Peter Naylor

17 papers A* 1A 1C 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
HeatMat: Simulation of City Material Impact on Urban Heat Island Effect.
CoRR
Marie Reinbigler, Romain Rouffet, Peter Naylor, Mikolaj Czerkawski, Nikolaos Dionelis, Elisabeth Brunet, Catalin I. Fetita, Rosalie Martin
2025 J jnl
Multitemporal Multispectral Dataset for Palaeochannels Segmentation (MAPS).
IEEE Access
Giulio Poggi, Andaleeb Yaseen, Raveerat Jaturapitpornchai, Sara Ferro, Gregory Sech, Peter Naylor, Maria Cristina Salvi, Sebastiano Vascon, Bertrand Le Saux, Marco Fiorucci, Arianna Traviglia
2025 J jnl
Sparse minimum Redundancy Maximum Relevance for feature selection.
CoRR
Peter Naylor, Benjamin Poignard, Héctor Climente-González, Makoto Yamada
2024 — conf
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting.
CVPR Workshops
Patrick Ebel, Brandon Victor, Peter Naylor, Gabriele Meoni, Federico Serva, Rochelle Schneider
2024 J jnl
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting.
CoRR
Patrick Ebel, Brandon Victor, Peter Naylor, Gabriele Meoni, Federico Serva, Rochelle Schneider
2024 A conf
Implicit neural representation for change detection.
WACV
Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci
2024 A* conf
Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting.
NeurIPS
Brandon Victor, Mathilde Letard, Peter Naylor, Karim Douch, Nicolas Longépé, Zhen He, Patrick Ebel
2024 J jnl
Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting.
CoRR
Brandon Victor, Mathilde Letard, Peter Naylor, Karim Douch, Nicolas Longépé, Zhen He, Patrick Ebel
2023 J jnl
Deep-Learning-based Change Detection with Spaceborne Hyperspectral PRISMA data.
CoRR
Juan Francisco Amieva, A. Austoni, Maria A. Brovelli, Luigi Ansalone, Peter Naylor, Federico Serva, Bertrand Le Saux
2023 J jnl
Implicit neural representation for change detection.
CoRR
Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci
2023 J jnl
Optimal Transport for Change Detection on LiDAR Point Clouds.
CoRR
Marco Fiorucci, Peter Naylor, Makoto Yamada
2023 C conf
Optimal Transport for Change Detection on Lidar Point Clouds.
IGARSS
Marco Fiorucci, Peter Naylor, Makoto Yamada
2022 J jnl
Scale dependant layer for self-supervised nuclei encoding.
CoRR
Peter Naylor, Yao-Hung Hubert Tsai, Marick Laé, Makoto Yamada
2019 — —
From cellular phenotypes to the analysis of whole slide images: Application to treatment response in triple-negative breast cancer. (Du phénotypage cellulaire à la classification de lames digitales: Une application au traitement du cancer du sein triple-négatif).
Peter Naylor
2019 — conf
Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort.
ISBI
Peter Naylor, Joseph Boyd, Marick Laé, Fabien Reyal, Thomas Walter
2019 J jnl
Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map.
IEEE Trans. Medical Imaging
Peter Naylor, Marick Lae, Fabien Reyal, Thomas Walter
2017 — conf
Nuclei segmentation in histopathology images using deep neural networks.
ISBI
Peter Naylor, Marick Lae, Fabien Reyal, Thomas Walter