research
∙
10/07/2022
CLAD: A realistic Continual Learning benchmark for Autonomous Driving
In this paper we describe the design and the ideas motivating a new Cont...
share
research
∙
05/25/2022
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
This paper reviews the challenge on constrained high dynamic range (HDR)...
research
∙
04/04/2022
Re-examining Distillation For Continual Object Detection
Training models continually to detect and classify objects, from new cla...
research
∙
03/28/2022
HDR Reconstruction from Bracketed Exposures and Events
Reconstruction of high-quality HDR images is at the core of modern compu...
research
∙
03/23/2022
Self-supervised HDR Imaging from Motion and Exposure Cues
Recent High Dynamic Range (HDR) techniques extend the capabilities of cu...
research
∙
01/10/2022
Model-Based Image Signal Processors via Learnable Dictionaries
Digital cameras transform sensor RAW readings into RGB images by means o...
research
∙
01/07/2022
FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging
High dynamic range (HDR) imaging is of fundamental importance in modern ...
research
∙
06/18/2021
Residual Contrastive Learning for Joint Demosaicking and Denoising
The breakthrough of contrastive learning (CL) has fueled the recent succ...
research
∙
06/02/2021
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results
This paper reviews the first challenge on high-dynamic range (HDR) imagi...
research
∙
07/20/2018