Detecting actions in untrimmed videos should not be limited to a small,
...
Instance segmentation models today are very accurate when trained on lar...
We propose DOPS, a fast single-stage 3D object detection method for LIDA...
Traditionally multi-object tracking and object detection are performed u...
In static monitoring cameras, useful contextual information can stretch ...
We'd like to share a simple tweak of Single Shot Multibox Detector (SSD)...
We propose a new method for semantic instance segmentation, by first
com...
Learning the representation and the similarity metric in an end-to-end
f...
The goal of this paper is to serve as a guide for selecting a detection
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We consider the problem of Bayesian parameter estimation for deep neural...
We present a novel method for aligning a sequence of instructions to a v...