68 citations · 201 across the 32 of their papers we have counts for
4 papers · 1 filter
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
Krishna Murthy Jatavallabhula, Edward Smith, Jean-Francois Lafleche +6
We present Kaolin, a PyTorch library aiming to accelerate 3D deep learning research. Kaolin provides efficient implementations of differentiable 3D modules for use in deep learning…
gradSLAM: Automagically differentiable SLAM
Krishna Murthy Jatavallabhula, Soroush Saryazdi, Ganesh Iyer +1
Blending representation learning approaches with simultaneous localization and mapping (SLAM) systems is an open question, because of their highly modular and complex nature. Funct…
INFER: INtermediate representations for FuturE pRediction
Shashank Srikanth, Junaid Ahmed Ansari, Karnik Ram R +3
In urban driving scenarios, forecasting future trajectories of surrounding vehicles is of paramount importance. While several approaches for the problem have been proposed, the bes…
Deep Active Localization
Sai Krishna, Keehong Seo, Dhaivat Bhatt +3
Active localization is the problem of generating robot actions that allow it to maximally disambiguate its pose within a reference map. Traditional approaches to this use an inform…