Eduardo Pérez-Pellitero

Orcid: 0000-0001-9096-4740

According to our database1, Eduardo Pérez-Pellitero authored at least 38 papers between 2013 and 2024.

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Bibliography

2024
SCRREAM : SCan, Register, REnder And Map:A Framework for Annotating Accurate and Dense 3D Indoor Scenes with a Benchmark.
CoRR, 2024

AIM 2024 Sparse Neural Rendering Challenge: Methods and Results.
CoRR, 2024

AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark.
CoRR, 2024

FORCE: Dataset and Method for Intuitive Physics Guided Human-object Interaction.
CoRR, 2024

SWinGS: Sliding Windows for Dynamic 3D Gaussian Splatting.
Proceedings of the Computer Vision - ECCV 2024, 2024

HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting.
Proceedings of the Computer Vision - ECCV 2024, 2024

RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF.
Proceedings of the Computer Vision - ECCV 2024, 2024

Human Gaussian Splatting: Real-Time Rendering of Animatable Avatars.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction.
Proceedings of the International Conference on 3D Vision, 2024

2023
CLAD: A realistic Continual Learning benchmark for Autonomous Driving.
Neural Networks, April, 2023

Deformable 3D Gaussian Splatting for Animatable Human Avatars.
CoRR, 2023

SWAGS: Sampling Windows Adaptively for Dynamic 3D Gaussian Splatting.
CoRR, 2023

Reality's Canvas, Language's Brush: Crafting 3D Avatars from Monocular Video.
CoRR, 2023


2022
FlexHDR: Modeling Alignment and Exposure Uncertainties for Flexible HDR Imaging.
IEEE Trans. Image Process., 2022

Self-supervised HDR Imaging from Motion and Exposure Cues.
CoRR, 2022

FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging.
CoRR, 2022

Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022



Re-examining Distillation for Continual Object Detection.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

HDR Reconstruction from Bracketed Exposures and Events.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Model-Based Image Signal Processors via Learnable Dictionaries.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Residual Contrastive Learning for Joint Demosaicking and Denoising.
CoRR, 2021

NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2018
Manifold learning for super resolution.
PhD thesis, 2018

Photorealistic Video Super Resolution.
CoRR, 2018

2016
Antipodally Invariant Metrics for Fast Regression-Based Super-Resolution.
IEEE Trans. Image Process., 2016

Half hypersphere confinement for piecewise linear regression.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

PSyCo: Manifold Span Reduction for Super Resolution.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Naive Bayes Super-Resolution Forest.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Accelerating Super-Resolution for 4K upscaling.
Proceedings of the IEEE International Conference on Consumer Electronics, 2015

2014
Robust single-image super-resolution using cross-scale self-similarity.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

An epipolar-constrained prior for efficient search in multi-view scenarios.
Proceedings of the 22nd European Signal Processing Conference, 2014

Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing.
Proceedings of the Computer Vision - ACCV 2014, 2014

Fast Super-Resolution via Dense Local Training and Inverse Regressor Search.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Fast single-image super-resolution with filter selection.
Proceedings of the IEEE International Conference on Image Processing, 2013

Bayesian region selection for adaptive dictionary-based Super-Resolution.
Proceedings of the British Machine Vision Conference, 2013


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