Gianni Franchi

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 58

Top Venues

PSL Research University, Paris, France (PHD)

Education History

PSL Research University, Paris, France

PHD

Publications

Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi
Learning to generate training datasets for robust semantic segmentation. WACV (2024)
Kai Xu, Rongyu Chen, Gianni Franchi, Angela Yao
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement. ICLR (2024)
Olivier Laurent, Emanuel Aldea, Gianni Franchi
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors. ICLR (2024)
Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu, Antoine Manzanera, Gianni Franchi
NECO: NEural Collapse Based Out-of-distribution detection. ICLR (2024)
Matteo Farina, Gianni Franchi, Giovanni Iacca, Massimiliano Mancini, Elisa Ricci
Frustratingly Easy Test-Time Adaptation of Vision-Language Models. CoRR (2024)
Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. AAAI (2024)
Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat
InfraParis: A multi-modal and multi-task autonomous driving dataset. WACV (2024)
Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting. CoRR (2024)
Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi
CLIP-QDA: An Explainable Concept Bottleneck Model. Trans. Mach. Learn. Res. 2024 (2024)
Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis
Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. CoRR (2024)
Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi
Packed Ensembles for efficient uncertainty estimation. ICLR (2023)
Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi
Learning to Generate Training Datasets for Robust Semantic Segmentation. CoRR (2023)
Olivier Laurent, Emanuel Aldea, Gianni Franchi
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors. CoRR (2023)
Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. CoRR (2023)
Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi
CLIP-QDA: An Explainable Concept Bottleneck Model. CoRR (2023)
Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat
InfraParis: A multi-modal and multi-task autonomous driving dataset. CoRR (2023)
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
The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR (2023)
Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu, Antoine Manzanera, Gianni Franchi
NECO: NEural Collapse Based Out-of-distribution detection. CoRR (2023)
Denis Mbey Akola, Gianni Franchi
How to effectively train an ensemble of Faster R-CNN object detectors to quantify uncertainty. CoRR (2023)
Clement Laroudie, Andrei Bursuc, Mai Lan Ha, Gianni Franchi
Improving CLIP Robustness with Knowledge Distillation and Self-Training. CoRR (2023)
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
The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) (2023)
Kai Xu, Rongyu Chen, Gianni Franchi, Angela Yao
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement. CoRR (2023)
Gianni Franchi, Olivier Laurent, Maxence Leguéry, Andrei Bursuc, Andrea Pilzer, Angela Yao
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. CoRR (2023)
Rémi Kazmierczak, Gianni Franchi, Nacim Belkhir, Antoine Manzanera, David Filliat
A study of deep perceptual metrics for image quality assessment. CoRR (2022)
Adrien Bennetot, Gianni Franchi, Javier Del Ser, Raja Chatila, Natalia Díaz Rodríguez
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification. CoRR (2022)
Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. Inf. Fusion 79 (2022)
Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification. IEEE Access 10 (2022)
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat
Latent Discriminant deterministic Uncertainty. CoRR (2022)
Xuanlong Yu, Gianni Franchi, Emanuel Aldea
On Monocular Depth Estimation and Uncertainty Quantification Using Classification Approaches for Regression. ICIP (2022)
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat
MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks. CoRR (2022)
Yufei Hu, Nacim Belkhir, Jesús Angulo, Angela Yao, Gianni Franchi
Learning deep morphological networks with neural architecture search. Pattern Recognit. 131 (2022)
Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi
Packed-Ensembles for Efficient Uncertainty Estimation. CoRR (2022)
Adrien Bennetot, Gianni Franchi, Javier Del Ser, Raja Chatila, Natalia Díaz Rodríguez
Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification. Knowl. Based Syst. 258 (2022)
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat
Latent Discriminant Deterministic Uncertainty. ECCV (12) (2022)
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Angel Tena, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks. BMVC (2022)
Xuanlong Yu, Gianni Franchi, Emanuel Aldea
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression. CoRR (2022)
Xuanlong Yu, Gianni Franchi, Emanuel Aldea
SLURP: Side Learning Uncertainty for Regression Problems. BMVC (2021)
Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao
Reliable Semantic Segmentation with Superpixel-Mix. CoRR (2021)
Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. CoRR (2021)
Yufei Hu, Nacim Belkhir, Jesús Angulo, Angela Yao, Gianni Franchi
Learning Deep Morphological Networks with Neural Architecture Search. CoRR (2021)
Mai Lan Ha, Gianni Franchi, Emanuel Aldea, Volker Blanz
Learning a Discriminant Latent Space with Neural Discriminant Analysis. CoRR (2021)
Xuanlong Yu, Gianni Franchi, Emanuel Aldea
SLURP: Side Learning Uncertainty for Regression Problems. CoRR (2021)
Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao
Robust Semantic Segmentation with Superpixel-Mix. BMVC (2021)
Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification. CoRR (2020)
Gianni Franchi, Amin Fehri, Angela Yao
Deep morphological networks. Pattern Recognit. 102 (2020)
Gianni Franchi, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
Tracking Hundreds of People in Densely Crowded Scenes With Particle Filtering Supervising Deep Convolutional Neural Networks. ICIP (2020)
Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
TRADI: Tracking Deep Neural Network Weight Distributions. ECCV (17) (2020)
Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
One Versus all for deep Neural Network Incertitude (OVNNI) quantification. CoRR (2020)
Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
TRADI: Tracking deep neural network weight distributions. CoRR (2019)
Gianni Franchi, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
Crowd Behavior Characterization for Scene Tracking. AVSS (2019)
Gianni Franchi, Angela Yao, Andreas Kolb
Supervised Deep Kriging for Single-Image Super-Resolution. GCPR (2018)
Gianni Franchi, Angela Yao, Andreas Kolb
Supervised Deep Kriging for Single-Image Super-Resolution. CoRR (2018)
Mai Lan Ha, Gianni Franchi, Michael Möller, Andreas Kolb, Volker Blanz
Segmentation and Shape Extraction from Convolutional Neural Networks. WACV (2018)
Gianni Franchi, Jesús Angulo, Dino Sejdinovic
Hyperspectral Image Classification with Support Vector Machines on Kernel Distribution Embeddings. CoRR (2016)
Gianni Franchi, Jesús Angulo
A deep spatial/spectral descriptor of hyperspectral texture using scattering transform. ICIP (2016)
Gianni Franchi, Jesús Angulo
Morphological Principal Component Analysis for Hyperspectral Image Analysis. ISPRS Int. J. Geo Inf. 5 (6) (2016)
Gianni Franchi, Jesús Angulo, Dino Sejdinovic
Hyperspectral image classification with support vector machines on kernel distribution embeddings. ICIP (2016)
Gianni Franchi, Jesús Angulo
Ordering on the Probability Simplex of Endmembers for Hyperspectral Morphological Image Processing. ISMM (2015)
Gianni Franchi, Jesús Angulo
Quantization of Hyperspectral Image Manifold Using Probabilistic Distances. GSI (2015)
Gianni Franchi, Jesús Angulo
Bagging Stochastic Watershed on Natural Color Image Segmentation. ISMM (2015)
Gianni Franchi, Jesús Angulo
Spatially-Variant Area Openings for Reference-Driven Adaptive Contour Preserving Filtering. ICPR (2014)
Gianni Franchi, Jesús Angulo
Comparative study on morphological principal component analysis of hyperspectral images. WHISPERS (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gianni Franchi