-
Environment Predictive Coding for Embodied Agents
We introduce environment predictive coding, a self-supervised approach t...
02/03/2021 ∙ by Santhosh K. Ramakrishnan, et al. ∙
1
∙
share
read it
-
Occupancy Anticipation for Efficient Exploration and Navigation
State-of-the-art navigation methods leverage a spatial memory to general...
08/21/2020 ∙ by Santhosh K. Ramakrishnan, et al. ∙
1
∙
share
read it
-
An Exploration of Embodied Visual Exploration
Embodied computer vision considers perception for robots in general, uns...
01/07/2020 ∙ by Santhosh K. Ramakrishnan, et al. ∙
14
∙
share
read it
-
Emergence of Exploratory Look-Around Behaviors through Active Observation Completion
Standard computer vision systems assume access to intelligently captured...
06/27/2019 ∙ by Santhosh K. Ramakrishnan, et al. ∙
1
∙
share
read it
-
Sidekick Policy Learning for Active Visual Exploration
We consider an active visual exploration scenario, where an agent must i...
07/29/2018 ∙ by Santhosh K. Ramakrishnan, et al. ∙
6
∙
share
read it
-
CoMaL Tracking: Tracking Points at the Object Boundaries
Traditional point tracking algorithms such as the KLT use local 2D infor...
06/07/2017 ∙ by Santhosh K. Ramakrishnan, et al. ∙
0
∙
share
read it
-
An Empirical Evaluation of Visual Question Answering for Novel Objects
We study the problem of answering questions about images in the harder s...
04/08/2017 ∙ by Santhosh K. Ramakrishnan, et al. ∙
0
∙
share
read it
