Pixel-level labelling tasks, such as semantic segmentation, play a central role in image
understanding. Recent approaches have attempted to harness the capabilities of deep learning …

Remaining Useful Life (RUL) of a component or a system is defined as the length from the
current time to the end of the useful life. Accurate RUL estimation plays a critical role in …

Detecting visually salient regions in images is one of the fundamental problems in computer
vision. We propose a novel method to decompose an image into large scale perceptually …

Data mining technology can search for potentially valuable knowledge from a large amount
of data, mainly divided into data preparation and data mining, and expression and analysis …

Recent gait recognition systems often suffer from the challenges including viewing angle
variation and large intra-class variations. In order to address these challenges, this paper …

It is common but challenging to address high-resolution image blending in the automatic
photo editing application. In this paper, we would like to focus on solving the problem of high-…

Existing enhancement methods are empirically expected to help the high-level end computer
vision task: however, that is observed to not always be the case in practice. We focus on …

We address the problem of semantic segmentation using deep learning. Most segmentation
systems include a Conditional Random Field (CRF) to produce a structured output that is …

Image processing and pixel-wise dense prediction have been advanced by harnessing the
capabilities of deep learning. One central issue of deep learning is the limited capacity to …

We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and natural
language processing based on Apache MXNet (incubating). These toolkits provide state-…