Publications

You can find on Google scholar another list of publications that may be more up to date!

International journals

1. H. Chu, C. Li, H. Wang, J. Wang, Y. Tai,  L. Zhou, F. Yang, Y. Benezeth,  MTSA-Net: a multiscale time self-attention network for ship radiated self-noise reduction, Ocean Engineering, Elsevier, 2024

2. H. Chu , C. Li , H. Wang , J. Wang , Y. Tai , Y. Zhang , F. Yang , Y. Benezeth, A deep-learning based high-gain method for underwater acoustic signal detection in intensity fluctuation environments, Applied Acoustics, Elsevier, 2023 (pdf).

3. Y. Bi , C. Li , Y. Benezeth, F. Yang, A RTL Implementation of Heterogeneous Machine Learning Network for French Computer Assisted Pronunciation Training, Applied Sciences, 2023 (pdf).

4. D. Botina-Monsalve, Y. Benezeth, J. Miteran, Performance analysis of remote photoplethysmography deep filtering using long short-term memory neural network, Biomed Eng Online, Springer Nature, 2022, (pdf)

5. F. Parra, Y. Benezeth, F. Yang, Automatic Assessment of Emotion Dysregulation in American, French, and Tunisian Adults and New Developments in Deep Multimodal Fusion: Cross-sectional Study, Journal of Medical Internet Research, 2022 (pdf)

6. R. Macwan, Y. Benezeth, A. Mansouri, "Generalized Eigenvalue Decomposition Applied to Estimation of Spatial rPPG Distribution of Skin", Journal of Mathematical Imaging and Vision, Springer, 2021. (pdf, code)

7. R. Meziati Sabour, Y. Benezeth, P. De Oliveira, J. Chappé, F. Yang. "UBFC-Phys: A Multimodal Database For Psychophysiological Studies Of Social Stress", IEEE Transactions on Affective Computing, 2021. (pdf, project webpage, dataset)

8. T. Bazin, A. Krebs, A. Jobart-Malfait, V. Camilo, V. Michel, Y Benezeth, F. Marzani, E. Touati, D. Lamarque, "Multimodal imaging as optical biopsy system for gastritis diagnosis in humans, and input of the mouse model", EBioMedicine, Elsevier, 2021 (pdf).

9. Y. Bi, C. Li, Y. Benezeth, F. Yang, "Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training", PLoS One, 2021 (pdf).

10. S. Bobbia, R. Macwan, Y. Benezeth, K. Nakamura, R. Gomez, J. Dubois. "Iterative Boundaries implicit Identification for superpixels Segmentation: a real-time approach". IEEE Access, 2021. (pdf)

11. D. Luguern, R. Macwan, Y. Benezeth, V. Moser,  A. Dunbar, F. Braun, A. Lemkaddem, J. Dubois, Wavelet Variance Maximization: A contactless respiration rate estimation method based on remote photoplethysmography, Biomedical Signal Processing and Control, Elsevier, 2021 (pdf).

12. T. Bazin, S. Ernesto Martinez-Herrera, A. Jobart-Malfait, Y. Benezeth, M. Boffety, C. Julié, J.-F. Emile, V. Michel, F. Goudail, E. Touati, F. Marzani, D. Lamarque,  Multispectral imaging detects gastritis consistently in mouse model and in humans, Scientific Reports, Nature, 2020 (pdf)

13. P. Li, Y. Benezeth, R. Macwan, K. Nakamura, R. Gomez, C. Li, F. Yang, Video-Based Pulse Rate Variability Measurement Using Periodic Variance Maximization and Adaptive Two-Window Peak Detection. Sensors, 2020 (pdf)

14. A. Krebs, Y. Benezeth, F. Marzani, Intrinsic RGB and multispectral images recovery by independent quadratic programming,  PeerJ Computer Science, 2020 (pdf).

15. A. Krebs, Y. Benezeth, F. Marzani, Intrinsic image decomposition as two independent deconvolution problems, Signal Processing: Image Communication, Elsevier, 2020 (pdf).

16. A. Krebs, Y. Benezeth, T. Bazin, F. Marzani, D. Lamarque ,  Pre-cancerous stomach lesions detections with Multispectral-augmented endoscopic prototype,  Applied Sciences, 2020 (pdf).

17. F. Parra, S. Scherer, Y. Benezeth, P. Tsvetanova, S. Tereno, Development and cross-cultural evaluation of a scoring algorithm for the Biometric Attachment Test: Overcoming the challenges of multimodal fusion with “small data”, IEEE Transactions on Affective Computing, 2019 (pdf).

18. R. Macwan, Y. Benezeth, A. Mansouri. Heart rate estimation using remote photoplethysmography with multi-objective optimization. Biomedical Signal Processing and Control, Elsevier, 2019 (pdf).  

19. R. Macwan, Y. Benezeth, A. Mansouri, Remote photoplethysmography with constrained ICA using periodicity and chrominance constraints, BioMedical Engineering OnLine, Springer, 2018 (pdf).

20. C. Li, Y. Benezeth, K. Nakamura, R. Gomez, F. Yang, “A robust multispectral palmprint matching algorithm and its evaluation for FPGA applications”, Journal of Systems Architecture, Elsevier, 2018 (pdf).

21. C. Li, Y. Bi, Y. Benezeth, D. Ginhac, F. Yang, High-level Synthesis for FPGAs: Code optimisation strategies for real-time image processing , Journal of Real-Time Image Processing, Springer, 2018.

22. S. Bobbia, R. Macwan, Y. Benezeth, A. Mansouri, J. Dubois, Unsupervised skin tissue segmentation for remote photoplethysmography, Pattern Recognition Letters, Elsevier, 2017. (pdf)

23. M. Ambard, Y. Benezeth, P. Pfister, Mobile video-to-audio transducer and motion detection for sensory substitution,  Frontiers in ICT, 2015.  (pdf)

24. S.-E. Martinez-Herrera, Y. Benezeth, M. Boffety, J.-F. Emile, F. Marzani, D. Lamarque, F. Goudail, Identification of precancerous lesions by multispectral gastroendoscopy, Signal, Image and Video Processing, Springer, 2015.

25. C. Li, V. Brost, Y. Benezeth, F. Marzani, F. Yang, Design and evaluation of a Parallel and Optimized Light-Tissue Interaction based method for fast skin lesion assessment,  Journal of Real-Time Image Processing, Springer, 2015. (pdf)

26. G. Lozano-Vega, Y. Benezeth, F. Marzani and F. Boochs, Modular Method of Detection, Localization and Counting of Mutliple-Taxon Pollen Apertures Using Bag of Words, Journal of Electronic Imaging, SPIE, 2014. (pdf)

27. R. Jolivot, Y. Benezeth, F. Marzani, Skin Parameter Map Retrieval from a Dedicated Multispectral Imaging System Applied to Dermatology/Cosmetology, International Journal of Biomedical Imaging, 2013. (pdf)

28. J. Galeano, R. Jolivot, F. Marzani, Y. Benezeth, Unmixing of human skin optical reflectance maps by Non-negative Matrix Factorization algorithm, Biomedical Signal Processing and Control, Elsevier, vol. 8 (2), pp. 169-175, 2013. (pdf)

29. D. Brulin, Y. Benezeth, E. Courtial, Posture Recognition Based on Fuzzy Logic for Home Monitoring of the Elderly, IEEE Transactions on Information Technology in Biomedicine, , vol. 16 (5), pp. 974-982, 2012.  (pdf)

30. Y. Benezeth, P.-M. Jodoin and V. Saligrama, Abnormality detection using low-level co-occurring events, Pattern Recognition Letters, Elsevier, vol. 32 (3), pp. 423-431, 2011. (pdf)

31. Y. Benezeth, H. Laurent, B. Emile, C. Rosenberger, Vision-Based System for Human Detection and Tracking in Indoor Environment, International Journal of Social Robotics, Springer, Special issue on: People Detection and Tracking, vol. 2 (1), pp. 41-52, 2010.  (pdf)

32. Y. Benezeth, H. Laurent, B. Emile, C. Rosenberger, Towards a sensor for detecting human presence and characterizing activity, Energy and Buildings, Elsevier, vol. 43(2-3), pp. 305-314, 2011.  (pdf)

33. Y. Benezeth, P.-M. Jodoin, B. Emile, H. Laurent, C. Rosenberger, Comparative study of background subtraction algorithms, Journal of Electronic Imaging, SPIE, vol. 19, 2010.  (pdf)

Scientific Book chapters

1. O. Zenteno, A. Krebs, S. Treuillet, Y. Lucas, Y. Benezeth, et al. Spatial and Spectral Calibration of a Multispectral-Augmented Endoscopic Prototype. Communications in Computer and Information Science, Springer, pp.262-280, ISBN 978-3-030-26755-1, 2019.

2. Y. Benezeth, P.-M. Jodoin, V. Saligrama, Modeling Patterns of Activity and Detecting Abnormal Events with Low-level Co-occurrences, Distributed Video Sensor Networks, Springer, ISBN: 978-0-85729-126-4, pp. 137-148, 2011.  (pdf)

International conferences and workshops

1. I. W. Sanou, J. Baderot, A. Hallal, M. Grould, Y. Benezeth, S. Bricq, F. Marzani, S. Martinez, J. Foucher, Deep learning aided tool for fast and accurate segmentation of multi-part semiconductor features, Metrology, Inspection, and Process Control, SPIE, 2024.

2. I. W. Sanou, J. Barderot, Y. Benezeth, S. Bricq, F. Marzani, S. Martinez, J. Foucher, Semi-automatic tools for nanoscale metrology and annotations for Deep Learning automation on Electron Microscopy images, QCAV 2023.

3. H. Rafi, Y. Benezeth, P. Reynaud, E. Arnoux, F. Yang Song, C. Demonceaux, Personalization of AI Models Based on Federated Learning for Driver Stress Monitoring, European Conference on Computer Vision workshops on in-vehicule sensing and monitoring workshops (ECCV workshops), 2022.

   • best paper award

   • best presentation award

4. C. Plateau–Holleville, Y. Benezeth, “Class-aware data augmentation by GAN specialization to improve endoscopic images classification”, IEEE EMBS international conference on Biomedical Health Informatics (BHI), 2022. (pdf)

5. D. Botina-Monsalve, Y. Benezeth, J. Mitéran, RTrPPG: An Ultra Light 3DCNN for Real-Time Remote Photoplethysmography IEEE Conference on Computer Vision and Pattern Recognition workshops Computer Vision for Physiological Measurement (CVPR workshops), 2022. (pdf)

6. R. Meziati Sabour, Y. Benezeth, Gated Recurrent Unit-Based RNN for Remote Photoplethysmography Signal Segmentation, EEE Conference on Computer Vision and Pattern Recognition workshops Computer Vision for Physiological Measurement (CVPR workshops), 2022. (pdf)

7. S. Perche, D. Botina, Y. Benezeth, K. Nakamura, R. Gomez, J. Miteran, Data-Augmentation for Deep Learning Based Remote Photoplethysmography Methods, IEEE International Conference on e-Health and Bioengineering (EHB), 2021. (pdf)

8. K. Ansari, A. Krebs, Y. Benezeth, F. Marzani, Estimating intrinsic image from successive images by solving underdetermined and overdetermined systems of the dichromatic model, IEEE International Conference on Machine Vision & Image Processing (MVIP), 2020.

9. D. Luguern and S. Perche and Y. Benezeth and V. Moser and L.A. Dunbar and F. Braun and A. Lemkaddem and K. Nakamura and R. Gomez and J. Dubois, An Assessment of Algorithms to Estimate Respiratory Rate from the Remote Photoplethysmogram, IEEE Conf. on Computer Vision and Pattern Recognition Workshops (CVPR), 2020 (pdf). 

10. D. Luguern and Y. Benezeth and V. Moser and L.A. Dunbar and F. Braun and A. Lemkaddem and K. Nakamura and R. Gomez and J. Dubois, Remote photoplethysmography combining color channels with SNR maximization for respiratory rate assessment, International Symposium on Medical Information Communication Technology (ISMICT), 2020 (pdf)

11. D. Botina-Monsalve, Y. Benezeth, R. Macwan, P. Pierrart, F. Parra, K. Nakamura, R. Gomez, J. Miteran, Long Short-Term Memory Deep-Filter in Remote Photoplethysmography, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020 (pdf).

12. P. Li, Y. Benezeth, K. Nakamura, R. Gomez, C. Li, et al. An Improvement for Video-based Heart Rate Variability Measurement. IEEE 4th International Conference on Signal and Image Processing (ICSIP), 2019 (pdf),

13. R. Cendre, A. Mansouri, Yannick Benezeth, F. Marzani, J-L. Perrot, et al.. Two Schemes for Automated Diagnosis of Lentigo on Confocal Microscopy Images. IEEE 4th International Conference on Signal and Image Processing (ICSIP), 2019 (pdf).

14. R. Meziati Sabour, Y. Benezeth, F. Marzani, K. Nakamura, R. Gomez, F. Yang, Emotional State Classification using Pulse Rate Variability, IEEE International Conference on Signal and Image Processing (ICSIP), 2019 (pdf).

15. K. N. El Houda Slimani, Y. Benezeth, F. Souami. Learning Bag of Spatio-Temporal Features for Human Interaction Recognition. 12th International Conference on Machine Vision (ICMV),  2019 (pdf).

16. R. Belaiche, R. Meziati Sabour, C. Migniot, Y. Benezeth, D. Ginhac, K. Nakamura, R. Gomez, F. Yang, Emotional State Recognition with Micro-expressions and Pulse Rate Variability. International Conference on Image Analysis and Processing (ICIAP), 2019 (pdf).

17. Y. Benezeth, S. Bobbia, K. Nakamura, R. Gomez, J. Dubois. Probabilistic Signal Quality Metric for Reduced Complexity Unsupervised Remote Photoplethysmography. IEEE International Symposium on Medical Information and Communication Technology (ISMICT), 2019. (pdf) 

18. P. Li, Y. Benezeth, K. Nakamura, R. Gomez, F. Yang. Model-based Region of Interest Segmentation for Remote Photoplethysmography, International Conference on Computer Vision Theory and Applications (VISAPP), 2019. (pdf)

19. A. Krebs, V. Camilo, E. Touati, Y. Benezeth, V. Michel, G. Jouvion, F. Yang, D. Lamarque, F. Marzani, Detection of H. pylori induced gastric inflammation by diffuse reflectance analysis. IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2018 (pdf).

20. P. Li, Y. Benezeth, K. Nakamura, R. Gomez, C. Li, F. Yang, Comparison of region of interest segmentation methods for video-based heart rate measurements. IEEE International Conference on Bioinformatics and Bioengineering (BIBE) , 2018 .(pdf) 

21. S. Bobbia, D. Luguern, Y. Benezeth, K. Nakamura, R. Gomez and J. Dubois, “Real-Time Temporal Superpixels for Unsupervised Remote Photoplethysmography”, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018. (pdf)

22. R. Macwan, S. Bobbia, Y. Benezeth, J. Dubois, A. Mansouri, “Periodic Variance Maximization using Generalized Eigenvalue Decomposition applied to Remote Photoplethysmography estimation”, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018. (pdf)

23. R. Macwan, Y. Benezeth, K. Nakamura, R. Gomez, Y. Wu, A. Mansouri, Parameter-Free Adaptive Step-Size Multiobjective Optimization Applied to Remote Photoplethysmography, IEEE International Conference on Biomedical and Health Informatics (BHI), 2018. (pdf)

24. Y. Benezeth, P. Li, R. Macwan, K. Nakamura, R. Gomez, F. Yang, Remote Heart Rate Variability for Emotional State Monitoring, IEEE International Conference on Biomedical and Health Informatics (BHI), 2018. (pdf)

25. O. Zenteno, A. Krebs, S. Treuillet, Y. Lucas, Y. Benezeth and F. Marzani, Dual-channel geometric registration of a multispectral-augmented endoscopic prototype, International Conference on Computer Vision Theory and Applications (VISAPP), 2018.

26. A. Krebs, Y. Benezeth, F. Marzani, Quadratic Objective Functions for Dichromatic Model Parameters Estimation, International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2017. (pdf)

    •  CISRA Best Paper Award

27. C. Li, Y. Benezeth, K. Nakamura, R. Gomez, F. Yang, An Embedded Solution for Multispectral Palmprint Recognition, European Sigal Processing Conference (EUSIPCO), 2017.

28. R. Macwan, Y. Benezeth, A. Mansouri, K. Nakamura, R. Gomez, Remote Photoplethysmography measurement using Constrained ICA,  IEEE International Conference on E-Health and Bioengineering (EHB), 2017.  (pdf)

29. C. Li, Y. Benezeth, K. Nakamura, R. Gomez, F. Yang , Evaluation of skin spectral features for biometric,  IEEE International Conference on Signal and Image Processing (ICSIP), 2017.

30. S. Bobbia, Y. Benezeth, J. Dubois, Remote Photoplethysmography Based on Implicit Living Skin Tissue Segmentation, IEEE International Conference on Pattern Recognition (ICPR), 2016. (pdf)

    • Best Scientific Paper Prize for Track "Biomedical Image Analysis and Applications".  

31. J. Dubois, A. Moinet, S. Bobbia, R. Marroquin, B. Heyrman, P. Bonazza, B. Darties, C. Nicolle, Y. Benezeth, J. Mitéran, D. Ginhac,  WiseEye: A Platform to Manage and Experiment on Smart Camera Networks  In 5th Workshop on Architecture of Smart Cameras (WASC), 2016.

32. A.K. Eldady, Y. Benezeth, V. Flaus, C. Duvillard, A. Bozorg Grayeli, F. Marzani, The Bag of Words Approach for the Classification of Head and Neck Cancers Using Diffuse Reflectance Spectroscopy, International Conference on Medical Image Computing and Computer Assisted Intervention workshop (MICCAI workshop), 2015. 

33. Y. Benezeth, A. Bertaux, A. Manceau, Bag-of-word based brand recognition using Markov Clustering Algorithm for codebook generation, IEEE International Conference on Image Processing (ICIP), 2015.  (pdf)

34. G. Lozano-Vega, Y. Benezeth, F. Marzani and F. Boochs, Analysis of Relevant Features for Pollen Classification, Artificial Intelligence Applications and Innovations (AIAI), Springer, 2014. 

35. Y. Wang, P.-M. Jodoin, F. Porikli, J. Konrad, Y. Benezeth, P. Ishwar, CDnet 2014: An Expanded Change Detection Benchmark Dataset, IEEE Conference on Computer Vision and Pattern Recognition Change Detection workshop (CVPR workshops), 2014.   (pdf)

36. A. Quintero Delgado, Y. Benezeth, D. Sidibé, Automatic spatial and temporal organization of long range video sequences from low level motion features, IEEE Conference on Computer Vision and Pattern Recognition Scene Understanding workshop (CVPR workshops), 2014.  (pdf)

37. K. Nour el houda Slimani, Y. Benezeth, F. Souami, Human interaction recognition based on the co-occurrence of visual words, IEEE Conference on Computer Vision and Pattern Recognition CMSI workshop (CVPR workshops), 2014.  (pdf)

38. Y. Benezeth, D. Sidibé, J.-B. Thomas, Background subtraction with multispectral video sequences, IEEE International Conference on Robotics and Automation OMNIVIS workshop (ICRA workshops), 2014.  (pdf)

39. S.-E. Martinez Herrera, Y. Benezeth, M. Boffety, J.F. Emile, F. Marzani, D. Lamarque, F. Goudail, Multispectral endoscopy to identify precancerous lesions in gastric mucosa , International Conference on Image and Signal Processing (ICISP), 2014.  

40. S.-E. Martinez Herrera, Y. Benezeth, M. Boffety, F. Marzani, F. Goudail, D. Lamarque, Development of a multispectral endoscope to improve the detection of precancerous lesions in digestive gastroendoscopy, Doctoral Consortium of the Int. Conf. on Computer Vision, Imaging and Computer Graphics Theory and Application (VISIGRAPP), 2014. 

41. P.-M. Jodoin, Y. Benezeth, Y. Wang, Meta-Tracking for Video Scene Understanding, IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2013.  (pdf)

42. G. Lozano-Vega, Y. Benezeth, F. Marzani and F. Boochs, Classification of Pollen Apertures Using Bag of Words International Conference on Image Analysis and Processing (ICIAP), 2013.  (pdf)

43. J. Galeano, R. Jolivot, Y. Benezeth, F. Marzani, J.-F. Emile and D. Lamarque, Analysis of Multispectral Images of Excised Colon Tissue Samples Based on Genetic Algorithms, Workshop on Colour and Multispectral Imaging of the int. conf. on Signal Image Technology & Internet Based Systems (SITIS), 2012.  (pdf)

44. G. Le-Jan, Y. Benezeth, G.Gravier and F. Bimbot, A study on auditory feature spaces for speech-driven lip animation, Interspeech, 2011.  (pdf)

45. Y. Benezeth, S.-A. Berrani, Unsupervised Credit Detection in TV Broadcast Streams, IEEE International Symposium on Multimedia (ISM), pp. 175 - 182, 2010 (pdf)

46. Y. Benezeth, B. Hemery, H. Laurent, B. Emile, C. Rosenberger, Evaluation of Human Detection Algorithms in Image Sequences, Advanced Concepts for Intelligent Vision Systems (ACIVS), 2010.  (pdf)

47. Y. Benezeth, P.-M. Jodoin, B. Emile, H. Laurent, C. Rosenberger, Human Detection with a Multi-sensors Stereovision System, International Conference on Image and Signal Processing (ICISP), pp. 228-235, 2010.  (pdf)

48. Y. Benezeth, P.-M. Jodoin, V. Saligrama, C. Rosenberger, Abnormal events detection based on spatio-temporal co-occurences, IEEE international Conference on Computer Vision and Pattern Recognition (CVPR), 2009. (pdf)

49. Y. Benezeth, B. Emile, H. Laurent, C. Rosenberger, A General Framework for a Robust Human Detection in Images Sequences, IEEE International Conference on Image and Graphics (ICIG), pp. 244 - 249, 2009.  (pdf)

50. Y. Benezeth, B. Emile, H. Laurent, C. Rosenberger, A Real Time Human Detection System Based on Far Infrared Vision, International Conference on Image and Signal Processing (ICISP), 2008. 

51. Y. Benezeth, P.-M. Jodoin, B. Emile, H. Laurent, C. Rosenberger, Review and evaluation of commonly-implemented background subtraction algorithms, IEEE International Conference on Pattern Recognition (ICPR), 2008.  (pdf)

52. Y. Benezeth, B. Emile, C. Rosenberger, Comparative study on foreground detection algorithms for human detection, IEEE International Conference on Image and Graphics (ICIG), 2007. 

National conferences

1. H. Rafi, Y. Benezeth, C. Demonceaux, F. Yang, Estimation automatique du ressenti conducteur dans les ADAS, Congrès National de la Recherche des IUT (CNRIUT), 2023.

2. T. Bazin, A. Krebs, Y. Benezeth, D. Moussata, C. Julié, J.F. Emile, F. Marzani, D. Lamarque, Détection automatisée de l'atrophie glandulaire et de la métaplasie intestinale gastriques, Journées Francophones d’Hépato-Gastroenterologie et d’Oncologie Digestive, 2020.

3. V. Camilo, A. Krebs, A. Jobart-Malfait, V. Michel, Y. Benezeth, T. Bazin, F. Marzani, E. Touati, D. Lamarque, "Détection des lésions inflammatoires de la muqueuse gastrique par analyse multispectrale de la réflectance dans un modèle murin d’infection à H. pylori", Journées Francophones d’Hépato-Gastroenterologie et d’Oncologie Digestive, 2019.

4. D. Lamarque, S.-E. Martinez Herrera, E. Touati, Y. Benezeth, M. Boffety, J.-F. Emile, F. Marzani, F. Goudail, "L’analyse spectrale de la lumière réfléchie permet de différencier les lésions inflammatoires de la muqueuse gastrique dans un modèle expérimental d’infection à H. pylori chez la souris", Journées Francophones d’Hépato-Gastroenterologie et d’Oncologie Digestive, 2015. 

5. S. Martinez-Herrera, R. Akka, Y. Benezeth, M. Boffety, J.-F. Emile, F. Marzani, D. Lamarque, F. Goudail, Intérêt de l’analyse multispectrale des images endoscopiques de la muqueuse gastrique pour reconnaitre la gastrite inflammatoire et ses différents types : résultats d’une étude préliminaire, Journées Francophones d’Hépato-Gastroenterologie et d’Oncologie Digestive, 2014.

6. G. Lozano-Vega, Y. Benezeth, M. Uhler, F. Boochs, F. Marzani, Image based pollen detection and quantitative analysis , Annual meeting of the German Society for Photogrammetry, Remote Sensing and Geoinformation, 2012.  

7. Y. Benezeth, G.Gravier and F. Bimbot, Etude comparative des différentes unités acoustiques pour la synchronisation labiale, GRETSI, 2011.  (pdf)

8. Y. Benezeth, B. Emile, H. Laurent, C. Rosenberger, Détection de la présence humaine et caractérisation de l'activité, GRETSI, 2009.  (pdf)

9. Y. Benezeth, B. Emile, H. Laurent, A. Hafiane, Reconnaissance par blocs : une alternative aux descripteurs locaux GRETSI, 2009. 

10. Y. Benezeth, B. Emile, H. Laurent, C. Rosenberger, Détection de la Présence Humaine par Vision Infrarouge : Application à la Gestion de l'énergie électrique dans l'habitat , Conférence Pôle Capteurs, 2008. 

Patent

• Y. Benezeth, S. Bobbia, J. Dubois, R. Macwan, A. Mansouri, “Surveillance de la qualité du sommeil d’un bébé par combinaison de données multimodales incluant la photopléthysmographie“, publié le 14/12/17 sous le numéro WO 2017/212174 A1.

Research report

• Y. Benezeth, G. Bachman, G. Le-Jan, N. Souviraà-Labastie, F. Bimbot, BL-Database: A French audiovisual database for speech driven lip animation systems, Research Report, 2011. RR-7711. (pdf)

Theses

• Habilitation à Diriger des Recherches de l’Univ. de Bourgogne Franche Comté, soutenue le 05/12/2019 (in French). 

Contributions à l’estimation du signal photopléthysmographique par analyse vidéo

• Thèse de doctorat de l’Université d’Orléans,  soutenue le 28/10/2009 (in French) 

Détection de la présence humaine par vision