Eduardo Pérez-Pellitero | DeepAI

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∙ 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...

0 Eli Verwimp, et al. ∙

∙ 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)...

0 Eduardo Pérez-Pellitero, et al. ∙

∙ 04/04/2022

Re-examining Distillation For Continual Object Detection

Training models continually to detect and classify objects, from new cla...

0 Eli Verwimp, et al. ∙

∙ 03/28/2022

HDR Reconstruction from Bracketed Exposures and Events

Reconstruction of high-quality HDR images is at the core of modern compu...

0 Richard Shaw, et al. ∙

∙ 03/23/2022

Self-supervised HDR Imaging from Motion and Exposure Cues

Recent High Dynamic Range (HDR) techniques extend the capabilities of cu...

0 Michal Nazarczuk, et al. ∙

∙ 01/10/2022

Model-Based Image Signal Processors via Learnable Dictionaries

Digital cameras transform sensor RAW readings into RGB images by means o...

43 Marcos V. Conde, et al. ∙

∙ 01/07/2022

FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging

High dynamic range (HDR) imaging is of fundamental importance in modern ...

17 Sibi Catley-Chandar, et al. ∙

∙ 06/18/2021

Residual Contrastive Learning for Joint Demosaicking and Denoising

The breakthrough of contrastive learning (CL) has fueled the recent succ...

0 Nanqing Dong, et al. ∙

∙ 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...

0 Eduardo Pérez-Pellitero, et al. ∙

∙ 07/20/2018

Photorealistic Video Super Resolution

With the advent of perceptual loss functions, new possibilities in super...

4 Eduardo Pérez-Pellitero, et al. ∙

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