30 citations · 62 across the 11 of their papers we have counts for
4 papers · 1 filter
Tukey-Inspired Video Object Segmentation
Brent A. Griffin, Jason J. Corso
We investigate the problem of strictly unsupervised video object segmentation, i.e., the separation of a primary object from background in video without a user-provided object mask…
Learning Kinematic Descriptions using SPARE: Simulated and Physical ARticulated Extendable dataset
Abhishek Venkataraman, Brent Griffin, Jason J. Corso
Next generation robots will need to understand intricate and articulated objects as they cooperate in human environments. To do so, these robots will need to move beyond their curr…
A Critical Investigation of Deep Reinforcement Learning for Navigation
Vikas Dhiman, Shurjo Banerjee, Brent Griffin +2
The navigation problem is classically approached in two steps: an exploration step, where map-information about the environment is gathered; and an exploitation step, where this in…
Predicting Future Lane Changes of Other Highway Vehicles using RNN-based Deep Models
Sajan Patel, Brent Griffin, Kristofer Kusano +1
In the event of sensor failure, autonomous vehicles need to safely execute emergency maneuvers while avoiding other vehicles on the road. To accomplish this, the sensor-failed vehi…