This paper summarizes model improvements and inference-time optimization...
The popular object detection metric 3D Average Precision (3D AP) relies ...
The speed-accuracy Pareto curve of object detection systems have advance...
Reconstructing 3D models from 2D images is one of the fundamental proble...
Recent deep learning methods for object detection rely on a large amount...
A caricature is an artistic form of a person's picture in which certain
...
Parts provide a good intermediate representation of objects that is robu...
Online video object segmentation is a challenging task as it entails to
...
Convolutional neural network-based approaches for semantic segmentation ...
We propose a method for semi-supervised semantic segmentation using the
...
We present a scene parsing method that utilizes global context informati...
We propose a deep learning-based framework for instance-level object
seg...