Matteo Maggioni

Matteo Maggioni

Imperial College London

H-index: 14

Europe-United Kingdom

About Matteo Maggioni

Matteo Maggioni, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Deep Learning, Computer Vision, Image Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes

Efficient view synthesis and 3d-based multi-frame denoising with multiplane feature representations

Global Latent Neural Rendering

Tunable convolutions with parametric multi-loss optimization

Linear Complexity Self-Attention with Order Polynomials

Vschh 2023: A benchmark for the view synthesis challenge of human heads

Factorized dynamic fully-connected layers for neural networks

Model-based image signal processors via learnable dictionaries

Matteo Maggioni Information

University

Position

___

Citations(all)

2067

Citations(since 2020)

1370

Cited By

1194

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Matteo Maggioni Skills & Research Interests

Deep Learning

Computer Vision

Image Processing

Top articles of Matteo Maggioni

Title

Journal

Author(s)

Publication Date

Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes

Francesca Babiloni

Matteo Maggioni

Thomas Tanay

Jiankang Deng

Ales Leonardis

...

2023

Efficient view synthesis and 3d-based multi-frame denoising with multiplane feature representations

Thomas Tanay

Aleš Leonardis

Matteo Maggioni

2023

Global Latent Neural Rendering

arXiv preprint arXiv:2312.08338

Thomas Tanay

Matteo Maggioni

2023/12/13

Tunable convolutions with parametric multi-loss optimization

Matteo Maggioni

Thomas Tanay

Francesca Babiloni

Steven McDonagh

Aleš Leonardis

2023

Linear Complexity Self-Attention with Order Polynomials

TPAMI

Francesca Babiloni

Ioannis Marras

Jiankang Deng

Filippos Kokkinos

Matteo Maggioni

...

2023/3

Vschh 2023: A benchmark for the view synthesis challenge of human heads

Youngkyoon Jang

Jiali Zheng

Jifei Song

Helisa Dhamo

Eduardo Pérez-Pellitero

...

2023

Factorized dynamic fully-connected layers for neural networks

Francesca Babiloni

Thomas Tanay

Jiankang Deng

Matteo Maggioni

Stefanos Zafeiriou

2023

Model-based image signal processors via learnable dictionaries

Proceedings of the AAAI Conference on Artificial Intelligence

Marcos V Conde

Steven McDonagh

Matteo Maggioni

Ales Leonardis

Eduardo Pérez-Pellitero

2022/6/28

Diagnosing and preventing instabilities in recurrent video processing

IEEE Transactions on Pattern Analysis and Machine Intelligence

Thomas Tanay

Aivar Sootla

Matteo Maggioni

Puneet K Dokania

Philip Torr

...

2022/3/17

Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images

Nanqing Dong

Matteo Maggioni

Yongxin Yang

Eduardo Pérez-Pellitero

Ales Leonardis

...

2022

Chopping Formers is what you need in Vision

Francesca Babiloni

Thomas Tanay

Matteo Maggioni

Jiankang Deng

Ales Leonardis

...

2022/9/29

Spatially adaptive image filtering

2022/9/1

Efficient multi-stage video denoising with recurrent spatio-temporal fusion

Matteo Maggioni

Yibin Huang

Cheng Li

Shuai Xiao

Zhongqian Fu

...

2021

Fast camera image denoising on mobile gpus with deep learning, mobile ai 2021 challenge: Report

Andrey Ignatov

Kim Byeoung-Su

Radu Timofte

Angeline Pouget

2021

NTIRE 2021 challenge on quality enhancement of compressed video: Methods and results

Ren Yang

2021

Ntire 2020 challenge on real image denoising: Dataset, methods and results

Abdelrahman Abdelhamed

Mahmoud Afifi

Radu Timofte

Michael S Brown

2020

See List of Professors in Matteo Maggioni University(Imperial College London)