Video denoising using separable 4D nonlocal spatiotemporal transforms. - Matteo Maggioni; Giacomo Boracchi; Alessandro Foi; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2011)

Nonlocal transform-domain denoising of volumetric data with groupwise adaptive variance estimation. - Matteo Maggioni; Alessandro Foi (Computational Imaging, 2012)

Video Denoising, Deblocking, and Enhancement Through Separable 4-D Nonlocal Spatiotemporal Transforms. - Matteo Maggioni; Giacomo Boracchi; Alessandro Foi; Karen O. Egiazarian (IEEE Trans. Image Process., 2012)

Nonlocal Transform-Domain Filter for Volumetric Data Denoising and Reconstruction. - Matteo Maggioni; Vladimir Katkovnik; Karen O. Egiazarian; Alessandro Foi (IEEE Trans. Image Process., 2013)

Structural texture similarity metric based on intra-class variances. - Matteo Maggioni; Guoxin Jin; Alessandro Foi; Thrasyvoulos N. Pappas (ICIP, 2014)

Difference of Gaussians revolved along elliptical paths for ultrasound fetal head segmentation. - Alessandro Foi; Matteo Maggioni; Antonietta Pepe; Sylvia Rueda; J. Alison Noble; Aris T. Papageorghiou; Jussi Tohka (Comput. Medical Imaging Graph., 2014)

Joint Removal of Random and Fixed-Pattern Noise Through Spatiotemporal Video Filtering. - Matteo Maggioni; Enrique Sánchez-Monge; Alessandro Foi (IEEE Trans. Image Process., 2014)

Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge. - Sylvia Rueda; Sana Fathima; Caroline L. Knight; Mohammad Yaqub; Aris T. Papageorghiou; Bahbibi Rahmatullah; Alessandro Foi; Matteo Maggioni; Antonietta Pepe; Jussi Tohka; Richard V. Stebbing; John McManigle; et al. (IEEE Trans. Medical Imaging, 2014)

Adaptive Nonlocal Signal Restoration and Enhancement Techniques for High-Dimensional Data. - Matteo Maggioni (2015)

Video temporal super-resolution using nonlocal registration and self-similarity. - Matteo Maggioni; Pier Luigi Dragotti (MMSP, 2016)

Pixel Adaptive Filtering Units. - Filippos Kokkinos; Ioannis Marras; Matteo Maggioni; Gregory G. Slabaugh; Stefanos Zafeiriou (CoRR, 2019)

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. - Abdelrahman Abdelhamed; Mahmoud Afifi; Radu Timofte; Michael S. Brown; Yue Cao 009; Zhilu Zhang 001; Wangmeng Zuo; Xiaoling Zhang; Jiye Liu; Wendong Chen; Changyuan Wen; Meng Liu; et al. (CVPR Workshops, 2020)

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. - Abdelrahman Abdelhamed; Mahmoud Afifi; Radu Timofte; Michael S. Brown; Yun Cao 002; Zhilu Zhang 001; Wangmeng Zuo; Xiaoling Zhang; Jiye Liu; Wendong Chen; Changyuan Wen; Meng Liu; et al. (CoRR, 2020)

Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion. - Matteo Maggioni; Yibin Huang; Cheng Li; Shuai Xiao; Zhongqian Fu; Fenglong Song (CVPR, 2021)

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results. - Ren Yang; Radu Timofte; Jing Liu 031; Yi Xu 003; Xinjian Zhang; Minyi Zhao; Shuigeng Zhou; Kelvin C. K. Chan; Shangchen Zhou; Xiangyu Xu 002; Chen Change Loy; Xin Li 106; et al. (CoRR, 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; Fenglong Song; Cheng Li 009; Shuai Xiao; Zhongqian Fu; Matteo Maggioni; Yibin Huang; Shen Cheng; Xin Lu 006; et al. (CoRR, 2021)

Residual Contrastive Learning for Joint Demosaicking and Denoising. - Nanqing Dong; Matteo Maggioni; Yongxin Yang; Eduardo Pérez-Pellitero; Ales Leonardis; Steven McDonagh 001 (CoRR, 2021)

Model-Based Image Signal Processors via Learnable Dictionaries. - Marcos V. Conde; Steven McDonagh 001; Matteo Maggioni; Ales Leonardis; Eduardo Pérez-Pellitero (AAAI, 2022)

Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. - Nanqing Dong; Matteo Maggioni; Yongxin Yang; Eduardo Pérez-Pellitero; Ales Leonardis; Steven McDonagh 001 (IJCAI, 2022)

Tunable Convolutions with Parametric Multi-Loss Optimization. - Matteo Maggioni; Thomas Tanay; Francesca Babiloni; Steven McDonagh 001; Ales Leonardis (CVPR, 2023)

Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations. - Thomas Tanay; Ales Leonardis; Matteo Maggioni (CVPR, 2023)

Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes. - Francesca Babiloni; Matteo Maggioni; Thomas Tanay; Jiankang Deng; Ales Leonardis; Stefanos Zafeiriou (ICCV, 2023)

Factorized Dynamic Fully-Connected Layers for Neural Networks. - Francesca Babiloni; Thomas Tanay; Jiankang Deng; Matteo Maggioni; Stefanos Zafeiriou (ICCV (Workshops), 2023)

VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads. - Youngkyoon Jang; Jiali Zheng; Jifei Song; Helisa Dhamo; Eduardo Pérez-Pellitero; Thomas Tanay; Matteo Maggioni; Richard Shaw; Sibi Catley-Chandar; Yiren Zhou; Jiankang Deng; Ruijie Zhu 002; et al. (ICCV (Workshops), 2023)

Diagnosing and Preventing Instabilities in Recurrent Video Processing. - Thomas Tanay; Aivar Sootla; Matteo Maggioni; Puneet K. Dokania; Philip H. S. Torr; Ales Leonardis; Gregory G. Slabaugh (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Linear Complexity Self-Attention With $3{ mathrm{rd}}$3 rd Order Polynomials. - Francesca Babiloni; Ioannis Marras; Jiankang Deng; Filippos Kokkinos; Matteo Maggioni; Grigorios Chrysos 002; Philip H. S. Torr; Stefanos Zafeiriou (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Global Latent Neural Rendering. - Thomas Tanay; Matteo Maggioni (CVPR, 2024)