This paper presents the Standalone Neural ODE (sNODE), a continuous-dept...
The inverse problem of supervised reconstruction of depth-variable
(time...
Unsupervised learning has made substantial progress over the last few ye...
The scarcity of labeled data is a major bottleneck for developing accura...
Single-image high dynamic range (SI-HDR) reconstruction has recently eme...
Insufficient training data is a major bottleneck for most deep learning
...
Digitization of histopathology slides has led to several advances, from ...
This paper presents an empirical study on the weights of neural networks...
Domain shift is a significant problem in histopathology. There can be la...
Convolutional neural networks (CNNs) can model complicated non-linear
re...
We introduce Synscapes -- a synthetic dataset for street scene parsing
c...
Camera sensors can only capture a limited range of luminance simultaneou...
We present an overview and evaluation of a new, systematic approach for
...
One of the most successful approaches to modern high quality HDR-video
c...