Ultra-Fast Skeleton Based on an Isotropic Fully Parallel Algorithm. - Antoine Manzanera; Thierry M. Bernard; Françoise J. Prêteux; Bernard Longuet (DGCI, 1999)

Medial Faces from a Concise 3D Thinning Algorithm. - Antoine Manzanera; Thierry M. Bernard; Françoise J. Prêteux; Bernard Longuet (ICCV, 1999)

Improved Low Complexity Fully Parallel Thinning Algorithm. - Thierry M. Bernard; Antoine Manzanera (ICIAP, 1999)

n-dimensional skeletonization: a unified mathematical framework. - Antoine Manzanera; Thierry M. Bernard; Françoise J. Prêteux; Bernard Longuet (J. Electronic Imaging, 2002)

A morphological dominant points detection and its cellular implementation. - Julien C. Richefeu; Antoine Manzanera (ISSPA (2), 2003)

Metrical properties of a collection of 2D parallel thinning algorithms. - Antoine Manzanera; Thierry M. Bernard (Electron. Notes Discret. Math., 2003)

A New Hybrid differential filter for Motion Detection. - Julien C. Richefeu; Antoine Manzanera (ICCVG, 2004)

A Robust and Computationally Efficient Motion Detection Algorithm Based on Sigma-Delta Background Estimation. - Antoine Manzanera; Julien C. Richefeu (ICVGIP, 2004)

Automatic Design of Vision-Based Obstacle Avoidance Controllers Using Genetic Programming. - Renaud Barate; Antoine Manzanera (Artificial Evolution, 2007)

Sigma-Delta Background Subtraction and the Zipf Law. - Antoine Manzanera (CIARP, 2007)

Ultra Fast Grey Scale Face Detection Using Vector SIMD Programming. - Olivier Vermeulen; Antoine Manzanera; Lionel Lacassagne (SITIS, 2007)

A new motion detection algorithm based on Sigma-Delta background estimation. - Antoine Manzanera; Julien C. Richefeu (Pattern Recognit. Lett., 2007)

Generalization performance of vision based controllers for mobile robots evolved with genetic programming. - Renaud Barate; Antoine Manzanera (GECCO, 2008)

Evolving Vision Controllers with a Two-Phase Genetic Programming System Using Imitation. - Renaud Barate; Antoine Manzanera (SAB, 2008)

Image Characterization from Statistical Reduction of Local Patterns. - Philippe Guermeur; Antoine Manzanera (CIARP, 2009)

Motion detection: Fast and robust algorithms for embedded systems. - Lionel Lacassagne; Antoine Manzanera; Antoine Dupret (ICIP, 2009)

Evolution of visual controllers for obstacle avoidance in mobile robotics. - Renaud Barate; Antoine Manzanera (Evol. Intell., 2009)

High performance motion detection: some trends toward new embedded architectures for vision systems. - Lionel Lacassagne; Antoine Manzanera; Julien Denoulet; Alain Mérigot (J. Real Time Image Process., 2009)

Ground-plane classification for robot navigation: Combining multiple cues toward a visual-based learning system. - Tobias Low; Antoine Manzanera (ICARCV, 2010)

Local Jet Based Similarity for NL-Means Filtering. - Antoine Manzanera (ICPR, 2010)

Local Jet Feature Space Framework for Image Processing and Representation. - Antoine Manzanera (SITIS, 2011)

En mouvement, du modèle à la puce : Pour des systèmes de vision polyvalents et performants. - Antoine Manzanera (2012)

Real Time Semi-dense Point Tracking. - Matthieu Garrigues; Antoine Manzanera (ICIAR (1), 2012)

Motion Trend Patterns for Action Modelling and Recognition. - Thanh Phuong Nguyen 001; Antoine Manzanera; Matthieu Garrigues (CAIP (1), 2013)

Revisiting LBP-Based Texture Models for Human Action Recognition. - Thanh Phuong Nguyen 001; Antoine Manzanera; Ngoc-Son Vu; Matthieu Garrigues (CIARP (2), 2013)

Action recognition using bag of features extracted from a beam of trajectories. - Thanh Phuong Nguyen 001; Antoine Manzanera (ICIP, 2013)

Incorporating Two First Order Moments into LBP-Based Operator for Texture Categorization. - Thanh Phuong Nguyen 001; Antoine Manzanera (ACCV Workshops (1), 2014)

Video++, a modern image and video processing C++ framework. - Matthieu Garrigues; Antoine Manzanera (DASIP, 2014)

Impact of Topology-Related Attributes from Local Binary Patterns on Texture Classification. - Thanh Phuong Nguyen 001; Antoine Manzanera; Walter G. Kropatsch (ECCV Workshops (2), 2014)

Representing activities with layers of velocity statistics for multiple human action recognition in surveillance applications. - Fabio Martínez; Antoine Manzanera; Eduardo Romero 001 (Video Surveillance and Transportation Imaging Applications, 2014)

From local descriptors to holistic models: A general framework embedding video processing and object representation. - Antoine Manzanera (IPTA, 2014)

Spatial Motion Patterns: Action Models from Semi-Dense Trajectories. - Thanh Phuong Nguyen 001; Antoine Manzanera; Matthieu Garrigues; Ngoc-Son Vu (Int. J. Pattern Recognit. Artif. Intell., 2014)

Noise tolerant descriptor for texture classification. - Thanh Phuong Nguyen 001; Antoine Manzanera (IPTA, 2015)

A versatile object tracking algorithm combining Particle Filter and Generalised Hough Transform. - Antoine Tran; Antoine Manzanera (IPTA, 2015)

A Gaussian Mixture Representation of Gesture Kinematics for On-Line Sign Language Video Annotation. - Fabio Martínez; Antoine Manzanera; Michèle Gouiffès; Annelies Braffort (ISVC (2), 2015)

Fast growing hough forest as a stable model for object detection. - Antoine Tran; Antoine Manzanera (IPTA, 2016)

Action-centric Polar Representation of Motion Trajectories for Online Action Recognition. - Fabio Martínez; Antoine Manzanera; Michèle Gouiffès; Thanh Phuong Nguyen 001 (VISIGRAPP (4: VISAPP), 2016)

A coronary artery segmentation method based on multiscale analysis and region growing. - Asma Kerkeni; Asma Ben Abdallah; Antoine Manzanera; Mohamed Hedi Bedoui (Comput. Medical Imaging Graph., 2016)

Binary Distance Transform to Improve Feature Extraction. - Mariane Barros Neiva; Antoine Manzanera; Odemir Martinez Bruno (CoRR, 2016)

Line and circle detection using dense one-to-one Hough transforms on greyscale images. - Antoine Manzanera; Thanh Phuong Nguyen 001; Xiaolei Xu (EURASIP J. Image Video Process., 2016)

Statistical binary patterns for rotational invariant texture classification. - Thanh Phuong Nguyen 001; Ngoc-Son Vu; Antoine Manzanera (Neurocomputing, 2016)

Video Extruder: a semi-dense point tracker for extracting beams of trajectories in real time. - Matthieu Garrigues; Antoine Manzanera; Thierry M. Bernard (J. Real Time Image Process., 2016)

Topological Attribute Patterns for texture recognition. - Thanh Phuong Nguyen 001; Antoine Manzanera; Walter G. Kropatsch; Xuan Son Nguyen (Pattern Recognit. Lett., 2016)

Mixing Hough and Color Histogram Models for Accurate Real-Time Object Tracking. - Antoine Tran; Antoine Manzanera (CAIP (1), 2017)

Multi range real-time depth inference from a monocular stabilized footage using a fully convolutional neural network. - Clement Pinard; Laure Chevalley; Antoine Manzanera; David Filliat (ECMR, 2017)

The Visual Object Tracking VOT2017 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomas Vojir; Gustav Häger; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ICCV Workshops, 2017)

Fast Semi Dense Epipolar Flow Estimation. - Matthieu Garrigues; Antoine Manzanera (WACV, 2017)

Spatio-temporal multi-scale motion descriptor from a spatially-constrained decomposition for online action recognition. - Fabio Martínez; Antoine Manzanera; Eduardo Romero 001 (IET Comput. Vis., 2017)

Bio-Inspired Perception Sensor (BIPS) Concept Analysis for Embedded Applications. - Louise Sarrabezolles; Antoine Manzanera; Nicolas Hueber (CIARP, 2018)

Learning Structure-from-Motion from Motion. - Clément Pinard; Laure Chevalley; Antoine Manzanera; David Filliat (ECCV Workshops (3), 2018)

Efficient Line Tracker in the Parameter Space based on One-to-one Hough Transform. - Yannick Wend Kuni Zoetgnandé; Antoine Manzanera (VISIGRAPP (4: VISAPP), 2018)

End-to-end depth from motion with stabilized monocular videos. - Clement Pinard; Laure Chevalley; Antoine Manzanera; David Filliat (CoRR, 2018)

Learning structure-from-motionfrom motion. - Clement Pinard; Laure Chevalley; Antoine Manzanera; David Filliat (CoRR, 2018)

A Fractal-Based Approach to Network Characterization Applied to Texture Analysis. - Lucas Correia Ribas; Antoine Manzanera; Odemir M. Bruno (CAIP (1), 2019)

Naturally Constrained Online Expectation Maximization. - Daniela Pamplona; Antoine Manzanera (ICPR, 2020)

Does it work outside this benchmark? Introducing the Rigid Depth Constructor tool, depth validation dataset construction in rigid scenes for the masses. - Clément Pinard; Antoine Manzanera (CoRR, 2021)

A compact and recursive Riemannian motion descriptor for untrimmed activity recognition. - Fabio Martínez Carrillo; Michèle Gouiffès; Gustavo Garzón Villamizar; Antoine Manzanera (J. Real Time Image Process., 2021)

Hyperparameter Optimization of Deep Learning Models for EEG-Based Vigilance Detection. - Souhir Khessiba; Ahmed Ghazi Blaiech; Antoine Manzanera; Khaled Ben Khalifa; Asma Ben Abdallah; Mohamed Hédi Bedoui (ICCCI (CCIS Volume), 2022)

An Oculomotor Digital Parkinson Biomarker from a Deep Riemannian Representation. - Juan A. Olmos; Antoine Manzanera; Fabio Martínez (ICPRAI (1), 2022)

Learning graph representation with Randomized Neural Network for dynamic texture classification. - Lucas Correia Ribas; Jarbas Joaci de Mesquita Sá Junior; Antoine Manzanera; Odemir M. Bruno (Appl. Soft Comput., 2022)

A multimodal Parkinson quantification by fusing eye and gait motion patterns, using covariance descriptors, from non-invasive computer vision. - John Archila; Antoine Manzanera; Fabio Martínez (Comput. Methods Programs Biomed., 2022)

A study of deep perceptual metrics for image quality assessment. - Rémi Kazmierczak; Gianni Franchi; Nacim Belkhir; Antoine Manzanera; David Filliat (CoRR, 2022)

Improving Knee Osteoarthritis Classification with Markerless Pose Estimation and STGCN Model. - Souhir Khessiba; Ahmed Ghazi Blaiech; Asma Ben Abdallah; Rim Grassa; Antoine Manzanera; Mohamed Hédi Bedoui (MMSP, 2023)

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions. - Marwane Hariat; Antoine Manzanera; David Filliat (WACV, 2023)

Does it work outside this benchmark? Introducing the rigid depth constructor tool. - Clément Pinard; Antoine Manzanera (Multim. Tools Appl., 2023)

A Novel Hybrid Grid Search and Tree Parzen Estimator for Deep Learning Hyperparameters Optimization. - Souhir Khessiba; Ahmed Ghazi Blaiech; Asma Ben Abdallah; Antoine Manzanera; Khaled Ben Khalifa; Mohamed Hédi Bedoui (AICCSA, 2024)

A Mixed Audio-Video SPD Network for Online Classification of Parkinsonian Speech Patterns. - John Archila; Antoine Manzanera; Fabio Martínez (IBERAMIA, 2024)

NECO: NEural Collapse Based Out-of-distribution detection. - Mouïn Ben Ammar; Nacim Belkhir; Sebastian Popescu; Antoine Manzanera; Gianni Franchi (ICLR, 2024)

Estimating Polyp Size From a Single Colonoscopy Image Using a Shape-From-Shading Model. - Josué Ruano; Diego Bravo; Diana Giraldo; Martín Gómez; Fabio A. González 001; Antoine Manzanera; Eduardo Romero 001 (ISBI, 2024)

InfraParis: A multi-modal and multi-task autonomous driving dataset. - Gianni Franchi; Marwane Hariat; Xuanlong Yu; Nacim Belkhir; Antoine Manzanera; David Filliat (WACV, 2024)

Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images. - Josué Ruano; Martín Gómez; Eduardo Romero 001; Antoine Manzanera (Comput. Medical Imaging Graph., 2024)

Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity. - Mouïn Ben Ammar; David Brellmann; Arturo Mendoza; Antoine Manzanera; Gianni Franchi (CoRR, 2024)

Riemannian SPD learning to represent and characterize fixational oculomotor Parkinsonian abnormalities. - Juan A. Olmos; Antoine Manzanera; Fabio Martínez (Pattern Recognit. Lett., 2024)

Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks. - Marwane Hariat; Antoine Manzanera; David Filliat (CVPR, 2025)

A multimodal gait and ocular geometric representation to generate a Parkinson progression report. - John Archila; Ivan Peña; Luis Fernando Celis; Juan A. Olmos; Antoine Manzanera; Fabio Martínez (Eng. Appl. Artif. Intell., 2025)

Geometric multimodal learning to support prostate cancer diagnosis on limited and multicentric bi-parametric MRI data. - Juan A. Olmos; Antoine Manzanera; Fabio Martínez (Neural Comput. Appl., 2025)

Learning a geometric deep representation to classify Parkinson smooth pursuit patterns. - Luis Fernando Celis; Juan A. Olmos; Antoine Manzanera; Fabio Martínez (Pattern Anal. Appl., 2025)

Foundation models and Transformers for anomaly detection: A survey. - Mouïn Ben Ammar; Arturo Mendoza; Nacim Belkhir; Antoine Manzanera; Gianni Franchi (Inf. Fusion, 2026)