| 2025 | CVPR | Bridging the Modality Gap: Training-free Adaptation of Vision-Language Models for Remote Sensing via Visual Prototypes. | Clment Barbier, Baptiste Abeloss, Stphane Herbin |
| 2025 | ICCV | Measuring and Addressing Information Leakage in Concept Bottleneck Models. | Raffael Schon, Baptiste Abeloos, Stphane Herbin |
| 2025 | ICML | Smoothing Continual Segmentation Oscillations with Latent Domain PPCA Decoder. | Marie-Ange Boum, Pierre Fournier, Dawa Derksen, Stphane Herbin |
| 2024 | CVPR | Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models. | Adrien Le-Coz, Houssem Ouertatani, Stphane Herbin, Faouzi Adjed |
| 2024 | ECAI | Interpretable Image Classification Through an Argumentative Dialog Between Encoders. | Dao Thauvin, Stphane Herbin, Wassila Ouerdane, Cline Hudelot |
| 2024 | ICLR | Optimal transport based adversarial patch to leverage large scale attack transferability. | Pol Labarbarie, Adrien Chan-Hon-Tong, Stphane Herbin, Milad Leyli-Abadi |
| 2024 | IGARSS | How to Efficiently Adapt Foundation Models to Remote Sensing for Object Detection? | Clment Barbier, Baptiste Abeloos, Stphane Herbin |
| 2024 | IGARSS | Continual Learning in Remote Sensing : Leveraging Foundation Models and Generative Classifiers to Mitigate Forgetting. | Marie-Ange Boum, Stphane Herbin, Pierre Fournier, Pierre Lassalle |
| 2022 | IJCAI | Benchmarking and deeper analysis of adversarial patch attack on object detectors. | Pol Labarbarie, Adrien Chan-Hon-Tong, Stphane Herbin, Milad Leyli-Abadi |
| 2022 | IJCAI | Leveraging generative models to characterize the failure conditions of image classifiers. | Adrien Le-Coz, Stphane Herbin, Faouzi Adjed |
| 2021 | BMVC | Pseudo-Labeling for Class Incremental Learning. | Alexis Lechat, Stphane Herbin, Frdric Jurie |
| 2020 | ICPR | Semi-Supervised Class Incremental Learning. | Alexis Lechat, Stphane Herbin, Frdric Jurie |
| 2018 | ACCV | Semantic Bottleneck for Computer Vision Tasks. | Maxime Bucher, Stphane Herbin, Frdric Jurie |
| 2016 | ECCV | Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classiffication. | Maxime Bucher, Stphane Herbin, Frdric Jurie |
| 2016 | ECCV | Hard Negative Mining for Metric Learning Based Zero-Shot Classification. | Maxime Bucher, Stphane Herbin, Frdric Jurie |
| 2015 | ACIVS | Robust Fusion of Trackers Using Online Drift Prediction. | Isabelle Leang, Stphane Herbin, Benot Girard, Jacques Droulez |
| 2015 | CVPR | Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning. | Cdric Le Barz, Nicolas Thome, Matthieu Cord, Stphane Herbin, Martial Sanfourche |
| 2015 | ICIP | Exemplar based metric learning for robust visual localization. | Cdric Le Barz, Nicolas Thome, Matthieu Cord, Stphane Herbin, Martial Sanfourche |
| 2015 | IGARSS | Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks. | Adrien Lagrange, Bertrand Le Saux, Anne Beaupre, Alexandre Boulch, Adrien Chan-Hon-Tong, Stphane Herbin, Hicham Randrianarivo, Marin Ferecatu |
| 2011 | ICIP | Context-driven moving object detection in aerial scenes with user input. | Christophe Guilmart, Stphane Herbin, Patrick Prez |
| 2004 | ICPR | Robust Multihypothesis Discrimination of Controlled I.I.D. Processes. | Stphane Herbin |
| 1998 | ECCV | Combining Geometric and Probabilistic Structure for Active Recognition of 3D Objects. | Stphane Herbin |
| 1996 | CVPR | Recognizing 3D Objects by Generating Random Actions. | Stphane Herbin |