Vision-language pre-training (VLP) methods are blossoming recently, and ...
Modeling and synthesizing low-light raw noise is a fundamental problem f...
The unprecedented performance of large language models (LLMs) necessitat...
The robustness to distribution changes ensures that NLP models can be
su...
Despite the recent emergence of video captioning models, how to generate...
Open Information Extraction models have shown promising results with
suf...
Web and artificial intelligence technologies, especially semantic web an...
Document-level relation extraction with graph neural networks faces a
fu...
Camera, and associated with its objects within the field of view,
locali...
Although there are a small number of work to conduct patent research by
...
Few-shot Named Entity Recognition (NER) exploits only a handful of
annot...
Knowledge Graph has been proven effective in modeling structured informa...
Span-extraction reading comprehension models have made tremendous advanc...
The real-time performance of the stereo matching network is important fo...
Electric city bus gains popularity in recent years for its low greenhous...
Reinforcement Learning (RL) is widely utilized in the field of robotics,...
Propulsion system electrification revolution has been undergoing in the
...
Energy efficiency has proven to be an important factor dominating the wo...
In a complex system, the interactions between individual agents often le...
The beetle antennae search algorithm was recently proposed and investiga...
Many telepresence robots are equipped with a forward-facing camera for v...
Users' persistent social media contents like posts on Facebook Timeline ...
The maximum correntropy criterion (MCC) has recently been successfully
a...
The unscented transformation (UT) is an efficient method to solve the st...
Nonlinear similarity measures defined in kernel space, such as correntro...