Image Quality Assessment (IQA) is a fundamental task in computer vision ...
Developing and integrating advanced image sensors with novel algorithms ...
The proliferation of in-the-wild videos has greatly expanded the Video
Q...
The proliferation of videos collected during in-the-wild natural setting...
Developing and integrating advanced image sensors with novel algorithms ...
Developing and integrating advanced image sensors with novel algorithms ...
Recent learning-based video quality assessment (VQA) algorithms are expe...
The rapid increase in user-generated-content (UGC) videos calls for the
...
The increased resolution of real-world videos presents a dilemma between...
Developing and integrating advanced image sensors with novel algorithms ...
Developing and integrating advanced image sensors with novel algorithms ...
Developing and integrating advanced image sensors with novel algorithms ...
Developing and integrating advanced image sensors with novel algorithms ...
Developing and integrating advanced image sensors with novel algorithms ...
With the rapid growth of in-the-wild videos taken by non-specialists, bl...
Current deep video quality assessment (VQA) methods are usually with hig...
The temporal relationships between frames and their influences on video
...
Transformer, as a strong and flexible architecture for modelling long-ra...
Video inpainting aims to fill the given spatiotemporal holes with realis...
In the animation industry, cartoon videos are usually produced at low fr...
Sparsity in Deep Neural Networks (DNNs) has been widely studied to compr...
Stereo matching is an important problem in computer vision which has dra...
With the prosperity of digital video industry, video frame interpolation...
Previous image based relighting methods require capturing multiple image...
Large-scale synthetic datasets are beneficial to stereo matching but usu...
We present a novel formulation to removing reflection from polarized ima...
Video interpolation is an important problem in computer vision, which he...
Inferring the 3D shape of an object from an RGB image has shown impressi...
Recently, it is increasingly popular to equip mobile RGB cameras with
Ti...
Most existing super-resolution methods do not perform well in real scena...
Most of the classical denoising methods restore clear results by selecti...
The growing availability of commodity RGB-D cameras has boosted the
appl...
With the developments of dual-lens camera modules,depth information
repr...
In this paper, we present confidence inference approachin an unsupervise...
We propose to combine the robustness merit of model-based approaches and...
Despite the recent success of stereo matching with convolutional neural
...
Previous monocular depth estimation methods take a single view and direc...
We observed that recent state-of-the-art results on single image human p...
In this paper, we introduce a bilinear composition loss function to addr...
Recent advances in visual tracking showed that deep Convolutional Neural...