BANet: A Blur-Aware Attention Network for Dynamic Scene Deblurring.

Image motion blur results from a combination of object motions and camera shakes, and such blurring effect is generally directional and non-uniform. Previous research attempted to solve non-uniform blurs using self-recurrent multi-scale, multi-patch, or multi-temporal architectures with self-attention to obtain decent results. However, using self-recurrent frameworks typically leads to a longer inference time, while inter-pixel or inter-channel self-attention may cause excessive memory usage.

A Multi-domain and Multi-modal Representation Disentangler for Cross-Domain Image Manipulation and Classification.

Learning interpretable data representation has been an active research topic in deep learning and computer vision. While representation disentanglement is an effective technique for addressing this task, existing works cannot easily handle the problems in which manipulating and recognizing data across multiple domains are desirable. In this paper, we present a unified network architecture of Multi-domain and Multi-modal Representation Disentangler (M2RD), with the goal of learning domain-invariant content representation with the associated domain-specific representation observed.

Image Co-Saliency Detection and Co-Segmentation via Progressive Joint Optimization.

We present a novel computational model for simultaneous image co-saliency detection and co-segmentation that concurrently explores the concepts of saliency and objectness in multiple images. It has been shown that the co-saliency detection via aggregating multiple saliency proposals by diverse visual cues can better highlight the salient objects; however, the optimal proposals are typically region-dependent and the fusion process often leads to blurred results. Co-segmentation can help preserve object boundaries, but it may suffer from complex scenes.

Hemodialysis reduces the viral load in uremic patients with chronic hepatitis B infection.

Background And Aims: The effect of hemodialysis (HD) to change the viral load of hepatitis B virus (HBV) in uremic patients with chronic HBV infection has never been studied. In this study, we investigated the HBV viral loads and their changes between the HD procedure in the uremic patients.

Patients And Methods: A total of 38 chronic HBV-infected uremic patients were enrolled, but eight cases were excluded due to HCV co-infection and under anti-viral therapy.