rely heavily on la…
Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video
Luca Del Pero, Susanna Ricco, Rahul Sukthankar +1
We propose an automatic system for organizing the content of a collection of unstructured videos of an articulated object class (e.g. tiger, horse). By exploiting the recurring mot…
Recovering Spatiotemporal Correspondence between Deformable Objects by Exploiting Consistent Foreground Motion in Video
Luca Del Pero, Susanna Ricco, Rahul Sukthankar +1
Given unstructured videos of deformable objects, we automatically recover spatiotemporal correspondences to map one object to another (such as animals in the wild). While tradition…
Articulated motion discovery using pairs of trajectories
Luca Del Pero, Susanna Ricco, Rahul Sukthankar +1
We propose an unsupervised approach for discovering characteristic motion patterns in videos of highly articulated objects performing natural, unscripted behaviors, such as tigers…