The comparative losses (typically, triplet loss) are appealing choices f...
In this letter, we aim to address synthetic aperture radar (SAR) despeck...
Indexes provide a method to access data in databases quickly. It can imp...
Many real-world applications, such as city-scale traffic monitoring and
...
Temporal graphs are ubiquitous. Mining communities that are bursting in ...
Artificial intelligence algorithms have been applied to a wide variety o...
The study presents a general framework for discovering underlying Partia...
Despeckling is a key and indispensable step in SAR image preprocessing,
...
Attention mechanism has been shown to be effective for person
re-identif...
The UG^2+ challenge in IEEE CVPR 2019 aims to evoke a comprehensive
disc...
This paper proposes a novel fault diagnosis approach based on generative...
Takagi-Sugeno-Kang (TSK) fuzzy systems are very useful machine learning
...
This paper presents a review of the 2018 WIDER Challenge on Face and
Ped...
What is the current state-of-the-art for image restoration and enhanceme...
In industrial applications, nearly half the failures of motors are cause...
In-memory databases (IMDBs) are gaining increasing popularity in big dat...
Cyber-physical systems (CPSs) embed software into the physical world. Th...
Face detection serves as a fundamental research topic for many applicati...
The performance of face detection has been largely improved with the
dev...
We report on CMU Informedia Lab's system used in Google's YouTube 8 Mill...
Recent advances in deep learning, especially deep convolutional neural
n...
Hand detection is essential for many hand related tasks, e.g. parsing ha...
Previous work combines word-level and character-level representations us...
We propose a novel extension of the encoder-decoder framework, called a
...