Gianni Franchi

90 papers A* 10A 7B 6C 2Journal 57Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Benchmarking XAI Explanations with Human-Aligned Evaluations. AAAI Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Anna Hedström, Patricia Delhomme, David Filliat, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi
2026	J	`jnl`	Enhancing Concept Localization in CLIP-based Concept Bottleneck Models. Trans. Mach. Learn. Res. Rémi Kazmierczak, Steve Azzolin, Goran Frehse, Eloïse Berthier, Gianni Franchi
2026	J	`jnl`	Foundation models and Transformers for anomaly detection: A survey. Inf. Fusion Mouïn Ben Ammar, Arturo Mendoza, Nacim Belkhir, Antoine Manzanera, Gianni Franchi
2025	J	`jnl`	A Geometric Unification of Concept Learning with Concept Cones. CoRR Alexandre Rocchi-Henry, Thomas Fel, Gianni Franchi
2025	—	`conf`	COOkeD: Ensemble-Based OOD Detection in the Era of Zero-Shot CLIP. ICCVW Galadrielle Humblot-Renaux, Gianni Franchi, Sergio Escalera, Thomas B. Moeslund
2025	J	`jnl`	COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP. CoRR Galadrielle Humblot-Renaux, Gianni Franchi, Sergio Escalera, Thomas B. Moeslund
2025	J	`jnl`	Concept-Based Mechanistic Interpretability Using Structured Knowledge Graphs. CoRR Sofiia Chorna, Kateryna Tarelkina, Eloïse Berthier, Gianni Franchi
2025	J	`jnl`	Enhancing Concept Localization in CLIP-based Concept Bottleneck Models. CoRR Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Goran Frehse, Gianni Franchi
2025	J	`jnl`	Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers. CoRR Firas Gabetni, Giuseppe Curci, Andrea Pilzer, Subhankar Roy, Elisa Ricci, Gianni Franchi
2025	J	`jnl`	Explainability and vision foundation models: A survey. Inf. Fusion Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi
2025	J	`jnl`	Explainability for Vision Foundation Models: A Survey. CoRR Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi
2025	J	`jnl`	FakeParts: a New Family of AI-Generated DeepFakes. CoRR Gaetan Brison, Soobash Daiboo, Samy Aimeur, Awais Hussain Sani, Xi Wang, Gianni Franchi, Vicky Kalogeiton
2025	J	`jnl`	Foundation Models and Transformers for Anomaly Detection: A Survey. CoRR Mouïn Ben Ammar, Arturo Mendoza, Nacim Belkhir, Antoine Manzanera, Gianni Franchi
2025	A	`conf`	Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting. WACV Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat
2025	J	`jnl`	Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes. CoRR Joseph Hoche, Andrei Bursuc, David Brellmann, Gilles Louppe, Pavel Izmailov, Angela Yao, Gianni Franchi
2025	J	`jnl`	Robust trajectory forecasting in autonomous systems using mixtures of Student's T-distributions with T-DistNet. Pattern Recognit. Adrien Lafage, Gianni Franchi, Mathieu Barbier, David Filliat
2025	J	`jnl`	Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification. CoRR Adrien Lafage, Olivier Laurent, Firas Gabetni, Gianni Franchi
2025	A*	`conf`	Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. ICLR Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis
2025	A*	`conf`	Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation. CVPR Gianni Franchi, Nacim Belkhir, Dat Nguyen Trong, Guoxuan Xia, Andrea Pilzer
2024	A*	`conf`	A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors. ICLR Olivier Laurent, Emanuel Aldea, Gianni Franchi
2024	J	`jnl`	Benchmarking XAI Explanations with Human-Aligned Evaluations. CoRR Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Anna Hedström, Patricia Delhomme, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi
2024	J	`jnl`	CLIP-QDA: An Explainable Concept Bottleneck Model. Trans. Mach. Learn. Res. Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi
2024	J	`jnl`	Collaborative Instance Navigation: Leveraging Agent Self-Dialogue to Minimize User Input. CoRR Francesco Taioli, Edoardo Zorzi, Gianni Franchi, Alberto Castellini, Alessandro Farinelli, Marco Cristani, Yiming Wang
2024	A*	`conf`	Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. AAAI Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea
2024	J	`jnl`	Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity. CoRR Mouïn Ben Ammar, David Brellmann, Arturo Mendoza, Antoine Manzanera, Gianni Franchi
2024	J	`jnl`	Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification. IEEE Trans. Pattern Anal. Mach. Intell. Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
2024	A*	`conf`	Frustratingly Easy Test-Time Adaptation of Vision-Language Models. NeurIPS Matteo Farina, Gianni Franchi, Giovanni Iacca, Massimiliano Mancini, Elisa Ricci
2024	J	`jnl`	Frustratingly Easy Test-Time Adaptation of Vision-Language Models. CoRR Matteo Farina, Gianni Franchi, Giovanni Iacca, Massimiliano Mancini, Elisa Ricci
2024	J	`jnl`	Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting. CoRR Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat
2024	A	`conf`	InfraParis: A multi-modal and multi-task autonomous driving dataset. WACV Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat
2024	A	`conf`	Learning to generate training datasets for robust semantic segmentation. WACV Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi
2024	A*	`conf`	Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. CVPR Gianni Franchi, Olivier Laurent, Maxence Leguéry, Andrei Bursuc, Andrea Pilzer, Angela Yao
2024	A*	`conf`	NECO: NEural Collapse Based Out-of-distribution detection. ICLR Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu, Antoine Manzanera, Gianni Franchi
2024	J	`jnl`	Organizing Unstructured Image Collections using Natural Language. CoRR Mingxuan Liu, Zhun Zhong, Jun Li, Gianni Franchi, Subhankar Roy, Elisa Ricci
2024	A*	`conf`	Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement. ICLR Kai Xu, Rongyu Chen, Gianni Franchi, Angela Yao
2024	J	`jnl`	Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation. CoRR Gianni Franchi, Dat Nguyen Trong, Nacim Belkhir, Guoxuan Xia, Andrea Pilzer
2024	J	`jnl`	Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. CoRR Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis
2023	J	`jnl`	A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors. CoRR Olivier Laurent, Emanuel Aldea, Gianni Franchi
2023	J	`jnl`	CLIP-QDA: An Explainable Concept Bottleneck Model. CoRR Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi
2023	J	`jnl`	Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. CoRR Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea
2023	J	`jnl`	How to effectively train an ensemble of Faster R-CNN object detectors to quantify uncertainty. CoRR Denis Mbey Akola, Gianni Franchi
2023	J	`jnl`	Improving CLIP Robustness with Knowledge Distillation and Self-Training. CoRR Clement Laroudie, Andrei Bursuc, Mai Lan Ha, Gianni Franchi
2023	J	`jnl`	InfraParis: A multi-modal and multi-task autonomous driving dataset. CoRR Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat
2023	J	`jnl`	Learning to Generate Training Datasets for Robust Semantic Segmentation. CoRR Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi
2023	J	`jnl`	Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. CoRR Gianni Franchi, Olivier Laurent, Maxence Leguéry, Andrei Bursuc, Andrea Pilzer, Angela Yao
2023	J	`jnl`	NECO: NEural Collapse Based Out-of-distribution detection. CoRR Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu, Antoine Manzanera, Gianni Franchi
2023	A*	`conf`	Packed Ensembles for efficient uncertainty estimation. ICLR Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi
2023	J	`jnl`	Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement. CoRR Kai Xu, Rongyu Chen, Gianni Franchi, Angela Yao
2023	—	`conf`	The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) 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
2023	J	`jnl`	The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR 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
2022	J	`jnl`	A study of deep perceptual metrics for image quality assessment. CoRR Rémi Kazmierczak, Gianni Franchi, Nacim Belkhir, Antoine Manzanera, David Filliat
2022	J	`jnl`	EXplainable Neural-Symbolic Learning ( Inf. Fusion Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
2022	J	`jnl`	Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification. Knowl. Based Syst. Adrien Bennetot, Gianni Franchi, Javier Del Ser, Raja Chatila, Natalia Díaz Rodríguez
2022	J	`jnl`	Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification. CoRR Adrien Bennetot, Gianni Franchi, Javier Del Ser, Raja Chatila, Natalia Díaz Rodríguez
2022	—	`conf`	Latent Discriminant Deterministic Uncertainty. ECCV (12) Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat
2022	J	`jnl`	Latent Discriminant deterministic Uncertainty. CoRR Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat
2022	J	`jnl`	Learning deep morphological networks with neural architecture search. Pattern Recognit. Yufei Hu, Nacim Belkhir, Jesús Angulo, Angela Yao, Gianni Franchi
2022	J	`jnl`	MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks. CoRR Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat
2022	A	`conf`	MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks. BMVC Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Ángel Tena, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat
2022	B	`conf`	On Monocular Depth Estimation and Uncertainty Quantification Using Classification Approaches for Regression. ICIP Xuanlong Yu, Gianni Franchi, Emanuel Aldea
2022	J	`jnl`	On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression. CoRR Xuanlong Yu, Gianni Franchi, Emanuel Aldea
2022	J	`jnl`	One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification. IEEE Access Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
2022	J	`jnl`	Packed-Ensembles for Efficient Uncertainty Estimation. CoRR Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi
2021	J	`jnl`	EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. CoRR Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
2021	J	`jnl`	Learning Deep Morphological Networks with Neural Architecture Search. CoRR Yufei Hu, Nacim Belkhir, Jesús Angulo, Angela Yao, Gianni Franchi
2021	J	`jnl`	Learning a Discriminant Latent Space with Neural Discriminant Analysis. CoRR Mai Lan Ha, Gianni Franchi, Emanuel Aldea, Volker Blanz
2021	J	`jnl`	Reliable Semantic Segmentation with Superpixel-Mix. CoRR Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao
2021	A	`conf`	Robust Semantic Segmentation with Superpixel-Mix. BMVC Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao
2021	A	`conf`	SLURP: Side Learning Uncertainty for Regression Problems. BMVC Xuanlong Yu, Gianni Franchi, Emanuel Aldea
2021	J	`jnl`	SLURP: Side Learning Uncertainty for Regression Problems. CoRR Xuanlong Yu, Gianni Franchi, Emanuel Aldea
2020	J	`jnl`	Deep morphological networks. Pattern Recognit. Gianni Franchi, Amin Fehri, Angela Yao
2020	J	`jnl`	Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification. CoRR Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
2020	J	`jnl`	One Versus all for deep Neural Network Incertitude (OVNNI) quantification. CoRR Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
2020	—	`conf`	TRADI: Tracking Deep Neural Network Weight Distributions. ECCV (17) Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
2020	B	`conf`	Tracking Hundreds of People in Densely Crowded Scenes With Particle Filtering Supervising Deep Convolutional Neural Networks. ICIP Gianni Franchi, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
2019	B	`conf`	Crowd Behavior Characterization for Scene Tracking. AVSS Gianni Franchi, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
2019	J	`jnl`	TRADI: Tracking deep neural network weight distributions. CoRR Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch
2018	A	`conf`	Segmentation and Shape Extraction from Convolutional Neural Networks. WACV Mai Lan Ha, Gianni Franchi, Michael Möller, Andreas Kolb, Volker Blanz
2018	—	`conf`	Supervised Deep Kriging for Single-Image Super-Resolution. GCPR Gianni Franchi, Angela Yao, Andreas Kolb
2018	J	`jnl`	Supervised Deep Kriging for Single-Image Super-Resolution. CoRR Gianni Franchi, Angela Yao, Andreas Kolb
2016	B	`conf`	A deep spatial/spectral descriptor of hyperspectral texture using scattering transform. ICIP Gianni Franchi, Jesús Angulo
2016	J	`jnl`	Hyperspectral Image Classification with Support Vector Machines on Kernel Distribution Embeddings. CoRR Gianni Franchi, Jesús Angulo, Dino Sejdinovic
2016	B	`conf`	Hyperspectral image classification with support vector machines on kernel distribution embeddings. ICIP Gianni Franchi, Jesús Angulo, Dino Sejdinovic
2016	J	`jnl`	Morphological Principal Component Analysis for Hyperspectral Image Analysis. ISPRS Int. J. Geo Inf. Gianni Franchi, Jesús Angulo
2016	—	`—`	Spatial machine learning applied to multivariate and multimodal images. (Machine learning spatial appliquée aux images multivariées et multimodales). Gianni Franchi
2015	C	`conf`	Bagging Stochastic Watershed on Natural Color Image Segmentation. ISMM Gianni Franchi, Jesús Angulo
2015	C	`conf`	Ordering on the Probability Simplex of Endmembers for Hyperspectral Morphological Image Processing. ISMM Gianni Franchi, Jesús Angulo
2015	—	`conf`	Quantization of Hyperspectral Image Manifold Using Probabilistic Distances. GSI Gianni Franchi, Jesús Angulo
2014	—	`conf`	Comparative study on morphological principal component analysis of hyperspectral images. WHISPERS Gianni Franchi, Jesús Angulo
2014	B	`conf`	Spatially-Variant Area Openings for Reference-Driven Adaptive Contour Preserving Filtering. ICPR Gianni Franchi, Jesús Angulo