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ORCIDJenny Benois-Pineau
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- affiliation: University Bordeaux, France
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2020 – today
- 2023
[j53]Alexey Zhukov, Jenny Benois-Pineau, Romain Giot:
Evaluation of Explanation Methods of AI - CNNs in Image Classification Tasks with Reference-based and No-reference Metrics. Adv. Artif. Intell. Mach. Learn. 3(1): 620-646 (2023)- [i17]Pierre-Etienne Martin, Jordan Calandre, Boris Mansencal, Jenny Benois-Pineau, Renaud Péteri, Laurent Mascarilla, Julien Morlier:
Sport Task: Fine Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2022. CoRR abs/2301.13576 (2023) - 2022
- [j52]Rupayan Mallick
, Thinhinane Yebda, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Hélène Amieva:
Detection of Risky Situations for Frail Adults With Hybrid Neural Networks on Multimodal Health Data. IEEE Multim. 29(1): 7-17 (2022) - [j51]Attila Fejér, Zoltán Nagy, Jenny Benois-Pineau, Péter Szolgay, Aymar de Rugy, Jean-Philippe Domenger:
Hybrid FPGA-CPU-Based Architecture for Object Recognition in Visual Servoing of Arm Prosthesis. J. Imaging 8(2): 44 (2022) - [j50]Ibtissam Bakkouri, Karim Afdel, Jenny Benois-Pineau, Gwénaëlle Catheline:
BG-3DM2F: Bidirectional gated 3D multi-scale feature fusion for Alzheimer's disease diagnosis. Multim. Tools Appl. 81(8): 10743-10776 (2022) - [j49]Abraham Montoya Obeso, Jenny Benois-Pineau, Mireya Saraí García-Vázquez, Alejandro Alvaro Ramírez-Acosta:
Visual vs internal attention mechanisms in deep neural networks for image classification and object detection. Pattern Recognit. 123: 108411 (2022) - [c132]Abel Kahsay Gebreslassie, Jenny Benois-Pineau, Akka Zemmari:
Streaming learning with Move-to-Data approach for image classification. CBMI 2022: 167-173 - [c131]Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari:
I Saw: A Self-Attention Weighted Method for Explanation of Visual Transformers. ICIP 2022: 3271-3275 - [c130]Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari, Thinhinane Yebda, Marion Pech, Hélène Amieva, Laura Middleton:
Pooling Transformer for Detection of Risk Events in In-The-Wild Video Ego Data. ICPR 2022: 2778-2784 - [c129]Luca Bourroux, Jenny Benois-Pineau, Romain Bourqui, Romain Giot:
Multi Layered Feature Explanation Method for Convolutional Neural Networks. ICPRAI (1) 2022: 603-614 - [c128]Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Thinhinane Yebda, Hélène Amieva, Laura Middleton:
A Hybrid Transformer Network for Detection of Risk Situations on Multimodal Life-Log Health Data. ICDAR@ICMR 2022: 22-26 - [i16]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Akka Zemmari, Julien Morlier:
3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition. CoRR abs/2204.08460 (2022) - [i15]Alexey Zhukov, Jenny Benois-Pineau, Romain Giot:
Reference-based and No-reference Metrics to Evaluate Explanation Methods of AI - CNNs in Image Classification Tasks. CoRR abs/2212.01222 (2022) - 2021
- [j48]Attila Fejér, Zoltán Nagy, Jenny Benois-Pineau, Péter Szolgay, Aymar de Rugy, Jean-Philippe Domenger:
Implementation of Scale Invariant Feature Transform detector on FPGA for low-power wearable devices for prostheses control. Int. J. Circuit Theory Appl. 49(7): 2255-2273 (2021) - [j47]Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari:
Review of white box methods for explanations of convolutional neural networks in image classification tasks. J. Electronic Imaging 30(5) (2021) - [j46]Stevan Rudinac, Jenny Benois-Pineau, Stéphane Marchand-Maillet:
Special issue on content-based multimedia indexing in the era of artificial intelligence. Multim. Tools Appl. 80(15): 23133-23134 (2021) - [c127]Rupayan Mallick, Thinhinane Yebda, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Hélène Amieva:
A GRU Neural Network with attention mechanism for detection of risk situations on multimodal lifelog data. CBMI 2021: 1-6 - [c126]Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari:
A Hierarchical Classification System for the Detection of Covid-19 from Chest X-Ray Images. ICCVW 2021: 519-528 - [c125]Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari, Gwenaelle Catheline:
Explaining 3D CNNs for Alzheimer's Disease Classification on sMRI Images with Multiple ROIs. ICIP 2021: 284-288 - [c124]Loann Giovannangeli, Romain Giot, David Auber, Jenny Benois-Pineau, Romain Bourqui:
Analysis of Deep Neural Networks Correlations with Human Subjects on a Perception Task. IV 2021: 129-136 - [c123]Pierre-Etienne Martin, Jordan Calandre, Boris Mansencal, Jenny Benois-Pineau, Renaud Péteri, Laurent Mascarilla, Julien Morlier:
Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from videos for MediaEval 2021. MediaEval 2021 - [c122]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier:
Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis. MMSports@MM 2021: 35-41 - [c121]Thinhinane Yebda, Jenny Benois-Pineau, Marion Pech, Hélène Amieva, Laura Middleton, Max Bergelt:
Multimodal Sensor Data Analysis for Detection of Risk Situations of Fragile People in @home Environments. MMM (2) 2021: 342-353 - [p10]Jenny Benois-Pineau:
Introduction. Multi-faceted Deep Learning 2021: 1-3 - [p9]Akka Zemmari, Jenny Benois-Pineau:
Deep Neural Networks: Models and Methods. Multi-faceted Deep Learning 2021: 5-38 - [p8]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Akka Zemmari, Julien Morlier:
3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition. Multi-faceted Deep Learning 2021: 199-229 - [p7]Jenny Benois-Pineau, Akka Zemmari:
Conclusion. Multi-faceted Deep Learning 2021: 315-316 - [e6]Jenny Benois-Pineau, Akka Zemmari:
Multi-faceted Deep Learning - Models and Data. Springer 2021, ISBN 978-3-030-74477-9 [contents] - [i14]Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari:
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks. CoRR abs/2104.02548 (2021) - [i13]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier:
Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis. CoRR abs/2109.14306 (2021) - [i12]Pierre-Etienne Martin, Jordan Calandre, Boris Mansencal, Jenny Benois-Pineau, Renaud Péteri, Laurent Mascarilla, Julien Morlier:
Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2021. CoRR abs/2112.11384 (2021) - 2020
- [b1]Akka Zemmari, Jenny Benois-Pineau:
Deep Learning in Mining of Visual Content. Springer Briefs in Computer Science, Springer 2020, ISBN 978-3-030-34375-0, pp. 1-97 - [j45]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier:
Fine grained sport action recognition with Twin spatio-temporal convolutional neural networks. Multim. Tools Appl. 79(27-28): 20429-20447 (2020) - [c120]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier:
3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks. ICPR 2020: 6019-6026 - [c119]Kazi Ahmed Asif Fuad, Pierre-Etienne Martin, Romain Giot, Romain Bourqui, Jenny Benois-Pineau, Akka Zemmari:
Features Understanding in 3D CNNs for Actions Recognition in Video. IPTA 2020: 1-6 - [c118]Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Julien Morlier:
Classification of Strokes in Table Tennis with a Three Stream Spatio-Temporal CNN for MediaEval 2020. MediaEval 2020 - [c117]Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Laurent Mascarilla, Jordan Calandre, Julien Morlier:
Sports Video Classification: Classification of Strokes in Table Tennis for MediaEval 2020. MediaEval 2020 - [c116]Thinhinane Yebda, Jenny Benois-Pineau, Marion Pech, Hélène Amièva, Cathal Gurrin:
Detection of Semantic Risk Situations in Lifelog Data for Improving Life of Frail People. ICMR 2020: 402-406 - [c115]Sabrina Kletz, Klaus Schoeffmann, Andreas Leibetseder, Jenny Benois-Pineau, Heinrich Husslein:
Instrument Recognition in Laparoscopy for Technical Skill Assessment. MMM (2) 2020: 589-600 - [i11]Miltiadis Poursanidis, Jenny Benois-Pineau, Akka Zemmari, Boris Mansencal, Aymar de Rugy:
Move-to-Data: A new Continual Learning approach with Deep CNNs, Application for image-class recognition. CoRR abs/2006.07152 (2020) - [i10]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier:
3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks. CoRR abs/2012.05342 (2020)
2010 – 2019
- 2019
- [j44]Sébastien Mick, Mattieu Lapeyre, Pierre Rouanet, Christophe Halgand, Jenny Benois-Pineau, Florent Paclet, Daniel Cattaert, Pierre-Yves Oudeyer, Aymar de Rugy:
Reachy, a 3D-Printed Human-Like Robotic Arm as a Testbed for Human-Robot Control Strategies. Frontiers Neurorobotics 13: 65 (2019) - [j43]Souad Chaabouni, Jenny Benois-Pineau, Chokri Ben Amar:
ChaboNet : Design of a deep CNN for prediction of visual saliency in natural video. J. Vis. Commun. Image Represent. 60: 79-93 (2019) - [j42]Abraham Montoya Obeso, Jenny Benois-Pineau, Mireya S. García-Vázquez, Alejandro Alvaro Ramírez-Acosta:
Saliency-based selection of visual content for deep convolutional neural networks - Application to architectural style classification. Multim. Tools Appl. 78(8): 9553-9576 (2019) - [j41]Iván González-Díaz, Jenny Benois-Pineau, Jean-Philippe Domenger, Daniel Cattaert, Aymar de Rugy:
Perceptually-guided deep neural networks for ego-action prediction: Object grasping. Pattern Recognit. 88: 223-235 (2019) - [c114]Ibtissam Bakkouri, Karim Afdel, Jenny Benois-Pineau, Gwenaelle Catheline:
Recognition of Alzheimer's Disease on sMRI based on 3D Multi-Scale CNN Features and a Gated Recurrent Fusion Unit. CBMI 2019: 1-6 - [c113]Sabrina Kletz, Klaus Schoeffmann, Jenny Benois-Pineau, Heinrich Husslein:
Identifying Surgical Instruments in Laparoscopy Using Deep Learning Instance Segmentation. CBMI 2019: 1-6 - [c112]Abraham Montoya Obeso, Jenny Benois-Pineau, Mireya Saraí García-Vázquez, Alejandro Alvaro Ramírez-Acosta:
Dropping Activations in Convolutional Neural Networks with Visual Attention Maps. CBMI 2019: 1-4 - [c111]Thinhinane Yebda, Jenny Benois-Pineau, Hélène Amieva, Benjamin Frolicher:
Multi-sensing of fragile persons for risk situation detection: devices, methods, challenges. CBMI 2019: 1-6 - [c110]Attila Fejér, Zoltán Nagy, Jenny Benois-Pineau, Péter Szolgay, Aymar de Rugy, Jean-Philippe Domenger:
FPGA-based SIFT implementation for wearable computing. DDECS 2019: 1-4 - [c109]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier:
Optimal Choice of Motion Estimation Methods for Fine-Grained Action Classification with 3D Convolutional Networks. ICIP 2019: 554-558 - [c108]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri:
Fine-Grained Action Detection and Classification in Table Tennis with Siamese Spatio-Temporal Convolutional Neural Network. ICIP 2019: 3027-3028 - [c107]Abraham Montoya Obeso, Jenny Benois-Pineau, Mireya Saraí García-Vázquez, Alejandro Alvaro Ramírez-Acosta:
Forward-backward visual saliency propagation in Deep NNs vs internal attentional mechanisms. IPTA 2019: 1-6 - [c106]Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Julien Morlier:
Siamese Spatio-Temporal Convolutional Neural Network for Stroke Classification in Table Tennis Games. MediaEval 2019 - [c105]Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Laurent Mascarilla, Jordan Calandre, Julien Morlier:
Sports Video Annotation: Detection of Strokes in Table Tennis Task for MediaEval 2019. MediaEval 2019 - [c104]Abraham Montoya Obeso, Jenny Benois-Pineau, Mireya Saraí García-Vázquez, Alejandro Alvaro Ramírez-Acosta:
Organizing Cultural Heritage with Deep Features. SUMAC @ ACM Multimedia 2019: 55-59 - 2018
- [j40]Jessica Beltrán, Mireya S. García-Vázquez, Jenny Benois-Pineau, Luis Miguel Gutiérrez-Robledo, Jean-François Dartigues:
Computational Techniques for Eye Movements Analysis towards Supporting Early Diagnosis of Alzheimer's Disease: A Review. Comput. Math. Methods Medicine 2018: 2676409:1-2676409:13 (2018) - [j39]Georgios Meditskos, Pierre-Marie Plans, Thanos G. Stavropoulos, Jenny Benois-Pineau, Vincent Buso, Ioannis Kompatsiaris:
Multi-modal activity recognition from egocentric vision, semantic enrichment and lifelogging applications for the care of dementia. J. Vis. Commun. Image Represent. 51: 169-190 (2018) - [c103]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier:
Sport Action Recognition with Siamese Spatio-Temporal CNNs: Application to Table Tennis. CBMI 2018: 1-6 - [c102]Abraham Montoya Obeso, Jenny Benois-Pineau, Mireya Saraí García-Vázquez, Alejandro Alvaro Ramírez-Acosta:
Introduction of Explicit Visual Saliency in Training of Deep CNNs: Application to Architectural Styles Classification. CBMI 2018: 1-5 - [c101]Karim Aderghal, Alexander V. Khvostikov, Andrei S. Krylov, Jenny Benois-Pineau, Karim Afdel, Gwenaelle Catheline:
Classification of Alzheimer Disease on Imaging Modalities with Deep CNNs Using Cross-Modal Transfer Learning. CBMS 2018: 345-350 - [c100]Stefan Petscharnig, Klaus Schöffmann, Jenny Benois-Pineau, Souad Chaabouni, Jörg Keckstein:
Early and Late Fusion of Temporal Information for Classification of Surgical Actions in Laparoscopic Gynecology. CBMS 2018: 369-374 - [c99]Pierre Gillot, Jenny Benois-Pineau, Akka Zemmari, Yurii E. Nesterov:
Increasing Training Stability for Deep CNNS. ICIP 2018: 3423-3427 - [c98]Abraham Montoya Obeso, Jenny Benois-Pineau, Kamel Guissous, Valérie Gouet-Brunet, Mireya S. García-Vázquez, Alejandro Alvaro Ramírez-Acosta:
Comparative study of visual saliency maps in the problem of classification of architectural images with Deep CNNs. IPTA 2018: 1-6 - [c97]Iván González-Díaz, Jenny Benois-Pineau, Jean-Philippe Domenger, Aymar de Rugy:
Perceptually-guided Understanding of Egocentric Video Content: Recognition of Objects to Grasp. ICMR 2018: 434-441 - [c96]Boris Mansencal, Jenny Benois-Pineau, Hervé Bredin, Georges Quénot:
IRIM at TRECVID 2018: Instance Search. TRECVID 2018 - [i9]Alexander V. Khvostikov, Karim Aderghal, Jenny Benois-Pineau, Andrey S. Krylov, Gwenaelle Catheline:
3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies. CoRR abs/1801.05968 (2018) - [i8]Alexander V. Khvostikov, Karim Aderghal, Andrey S. Krylov, Gwenaelle Catheline, Jenny Benois-Pineau:
3D Inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's Disease diagnostics. CoRR abs/1809.03972 (2018) - 2017
- [j38]Philippe Pérez de San Roman, Jenny Benois-Pineau, Jean-Philippe Domenger, Florent Paclet, Daniel Cattaert, Aymar de Rugy:
Saliency Driven Object recognition in egocentric videos with deep CNN: toward application in assistance to Neuroprostheses. Comput. Vis. Image Underst. 164: 82-91 (2017) - [j37]Olfa Ben Ahmed, Jenny Benois-Pineau, Michèle Allard, Gwénaëlle Catheline, Chokri Ben Amar:
Recognition of Alzheimer's disease and Mild Cognitive Impairment with multimodal image-derived biomarkers and Multiple Kernel Learning. Neurocomputing 220: 98-110 (2017) - [j36]Abraham Montoya Obeso, Jenny Benois-Pineau, Alejandro Alvaro Ramírez-Acosta, Mireya S. García-Vázquez:
Architectural style classification of Mexican historical buildings using deep convolutional neural networks and sparse features. J. Electronic Imaging 26(1): 11016 (2017) - [j35]Souad Chaabouni, Jenny Benois-Pineau, Francois Tison, Chokri Ben Amar, Akka Zemmari:
Prediction of visual attention with deep CNN on artificially degraded videos for studies of attention of patients with Dementia. Multim. Tools Appl. 76(21): 22527-22546 (2017) - [j34]Samah Bouzidi, Aurelie Emilien, Jenny Benois-Pineau, Bruno Quesson, Chokri Ben Amar, Pascal Desbarats:
Segmentation of left ventricle on dynamic MRI sequences for blood flow cancellation in Thermotherapy. Signal Process. Image Commun. 59: 37-49 (2017) - [c95]Abraham Montoya Obeso, Mireya S. García-Vázquez, Alejandro Alvaro Ramírez-Acosta, Jenny Benois-Pineau:
Connoisseur: classification of styles of Mexican architectural heritage with deep learning and visual attention prediction. CBMI 2017: 16:1-16:7 - [c94]Karim Aderghal, Jenny Benois-Pineau, Karim Afdel, Gwénaëlle Catheline:
FuseMe: Classification of sMRI images by fusion of Deep CNNs in 2D+ϵ projections. CBMI 2017: 34:1-34:7 - [c93]Jenny Benois-Pineau, M. Mitrea:
Extraction of saliency in images and video: Problems, methods and applications. A survey. IPTA 2017: 1-6 - [c92]Jenny Benois-Pineau, Mireya S. García-Vázquez, L. A. Oropesa Moralez, Alejandro Alvaro Ramírez-Acosta:
Semi-Automatic Annotation with Predicted Visual Saliency Maps for Object Recognition in Wearable Video. WearMMe@ICMR 2017: 10-14 - [c91]Karim Aderghal, Jenny Benois-Pineau, Karim Afdel:
Classification of sMRI for Alzheimer's disease Diagnosis with CNN: Single Siamese Networks with 2D+? Approach and Fusion on ADNI. ICMR 2017: 494-498 - [c90]Karim Aderghal, Manuel Boissenin, Jenny Benois-Pineau, Gwénaëlle Catheline, Karim Afdel:
Classification of sMRI for AD Diagnosis with Convolutional Neuronal Networks: A Pilot 2-D+ \epsilon Study on ADNI. MMM (1) 2017: 690-701 - [c89]Boris Mansencal, Jenny Benois-Pineau, Hervé Bredin, Alexandre Benoît, Nicolas Voiron, Patrick Lambert, Hervé Le Borgne, Adrian Popescu, Alexandru-Lucian Gînsca, Georges Quénot:
IRIM at TRECVID 2017: Instance Search. TRECVID 2017 - [p6]Patrick Le Callet, Jenny Benois-Pineau:
Visual Content Indexing and Retrieval with Psycho-Visual Models. Visual Content Indexing and Retrieval with Psycho-Visual Models 2017: 1-10 - [p5]Souad Chaabouni, Jenny Benois-Pineau, Akka Zemmari, Chokri Ben Amar:
Deep Saliency: Prediction of Interestingness in Video with CNN. Visual Content Indexing and Retrieval with Psycho-Visual Models 2017: 43-74 - [e5]Jenny Benois-Pineau, Patrick Le Callet:
Visual Content Indexing and Retrieval with Psycho-Visual Models. Springer 2017, ISBN 978-3-319-57686-2 [contents] - 2016
- [j33]Gabriel Sargent, Karina Perez-Daniel, Andrei Stoian, Jenny Benois-Pineau, Sofian Maabout, Henri Nicolas, Mariko Nakano-Miyatake, Jean Carrive:
A scalable summary generation method based on cross-modal consensus clustering and OLAP cube modeling. Multim. Tools Appl. 75(15): 9073-9094 (2016) - [j32]Carlos Fernando Crispim Junior, Vincent Buso, Konstantinos Avgerinakis, Georgios Meditskos, Alexia Briassouli, Jenny Benois-Pineau, Ioannis Kompatsiaris, François Brémond:
Semantic Event Fusion of Different Visual Modality Concepts for Activity Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1598-1611 (2016) - [j31]Iván González-Díaz, Vincent Buso, Jenny Benois-Pineau:
Perceptual modeling in the problem of active object recognition in visual scenes. Pattern Recognit. 56: 129-141 (2016) - [j30]Andrei Stoian, Marin Ferecatu, Jenny Benois-Pineau, Michel Crucianu:
Fast Action Localization in Large-Scale Video Archives. IEEE Trans. Circuits Syst. Video Technol. 26(10): 1917-1930 (2016) - [c88]Souad Chaabouni, Francois Tison, Jenny Benois-Pineau, Chokri Ben Amar:
Prediction of visual attention with Deep CNN for studies of neurodegenerative diseases. CBMI 2016: 1-6 - [c87]Souad Chaabouni, Jenny Benois-Pineau, Chokri Ben Amar:
Transfer learning with deep networks for saliency prediction in natural video. ICIP 2016: 1604-1608 - [c86]Boris Mansencal, Jenny Benois-Pineau, Hervé Bredin, Alexandre Benoît, Nicolas Voiron, Patrick Lambert, Georges Quénot:
IRIM at TRECVID 2016: Instance Search. TRECVID 2016 - [i7]Souad Chaabouni, Jenny Benois-Pineau, Ofer Hadar, Chokri Ben Amar:
Deep Learning for Saliency Prediction in Natural Video. CoRR abs/1604.08010 (2016) - [i6]Philippe Pérez de San Roman, Jenny Benois-Pineau, Jean-Philippe Domenger, Florent Paclet, Daniel Cattaert, Aymar de Rugy:
Saliency Driven Object recognition in egocentric videos with deep CNN. CoRR abs/1606.07256 (2016) - 2015
- [j29]Olfa Ben Ahmed, Maxim M. Mizotin, Jenny Benois-Pineau, Michèle Allard, Gwénaëlle Catheline, Chokri Ben Amar:
Alzheimer's disease diagnosis on structural MR images using circular harmonic functions descriptors on hippocampus and posterior cingulate cortex. Comput. Medical Imaging Graph. 44: 13-25 (2015) - [j28]Klaus Schoeffmann, Jenny Benois-Pineau, Bernard Mérialdo, Tamás Szirányi:
Guest editorial: Content-Based Multimedia Indexing. Multim. Tools Appl. 74(4): 1137-1142 (2015) - [j27]Olfa Ben Ahmed, Jenny Benois-Pineau, Michèle Allard, Chokri Ben Amar, Gwénaëlle Catheline:
Classification of Alzheimer's disease subjects from MRI using hippocampal visual features. Multim. Tools Appl. 74(4): 1249-1266 (2015) - [j26]Vincent Buso, Jenny Benois-Pineau, Jean-Philippe Domenger:
Geometrical cues in visual saliency models for active object recognition in egocentric videos. Multim. Tools Appl. 74(22): 10077-10095 (2015) - [j25]Vincent Buso, Iván González-Díaz, Jenny Benois-Pineau:
Goal-oriented top-down probabilistic visual attention model for recognition of manipulated objects in egocentric videos. Signal Process. Image Commun. 39: 418-431 (2015) - [c85]Alejandro Ramírez, Jenny Benois-Pineau, Mireya S. García-Vázquez, Andrei Stoian, Michel Crucianu, Mariko Nakano, Francisco J. García-Ugalde, Jean-Luc Rouas, Henri Nicolas, Jean Carrive:
The Mex-Culture Multimedia platform: Preservation and dissemination of the Mexican Culture. CBMI 2015: 1-6 - [c84]Andrei Stoian, Marin Ferecatu, Jenny Benois-Pineau, Michel Crucianu:
Scalable action localization with kernel-space hashing. ICIP 2015: 257-261 - [c83]Olfa Ben Ahmed, Jenny Benois-Pineau, Chokri Ben Amar, Michele Aliara, Gwenaelle Catheline:
Features-based approach for Alzheimer's disease diagnosis using visual pattern of water diffusion in tensor diffusion imaging. ICIP 2015: 2840-2844 - [c82]Vincent Buso, Iván González-Díaz, Jenny Benois-Pineau:
Object recognition with top-down visual attention modeling for behavioral studies. ICIP 2015: 4431-4435 - [c81]Vincent Buso, Louise Hopper, Jenny Benois-Pineau, Pierre-Marie Plans, Rémi Mégret:
Recognition of Activities of Daily Living in natural "at home" scenario for assessment of Alzheimer's disease patients. ICME Workshops 2015: 1-6 - [c80]Samah Bouzidi, Aurelie Emilien, Bruno Quesson, Chokri Ben Amar, Jenny Benois-Pineau, Pascal Desbarats:
Segmentation of left ventricle on MRI sequences for blood flow cancelation in thermotherapy. IPTA 2015: 434-439 - [c79]Hervé Le Borgne, Philippe Henri Gosselin, David Picard, Miriam Redi, Bernard Mérialdo, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Nadia Derbas, Mateusz Budnik, Georges Quénot, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat:
IRIM at TRECVID 2015: Semantic Indexing. TRECVID 2015 - [p4]Alexia Briassouli, Jenny Benois-Pineau, Alexander G. Hauptmann:
Overview of Multimedia in Healthcare. Health Monitoring and Personalized Feedback using Multimedia Data 2015: 1-6 - [p3]Iván González-Díaz, Vincent Buso, Jenny Benois-Pineau, Guillaume Bourmaud, Gaelle Usseglio, Rémi Mégret, Yann Gaëstel, Jean-François Dartigues:
Recognition of Instrumental Activities of Daily Living in Egocentric Video for Activity Monitoring of Patients with Dementia. Health Monitoring and Personalized Feedback using Multimedia Data 2015: 161-178 - [e4]Alexia Briassouli, Jenny Benois-Pineau, Alexander G. Hauptmann:
Health Monitoring and Personalized Feedback using Multimedia Data. Springer 2015, ISBN 978-3-319-17962-9 [contents] - 2014
- [j24]Stéphane Marchand-Maillet, Patrick Lambert, Bernard Mérialdo, Jenny Benois-Pineau:
Preface to the special issue on Content-Based Multimedia Indexing. Multim. Tools Appl. 69(2): 423-427 (2014) - [j23]Svebor Karaman, Jenny Benois-Pineau, Vladislavs Dovgalecs, Rémi Mégret, Julien Pinquier, Régine André-Obrecht, Yann Gaëstel, Jean-François Dartigues:
Hierarchical Hidden Markov Model in detecting activities of daily living in wearable videos for studies of dementia. Multim. Tools Appl. 69(3): 743-771 (2014) - [c78]