Carlos Fernando Crispim

According to our database, Carlos Fernando Crispim authored at least 39 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Industrial object detection with multi-modal SSD: closing the gap between synthetic and real images.

Julia Cohen, Carlos Fernando Crispim Junior, Jean-Marc Chiappa, Laure Tougne Rodet

Multim. Tools Appl., January, 2024

HopInAndAction: a benchmark for action recognition in the cockpit of a self-driving car driving outdoors.

Tristan Alex-Garnier, Romain Guesdon, Laure Tougne Rodet, Carlos Fernando Crispim Junior

Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

2023

CDP-Sim: Similarity Metric Learning to Identify the Fake Copy Detection Patterns.

Hédi Zeghidi, Carlos Fernando Crispim Junior, Iuliia Tkachenko

Proceedings of the IEEE International Workshop on Information Forensics and Security, 2023

Leveraging Unsupervised and Self-Supervised Learning for Video Anomaly Detection.

Devashish Lohani, Carlos Fernando Crispim Junior, Quentin Barthélemy, Sarah Bertrand, Lionel Robinault, Laure Tougne Rodet

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Synthetic Driver Image Generation for Human Pose-Related Tasks.

Romain Guesdon, Carlos Fernando Crispim Junior, Laure Tougne Rodet

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

AutoExp: A Multidisciplinary, Multi-Sensor Framework to Evaluate Human Activities in Self-Driving Cars.

Carlos Fernando Crispim Junior, Romain Guesdon, Christophe Jallais, Florent Laroche, Stephanie Souche-Le Corvec, Laure Tougne Rodet

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Embedded plant recognition: a benchmark for low footprint deep neural networks.

Mohammed El Amine Sehaba, Carlos Fernando Crispim Junior, Laure Tougne Rodet

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Perimeter Intrusion Detection by Video Surveillance: A Survey.

Devashish Lohani, Carlos Fernando Crispim Junior, Quentin Barthélemy, Sarah Bertrand, Lionel Robinault, Laure Tougne

Sensors, 2022

Multitask Metamodel for Keypoint Visibility Prediction in Human Pose Estimation.

Romain Guesdon, Carlos Fernando Crispim Junior, Laure Tougne

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Unsupervised and Adaptive Perimeter Intrusion Detector.

Devashish Lohani, Carlos Fernando Crispim Junior, Quentin Barthélemy, Sarah Bertrand, Lionel Robinault, Laure Tougne Rodet

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

CTIS-Net: A Neural Network Architecture for Compressed Learning Based on Computed Tomography Imaging Spectrometers.

Clément Douarre, Carlos Fernando Crispim Junior, Anthony Gelibert, Gérald Germain, Laure Tougne, David Rousseau

IEEE Trans. Computational Imaging, 2021

Registering Unmanned Aerial Vehicle Videos in the Long Term.

Pierre Lemaire, Carlos Fernando Crispim Junior, Lionel Robinault, Laure Tougne

Sensors, 2021

Spatio-Temporal Convolutional Autoencoders for Perimeter Intrusion Detection.

Devashish Lohani, Carlos Fernando Crispim Junior, Quentin Barthélemy, Sarah Bertrand, Lionel Robinault, Laure Tougne

Proceedings of the Reproducible Research in Pattern Recognition, 2021

Training An Embedded Object Detector For Industrial Settings Without Real Images.

Julia Cohen, Carlos Fernando Crispim Junior, Jean-Marc Chiappa, Laure Tougne

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

DriPE: A Dataset for Human Pose Estimation in Real-World Driving Settings.

Romain Guesdon, Carlos Fernando Crispim Junior, Laure Tougne

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

CAD-based Learning for Egocentric Object Detection in Industrial Context.

Julia Cohen, Carlos Fernando Crispim Junior, Céline Grange-Faivre, Laure Tougne

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Semantic Segmentation Post-processing with Colorized Pairwise Potentials and Deep Edges.

Rémi Ratajczak, Carlos Fernando Crispim, Beatrice Fervers, Elodie Faure, Laure Tougne

Proceedings of the Tenth International Conference on Image Processing Theory, 2020

Semantic Segmentation Refinement with Deep Edge Superpixels to Enhance Historical Land Cover.

Rémi Ratajczak, Carlos Fernando Crispim Junior, Beatrice Fervers, Elodie Faure, Laure Tougne

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Patch-Based CNN Evaluation for Bark Classification.

Debaleena Misra, Carlos Fernando Crispim Junior, Laure Tougne

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Automatic Land Cover Reconstruction From Historical Aerial Images: An Evaluation of Features Extraction and Classification Algorithms.

Rémi Ratajczak, Carlos Fernando Crispim Junior, Elodie Faure, Beatrice Fervers, Laure Tougne

IEEE Trans. Image Process., 2019

Novel data augmentation strategies to boost supervised segmentation of plant disease.

Clément Douarre, Carlos Fernando Crispim Junior, Anthony Gelibert, Laure Tougne, David Rousseau

Comput. Electron. Agric., 2019

Efficient Bark Recognition in the Wild.

Rémi Ratajczak, Sarah Bertrand, Carlos Fernando Crispim Junior, Laure Tougne

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Pseudo-Cyclic Network for Unsupervised Colorization with Handcrafted Translation and Output Spatial Pyramids.

Rémi Ratajczak, Carlos Fernando Crispim Junior, Beatrice Fervers, Elodie Faure, Laure Tougne

Proceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents, 2019

Jitter-Free Registration for Unmanned Aerial Vehicle Videos.

Pierre Lemaire, Carlos Fernando Crispim Junior, Lionel Robinault, Laure Tougne

Proceedings of the Advances in Visual Computing, 2019

Toward An Unsupervised Colorization Framework for Historical Land Use Classification.

Rémi Ratajczak, Carlos Fernando Crispim Junior, Laure Tougne, Elodie Faure, Beatrice Fervers

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Recognition of Daily Activities by embedding hand-crafted features within a semantic analysis.

Francesco Verrini, Carlos Fernando Crispim Junior, Manuela Chessa, Fabio Solari, François Brémond

Proceedings of the IEEE International Conference on Image Processing, 2018

2017

Online Recognition of Daily Activities by Color-Depth Sensing and Knowledge Models.

Carlos Fernando Crispim Junior, Alvaro Gómez Uría, Carola Strumia, Michal Koperski, Alexandra König, Farhood Negin, Serhan Cosar, Anh-Tuan Nghiem, Duc Phu Chau, Guillaume Charpiat, François Brémond

Sensors, 2017

What is my rat doing? Behavior understanding of laboratory animals.

Carlos Fernando Crispim Junior, Fernando Mendes de Azevedo, José Marino Neto

Pattern Recognit. Lett., 2017

BEHAVE - Behavioral Analysis of Visual Events for Assisted Living Scenarios.

Jonas Vlasselaer, Carlos Fernando Crispim Junior, François Brémond, Anton Dries

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Semantic Event Fusion of Different Visual Modality Concepts for Activity Recognition.

Carlos Fernando Crispim Junior, Vincent Buso, Konstantinos Avgerinakis, Georgios Meditskos, Alexia Briassouli, Jenny Benois-Pineau, Ioannis Kompatsiaris, François Brémond

IEEE Trans. Pattern Anal. Mach. Intell., 2016

A hybrid framework for online recognition of activities of daily living in real-world settings.

Farhood Negin, Michal Koperski, Carlos Fernando Crispim, François Brémond, Serhan Cosar, Konstantinos Avgerinakis

Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016

Semi-supervised understanding of complex activities from temporal concepts.

Carlos Fernando Crispim, Michal Koperski, Serhan Cosar, François Brémond

Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016

2015

Combining Multiple Sensors for Event Detection of Older People.

Carlos Fernando Crispim Junior, Qiao Ma, Baptiste Fosty, Rim Romdhane, François Brémond, Monique Thonnat

Proceedings of the Health Monitoring and Personalized Feedback using Multimedia Data, 2015

2014

Uncertainty Modeling Framework for Constraint-Based Elementary Scenario Detection in Vision Systems.

Carlos Fernando Crispim Junior, François Brémond

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

Combining multiple sensors for event recognition of older people.

Carlos Fernando Crispim Junior, Baptiste Fosty, Rim Romdhane, Qiao Ma, François Brémond, Monique Thonnat

Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare, 2013

Activity recognition and uncertain knowledge in video scenes.

Rim Romdhane, Carlos Fernando Crispim, François Brémond, Monique Thonnat

Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013

Evaluation of a monitoring system for event recognition of older people.

Carlos Fernando Crispim, Vasanth Bathrinarayanan, Baptiste Fosty, Alexandra König, Rim Romdhane, Monique Thonnat, François Brémond

Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013

2012

ETHOWATCHER: validation of a tool for behavioral and video-tracking analysis in laboratory animals.

Carlos Fernando Crispim Junior, Cesar Nonato Pederiva, Ricardo Chessini Bose, Vitor Augusto Garcia, Cilene Lino-de-Oliveira, José Marino Neto

Comput. Biol. Medicine, 2012

2011

Uso de descritores morfológicos e cinemáticos na identificação automática de comportamentos de animais de laboratório.

Carlos Fernando Crispim Junior

PhD thesis, 2011