default search action
Gianni Franchi
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j8]Gianni Franchi
, Andrei Bursuc
Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2027-2040 (2024) - [j7]Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi:
CLIP-QDA: An Explainable Concept Bottleneck Model. Trans. Mach. Learn. Res. 2024 (2024) - [c26]Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea:
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. AAAI 2024: 6835-6843 - [c25]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. CVPR 2024: 12194-12204 - [c24]Olivier Laurent, Emanuel Aldea, Gianni Franchi:
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors. ICLR 2024 - [c23]Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu, Antoine Manzanera, Gianni Franchi:
NECO: NEural Collapse Based Out-of-distribution detection. ICLR 2024 - [c22]Kai Xu, Rongyu Chen, Gianni Franchi, Angela Yao:
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement. ICLR 2024 - [c21]Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat:
InfraParis: A multi-modal and multi-task autonomous driving dataset. WACV 2024: 2961-2971 - [c20]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: 3882-3893 - [i31]Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis:
Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. CoRR abs/2403.14715 (2024) - [i30]Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat:
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting. CoRR abs/2403.17678 (2024) - [i29]Matteo Farina, Gianni Franchi, Giovanni Iacca, Massimiliano Mancini, Elisa Ricci:
Frustratingly Easy Test-Time Adaptation of Vision-Language Models. CoRR abs/2405.18330 (2024) - [i28]Mingxuan Liu, Zhun Zhong, Jun Li, Gianni Franchi, Subhankar Roy, Elisa Ricci:
Organizing Unstructured Image Collections using Natural Language. CoRR abs/2410.05217 (2024) - 2023
- [c19]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
The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) 2023: 4620-4630 - [c18]Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi:
Packed Ensembles for efficient uncertainty estimation. ICLR 2023 - [i27]Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi:
Learning to Generate Training Datasets for Robust Semantic Segmentation. CoRR abs/2308.02535 (2023) - [i26]Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea:
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. CoRR abs/2308.09065 (2023) - [i25]Clement Laroudie, Andrei Bursuc, Mai Lan Ha, Gianni Franchi:
Improving CLIP Robustness with Knowledge Distillation and Self-Training. CoRR abs/2309.10361 (2023) - [i24]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
The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR abs/2309.15478 (2023) - [i23]Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat:
InfraParis: A multi-modal and multi-task autonomous driving dataset. CoRR abs/2309.15751 (2023) - [i22]Kai Xu, Rongyu Chen, Gianni Franchi, Angela Yao:
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement. CoRR abs/2310.00227 (2023) - [i21]Denis Mbey Akola, Gianni Franchi:
How to effectively train an ensemble of Faster R-CNN object detectors to quantify uncertainty. CoRR abs/2310.04829 (2023) - [i20]Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu, Antoine Manzanera, Gianni Franchi:
NECO: NEural Collapse Based Out-of-distribution detection. CoRR abs/2310.06823 (2023) - [i19]Olivier Laurent, Emanuel Aldea, Gianni Franchi:
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors. CoRR abs/2310.08287 (2023) - [i18]Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi:
CLIP-QDA: An Explainable Concept Bottleneck Model. CoRR abs/2312.00110 (2023) - [i17]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 abs/2312.15297 (2023) - 2022
- [j6]Gianni Franchi
One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification. IEEE Access 10: 7300-7312 (2022) - [j5]Natalia Díaz Rodríguez
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. Inf. Fusion 79: 58-83 (2022) - [j4]Adrien Bennetot
Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification. Knowl. Based Syst. 258: 109947 (2022) - [j3]Yufei Hu, Nacim Belkhir
Learning deep morphological networks with neural architecture search. Pattern Recognit. 131: 108893 (2022) - [c17]Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Ángel 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: 398 - [c16]Gianni Franchi
Latent Discriminant Deterministic Uncertainty. ECCV (12) 2022: 243-260 - [c15]Xuanlong Yu, Gianni Franchi, Emanuel Aldea:
On Monocular Depth Estimation and Uncertainty Quantification Using Classification Approaches for Regression. ICIP 2022: 1481-1485 - [i16]Rémi Kazmierczak, Gianni Franchi, Nacim Belkhir, Antoine Manzanera, David Filliat:
A study of deep perceptual metrics for image quality assessment. CoRR abs/2202.08692 (2022) - [i15]Xuanlong Yu, Gianni Franchi, Emanuel Aldea:
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression. CoRR abs/2202.12369 (2022) - [i14]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 abs/2203.01437 (2022) - [i13]Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat:
Latent Discriminant deterministic Uncertainty. CoRR abs/2207.10130 (2022) - [i12]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 abs/2209.14974 (2022) - [i11]Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi:
Packed-Ensembles for Efficient Uncertainty Estimation. CoRR abs/2210.09184 (2022) - 2021
- [c14]Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao:
Robust Semantic Segmentation with Superpixel-Mix. BMVC 2021: 158 - [c13]Xuanlong Yu, Gianni Franchi, Emanuel Aldea:
SLURP: Side Learning Uncertainty for Regression Problems. BMVC 2021: 191 - [i10]Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. CoRR abs/2104.11914 (2021) - [i9]Yufei Hu, Nacim Belkhir, Jesús Angulo, Angela Yao, Gianni Franchi:
Learning Deep Morphological Networks with Neural Architecture Search. CoRR abs/2106.07714 (2021) - [i8]Mai Lan Ha, Gianni Franchi, Emanuel Aldea, Volker Blanz:
Learning a Discriminant Latent Space with Neural Discriminant Analysis. CoRR abs/2107.06209 (2021) - [i7]Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao:
Reliable Semantic Segmentation with Superpixel-Mix. CoRR abs/2108.00968 (2021) - [i6]Xuanlong Yu, Gianni Franchi, Emanuel Aldea:
SLURP: Side Learning Uncertainty for Regression Problems. CoRR abs/2110.11182 (2021) - 2020
- [j2]Gianni Franchi
Deep morphological networks. Pattern Recognit. 102: 107246 (2020) - [c12]Gianni Franchi
TRADI: Tracking Deep Neural Network Weight Distributions. ECCV (17) 2020: 105-121 - [c11]Gianni Franchi
Tracking Hundreds of People in Densely Crowded Scenes With Particle Filtering Supervising Deep Convolutional Neural Networks. ICIP 2020: 2071-2075 - [i5]Gianni Franchi
One Versus all for deep Neural Network Incertitude (OVNNI) quantification. CoRR abs/2006.00954 (2020) - [i4]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification. CoRR abs/2012.02818 (2020)
2010 – 2019
- 2019
- [c10]Gianni Franchi
Crowd Behavior Characterization for Scene Tracking. AVSS 2019: 1-8 - [i3]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
TRADI: Tracking deep neural network weight distributions. CoRR abs/1912.11316 (2019) - 2018
- [c9]Gianni Franchi
Supervised Deep Kriging for Single-Image Super-Resolution. GCPR 2018: 638-649 - [c8]Mai Lan Ha, Gianni Franchi
Segmentation and Shape Extraction from Convolutional Neural Networks. WACV 2018: 1509-1518 - [i2]Gianni Franchi
Supervised Deep Kriging for Single-Image Super-Resolution. CoRR abs/1812.04042 (2018) - 2016
- [b1]Gianni Franchi:
Spatial machine learning applied to multivariate and multimodal images. (Machine learning spatial appliquée aux images multivariées et multimodales). PSL Research University, Paris, France, 2016 - [j1]Gianni Franchi
Morphological Principal Component Analysis for Hyperspectral Image Analysis. ISPRS Int. J. Geo Inf. 5(6): 83 (2016) - [c7]Gianni Franchi
Hyperspectral image classification with support vector machines on kernel distribution embeddings. ICIP 2016: 1898-1902 - [c6]Gianni Franchi
A deep spatial/spectral descriptor of hyperspectral texture using scattering transform. ICIP 2016: 3568-3572 - [i1]Gianni Franchi
Hyperspectral Image Classification with Support Vector Machines on Kernel Distribution Embeddings. CoRR abs/1605.09136 (2016) - 2015
- [c5]Gianni Franchi
Quantization of Hyperspectral Image Manifold Using Probabilistic Distances. GSI 2015: 406-414 - [c4]Gianni Franchi
Ordering on the Probability Simplex of Endmembers for Hyperspectral Morphological Image Processing. ISMM 2015: 410-421 - [c3]Gianni Franchi
Bagging Stochastic Watershed on Natural Color Image Segmentation. ISMM 2015: 422-433 - 2014
- [c2]Gianni Franchi
Spatially-Variant Area Openings for Reference-Driven Adaptive Contour Preserving Filtering. ICPR 2014: 1043-1048 - [c1]Gianni Franchi
Comparative study on morphological principal component analysis of hyperspectral images. WHISPERS 2014: 1-4
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-19 20:45 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: