This paper presents a comprehensive literature review on environment perception for
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …

Nowadays, robots are dominating the manufacturing, entertainment, and healthcare
industries. Robot vision aims to equip robots with the capabilities to discover information …

Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …

Image recognition has always been a hot research topic in the scientific community and
industry. The emergence of convolutional neural networks (CNN) has made this technology …

Due to the difficulty in generating the effective descriptors which are robust to occlusion and
viewpoint changes, place recognition for 3D point cloud remains an open issue. Unlike most …

The success of fine-grained visual categorization (FGVC) extremely relies on the modeling
of appearance and interactions of various semantic parts. This makes FGVC very …

Since scenes are composed in part of objects, accurate recognition of scenes requires
knowledge about both scenes and objects. In this paper we address two related problems …

Learning to manipulate 3D objects in an interactive environment has been a challenging
problem in Reinforcement Learning (RL). In particular, it is hard to train a policy that can …

The objective of this paper is the effective transfer of the Convolutional Neural Network
(CNN) feature in image search and classification. Systematically, we study three facts in …

We consider the problem of data augmentation, ie, generating artificial samples to extend a
given corpus of training data. Specifically, we propose attributed-guided augmentation …