Object detection or localization is an incremental step in progression from coarse to fine
digital image inference. It not only provides the classes of the image objects, but also …

Generative adversarial networks (GANs) have recently become a hot research topic;
however, they have been studied since 2014, and a large number of algorithms have been …

The heavy reliance on data is one of the major reasons that currently limit the development
of deep learning. Data quality directly dominates the effect of deep learning models, and the …

Estimating human pose and shape from monocular images is a long-standing problem in
computer vision. Since the release of statistical body models, 3D human mesh recovery has …

The use of RGB-D information for salient object detection (SOD) has been extensively
explored in recent years. However, relatively few efforts have been put toward modeling …

Micro-expression (ME) is a significant non-verbal communication clue that reveals one
person's genuine emotional state. The development of micro-expression analysis (MEA) has …

Labeling pixel-level masks for fine-grained semantic segmentation tasks, eg, human
parsing, remains a challenging task. The ambiguous boundary between different semantic …

Human parsing has received considerable interest due to its wide application potentials.
Nevertheless, it is still unclear how to develop an accurate human parsing system in an …

The realm of textiles spans clothing, households, healthcare, sports, and industrial
applications. The deformable nature of these objects poses unique challenges that prior …

Fashion is the way we present ourselves to the world and has become one of the world's
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …