This work introduces "You Only Diffuse Areas" (YODA), a novel method for...
This work introduces Differential Wavelet Amplifier (DWA), a drop-in mod...
We present new Recurrent Neural Network (RNN) cells for image classifica...
This paper presents a novel Diffusion-Wavelet (DiWa) approach for
Single...
With the advent of Deep Learning (DL), Super-Resolution (SR) has also be...
Neural Architecture Search (NAS) defines the design of Neural Networks a...
Curriculum learning is a bio-inspired training technique that is widely
...
Spatial Transformer Networks (STN) can generate geometric transformation...
In the past, the rapidly evolving field of sound classification greatly
...
Environmental Sound Classification (ESC) is a rapidly evolving field tha...
Conditional image synthesis from layout has recently attracted much inte...
With the advent of generative adversarial networks, synthesizing images ...
One-shot Video Object Segmentation (VOS) is the task of pixel-wise track...
Video Object Segmentation (VOS) is an active research area of the visual...
Environmental Sound Classification (ESC) is an active research area in t...
In recent years, progress in the Visual Question Answering (VQA) field h...
Growing amounts of online user data motivate the need for automated
proc...
We propose a novel way to measure and understand convolutional neural
ne...
In this paper, we extend a symbolic association framework for being able...