PELLERIN
Denis
professeur UGA
Publications
Link 1
Link 2
Link 3

Publications in the HAL database

HAL

Book chapters

  1. Rahman A., Houzet D., Pellerin D., Visual saliency model on multi-GPU, GPU Computing Gems: Emerald Edition, Editor-in-chief: Wen-mei W. Hwu, Morgan Kaufmann Publishers, ISBN: 9780123849885, chap. 30, 451-472, 2011.

  2. Marat S., Guyader N., Pellerin D., Gaze prediction improvement by adding a face feature to a saliency model, In-Tech book: Recent advances in Signal Processing, edited by Ashraf A. Zaher, ISBN 978-953-307-002-5, chap. 12, 195-210, 2009.


Refereed journal publications

  1. Quan W., Wang K., Yan D.-M., Zhang X. and Pellerin D., Learn with diversity and from harder samples: Improving the generalization of CNN-based detection of computer-generated images, Forensic Science International: Digital Investigation, 2020.
  2. Dutt A., Pellerin D., Quénot G., Coupled Ensembles of Neural Networks, Special Issue on Deep Learning Neural Networks: Methods, Systems, and Applications, Neurocomputing, 2019. https://doi.org/10.1016/j.neucom.2018.10.092
  3. Chan Wai Tim S., Rombaut M., Pellerin D., Dutt A., Descriptor extraction based on a multilayer dictionary architecture for classification of natural images, Computer Vision and Image Understanding (CVIU), 2018. https://doi.org/10.1016/j.cviu.2018.08.002
  4. Budnik M., Gutierrez-Gomez E.-L., Safadi B., Pellerin D., Quénot G., Learned features versus engineered features for multimedia indexing, Multimedia Tools and Applications (MTAP), 2017. https://doi.org/10.1007/s11042-016-4240-2
  5. Hamel S., Guyader N., Pellerin D., Houzet D., Contribution of color in saliency model for videos, Signal, Image and Video Processing (SIVP) journal, 2016. https://doi.org/10.1007/s11760-015-0765-5
  6. Hamel S., Houzet D., Pellerin D., Guyader N., Does color influence eye movements while exploring videos?, Journal of Eye Movement Research, 8(1):4,1-10, 2015.
  7. Stoll C., Palluel-Germain R., Fristot V., Pellerin D.,  Alleysson D., Graff C., Navigating from a depth image converted into sound, Applied Bionics and Biomechanics, volume 2015. http://dx.doi.org/10.1155/2015/543492

  8. Rahman A., Pellerin D., Houzet D.,  Influence of number, location and size of faces on gaze in video, Journal of Eye Movement Research, 7(2):5, 1-11, 2014.

  9. Song G., Pellerin D., Granjon L., Different types of sounds influence gaze differently in videos, Journal of Eye Movement Research, 6(4):1, 1-13, 2013.

  10. Marat S., Rahman A., Pellerin D., Guyader N., Houzet D., Improving visual saliency by adding “face feature map” and “center bias”, Cognitive Computation, 5(1): 63-75, 2013.

  11. Rahman A., Houzet D., Pellerin D., Marat S., Guyader N., Parallel implementation of a spatio-temporal visual saliency model, Journal of Real-Time Image Processing (JRTIP), Special Issue on Parallel Computing for Real-Time Image Processing, 6: 3-14, 2011.

  12. Ramasso E., Panagiotakis C., Rombaut M., Pellerin D., Belief scheduler based on model failure detection in the TBM framework. Application to human activity recognition, International Journal of Approximate Reasoning (IJAR), 51(7), 846-865, September 2010.

  13. Ramasso E., Panagiotakis C., Rombaut M., Pellerin D., and Tziritas G., Human shape-motion analysis in athletics videos for coarse to fine action/activity recognition using transferable belief model. Electronic Letters on Computer Vision and Image Analysis (ELCVIA), special issue on human motion analysis and recognition, 7(4): 32-50, 2009.

  14. Marat S., Ho Phuoc T., Granjon L., Guyader N., Pellerin D., Guérin-Dugué A., Modelling spatio-temporal saliency to predict gaze direction for short videos, International Journal of Computer Vision (IJCV), 82(3):231-243, 2009.

  15. Panagiotakis C., Ramasso E., Tziritas G., Rombaut M., Pellerin D., Shape-based individual/group detection for sport videos categorization, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 22(6), 1187-1213, 2008.

  16. Ramasso E., Panagiotakis C., Pellerin D., Rombaut M., Human action recognition in videos based on the Transferable Belief Model - Application to athletics jumps, Pattern Analysis and Application Journal (PAA), 11(1), 1-19, 2008.
  17. Guironnet M., Pellerin D., N. Guyader, P. Ladret, Video summarization based on camera motion and a subjective evaluation method, EURASIP Journal on Image and Video Processing,  Vol. 2007, Article ID 60245, 12 pages, 2007
  18. Guironnet M., Pellerin D., Rombaut M., A fusion architecture based on TBM for camera motion classification, Image and Vision Computing (IVC), Vol. 25(11), 1737-1747, 2007.
  19. Ramasso E., Rombaut M., Pellerin D., State filtering and change detection using TBM conflict - Application to human action recognition in athletics videos, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 17(7), 944-949, 2007.
  20. Pingault M., Pellerin D., Motion estimation of transparent objects in the frequency domain, Signal Processing, Vol. 84(4), 709-719, 2004.
  21. Pingault M., Bruno E., Pellerin D., A robust multiscale B-spline function decomposition for estimating motion transparency, IEEE transactions on Image Processing, 12(11), 1416-1426, 2003.
  22. Bruno E., Pellerin D., Robust motion estimation using spatial Gabor-like filters, Signal Processing, 82(2), 175-187, 2002.
  23. Spinéi A., Pellerin D., Motion estimation of opaque or transparent objects using triads of Gabor filters, Signal Processing, Vol. 81(4),  845-853, 2001.
  24. Spinéi A., Pellerin D., Fernandes D., Hérault J., Fast hardware implementation of Gabor filter based motion estimation, Integrated Computer-Aided Engineering (ICAE): Special Issue on Architectural Trends for Image Processing and Machine Vision, 7(1), 67-77, 2000.
  25. Spinéi A., D. Pellerin, J. Hérault, Spatiotemporal energy-based method for velocity estimation, Signal Processing, 65(3), 347-362, 1998.
  26. Pellerin D., Hérault J., Scheduling with neural networks: Application to time-table construction, International Journal of Neurocomputing, 6, 419-442, 1994.


Refereed international conference publications

  1. Canovas B., Rombaut M., Nègre A., Pellerin D. and Olympieff S., Speed and memory efficient dense RGB-D SLAM in dynamic scenes, Int. Conf. on Intelligent Robots and Systems (IROS 2020), Las Vegas, NV, USA, October 2020.
  2. Quan W., Wang K., Yan D.-M., Pellerin D. and Zhang X.,Impact of Data Preparation and CNN’s First Layer on Performance of Image Forensics: A Case Study of Detecting Colorized Images, International Workshop on Machine Learning Algorithms for Cybersecurity (MLACS 2019), Thessaloniki, Greece, October 2019.
  3. Quan W., Wang K., Yan D.-M., Pellerin D. and Zhang X., Improving the Generalization of Colorized Image Detection with Enhanced Training of CNN, 11th Int. Symposium on Image and Signal Processing and Analysis (ISPA 2019), Dubrovnik, Croatia, September 2019.
  4. Hassan M., Mulhem P., Pellerin D., Quénot G., Explaining Visual Classification using Attributes, Content-Based Multimedia Indexing (CBMI 2019), Dublin, Ireland, September 2019.
  5. Pham T.. D., Dutt A., Pellerin D., Quénot G., Classifier Training from a Generative Model, Content-Based Multimedia Indexing (CBMI 2019), Dublin, Ireland, September 2019.
  6. Canovas B., Rombaut M., Nègre A., Olympieff S., Pellerin D., A coarse and relevant 3D representation for fast and lightweight RGB-D mapping, Int. Conf. on Computer Vision Theory and Applications (VISAPP 2019), Prague, Czech Republic, February 2019.

  7. Dutt A., Pellerin D., Quénot G., Coupled ensembles of neural networks, Content-Based Multimedia Indexing (CBMI 2018), La Rochelle, France, September 2018.

  8. Dutt A., Pellerin D., Quénot G., Coupled ensembles of neural networks, Workshop track of Int. Conf. on Learning Representations (ICLR 2018), Vancouver, Canada, April-May 2018.

  9. Guezou-Philippe A., Huet S., Pellerin D., Graff C., Prototyping and Evaluating Sensory Substitution Devices by Spatial Immersion in Virtual Environments, Int. Conf. on Computer Vision Theory and Applications (VISAPP 2018), Madeira, Portugal, January 2018.
  10. Huet S., Doré J., Buquet Z., Pellerin D., Graff C., Eye-movement in the dark for the exploration of virtual scenes encoded by sounds, European Conference on Eye Movements (ECEM 2017), Wuppertal, Germany, August 2017.
  11. Dutt A., Pellerin D., Quénot G., Improving hierarchical image classification with merged CNN architectures, Content-Based Multimedia Indexing (CBMI 2017), Firenze, Italy, June 2017.
  12. Dutt A., Pellerin D., Quénot G., Improving image classification using coarse and fine labels, ACM International Conference on Multimedia Retrieval (ICMR 2017), Bucharest, Romania, June 2017.
  13. Ratajczak R., Pellerin D., Labourey Q., Garbay C., A fast audiovisual attention model for human detection and localization on a companion robot, First International Conference on Applications and Systems of Visual Paradigms (VISUAL 2016), Barcelona, Spain, November 2016.
  14. Chan Wai Tim S., Rombaut M., Pellerin D., Multi-layer dictionary learning for image classification, Conference on Advanced Concepts for Intelligent Vision Systems (ACVIS 2016), Lecce, Italy, October 2016.
  15. Labourey Q., Aycard O., Pellerin D., Rombaut R., Garbay C., An evidential filter for indoor navigation of a mobile robot in dynamic environment, International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU’2016), Eindhoven, The Netherlands, June 2016.
  16. Chan Wai Tim S., Rombaut M., Pellerin D., Rejection-based classification for action recognition using a spatio-temporal dictionary, European Signal Processing Conference (EUSIPCO'2015), Nice, France, August 2015.
  17. Labourey Q., Pellerin D., Rombaut M., Aycard O., Garbay C., Sound classification in indoor environment thanks to belief functions, European Signal Processing Conference (EUSIPCO'2015), Nice, France, August 2015.
  18. Chan Wai Tim S., Rombaut M., Pellerin D., Dictionary of gray-level 3D patches for action recognition, IEEE International Workshop on Machine Learning for Signal Processing (MLSP’14), Reims, France, September 2014.
  19. Hamel S., Guyader N., Pellerin D., Houzet D., Color information in a model of saliency, European Signal Processing Conference (EUSIPCO'2014), Lisbon, Portugal, September 2014.
  20. Hamel S., Guyader N., Pellerin D., Houzet D., Contribution of color information in visual saliency model for videos, International Conference on Image and Signal Processing (ICISP’2014), Cherbourg, France, LNCS, June 2014.
  21. Labourey Q., Aycard O., Pellerin D., Rombaut M., Audiovisual data fusion for successive speaker tracking, International Conference on Computer Vision Theory and Applications (VISAPP’2014), Lisbon, Portugal, January 2014.
  22. Fristot V., Boucheteil J., Granjon L., Pellerin D., Alleysson D., Depth-melody substitution, European Signal Processing Conference (EUSIPCO'2012), Bucharest, Romania, August 2012. 
  23. Song G., Pellerin D., Granjon L., How different kinds of sound in videos can influence gaze, Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS’2012), Dublin, Ireland, May 2012.
  24. Rahman A., Pellerin D., Houzet D., Face perception: Influence of location and number in videos, Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS’2012), Dublin, Ireland, May 2012.
  25. Chan Wai Tim S., Rombaut M., Pellerin D., Adaptive initialization of a EvKNN classification algorithm, 2nd Int. Conf. on Belief Functions (Belief’2012), Compiègne, France, May 2012.
  26. Song G., Pellerin D., Granjon L., Sound effect on visual gaze when looking at videos, European Signal Processing Conference (EUSIPCO'2011), Barcelona, Spain, August 2011.
  27. Rahman A., Song G., Pellerin D., Houzet D., Spatio-temporal fusion of visual attention model, European Signal Processing Conference (EUSIPCO'2011), Barcelona, Spain, August 2011.
  28. Rahman A., Houzet D., Pellerin D., Agud L., GPU implementation of motion estimation for visual saliency, Conference on Design & Architectures for Signal and Image Processing (DASIP’10), Edinburgh, Scotland, October 2010.
  29. Goeau H., Rombaut M., Pellerin D., Buisson O., Multi-labeled image classification by TBM active learning, Workshop on The Theory of Belief Functions, Brest, France, April 2010.

  30. Simac-Lejeune A., Marat S., Pellerin D., Lambert P., Rombaut M., Guyader N., Relevance of interest points for eye position prediction on videos, 7th International Conference on Computer Vision Systems (ICVS), Liège, Belgium, October 2009.

  31. Quénot G., Benoist-Pineau J., Mansencal B., Rossi E, Cord M. Precioso F., Gorisse D., Lambert P., Augereau B., Granjon L., Pellerin D., Rombaut M., Ayache S., Rushes summarization by IRIM consortium: redundancy removal and multi-feature fusion, ACM Multi-media’08, Vancouver, Canada, October 2008.
  32. Marat S., Ho Phuoc T., Granjon L., Guyader N., Pellerin D., Guérin-Dugué A., Spatio-temporal saliency model to predict eye movements in video free viewing, European Signal Processing Conference (EUSIPCO'2008), Lausanne, Suisse, August 2008.
  33. Ramasso E., Pellerin D., Rombaut M., Forward-Backward-Viterbi procedures in the Transferable Belief Model for state sequence analysis using belief functions, European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU’07), Hammamet, Tunisia, October 2007.
  34. Panagiotakis C., Ramasso E., Tziritas G., Pellerin D. and Rombaut M., Automatic people detection and counting for athletic videos classification, IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS'07), special session on vision-based gesture and human action recognition, invited paper, London (UK), September 2007.
  35. Marat S., Guironnet M., Pellerin D., Video summarization using a visual attention model, European Signal Processing Conference (EUSIPCO'2007), Poznan, Poland, September 2007.

  36. Goeau H., Thièvre J., Viaud M-L., Pellerin D, Interactive visualization tool with graphic table of contents, IEEE International Conference on Multimedia and Expo (ICME'2007), Beijing, China, July 2007.

  37. Guironnet M., Pellerin D., Rombaut M., Camera motion classification based on transferable belief model, European Signal Processing Conference (EUSIPCO'2006), Florence, Italy, September 2006.

  38. Panagiotakis C., Ramasso E., Tziritas G., Rombaut M. and Pellerin D., Shape-motion based athlete tracking for multilevel action recognition, Conference on Articulated Motion and Deformable Objects (AMDO'2006), Andratx, Mallorca, Spain, July 2006. (Sponsor award for the most suitable work for commercialization)

  39. Ramasso E., Pellerin D., Rombaut M., Belief scheduling for recognition of human action sequence, International Conference on Information Fusion (Fusion 2006), Florence, Italy, July 2006.

  40. Ramasso E., Rombaut M., Pellerin D., A temporal belief filter improving human action recognition in videos, International Conference on Acoustics, Speech, and Signal Processing (ICASSP’06), Toulouse, France, May 2006.

  41. Ramasso E., Pellerin D., Panagiotakis C., Rombaut M., Tziritas G. and Lim W., Spatiotemporal information fusion for human action recognition in videos, European Signal Processing Conference (EUSIPCO'2005), Antalya, Turkey, September 2005.

  42. Guironnet M., Guyader N., Pellerin D., Ladret P., Static and dynamic feature-based visual attention model: Comparison with human judgement, European Signal Processing Conference (EUSIPCO'2005), Antalya, Turkey, September 2005.

  43. Guironnet M., Pellerin D., Rombaut M., Video classification based on low-level feature fusion model, European Signal Processing Conference (EUSIPCO'2005), Antalya, Turkey, September 2005.

  44. Guironnet M., Guyader N., Pellerin D., Ladret P., Spatio-temporal attention model for video content analysis, IEEE International Conference on Image Processing (ICIP'2005), Genova, Italy, September 2005.

  45. Senechal B., Pellerin D., Besacier L., Simand I., Brès S, Audio, video and audio-visual signatures for short video clip detection: Experiments on Trecvid2003, IEEE International Conference on Multimedia and Expo (ICME'2005), Amsterdam, The Netherlands, July 2005.

  46. Simand I., Pellerin D., Brès S., Jolion J.M., Spatio-temporal signatures for video copy detection, International conference on Advanced Concepts for Intelligent Vision Systems (ACVIS'2004), Brussels, Belgium, September 2004.

  47. Guironnet M., Pellerin D., Ladret P., Video summarization using fuzzy descriptors and a temporal segmentation, International conference on Advanced Concepts for Intelligent Vision Systems (ACVIS'2004), Brussels, Belgium, September 2004.

  48. Pingault M., Pellerin D., Optical flow constraint equation extended to transparency, XI European Signal Processing Conference (EUSIPCO'2002), Toulouse, France, September 2002.

  49. Pingault M., Pellerin D., Motion transparency constraint equation based on a wavelet function decomposition, IEEE International Conference on Multimedia and Expo (ICME'2002), Lausanne, Switzerland, August 2002.

  50.  Bruno E., Pellerin D., Video shot detection based on linear prediction of motion, IEEE International Conference on Multimedia and Expo (ICME'2002), Lausanne, Switzerland, August 2002.

  51. Bruno E., Pellerin D., Video structuring, indexing and retrieval based on global motion wavelet coefficients, International Conference on Pattern Recognition (ICPR'2002), Quebec city, August 2002.

  52. Bruno E., Pellerin D., Global motion model based on B-spline wavelets: application to motion estimation and video indexing, 2nd International Symposium on Image and Signal Processing and Analysis (ISPA’01), Pula, Croatia, 289-294, June 2001.

  53. Bertolino P., Foret G., Pellerin D., Detecting people in videos for their immersion in a virtual space, 2nd international symposium on Image and Signal Processing and Analysis (ISPA’01), Pula, Croatia, 313-318, June 2001

  54. Bruno E., Pellerin D., Global motion Fourier series expansion for video indexing and retrieval, Fourth International Conference on Visual Information Systems (VISUAL’2000), Lyon, France, 327-237, November 2000.

  55. Bruno E., Pellerin D., Robust motion estimation using spatial Gabor filters, X European Signal Processing Conference (EUSIPCO'2000), Tampere, Finland, 1465-1468, September 2000.

  56. Spinéi A., Pellerin D., Hérault J., Motion estimation based on triads of Gabor filters: DSP board implementation, IX European Signal Processing Conference (EUSIPCO'98), Rhodes, Greece, 1569-1572, September 1998.

  57. Croll C., Pellerin D., Hérault J., Fast filter bank synthesis by periodical anamorphosis, , IX European Signal Processing Conference (EUSIPCO'98), Rhodes, Greece, 277-280, September 1998.

  58. Croll C., Pellerin D., Hérault J., Multidimensional filtering inspired by retino-cortical projection: Application to  texture segmentation, International Workshop on Artificial Neural Networks (IWANN'97), Canary Islands, Spain, 1085-1094, June 1997.

 

Refeered national conference publications

  1. Canovas B., Rombaut M., Nègre A., Olympieff S., Pellerin D., Reconstruction 3D basse résolution d’environnements intérieurs à partir de caméra RGB-D, 27ème colloque sur le traitement du signal et des images (GRETSI 2019), Lille, Août 2019.

  2. Ramasso E., Rombaut M., Pellerin D., Modèle de Markov Cachés Crédibilistes en présence d’informations non distinctes, Rencontres francophones sur la Logique Floue et ses Applications (LFA’08), Lens, Octobre 2008.

  3. Ramasso E., Rombaut M., Pellerin D., L’ordonnanceur crédibiliste pour la reconnaissance de séquence d’états dans le cadre du modèle des croyances transférables, Rencontres francophones sur la Logique Floue et ses Applications (LFA’07), Nîmes, Novembre 2007.

  4. Goëau H., Thièvre J., Viaud M-L., Pellerin D., Navigation par le contenu dans les vidéos avec des tables graphiques des matières, 22ème colloque sur le traitement du signal et des images (GRETSI'07), Troyes, Septembre 2007.

  5. Marat S., Guironnet M., Pellerin D., Résumé de vidéo à partir d’un modèle d’attention visuelle, 22ème colloque sur le traitement du signal et des images (GRETSI'07), Troyes, Septembre 2007.

  6. Ramasso E., Rombaut M., Pellerin D., Algorithmes forward-backward et décodage de Viterbi dans le cadre du Modèle de Croyance Transférable : application à la classification de séquences vidéos, 22ème colloque sur le traitement du signal et des images (GRETSI'07), Troyes, Septembre 2007.

  7. Ramasso E., Rombaut M., Pellerin D., Un filtre temporel crédibiliste pour la reconnaissance d’actions humaines dans les vidéos, Rencontres francophones sur la Logique Floue et ses Applications (LFA 2006), Toulouse, Octobre 2006.

  8. Ramasso E., Pellerin D., Rombaut, Reconnaissance de sauts d’athlète dans les vidéos : fusion du mouvement de caméra et de la trajectoire de points caractéristiques, 20ème colloque sur le traitement du signal et des images (GRETSI'05), Louvain-la-Neuve, Belgique, Septembre 2005.

  9. Rombaut M., Pellerin D., Ramasso E., Vers la reconnaissance de motifs temporels, Atelier pour les 5ème journées d’Extraction et Gestion des Connaissances (EGC’05), Paris, Janvier 2005.

  10. Bruck J.M., Brès S., Pellerin D., Construction d’une signature audio pour l’indexation de documents audiovisuels, Compression et Représentation des Signaux Audiovisuels (CORESA’2004), Lille, France, Mai 2004.

  11. Guironnet M., Pellerin D., Ladret P., Combinaison de descripteurs flous de couleur et d'activité pour le résumé de vidéos, 14ème congrès de Reconnaissance des Formes et Intelligence Artificielle (RFIA'2004), Toulouse, France, Janvier 2004.

  12. Guironnet M., Pellerin D., Ladret P., Création de résumés de vidéos appliquée à la recherche par l'exemple, 19ème colloque sur le traitement du signal et des images (GRETSI'03), Paris, France, Septembre 2003.

  13. Pingault M., Pellerin D., Shimahara J., Estimation du mouvement d'objets transparents dans le domaine fréquenciel, 13ème congrès de Reconnaissance des Formes et Intelligence Artificielle (RFIA'2002), Angers, France, 559-566, Janvier 2002.

  14. Bruno E., Pellerin D., Modélisation du mouvement global sur une base d’ondelettes : application à l’indexation de séquences vidéo, 18ème colloque sur le traitement du signal et des images (GRETSI’01), Toulouse, France, T2 73-76, Septembre 2001.

  15. Bertolino P., Foret G., Pellerin D., Détection de personnes dans les vidéos pour leur immersion dans un espace virtuel, 18ème colloque sur le traitement du signal et des images (GRETSI’01), Toulouse, France, T2 153-156, Septembre 2001.

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal