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2020 – today
- 2026
[j11]Mouïn Ben Ammar
, Arturo Mendoza, Nacim Belkhir, Antoine Manzanera, Gianni Franchi:
Foundation models and Transformers for anomaly detection: A survey. Inf. Fusion 126: 103517 (2026)- 2025
- [j10]Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi:
Explainability and vision foundation models: A survey. Inf. Fusion 122: 103184 (2025) - [j9]Adrien Lafage, Gianni Franchi, Mathieu Barbier, David Filliat:
Robust trajectory forecasting in autonomous systems using mixtures of Student's T-distributions with T-DistNet. Pattern Recognit. 165: 111524 (2025) - [c30]Gianni Franchi, Nacim Belkhir, Dat Nguyen Trong, Guoxuan Xia, Andrea Pilzer:
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation. CVPR 2025: 8062-8072 - [c29]Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis:
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. ICLR 2025 - [c28]Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat:
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting. WACV 2025: 1682-1691 - [i45]Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi:
Explainability for Vision Foundation Models: A Survey. CoRR abs/2501.12203 (2025) - [i44]Sofiia Chorna, Kateryna Tarelkina, Eloïse Berthier, Gianni Franchi:
Concept-Based Mechanistic Interpretability Using Structured Knowledge Graphs. CoRR abs/2507.05810 (2025) - [i43]Mouïn Ben Ammar, Arturo Mendoza, Nacim Belkhir, Antoine Manzanera, Gianni Franchi:
Foundation Models and Transformers for Anomaly Detection: A Survey. CoRR abs/2507.15905 (2025) - [i42]Galadrielle Humblot-Renaux, Gianni Franchi, Sergio Escalera, Thomas B. Moeslund:
COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP. CoRR abs/2507.22576 (2025) - [i41]Gaetan Brison, Soobash Daiboo, Samy Aimeur, Awais Hussain Sani, Xi Wang, Gianni Franchi, Vicky Kalogeiton:
FakeParts: a New Family of AI-Generated DeepFakes. CoRR abs/2508.21052 (2025) - [i40]Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Goran Frehse, Gianni Franchi:
Enhancing Concept Localization in CLIP-based Concept Bottleneck Models. CoRR abs/2510.07115 (2025) - [i39]Firas Gabetni, Giuseppe Curci, Andrea Pilzer, Subhankar Roy, Elisa Ricci, Gianni Franchi:
Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers. CoRR abs/2510.18358 (2025) - [i38]Adrien Lafage, Olivier Laurent, Firas Gabetni, Gianni Franchi:
Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification. CoRR abs/2511.10282 (2025) - [i37]Alexandre Rocchi-Henry, Thomas Fel, Gianni Franchi:
A Geometric Unification of Concept Learning with Concept Cones. CoRR abs/2512.07355 (2025) - [i36]Joseph Hoche, Andrei Bursuc, David Brellmann, Gilles Louppe, Pavel Izmailov, Angela Yao, Gianni Franchi:
Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes. CoRR abs/2512.14177 (2025) - 2024
- [j8]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): 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) - [c27]Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea:
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. AAAI 2024: 6835-6843 - [c26]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 - [c25]Olivier Laurent, Emanuel Aldea, Gianni Franchi:
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors. ICLR 2024 - [c24]Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu, Antoine Manzanera, Gianni Franchi:
NECO: NEural Collapse Based Out-of-distribution detection. ICLR 2024 - [c23]Kai Xu, Rongyu Chen, Gianni Franchi, Angela Yao:
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement. ICLR 2024 - [c22]Matteo Farina, Gianni Franchi, Giovanni Iacca, Massimiliano Mancini, Elisa Ricci:
Frustratingly Easy Test-Time Adaptation of Vision-Language Models. NeurIPS 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 - [i35]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) - [i34]Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat:
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting. CoRR abs/2403.17678 (2024) - [i33]Matteo Farina, Gianni Franchi, Giovanni Iacca, Massimiliano Mancini, Elisa Ricci:
Frustratingly Easy Test-Time Adaptation of Vision-Language Models. CoRR abs/2405.18330 (2024) - [i32]Mingxuan Liu, Zhun Zhong, Jun Li, Gianni Franchi, Subhankar Roy, Elisa Ricci:
Organizing Unstructured Image Collections using Natural Language. CoRR abs/2410.05217 (2024) - [i31]Mouïn Ben Ammar, David Brellmann, Arturo Mendoza, Antoine Manzanera, Gianni Franchi:
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity. CoRR abs/2411.02184 (2024) - [i30]Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Anna Hedström, Patricia Delhomme, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi:
Benchmarking XAI Explanations with Human-Aligned Evaluations. CoRR abs/2411.02470 (2024) - [i29]Francesco Taioli, Edoardo Zorzi, Gianni Franchi, Alberto Castellini, Alessandro Farinelli, Marco Cristani, Yiming Wang:
Collaborative Instance Navigation: Leveraging Agent Self-Dialogue to Minimize User Input. CoRR abs/2412.01250 (2024) - [i28]Gianni Franchi, Dat Nguyen Trong, Nacim Belkhir, Guoxuan Xia, Andrea Pilzer:
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation. CoRR abs/2412.03178 (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, 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: 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, 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 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, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification. IEEE Access 10: 7300-7312 (2022) - [j5]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. Inf. Fusion 79: 58-83 (2022) - [j4]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: 109947 (2022) - [j3]Yufei Hu, Nacim Belkhir, Jesús Angulo, Angela Yao, Gianni Franchi:
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, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat:
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, 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 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, Amin Fehri, Angela Yao:
Deep morphological networks. Pattern Recognit. 102: 107246 (2020) - [c12]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
TRADI: Tracking Deep Neural Network Weight Distributions. ECCV (17) 2020: 105-121 - [c11]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: 2071-2075 - [i5]Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
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, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
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, Angela Yao, Andreas Kolb:
Supervised Deep Kriging for Single-Image Super-Resolution. GCPR 2018: 638-649 - [c8]Mai Lan Ha, Gianni Franchi, Michael Möller, Andreas Kolb, Volker Blanz:
Segmentation and Shape Extraction from Convolutional Neural Networks. WACV 2018: 1509-1518 - [i2]Gianni Franchi, Angela Yao, Andreas Kolb:
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, Jesús Angulo:
Morphological Principal Component Analysis for Hyperspectral Image Analysis. ISPRS Int. J. Geo Inf. 5(6): 83 (2016) - [c7]Gianni Franchi, Jesús Angulo, Dino Sejdinovic:
Hyperspectral image classification with support vector machines on kernel distribution embeddings. ICIP 2016: 1898-1902 - [c6]Gianni Franchi, Jesús Angulo:
A deep spatial/spectral descriptor of hyperspectral texture using scattering transform. ICIP 2016: 3568-3572 - [i1]Gianni Franchi, Jesús Angulo, Dino Sejdinovic:
Hyperspectral Image Classification with Support Vector Machines on Kernel Distribution Embeddings. CoRR abs/1605.09136 (2016) - 2015
- [c5]Gianni Franchi, Jesús Angulo:
Quantization of Hyperspectral Image Manifold Using Probabilistic Distances. GSI 2015: 406-414 - [c4]Gianni Franchi, Jesús Angulo:
Ordering on the Probability Simplex of Endmembers for Hyperspectral Morphological Image Processing. ISMM 2015: 410-421 - [c3]Gianni Franchi, Jesús Angulo:
Bagging Stochastic Watershed on Natural Color Image Segmentation. ISMM 2015: 422-433 - 2014
- [c2]Gianni Franchi, Jesús Angulo:
Spatially-Variant Area Openings for Reference-Driven Adaptive Contour Preserving Filtering. ICPR 2014: 1043-1048 - [c1]Gianni Franchi, Jesús Angulo:
Comparative study on morphological principal component analysis of hyperspectral images. WHISPERS 2014: 1-4
Coauthor Index
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