Recognizing 3D Objects by Generating Random Actions. - Stéphane Herbin (CVPR, 1996)

Combining Geometric and Probabilistic Structure for Active Recognition of 3D Objects. - Stéphane Herbin (ECCV (2), 1998)

Active Sampling Strategies for Multihyposthesis Testing. - Stéphane Herbin (EMMCVPR, 2003)

Robust Multihypothesis Discrimination of Controlled I.I.D. Processes. - Stéphane Herbin (ICPR (1), 2004)

Using hidden scale for salient object detection. - Bernard Chalmond; B. Francesconi; Stéphane Herbin (IEEE Trans. Image Process., 2006)

Semantic lattices for multiple annotation of images. - Anne-Marie Tousch; Stéphane Herbin; Jean-Yves Audibert (Multimedia Information Retrieval, 2008)

Flexible tracklet association for complex scenarios using a Markov Logic Network. - Valerie Leung; Stéphane Herbin (ICCV Workshops, 2011)

Context-driven moving object detection in aerial scenes with user input. - Christophe Guilmart; Stéphane Herbin; Patrick Pérez (ICIP, 2011)

Semantic hierarchies for image annotation: A survey. - Anne-Marie Tousch; Stéphane Herbin; Jean-Yves Audibert (Pattern Recognit., 2012)

Robust abandoned object detection integrating wide area visual surveillance and social context. - James M. Ferryman; David C. Hogg; Jan Sochman; Ardhendu Behera; José A. Rodríguez-Serrano; Simon F. Worgan; Longzhen Li; Valerie Leung; Murray Evans; Philippe Cornic; Stéphane Herbin; Stefan Schlenger; et al. (Pattern Recognit. Lett., 2013)

Robust Fusion of Trackers Using Online Drift Prediction. - Isabelle Leang; Stéphane Herbin; Benoît Girard 001; Jacques Droulez (ACIVS, 2015)

Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning. - Cédric Le Barz; Nicolas Thome; Matthieu Cord; Stéphane Herbin; Martial Sanfourche (CVPR Workshops, 2015)

Exemplar based metric learning for robust visual localization. - Cédric Le Barz; Nicolas Thome; Matthieu Cord; Stéphane Herbin; Martial Sanfourche (ICIP, 2015)

Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks. - Adrien Lagrange; Bertrand Le Saux; Anne Beaupère; Alexandre Boulch; Adrien Chan-Hon-Tong; Stéphane Herbin; Hicham Randrianarivo; Marin Ferecatu (IGARSS, 2015)

Tracking based sparse box proposal for time constraint detection in video stream. - Adrien Chan-Hon-Tong; Stéphane Herbin (IPTA, 2015)

Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classiffication. - Maxime Bucher; Stéphane Herbin; Frédéric Jurie (ECCV (5), 2016)

Hard Negative Mining for Metric Learning Based Zero-Shot Classification. - Maxime Bucher; Stéphane Herbin; Frédéric Jurie (ECCV Workshops (3), 2016)

Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification. - Maxime Bucher; Stéphane Herbin; Frédéric Jurie (CoRR, 2016)

Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest. - Manuel Campos-Taberner; Adriana Romero-Soriano; Carlo Gatta; Gustau Camps-Valls; Adrien Lagrange; Bertrand Le Saux; Anne Beaupère; Alexandre Boulch; Adrien Chan-Hon-Tong; Stéphane Herbin; Hicham Randrianarivo; Marin Ferecatu; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Generating Visual Representations for Zero-Shot Classification. - Frédéric Jurie; Maxime Bucher; Stéphane Herbin (ICCV Workshops, 2017)

Practical Scheduling of Computer Vision Functions. - Adrien Chan-Hon-Tong; Stéphane Herbin (VISIGRAPP (6: VISAPP), 2017)

Semantic Bottleneck for Computer Vision Tasks. - Maxime Bucher; Stéphane Herbin; Frédéric Jurie (ACCV (2), 2018)

On-line fusion of trackers for single-object tracking. - Isabelle Leang; Stéphane Herbin; Benoît Girard 001; Jacques Droulez (Pattern Recognit., 2018)

Towards Autonomous Perceptual Systems. (Vers des systèmes perceptifs autonomes). - Stéphane Herbin (2020)

Semi-Supervised Class Incremental Learning. - Alexis Lechat; Stéphane Herbin; Frédéric Jurie (ICPR, 2020)

Pseudo-Labeling for Class Incremental Learning. - Alexis Lechat; Stéphane Herbin; Frédéric Jurie (BMVC, 2021)

Benchmarking and deeper analysis of adversarial patch attack on object detectors. - Pol Labarbarie; Adrien Chan-Hon-Tong; Stéphane Herbin; Milad Leyli-Abadi (AISafety@IJCAI, 2022)

Leveraging generative models to characterize the failure conditions of image classifiers. - Adrien Le-Coz; Stéphane Herbin; Faouzi Adjed (AISafety@IJCAI, 2022)

Carpet-bombing patch: attacking a deep network without usual requirements. - Pol Labarbarie; Adrien Chan-Hon-Tong; Stéphane Herbin; Milad Leyli-Abadi (CoRR, 2022)

Knowledge Informed Sequential Scene Graph Verification Using VQA. - Dao Thauvin; Stéphane Herbin (ICCV (Workshops), 2023)

Explaining an Image Classifier with a Generative Model Conditioned by Uncertainty. - Adrien Le-Coz; Stéphane Herbin; Faouzi Adjed (PKDD/ECML Workshops (2), 2023)

Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models. - Adrien Le-Coz; Houssem Ouertatani; Stéphane Herbin; Faouzi Adjed (CVPR Workshops, 2024)

Interpretable Image Classification Through an Argumentative Dialog Between Encoders. - Dao Thauvin; Stéphane Herbin; Wassila Ouerdane; Céline Hudelot (ECAI, 2024)

Optimal transport based adversarial patch to leverage large scale attack transferability. - Pol Labarbarie; Adrien Chan-Hon-Tong; Stéphane Herbin; Milad Leyli-Abadi (ICLR, 2024)

How to Efficiently Adapt Foundation Models to Remote Sensing for Object Detection? - Clément Barbier; Baptiste Abeloos; Stéphane Herbin (IGARSS, 2024)

Continual Learning in Remote Sensing : Leveraging Foundation Models and Generative Classifiers to Mitigate Forgetting. - Marie-Ange Boum; Stéphane Herbin; Pierre Fournier; Pierre Lassalle (IGARSS, 2024)

Confidence Calibration of Classifiers with Many Classes. - Adrien Le-Coz; Stéphane Herbin; Faouzi Adjed (NeurIPS, 2024)

Bridging the Modality Gap: Training-free Adaptation of Vision-Language Models for Remote Sensing via Visual Prototypes. - Clément Barbier; Baptiste Abeloss; Stéphane Herbin (CVPR Workshops, 2025)