Vision Transformer(ViT) is now dominating many vision tasks. The drawbac...
Despite recent advances in syncing lip movements with any audio waves,
c...
Transformer-based models achieve favorable performance in artistic style...
Text-driven image manipulation remains challenging in training or infere...
It is widely agreed that reference-based super-resolution (RefSR) achiev...
Creating the photo-realistic version of people sketched portraits is use...
While dynamic Neural Radiance Fields (NeRF) have shown success in
high-f...
Reference-based image super-resolution (RefSR) is a promising SR branch ...
This paper reviews the Challenge on Super-Resolution of Compressed Image...
Video-text retrieval (VTR) is an attractive yet challenging task for
mul...
We propose a novel image retouching method by modeling the retouching pr...
Deeply learned representations have achieved superior image retrieval
pe...
A common challenge posed to robust semantic segmentation is the expensiv...
To achieve disentangled image manipulation, previous works depend heavil...
Neural painting refers to the procedure of producing a series of strokes...
Fast arbitrary neural style transfer has attracted widespread attention ...
Image Retrieval is a fundamental task of obtaining images similar to the...
Inpainting arbitrary missing regions is challenging because learning val...
This paper reviews the first NTIRE challenge on quality enhancement of
c...
Human pose transfer has received great attention due to its wide
applica...
Artistic style transfer aims at migrating the style from an example imag...
Recently, research efforts have been concentrated on revealing how
pre-t...
This paper addresses representational block named Hierarchical-Split Blo...
This paper reviews the NTIRE 2020 challenge on video quality mapping (VQ...
Images or videos always contain multiple objects or actions. Multi-label...
In this work, we introduce a new problem, named as story-preserving lon...
Existing action localization approaches adopt shallow temporal convoluti...
Video Recognition has drawn great research interest and great progress h...
Recently, image super-resolution has been widely studied and achieved
si...
The task of video grounding, which temporally localizes a natural langua...
Despite the success of deep learning for static image understanding, it
...
In this report, our approach to tackling the task of ActivityNet 2018
Ki...