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
[1]
P. 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
[2]
S. 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.
[3]
C. 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
[4]
M. 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
[5]
M. 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
[6]
S. Moisan.
Knowledge Representation for Program Reuse, in: European Conference on Artificial Intelligence (ECAI), Lyon, France, July 2002, pp. 240-244.
[7]
S. 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.
[8]
A. 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
[9]
M. 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.
[10]
V. 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

[11]
I. 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
[12]
U. 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

[13]
F. 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
[14]
C. 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
[15]
S. 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
[16]
V. 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
[17]
F. 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
[18]
C. 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
[19]
J. 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

[20]
S. 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
[21]
S. 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
[22]
S. 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
[23]
S. 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
[24]
E. 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
[25]
S. 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
[26]
S. 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
[27]
F. 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
[28]
X. 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
[29]
U. 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
[30]
S. 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

[31]
C. 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
[32]
H. 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
[33]
H. 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
[34]
R. 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
[35]
Y. 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

[36]
A. 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
[37]
R. 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
[38]
T. 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
[39]
A. 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
[40]
K. 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.
[41]
K. Kang, W. Ouyang, H. Li, X. Wang.
Object Detection from Video Tubelets with Convolutional Neural Networks, 06 2016, pp. 817-825.