Until recently, the Video Instance Segmentation (VIS) community operated...
While the performance of deep convolutional neural networks for image
su...
The aim of this paper is to propose a mechanism to efficiently and expli...
Bidirectional Encoder Representations from Transformers or
BERT <cit.> h...
Video restoration aims at restoring multiple high-quality frames from
mu...
Video restoration (e.g., video super-resolution) aims to restore high-qu...
Inspired by the robustness and efficiency of sparse representation in sp...
Deep convolution-based single image super-resolution (SISR) networks emb...
This paper reviews the NTIRE 2020 challenge on real image denoising with...
Self-similarity refers to the image prior widely used in image restorati...
While scale-invariant modeling has substantially boosted the performance...
In this paper we present a new computer vision task, named video instanc...
Learning long-term spatial-temporal features are critical for many video...
Learning long-term spatial-temporal features are critical for many video...
In this report we demonstrate that with same parameters and computationa...
Many classic methods have shown non-local self-similarity in natural ima...