Challenges, tasks, and opportunities in modeling agent-based complex systems
Humanity is facing many grand challenges at unprecedented rates, nearly everywhere, and
at all levels. Yet virtually all these challenges can be traced back to the decision and …
at all levels. Yet virtually all these challenges can be traced back to the decision and …
Comparing deep learning models for low-light natural scene image enhancement and their impact on object detection and classification: Overview, empirical …
R Al Sobbahi, J Tekli - Signal Processing: Image Communication, 2022 - Elsevier
Low-light image (LLI) enhancement is an important image processing task that aims at
improving the illumination of images taken under low-light conditions. Recently, a …
improving the illumination of images taken under low-light conditions. Recently, a …
PSD: Principled synthetic-to-real dehazing guided by physical priors
Deep learning-based methods have achieved remarkable performance for image dehazing.
However, previous studies are mostly focused on training models with synthetic hazy …
However, previous studies are mostly focused on training models with synthetic hazy …
Learning to resize images for computer vision tasks
H Talebi, P Milanfar - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
For all the ways convolutional neural nets have revolutionized computer vision in recent
years, one important aspect has received surprisingly little attention: the effect of image size …
years, one important aspect has received surprisingly little attention: the effect of image size …
Advancing image understanding in poor visibility environments: A collective benchmark study
Existing enhancement methods are empirically expected to help the high-level end
computer vision task: however, that is observed to not always be the case in practice. We …
computer vision task: however, that is observed to not always be the case in practice. We …
Single image deraining: A comprehensive benchmark analysis
We present a comprehensive study and evaluation of existing single image deraining
algorithms, using a new large-scale benchmark consisting of both synthetic and real-world …
algorithms, using a new large-scale benchmark consisting of both synthetic and real-world …
Applications, databases and open computer vision research from drone videos and images: a survey
Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an
emerging application attracting significant attention from researchers in various areas of …
emerging application attracting significant attention from researchers in various areas of …
[PDF][PDF] All-in-One Underwater Image Enhancement Using Domain-Adversarial Learning.
Raw underwater images are degraded due to wavelength dependent light attenuation and
scattering, limiting their applicability in vision systems. Another factor that makes enhancing …
scattering, limiting their applicability in vision systems. Another factor that makes enhancing …
Source-free domain adaptation for real-world image dehazing
Deep learning-based source dehazing methods trained on synthetic datasets have
achieved remarkable performance but suffer from dramatic performance degradation on real …
achieved remarkable performance but suffer from dramatic performance degradation on real …
Delving into robust object detection from unmanned aerial vehicles: A deep nuisance disentanglement approach
Object detection from images captured by Unmanned Aerial Vehicles (UAVs) is becoming
increasingly useful. Despite the great success of the generic object detection methods …
increasingly useful. Despite the great success of the generic object detection methods …