Video captioning refers to automatic generate natural language sentences, which
summarize the video contents. Inspired by the visual attention mechanism of human beings …

The superiority of deeply learned pedestrian representations has been reported in very
recent literature of person re-identification (re-ID). In this article, we consider the more …

Hyperspectral image (HSI) sharpening, which aims at fusing an observable low spatial
resolution (LR) HSI (LR-HSI) with a high spatial resolution (HR) multispectral image (HR …

Robust and accurate visual tracking is a challenging problem in computer vision. In this
paper, we exploit spatial and semantic convolutional features extracted from convolutional …

Image content analysis is an important surround perception modality of intelligent vehicles.
In order to efficiently recognize the on-road environment based on image content analysis …

This paper proposes a deep hashing framework, namely, unsupervised deep video hashing
(UDVH), for large-scale video similarity search with the aim to learn compact yet effective …

Image segmentation plays an important role in the computer vision. However, it is extremely
challenging due to low resolution, high noise and blurry boundaries. Recently, region-based …

Single image haze removal is an extremely challenging problem due to its inherent ill-posed
nature. Several prior-based and learning-based methods have been proposed in the …

In this paper, we propose a novel approach for efficient training of deep neural networks in a
bottom-up fashion using a layered structure. Our algorithm, which we refer to as deep …

Feature extraction and similarity measurement are two key steps in image retrieval. AlexNet
is a classical deep convolutional neural network for image classification, but using it directly …