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Riccardo de Lutio
Riccardo de Lutio
Research Scientist, Toronto AI Lab, NVIDIA
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
Guided super-resolution as pixel-to-pixel transformation
RD Lutio, S D'aronco, JD Wegner, K Schindler
Proceedings of the ieee/cvf international conference on computer vision …, 2019
832019
Learning graph regularisation for guided super-resolution
R De Lutio, A Becker, S D'Aronco, S Russo, JD Wegner, K Schindler
Proceedings of the ieee/cvf conference on computer vision and pattern …, 2022
392022
Digital Taxonomist: Identifying Plant Species in Community Scientists' Photographs
R de Lutio, Y She, S D'Aronco, S Russo, P Brun, JD Wegner, K Schindler
ISPRS Journal of Photogrammetry and Remote Sensing, 2021
152021
The herbarium 2021 half–earth challenge dataset and machine learning competition
R de Lutio, JY Park, KA Watson, S D'Aronco, JD Wegner, JJ Wieringa, ...
Frontiers in Plant Science 12, 787127, 2022
122022
Multispecies deep learning using citizen science data produces more informative plant community models
P Brun, DN Karger, D Zurell, P Descombes, LC de Witte, R de Lutio, ...
Nature Communications 15 (1), 4421, 2024
8*2024
OmniRe: Omni Urban Scene Reconstruction
Z Chen, J Yang, J Huang, R de Lutio, JM Esturo, B Ivanovic, O Litany, ...
arXiv preprint arXiv:2408.16760, 2024
52024
RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting
A Mirzaei, R De Lutio, SW Kim, D Acuna, J Kelly, S Fidler, I Gilitschenski, ...
arXiv preprint arXiv:2404.10765, 2024
32024
3D Gaussian Ray Tracing: Fast Tracing of Particle Scenes
N Moenne-Loccoz, A Mirzaei, O Perel, R de Lutio, J Martinez Esturo, ...
ACM Transactions on Graphics (TOG) 43 (6), 1-19, 2024
22024
NAFlora-1M: Continental-Scale High-Resolution Fine-Grained Plant Classification Dataset
J Park, R de Lutio, B Rappazzo, B Ambrose, F Michelangeli, K Watson, ...
Journal of Data-centric Machine Learning Research, 2024
2024
Exploiting Multimodal Data in Computer Vision with Applications to Super-Resolution and Classification
R de Lutio
ETH Zurich, 2023
2023
Using Machine Learning to Identify Plant Species Acquired by Citizen Scientists
K Schindler, S D’Aronco, R de Lutio
2021
Guided Super-Resolution of Environmental Maps
R De Lutio, S D’Aronco, JD Wegner, K Schindler
Abstract Volume 17th Swiss Geoscience Meeting, 517-517, 2019
2019
Florid–a Nationwide Identification Service for Plants from Photos and Habitat Information
P Brun, L de Witte, MR Popp, D Zurell, DN Karger, P Descombes, ...
Available at SSRN 4830448, 0
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