Bibliography

Major publications by the team in recent years

• 1A. Avanzi, F. Brémond, C. Tornieri, M. Thonnat.
  
  Design and Assessment of an Intelligent Activity Monitoring Platform, in: EURASIP Journal on Applied Signal Processing, Special Issue on “Advances in Intelligent Vision Systems: Methods and Applications”, August 2005, vol. 2005:14, pp. 2359-2374.
• 2H. Benhadda, J. Patino, E. Corvee, F. Brémond, M. Thonnat.
  
  Data Mining on Large Video Recordings, in: 5eme Colloque Veille Stratégique Scientifique et Technologique VSST 2007, Marrakech, Marrocco, 21st - 25th October 2007.
• 3B. Boulay, F. Brémond, M. Thonnat.
  
  Applying 3D Human Model in a Posture Recognition System, in: Pattern Recognition Letter, 2006, vol. 27, n^o 15, pp. 1785-1796.
• 4F. Brémond, M. Thonnat.
  
  Issues of Representing Context Illustrated by Video-surveillance Applications, in: International Journal of Human-Computer Studies, Special Issue on Context, 1998, vol. 48, pp. 375-391.
• 5G. Charpiat.
  
  Learning Shape Metrics based on Deformations and Transport, in: Proceedings of ICCV 2009 and its Workshops, Second Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA), Kyoto, Japan, September 2009.
• 6N. Chleq, F. Brémond, M. Thonnat.
  
  Advanced Video-based Surveillance Systems, Kluwer A.P. , Hangham, MA, USA, November 1998, pp. 108-118.
• 7F. Cupillard, F. Brémond, M. Thonnat.
  
  Tracking Group of People for Video Surveillance, Video-Based Surveillance Systems, Kluwer Academic Publishers, 2002, vol. The Kluwer International Series in Computer Vision and Distributed Processing, pp. 89-100.
• 8F. Fusier, V. Valentin, F. Brémond, M. Thonnat, M. Borg, D. Thirde, J. Ferryman.
  
  Video Understanding for Complex Activity Recognition, in: Machine Vision and Applications Journal, 2007, vol. 18, pp. 167-188.
• 9B. Georis, F. Brémond, M. Thonnat.
  
  Real-Time Control of Video Surveillance Systems with Program Supervision Techniques, in: Machine Vision and Applications Journal, 2007, vol. 18, pp. 189-205.
• 10C. Liu, P. Chung, Y. Chung, M. Thonnat.
  
  Understanding of Human Behaviors from Videos in Nursing Care Monitoring Systems, in: Journal of High Speed Networks, 2007, vol. 16, pp. 91-103.
• 11N. Maillot, M. Thonnat, A. Boucher.
  
  Towards Ontology Based Cognitive Vision, in: Machine Vision and Applications (MVA), December 2004, vol. 16, n^o 1, pp. 33-40.
• 12V. Martin, J.-M. Travere, F. Brémond, V. Moncada, G. Dunand.
  
  Thermal Event Recognition Applied to Protection of Tokamak Plasma-Facing Components, in: IEEE Transactions on Instrumentation and Measurement, Apr 2010, vol. 59, n^o 5, pp. 1182-1191.
• 13S. Moisan.
  
  Knowledge Representation for Program Reuse, in: European Conference on Artificial Intelligence (ECAI), Lyon, France, July 2002, pp. 240-244.
• 14S. Moisan.
  
  Une plate-forme pour une programmation par composants de systèmes à base de connaissances, Université de Nice-Sophia Antipolis, April 1998, Habilitation à diriger les recherches.
• 15S. Moisan, A. Ressouche, J.-P. Rigault.
  
  Blocks, a Component Framework with Checking Facilities for Knowledge-Based Systems, in: Informatica, Special Issue on Component Based Software Development, November 2001, vol. 25, n^o 4, pp. 501-507.
• 16J. Patino, H. Benhadda, E. Corvee, F. Brémond, M. Thonnat.
  
  Video-Data Modelling and Discovery, in: 4th IET International Conference on Visual Information Engineering VIE 2007, London, UK, 25th - 27th July 2007.
• 17J. Patino, E. Corvee, F. Brémond, M. Thonnat.
  
  Management of Large Video Recordings, in: 2nd International Conference on Ambient Intelligence Developments AmI.d 2007, Sophia Antipolis, France, 17th - 19th September 2007.
• 18A. Ressouche, D. Gaffé, V. Roy.
  
  Modular Compilation of a Synchronous Language, in: Software Engineering Research, Management and Applications, R. Lee (editor), Studies in Computational Intelligence, Springer, 2008, vol. 150, pp. 157-171, selected as one of the 17 best papers of SERA'08 conference.
• 19A. Ressouche, D. Gaffé.
  
  Compilation Modulaire d'un Langage Synchrone, in: Revue des sciences et technologies de l'information, série Théorie et Science Informatique, June 2011, vol. 4, n^o 30, pp. 441-471.
  
  http://hal.inria.fr/inria-00524499/en
• 20M. Thonnat, S. Moisan.
  
  What Can Program Supervision Do for Software Re-use?, in: IEE Proceedings - Software Special Issue on Knowledge Modelling for Software Components Reuse, 2000, vol. 147, n^o 5.
• 21M. Thonnat.
  
  Vers une vision cognitive: mise en oeuvre de connaissances et de raisonnements pour l'analyse et l'interprétation d'images, Université de Nice-Sophia Antipolis, October 2003, Habilitation à diriger les recherches.
• 22M. Thonnat.
  
  Special issue on Intelligent Vision Systems, in: Computer Vision and Image Understanding, May 2010, vol. 114, n^o 5, pp. 501-502.
• 23A. Toshev, F. Brémond, M. Thonnat.
  
  An A priori-based Method for Frequent Composite Event Discovery in Videos, in: Proceedings of 2006 IEEE International Conference on Computer Vision Systems, New York USA, January 2006.
• 24V. Vu, F. Brémond, M. Thonnat.
  
  Temporal Constraints for Video Interpretation, in: Proc of the 15th European Conference on Artificial Intelligence, Lyon, France, 2002.
• 25V. Vu, F. Brémond, M. Thonnat.
  
  Automatic Video Interpretation: A Novel Algorithm based for Temporal Scenario Recognition, in: The Eighteenth International Joint Conference on Artificial Intelligence (IJCAI'03), 9-15 September 2003.
• 26N. Zouba, F. Brémond, A. Anfosso, M. Thonnat, E. Pascual, O. Guerin.
  
  Monitoring elderly activities at home, in: Gerontechnology, May 2010, vol. 9, n^o 2.

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 27F. Negin.
  
  Toward Unsupervised Human Activity and Gesture Recognition in Videos, Université Côte d'Azur, October 2018.
  
  https://hal.inria.fr/tel-01947341

Articles in International Peer-Reviewed Journals

• 28F. Negin, S. Agahian, C. Köse.
  
  Improving bag-of-poses with semi-temporal pose descriptors for skeleton-based action recognition, in: Visual Computer, February 2018. [ DOI : 10.1007/s00371-018-1489-7 ]
  
  https://hal.inria.fr/hal-01849283
• 29F. Negin, J. Bourgeois, P. Robert, F. Brémond.
  
  A Gesture Recognition Framework for Cognitive Assessment, in: Gerontechnology, April 2018, vol. 17, n^o s. [ DOI : 10.4017/gt.2018.17.s.164.00 ]
  
  https://hal.inria.fr/hal-01849278
• 30F. Negin, P. Rodriguez, M. Koperski, A. Kerboua, J. Gonzàlez, J. Bourgeois, E. Chapoulie, P. Robert, F. Brémond.
  
  PRAXIS: Towards automatic cognitive assessment using gesture recognition, in: Expert Systems with Applications, September 2018, vol. 106, pp. 21 - 35. [ DOI : 10.1016/j.eswa.2018.03.063 ]
  
  https://hal.inria.fr/hal-01849275
• 31P. Robert, K. L. Lanctôt, L. Agüera-Ortiz, P. Aalten, F. Brémond, M. Defrancesco, C. Hanon, R. David, B. Dubois, K. Dujardin, M. Husain, A. König, R. Levy, V. Mantua, D. Meulien, D. Miller, H. J. Moebius, J. Rasmussen, G. Robert, M. Ruthirakuhan, F. Stella, J. Yesavage, R. Zeghari, V. Manera.
  
  Is it time to revise the diagnostic criteria for apathy in brain disorders? the 2018 international consensus group, in: European Psychiatry: The Journal of the Association of European Psychiatrists, 2018, vol. 17, n^o 54, pp. 71-76. [ DOI : 10.1016/j.eurpsy.2018.07.008 ]
  
  https://hal.inria.fr/hal-01850396
• 32G. Sacco, M. Thonnat, G. B. Sadoun, P. Robert.
  
  An approach with serious exergames for assessment and stimulation of patients with neurocognitive disorders, in: Gerontechnology, April 2018, vol. 17, n^o Supplement, 150 p.
  
  https://hal.inria.fr/hal-01838510
• 33D. Trafimow, V. Amrhein, C. Areshenkoff, C. Barrera-Causil, E. Beh, Y. Bilgiç, R. Bono, M. Bradley, W. Briggs, H. Cepeda-Freyre, S. Chaigneau, D. Ciocca, J. C. Correa, D. Cousineau, M. R. De Boer, S. Dhar, I. Dolgov, J. Gómez-Benito, M. Grendar, J. Grice, M. Guerrero-Gimenez, A. Gutiérrez, T. Huedo-Medina, K. Jaffe, A. Janyan, A. Karimnezhad, F. Korner-Nievergelt, K. Kosugi, M. Lachmair, R. Ledesma, R. Limongi, M. Liuzza, R. Lombardo, M. Marks, G. Meinlschmidt, L. Nalborczyk, H. T. Nguyen, R. Ospina, J. Perezgonzalez, R. Pfister, J. Rahona, D. Rodríguez-Medina, X. Romão, S. Ruiz-Fernández, I. Suarez, M. Tegethoff, M. Tejo, R. van de Schoot, I. Vankov, S. Velasco-Forero, T. Wang, Y. Yamada, F. Zoppino, F. Marmolejo-Ramos.
  
  Manipulating the Alpha Level Cannot Cure Significance Testing, in: Frontiers in Psychology, May 2018, vol. 9.
  
  https://hal.archives-ouvertes.fr/hal-01957088

International Conferences with Proceedings

• 34S. Baabou, F. M. Khan, F. Brémond, A. Ben Frad, M. Amine Farah, A. Kachouri.
  
  Tracklet and Signature Representation for Multi-shot Person Re-Identification. , in: SSD 2018 - International Multi-Conference on Systems, Signals and Devices, Hammamet, Tunisia, March 2018, pp. 1-6.
  
  https://hal.inria.fr/hal-01849457
• 35A. Dantcheva, F. Brémond, P. Bilinski.
  
  Show me your face and I will tell you your height, weight and body mass index, in: International Coference on Pattern Recognition (ICPR), Beijing, China, August 2018.
  
  https://hal.inria.fr/hal-01799574
• 36S. Das, A. Chaudhary, F. Brémond, M. Thonnat.
  
  Where to Focus on for Human Action Recognition?, in: WACV 2019 - IEEE Winter Conference on Applications of Computer Vision, Waikoloa Village, Hawaii, United States, January 2019, pp. 1-10.
  
  https://hal.inria.fr/hal-01927432
• 37A. Das, A. Dantcheva, F. Brémond.
  
  Mitigating Bias in Gender, Age and Ethnicity Classification: a Multi-Task Convolution Neural Network Approach, in: ECCVW 2018 - European Conference of Computer Vision Workshops, Munich, Germany, September 2018.
  
  https://hal.inria.fr/hal-01892103
• 38A. Das, C. Galdi, H. Han, R. Ramachandra, J.-L. Dugelay, A. Dantcheva.
  
  Recent Advances in Biometric Technology for Mobile Devices, in: BTAS'18, 9th IEEE International Conference on Biometrics: Theory, Applications and Systems, Los Angeles, United States, October 2018.
  
  https://hal.inria.fr/hal-01894140
• 39S. Das, M. F. Koperski, F. Brémond, G. Francesca.
  
  Deep-Temporal LSTM for Daily Living Action Recognition, in: 15th IEEE International Conference on Advanced Video and Signal-based Surveillance, Auckland, New Zealand, November 2018.
  
  https://hal.inria.fr/hal-01896064
• 40S. Das, K. Sakhalkar, M. F. Koperski, F. Brémond.
  
  Spatio-Temporal Grids for Daily Living Action Recognition, in: 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP-2018), Hyderabad, India, December 2018. [ DOI : 10.1145/3293353.3293376 ]
  
  https://hal.inria.fr/hal-01939320
• 41S. Das, M. Thonnat, K. Sakhalkar, M. F. Koperski, F. Brémond, G. Francesca.
  
  A New Hybrid Architecture for Human Activity Recognition from RGB-D videos, in: 25th International Conference on MultiMedia Modeling, Thessaloniki, Greece, January 2019.
  
  https://hal.inria.fr/hal-01896061
• 42E. De Maria, D. Gaffé, A. Ressouche, C. Girard Riboulleau.
  
  A Model-checking Approach to Reduce Spiking Neural Networks, in: BIOINFORMATICS 2018 - 9th International Conference on Bioinformatics Models, Methods and Algorithms, Funchal Madeira, Portugal, January 2018, pp. 1-8.
  
  https://hal.archives-ouvertes.fr/hal-01638248
• 43A. Goel, A. Abubakr, M. Koperski, F. Brémond, G. Francesca.
  
  Online temporal detection of daily-living human activities in long untrimmed video streams, in: IEEE IPAS 2018, Nice, France, December 2018.
  
  https://hal.inria.fr/hal-01948387
• 44J. D. Gonzales Zuniga, T.-L.-A. Nguyen, F. Brémond.
  
  Residual Transfer Learning for Multiple Object Tracking, in: International Conference on Advanced Video and Signal-based Surveillance (AVSS), Auckland, New Zealand, IEEE, November 2018.
  
  https://hal.inria.fr/hal-01928612
• 45F. M. Khan, F. Brémond.
  
  Cross domain Residual Transfer Learning for Person Re-identification, in: WACV 2019, Waikoloa Village, Hawaii, United States, January 2019.
  
  https://hal.inria.fr/hal-01947523
• 46N. Linz, X. Klinge, J. Tröger, J. Alexandersson, R. Zeghari, R. Philippe, A. König.
  
  Automatic Detection of Apathy using Acoustic Markers extracted from Free Emotional Speech, in: 2ND WORKSHOP ON AI FOR AGING, REHABILITATION AND INDEPENDENT ASSISTED LIVING (ARIAL) @IJCAI'18, Stockholm , Sweden, July 2018.
  
  https://hal.inria.fr/hal-01850436
• 47I. Sarray, A. Ressouche, S. Moisan, J.-P. Rigault, D. Gaffé.
  
  A Synchronous Approach to Activity Recognition, in: IEEE 12th International Conference on Semantic Computing (ICSC), Laguna Hills, CA, United States, January 2018.
  
  https://hal.inria.fr/hal-01931315
• 48I. Sarray, A. Ressouche, S. Moisan, J.-P. Rigault, D. Gaffé.
  
  Semantic Studies of a Synchronous Approach to Activity Recognition, in: International Conference on Software Engineering and Applications, Dubaï, United Arab Emirates, January 2018.
  
  https://hal.inria.fr/hal-01763511
• 49R. Trichet, F. Brémond.
  
  LBP Channels for Pedestrian Detection, in: WACV, Lake Tahoe, United States, March 2018.
  
  https://hal.inria.fr/hal-01849431
• 50J. Tröger, N. Linz, A. König, P. Robert, J. Alexandersson.
  
  Telephone-based Dementia Screening I: Automated Semantic Verbal Fluency Assessment, in: PervasiveHealth 2018 - 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, New York , United States, May 2018. [ DOI : 10.1145/nnnnnnn.nnnnnnn ]
  
  https://hal.inria.fr/hal-01850406
• 51U. Ujjwal, A. Dziri, B. Leroy, F. Brémond.
  
  Late Fusion of Multiple Convolutional Layers for Pedestrian Detection, in: 15th IEEE International Conference on Advanced Video and Signal-based Surveillance, Auckland, New Zealand, November 2018.
  
  https://hal.inria.fr/hal-01926073
• 52Y. Wang, A. Dantcheva, J.-C. Broutart, P. Robert, F. Brémond, P. Bilinski.
  
  Comparing methods for assessment of facial dynamics in patients with major neurocognitive disorders, in: ECCVW 2018 - European Conference of Computer Vision Workshops, Munich, Germany, September 2018.
  
  https://hal.inria.fr/hal-01894162
• 53Y. Wang, A. Dantcheva, F. Brémond.
  
  From attribute-labels to faces: face generation using a conditional generative adversarial network, in: ECCVW'18, 5th Women in Computer Vision (WiCV) Workshop in conjunction with the European Conference on Computer Vision, Munich, Germany, September 2018.
  
  https://hal.inria.fr/hal-01894150
• 54Y. Wang, A. Dantcheva, F. Brémond.
  
  From attributes to faces: a conditional generative network for face generation, in: BIOSIG'18, 17th International Conference of the Biometrics Special Interest Group, Darmstadt, Germany, September 2018.
  
  https://hal.inria.fr/hal-01894144

Other Publications

• 55C. Abi Nader, N. Ayache, V. Manera, P. Robert, M. Lorenzi.
  
  Disentangling spatio-temporal patterns of brain changes in large-scale brain imaging databases through Independent Gaussian Process Analysis, May 2018, vol. Revue d'Épidémiologie et de Santé Publique, n^o 66, S159 p, 12ème Conférence Francophone d'Epidémiologie Clinique (EPICLIN) et 25èmes Journées des statisticiens des Centre de Lutte Contre le Cancer (CLCC), Poster. [ DOI : 10.1016/j.respe.2018.03.108 ]
  
  https://hal.archives-ouvertes.fr/hal-01826517
• 56L. Antelmi, M. Lorenzi, V. Manera, P. Robert, N. Ayache.
  
  A method for statistical learning in large databases of heterogeneous imaging, cognitive and behavioral data, 12e Conférence francophone d’Épidémiologie clinique 25e Journée des statisticiens des Centres de lutte contre le cancer, Elsevier, May 2018, vol. 66, n^o 3, S180 p, EPICLIN 2018 - 12ème Conférence Francophone d’Epidémiologie Clinique / CLCC 2018 - 25èmes Journées des statisticiens des Centre de Lutte Contre le Cancer, Poster. [ DOI : 10.1016/j.respe.2018.03.306 ]
  
  https://hal.inria.fr/hal-01827389

References in notes

• 57M. Acher, P. Collet, F. Fleurey, P. Lahire, S. Moisan, J.-P. Rigault.
  
  Modeling Context and Dynamic Adaptations with Feature Models, in: Models@run.time Workshop, Denver, CO, USA, October 2009.
  
  http://hal.inria.fr/hal-00419990/en
• 58M. Acher, P. Lahire, S. Moisan, J.-P. Rigault.
  
  Tackling High Variability in Video Surveillance Systems through a Model Transformation Approach, in: ICSE'2009 - MISE Workshop, Vancouver, Canada, May 2009.
  
  http://hal.inria.fr/hal-00415770/en
• 59J. Buolamwini, T. Gebru.
  
  Gender shades: Intersectional accuracy disparities in commercial gender classification, in: Conference on Fairness, Accountability and Transparency, 2018, pp. 77-91.
• 60A. Chan-Hon-Tong, C. Achard, L. Lucat.
  
  Deeply Optimized Hough Transform: Application to Action Segmentation, in: ICIAP, 2013.
• 61C. Chen, K. Grauman.
  
  Efficient Activity Detection in Untrimmed Video with Max-Subgraph Search, in: IEEE Trans. Pattern Anal. Mach. Intell., 2017.
• 62R. David, E. Mulin, P. Mallea, P. Robert.
  
  Measurement of Neuropsychiatric Symptoms in Clinical Trials Targeting Alzheimer's Disease and Related Disorders, in: Pharmaceuticals, 2010, vol. 3, pp. 2387-2397.
• 63J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, L. Fei-Fei.
  
  ImageNet: A large-scale hierarchical image database, in: 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009, pp. 248-255.
• 64H. Ding, S. K. Zhou, R. Chellappa.
  
  Facenet2expnet: Regularizing a deep face recognition net for expression recognition, in: Automatic Face & Gesture Recognition (FG 2017), 2017 12th IEEE International Conference on, IEEE, 2017, pp. 118–126.
• 65K. He, X. Zhang, S. Ren, J. Sun.
  
  Deep Residual Learning for Image Recognition, in: arXiv preprint arXiv:1512.03385, 2015.
• 66K. He, X. Zhang, S. Ren, J. Sun.
  
  Deep Residual Learning for Image Recognition, in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 770-778.
• 67M. Hirzer, C. Beleznai, P. M. Roth, H. Bischof.
  
  Person Re-identification by Descriptive and Discriminative Classification, in: SCIA, 2011.
• 68A. Karakostas, A. Briassouli, K. Avgerinakis, I. Kompatsiaris, M. Tsolaki.
  
  The dem@ care experiments and datasets: a technical report, in: arXiv preprint arXiv:1701.01142, 2016.
• 69C. Kästner, S. Apel, S. Trujillo, M. Kuhlemann, D. Batory.
  
  Guaranteeing Syntactic Correctness for All Product Line Variants: A Language-Independent Approach, in: TOOLS (47), 2009, pp. 175-194.
• 70A. König, N. Linz, J. Tröger, M. Wolters, J. Alexandersson, P. Robert, A. Konig.
  
  Fully Automatic Speech-Based Analysis of the Semantic Verbal Fluency Task, in: Dementia and Geriatric Cognitive Disorders, June 2018, vol. 45, n^o 3-4, pp. 198 - 209.
  
  https://hal.inria.fr/hal-01850408
• 71M. Meshry, M. E. Hussein, M. Torki.
  
  Linear-time online action detection from 3D skeletal data using bags of gesturelets, in: WACV, 2016.
• 72S. Moisan, J.-P. Rigault, M. Acher, P. Collet, P. Lahire.
  
  Run Time Adaptation of Video-Surveillance Systems: A software Modeling Approach, in: ICVS, 8th International Conference on Computer Vision Systems, Sophia Antipolis, France, September 2011.
  
  http://hal.inria.fr/inria-00617279/en
• 73H.-W. Ng, V. D. Nguyen, V. Vonikakis, S. Winkler.
  
  Deep learning for emotion recognition on small datasets using transfer learning, in: Proceedings of the 2015 ACM on international conference on multimodal interaction, ACM, 2015, pp. 443–449.
• 74L. M. Rocha, S. Moisan, J.-P. Rigault, S. Sagar.
  
  Girgit: A Dynamically Adaptive Vision System for Scene Understanding, in: ICVS, Sophia Antipolis, France, September 2011.
  
  http://hal.inria.fr/inria-00616642/en
• 75R. Romdhane, E. Mulin, A. Derreumeaux, N. Zouba, J. Piano, L. Lee, I. Leroi, P. Mallea, R. David, M. Thonnat, F. Brémond, P. Robert.
  
  Automatic Video Monitoring system for assessment of Alzheimer's Disease symptoms, in: The Journal of Nutrition, Health and Aging Ms(JNHA), 2011, vol. JNHA-D-11-00004R1.
  
  http://hal.inria.fr/inria-00616747/en
• 76K. Simonyan, A. Zisserman.
  
  Very Deep Convolutional Networks for Large-Scale Image Recognition, in: CoRR, 2014, vol. abs/1409.1556.
• 77G. Vaquette, A. Orcesi, L. Lucat, C. Achard.
  
  The DAily Home LIfe Activity Dataset: A High Semantic Activity Dataset for Online Recognition, in: FG 2017, May 2017.
• 78T. Wang, S. Gong, X. Zhu, S. Wang.
  
  Person Re-identification by Video Ranking, in: ECCV, 2014.
• 79Z.-H. Zhou.
  
  A brief introduction to weakly supervised learning, in: National Science Review, 2017.