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STARS - 2019
STARS - 2019
Project-Team Stars
Team, Visitors, External Collaborators
Overall Objectives
Research Program
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
Project-Team Stars
Team, Visitors, External Collaborators
Overall Objectives
Research Program
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography


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Bibliography

Major publications by the team in recent years
  • 1P. Bilinski, F. Bremond.

    Video Covariance Matrix Logarithm for Human Action Recognition in Videos, in: IJCAI 2015 - 24th International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, July 2015.

    https://hal.inria.fr/hal-01216849
  • 2S. Bąk, G. Charpiat, E. Corvee, F. Bremond, M. Thonnat.

    Learning to match appearances by correlations in a covariance metric space, in: European Conference on Computer Vision, Springer, 2012, pp. 806–820.
  • 3C. F. Crispim-Junior, V. Buso, K. Avgerinakis, G. Meditskos, A. Briassouli, J. Benois-Pineau, Y. Kompatsiaris, F. Bremond.

    Semantic Event Fusion of Different Visual Modality Concepts for Activity Recognition, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, vol. 38, pp. 1598 - 1611. [ DOI : 10.1109/TPAMI.2016.2537323 ]

    https://hal.inria.fr/hal-01399025
  • 4M. Kaâniche, F. Bremond.

    Gesture Recognition by Learning Local Motion Signatures, in: CVPR 2010 : IEEE Conference on Computer Vision and Pattern Recognition, San Franscico, CA, United States, IEEE Computer Society Press, June 2010.

    https://hal.inria.fr/inria-00486110
  • 5M. Kaâniche, F. Bremond.

    Recognizing Gestures by Learning Local Motion Signatures of HOG Descriptors, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012.

    https://hal.inria.fr/hal-00696371
  • 6S. Moisan.

    Knowledge Representation for Program Reuse, in: European Conference on Artificial Intelligence (ECAI), Lyon, France, July 2002, pp. 240-244.
  • 7S. 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, no 4, pp. 501-507.
  • 8A. 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, no 30, pp. 441-471.

    http://hal.inria.fr/inria-00524499/en
  • 9M. 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, no 5.
  • 10V. Vu, F. Bremond, 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.
Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 11I. Sarray.

    Design of human activity recognition systems, Jean-Paul Bodeveix, Professeur, Université Paul Sabatier Toulouse ; Frédéric Boulanger, Professeur, Centrale SUPELEC Paris ; Frédéric Mallet, Professeur, Université Côte d'Azur ; Térésa Colombi, Directrice, LUDOTIC, March 2019.

    https://hal.inria.fr/tel-02145417
  • 12U. Ujjwal.

    Handling the speed-accuracy trade-off in deep-learning based pedestrian detection systems, Inria Sophia Antipolis - Méditerranée ; Universite cote d'Azur, November 2019.

    https://hal.inria.fr/tel-02416418

Articles in International Peer-Reviewed Journals

  • 13F. Bremond, R. Trichet.

    How to train your dragon: best practices in pedestrian classifier training, in: IEEE Access, January 2019, pp. 1-1. [ DOI : 10.1109/ACCESS.2019.2891950 ]

    https://hal.archives-ouvertes.fr/hal-02422526
  • 14C. Caetano, V. de Melo, F. Bremond, J. A. Dos Santos, W. Robson Schwartz.

    Magnitude-Orientation Stream Network and Depth Information applied to Activity Recognition, in: Journal of Visual Communication and Image Representation, August 2019.

    https://hal.archives-ouvertes.fr/hal-02422536
  • 15S. L. Happy, A. Dantcheva, F. Bremond.

    A Weakly Supervised Learning Technique for Classifying Facial Expressions, in: Pattern Recognition Letters, December 2019. [ DOI : 10.1016/j.patrec.2019.08.025 ]

    https://hal.inria.fr/hal-02381439
  • 16V. Manera, S. Abrahams, L. Agüera-Ortiz, F. Bremond, R. David, K. Fairchild, A. Gros, C. Hanon, M. Husain, A. König, P. Lockwood, M. Pino, R. Radakovic, G. Robert, A. Slachevsky, F. Stella, A. Tribouillard, P. D. Trimarchi, F. Verhey, J. Yesavage, R. Zeghari, P. Robert.

    Recommendations for the Nonpharmacological Treatment of Apathy in Brain Disorders, in: American Journal of Geriatric Psychiatry, August 2019. [ DOI : 10.1016/j.jagp.2019.07.014 ]

    https://hal.archives-ouvertes.fr/hal-02339088
  • 17F. Negin, F. Bremond.

    An Unsupervised Framework for Online Spatiotemporal Detection of Activities of Daily Living by Hierarchical Activity Models, in: Sensors, October 2019, vol. 19, no 19, 4237 p. [ DOI : 10.3390/s19194237 ]

    https://hal.archives-ouvertes.fr/hal-02422522
  • 18C. Rathgeb, A. Dantcheva, C. Busch.

    Impact and Detection of Facial Beautification in Face Recognition: An Overview, in: IEEE Access, December 2019. [ DOI : 10.1109/ACCESS.2019.DOI ]

    https://hal.inria.fr/hal-02378939
  • 19J. Tröger, N. Linz, A. König, P. Robert, J. Alexandersson, J. Peter, J. Kray.

    Exploitation vs. exploration—computational temporal and semantic analysis explains semantic verbal fluency impairment in Alzheimer's disease, in: Neuropsychologia, August 2019, vol. 131, pp. 53-61. [ DOI : 10.1016/j.neuropsychologia.2019.05.007 ]

    https://hal.archives-ouvertes.fr/hal-02339134

International Conferences with Proceedings

  • 20S. Das, A. Chaudhary, F. Bremond, 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
  • 21S. Das, R. Dai, M. F. Koperski, L. Minciullo, L. Garattoni, F. Bremond, G. Francesca.

    Toyota Smarthome: Real-World Activities of Daily Living, in: ICCV 2019 -17th International Conference on Computer Vision, Seoul, South Korea, October 2019.

    https://hal.inria.fr/hal-02366687
  • 22S. Das, M. Thonnat, F. Bremond.

    Looking deeper into Time for Activities of Daily Living Recognition, in: WACV 2020 - IEEE Winter Conference on Applications of Computer Vision, Snowmass village, Colorado, United States, March 2020.

    https://hal.inria.fr/hal-02368366
  • 23S. Das, M. Thonnat, K. Sakhalkar, M. F. Koperski, F. Bremond, G. Francesca.

    A New Hybrid Architecture for Human Activity Recognition from RGB-D videos, in: MMM 2019 - 25th International Conference on MultiMedia Modeling, Thessaloniki, Greece, Lecture Notes in Computer Science, Springer, January 2019, vol. 11296, pp. 493-505. [ DOI : 10.1007/978-3-030-05716-9_40 ]

    https://hal.inria.fr/hal-01896061
  • 24E. De Maria, T. L'Yvonnet, S. Moisan, J.-P. Rigault.

    Probabilistic Activity Recognition For Serious Games With Applications In Medicine, in: ICFEM 2019 - FTSCS workshop, Shenzhen, China, November 2019.

    https://hal.inria.fr/hal-02341600
  • 25S. L. Happy, A. Dantcheva, A. Das, R. Zeghari, P. Robert, F. Bremond.

    Characterizing the State of Apathy with Facial Expression and Motion Analysis, in: FG 2019 - 14th IEEE International Conference on Automatic Face and Gesture Recognition, Lille, France, May 2019.

    https://hal.inria.fr/hal-02379341
  • 26S. L. Happy, A. Dantcheva, A. Routray.

    Dual-threshold Based Local Patch Construction Method for Manifold Approximation And Its Application to Facial Expression Analysis, in: EUSIPCO 2019 - 27th European Signal Processing Conference, A Coruna, Spain, September 2019.

    https://hal.inria.fr/hal-02378985
  • 27F. M. Khan, F. Bremond.

    Cross domain Residual Transfer Learning for Person Re-identification, in: WACV 2019 - IEEE's and the PAMI-TC's premier meeting on applications of computer vision, Waikoloa Village, Hawaii, United States, January 2019.

    https://hal.inria.fr/hal-01947523
  • 28X. Niu, X. Zhao, H. Han, A. Das, A. Dantcheva, S. Shan, X. Chen.

    Robust Remote Heart Rate Estimation from Face Utilizing Spatial-temporal Attention, in: FG 2019 - 14th IEEE International Conference on Automatic Face and Gesture Recognition, Lille, France, May 2019.

    https://hal.inria.fr/hal-02381138
  • 29U. Ujjwal, A. Dziri, B. Leroy, F. Bremond.

    A One-and-Half Stage Pedestrian Detector, in: WACV 2020 - IEEE Winter Conference on Applications of Computer Vision, Snowmass Village, United States, March 2020.

    https://hal.inria.fr/hal-02363756
  • 30S. Yu, H. Han, S. Shan, A. Dantcheva, X. Chen.

    Improving Face Sketch Recognition via Adversarial Sketch-Photo Transformation, in: FG 2019 - 14th IEEE International Conference on Automatic Face and Gesture Recognition, Lille, France, May 2019.

    https://hal.inria.fr/hal-02381115

Conferences without Proceedings

  • 31C. Caetano, J. Sena, F. Bremond, J. A. Dos Santos, W. Robson Schwartz.

    SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition, in: AVSS 2019 - 16th IEEE International Conference on Advanced Video and Signal-based Surveillance, Taipei, Taiwan, September 2019.

    https://hal.archives-ouvertes.fr/hal-02422551
  • 32H. Chen, B. Lagadec, F. Bremond.

    Partition and Reunion: A Two-Branch Neural Network for Vehicle Re-identification, in: CVPR Workshops 2019, Long Beach, United States, June 2019.

    https://hal.archives-ouvertes.fr/hal-02353527
  • 33H. Chen, B. Lagadec, F. Bremond.

    Learning Discriminative and Generalizable Representations by Spatial-Channel Partition for Person Re-Identification, in: WACV 2020 - IEEE Winter Conference on Applications of Computer Vision, Snowmass Village, United States, March 2020.

    https://hal.archives-ouvertes.fr/hal-02374246
  • 34R. Dai, L. Minciullo, L. Garattoni, G. Francesca, F. Bremond.

    Self-Attention Temporal Convolutional Network for Long-Term Daily Living Activity Detection, in: AVSS 2019 - 16th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), Taipei, Taiwan, September 2019.

    https://hal.archives-ouvertes.fr/hal-02357161
  • 35Y. Wang, P. Bilinski, F. Bremond, A. Dantcheva.

    ImaGINator: Conditional Spatio-Temporal GAN for Video Generation, in: WACV 2020 - Winter Conference on Applications of Computer Vision, Snowmass Village, United States, March 2020.

    https://hal.archives-ouvertes.fr/hal-02368319

Other Publications

  • 36A. König, V. Narayan, P. Aalten, I. H. Ramakers, N. Linz, J. Tröger, P. Robert.

    Novel Digitalized Markers for Screening and Disease Trajectory Tracking in Clinical Trials, July 2019, vol. 15, no 7, P158 p, AAIC 2019 - Alzheimer’s Association International Conference, Poster. [ DOI : 10.1016/j.jalz.2019.06.4324 ]

    https://hal.archives-ouvertes.fr/hal-02339170
  • 37R. Zeghari, P. Robert, V. Manera, M. Lorenzi, A. König.

    Towards a Multidimensional Assessment of Apathy in Neurocognitive Disorders, July 2019, vol. 15, no 7, 569 p, AAIC 2019 - Alzheimer's Association International Conference, Poster. [ DOI : 10.1016/j.jalz.2019.06.4514 ]

    https://hal.archives-ouvertes.fr/hal-02339152
References in notes
  • 38T. Chen, T. Moreau, Z. Jiang, L. Zheng, E. Yan, M. Cowan, H. Shen, L. Wang, Y. Hu, L. Ceze, C. Guestrin, A. Krishnamurthy.

    TVM: An Automated End-to-end Optimizing Compiler for Deep Learning, in: Proceedings of the 12th USENIX Conference on Operating Systems Design and Implementation, Berkeley, CA, USA, OSDI'18, USENIX Association, 2018, pp. 579–594.

    http://dl.acm.org/citation.cfm?id=3291168.3291211
  • 39A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, H. Adam.

    MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications, in: CoRR, 2017, vol. abs/1704.04861.

    http://arxiv.org/abs/1704.04861
  • 40K. Kang, H. Li, T. Xiao, W. Ouyang, J. Yan, X. Liu, X. Wang.

    Object Detection in Videos with Tubelet Proposal Networks, 07 2017, pp. 889-897.
  • 41K. Kang, W. Ouyang, H. Li, X. Wang.

    Object Detection from Video Tubelets with Convolutional Neural Networks, 06 2016, pp. 817-825.


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