Implicit neural representations (INR) have gained increasing attention i...
The goal of multimodal summarization is to extract the most important
in...
Compression and reconstruction of visual data have been widely studied i...
Low-quality listings and bad actor behavior in online retail websites
th...
Weakly-supervised temporal action localization aims to recognize and loc...
We propose a novel neural representation for videos (NeRV) which encodes...
With rapidly evolving internet technologies and emerging tools, sports
r...
Self-attention learns pairwise interactions via dot products to model
lo...
Autonomous underwater vehicle (AUV) plays an increasingly important role...
TAMER has proven to be a powerful interactive reinforcement learning met...
In this paper, we propose a novel method for fast face recognition calle...
Extreme learning machine (ELM) as an emerging branch of shallow networks...
Extreme learning machine (ELM) as a neural network algorithm has shown i...