Due to their highly structured characteristics, faces are easier to reco...
Zero-shot referring image segmentation is a challenging task because it ...
Few-shot font generation is challenging, as it needs to capture the
fine...
Blind text image super-resolution (SR) is challenging as one needs to co...
For decades, memory capabilities have scaled up much slower than compute...
To improve the performance of blind face restoration, recent works mainl...
Designing proper training pairs is critical for super-resolving the
real...
Recently, hardware technology has rapidly evolved pertaining to
domain-s...
One key technical challenge in the age of autonomous machines is the
pro...
Objective: To develop a rule-based algorithm that detects temporal
infor...
Recent years have witnessed substantial progress in semantic image synth...
A key challenge of blind image super resolution is to recover realistic
...
With the rapid development of 5th Generation Mobile Communication Techno...
The famous three-body problem can be traced back to Newton in 1687, but ...
Human pose transfer has received great attention due to its wide
applica...
In response to the soaring needs of human mobility data, especially duri...
Artificial intelligence methods have been increasingly turning into a
po...
Understanding human mobility dynamics among places provides fundamental
...
Face restoration is important in face image processing, and has been wid...
Recent reference-based face restoration methods have received considerab...
State-of-the-art face super-resolution methods employ deep convolutional...
The conventional deep learning approaches for solving time-series proble...
The outbreak of COVID-19 highlights the need for a more harmonized, less...
Car-sharing issue is a popular research field in sharing economy. In thi...
Duality of linear programming is a standard approach to the classical
we...
Car-sharing problem is a popular research field in sharing economy. In t...
Wireless standards (e.g., IEEE 802.11af and 802.22) have been developed ...
Deep convolutional networks (CNNs) have achieved great success in face
c...
In this paper, we consider using deep neural network for OFDM symbol
det...
We present a novel deep learning approach to synthesize complete face im...
This paper studies the problem of blind face restoration from an
unconst...
Deep convolutional networks (CNNs) have exhibited their potential in ima...
Unmanned Aerial Vehicle (UAV) has been recognized as a promising way to
...
Unmanned Aerial Vehicle (UAV) has been recognized as a promising way to
...
The panoramic video is widely used to build virtual reality (VR) and is
...
This paper presents an end-to-end neural network model, named Neural
Gen...
This is the preprint version of our paper on Advances in Engineering
Sof...
This is the preprint version of our paper on EUROGRAPHICS 2015. A big ci...
We create a 'virtual-seabed' platform to realize the 3D visual analysis ...