We propose JFP, a Joint Future Prediction model that can learn to genera...
Indoor self-localization is a highly demanded system function for
smartp...
Adversarial example attack endangers the mobile edge systems such as veh...
Forecasting of a representation is important for safe and effective auto...
Run-time domain shifts from training-phase domains are common in sensing...
In order to plan a safe maneuver, self-driving vehicles need to understa...
In this paper, we propose a neural motion planner (NMP) for learning to ...
In this paper we propose a novel deep neural network that is able to joi...
In this paper, we tackle the problem of spatio-temporal tagging of
self-...
We address the problem of real-time 3D object detection from point cloud...
We study characteristics of receptive fields of units in deep convolutio...
In this paper we introduce the TorontoCity benchmark, which covers the f...
Encoder-decoder models have been widely used to solve sequence to sequen...
We tackle the problem of estimating optical flow from a monocular camera...