Gianni Franchi

According to our database, Gianni Franchi authored at least 45 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification.

Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting.

Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat

CoRR, 2024

Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It.

Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis

CoRR, 2024

Learning to generate training datasets for robust semantic segmentation.

Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

InfraParis: A multi-modal and multi-task autonomous driving dataset.

Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression.

Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models.

Gianni Franchi, Olivier Laurent, Maxence Leguéry, Andrei Bursuc, Andrea Pilzer, Angela Yao

CoRR, 2023

CLIP-QDA: An Explainable Concept Bottleneck Model.

Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi

CoRR, 2023

A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors.

Olivier Laurent, Emanuel Aldea, Gianni Franchi

CoRR, 2023

NECO: NEural Collapse Based Out-of-distribution detection.

Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu, Antoine Manzanera, Gianni Franchi

CoRR, 2023

How to effectively train an ensemble of Faster R-CNN object detectors to quantify uncertainty.

Denis Mbey Akola, Gianni Franchi

CoRR, 2023

Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement.

Kai Xu, Rongyu Chen, Gianni Franchi, Angela Yao

CoRR, 2023

Improving CLIP Robustness with Knowledge Distillation and Self-Training.

Clement Laroudie, Andrei Bursuc, Mai Lan Ha, Gianni Franchi

CoRR, 2023

Packed Ensembles for efficient uncertainty estimation.

Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Robust Semantic Segmentation UNCV2023 Challenge Results.

Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning deep morphological networks with neural architecture search.

Yufei Hu, Nacim Belkhir, Jesús Angulo, Angela Yao, Gianni Franchi

Pattern Recognit., 2022

Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification.

Adrien Bennetot, Gianni Franchi, Javier Del Ser, Raja Chatila, Natalia Díaz Rodríguez

Knowl. Based Syst., 2022

EXplainable Neural-Symbolic Learning (<i>X-NeSyL</i>) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case.

Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera

Inf. Fusion, 2022

MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks.

Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat

CoRR, 2022

A study of deep perceptual metrics for image quality assessment.

Rémi Kazmierczak, Gianni Franchi, Nacim Belkhir, Antoine Manzanera, David Filliat

CoRR, 2022

One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification.

Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch

IEEE Access, 2022

On Monocular Depth Estimation and Uncertainty Quantification Using Classification Approaches for Regression.

Xuanlong Yu, Gianni Franchi, Emanuel Aldea

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Latent Discriminant Deterministic Uncertainty.

Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat

Proceedings of the Computer Vision - ECCV 2022, 2022

MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks.

Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Ángel Tena, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Reliable Semantic Segmentation with Superpixel-Mix.

Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao

CoRR, 2021

Learning a Discriminant Latent Space with Neural Discriminant Analysis.

Mai Lan Ha, Gianni Franchi, Emanuel Aldea, Volker Blanz

CoRR, 2021

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case.

Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera

CoRR, 2021

SLURP: Side Learning Uncertainty for Regression Problems.

Xuanlong Yu, Gianni Franchi, Emanuel Aldea

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Robust Semantic Segmentation with Superpixel-Mix.

Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Deep morphological networks.

Gianni Franchi, Amin Fehri, Angela Yao

Pattern Recognit., 2020

One Versus all for deep Neural Network Incertitude (OVNNI) quantification.

Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch

CoRR, 2020

Tracking Hundreds of People in Densely Crowded Scenes With Particle Filtering Supervising Deep Convolutional Neural Networks.

Gianni Franchi, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch

Proceedings of the IEEE International Conference on Image Processing, 2020

TRADI: Tracking Deep Neural Network Weight Distributions.

Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Crowd Behavior Characterization for Scene Tracking.

Gianni Franchi, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch

Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2018

Segmentation and Shape Extraction from Convolutional Neural Networks.

Mai Lan Ha, Gianni Franchi, Michael Möller, Andreas Kolb, Volker Blanz

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Supervised Deep Kriging for Single-Image Super-Resolution.

Gianni Franchi, Angela Yao, Andreas Kolb

Proceedings of the Pattern Recognition - 40th German Conference, 2018

2016

Spatial machine learning applied to multivariate and multimodal images. (Machine learning spatial appliquée aux images multivariées et multimodales).

Gianni Franchi

PhD thesis, 2016

Morphological Principal Component Analysis for Hyperspectral Image Analysis.

Gianni Franchi, Jesús Angulo

ISPRS Int. J. Geo Inf., 2016

Hyperspectral image classification with support vector machines on kernel distribution embeddings.

Gianni Franchi, Jesús Angulo, Dino Sejdinovic

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A deep spatial/spectral descriptor of hyperspectral texture using scattering transform.

Gianni Franchi, Jesús Angulo

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Bagging Stochastic Watershed on Natural Color Image Segmentation.

Gianni Franchi, Jesús Angulo

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

Ordering on the Probability Simplex of Endmembers for Hyperspectral Morphological Image Processing.

Gianni Franchi, Jesús Angulo

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

Quantization of Hyperspectral Image Manifold Using Probabilistic Distances.

Gianni Franchi, Jesús Angulo

Proceedings of the Geometric Science of Information - Second International Conference, 2015

2014

Comparative study on morphological principal component analysis of hyperspectral images.

Gianni Franchi, Jesús Angulo

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Spatially-Variant Area Openings for Reference-Driven Adaptive Contour Preserving Filtering.

Gianni Franchi, Jesús Angulo

Proceedings of the 22nd International Conference on Pattern Recognition, 2014