Publications 2019

Année 2019:
Journals
 
  1. Saman Bashbaghi, Eric Granger, Robert Sabourin, Mostafa Parchami Deep Learning Architectures for Face Recognition in Video Surveillance, Deep Learning in Object Detection and Recognition pp 133-154 Nov 2019 

     
  2. Zaag, M., Botez, R. M., & Wong, T. CESSNA citation X engine model identification using neural networks and extended great deluge algorithms.,INCAS Bulletin, 11(2), 195-207, 2019 

     
  3. Li Wang,Senior Member, IEEE,DongNie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang,Fan Wang, Jing Xia, Zhengwang Wu, Jia-Wei Chen,Member, IEEE, Kim-Han Thung, Toan Duc Bui,Jitae Shin, Guodong Zeng, Guoyan Zheng,Member, IEEE, Vladimir S. Fonov, Andrew Doyle,Yongchao Xu, Pim Moeskops, Josien P. W. Pluim,Fellow, IEEE, Christian Desrosiers,Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana,Verónica Vilaplana, Weili Lin, Gang Li,Senior Member, IEEE,and Dinggang Shen,Fellow, IEEE Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge,IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 38, NO. 9, SEPTEMBER 2019 

     
  4. Mohamed Mhiri and Christian Desrosiers and Mohamed Cheriet Word spotting and recognition via a joint deep embedding of image and text,Pattern Recognition Volume 88, April 2019, Pages 312-320 

     
  5. Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger Deep Ordinal Classification with Inequality Constraints, published to CoRR, Nov 2019 

     
  6. Vriesman, D., Britto, A. S., Zimmer, A., Koerich, A. L., & Paludo, R. Automatic visual inspection of thermoelectric metal pipes, Signal, Image and Video Processing, 13(5), 975-983. July 2019 

     
  7. Fania Mokhayeri, Eric Granger Video Face Recognition Using Siamese Networks with Block-Sparsity Matching, IEEE TRANSACTION ON BIOMETRICS, BEHAVIOR, AND IDENTITY SCIENCE, Oct 2019 

     
  8. Esmaeilpour, M., Cardinal, P., & Koerich, A. L. Unsupervised feature learning for environmental sound classification using cycle consistent generative adversarial network., Paper Accepted for Publication in Applied Soft Computing, November 2019  

     
  9. Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger Deep weakly-supervised learning methods for classification and localization in histology images: a survey, published to CoRR ,Sept 2019 

     
  10. Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger Emotion Recognition with Spatial Attention and Temporal Softmax Pooling, Image Analysis and Recognition, Jul 2019 

     
  11. Juan D. S. Ortega, Mohammed Senoussaoui, Eric Granger, Marco Pedersoli, Patrick Cardinal, Alessandro L. Koerich Multimodal Fusion with Deep Neural Networks for Audio-VideoEmotion Recognition, Jul 2019 

     
  12. Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger Convolutional STN for Weakly Supervised Object Localization and Beyond, published to CoRR Dec 2019 

     
  13. A Chaddad, M Toews, C Desrosiers, T Niazi Deep radiomic analysis based on modeling information flow in convolutional neural networks, IEEE Access Jul 2019 

     
  14. Majid Masoumi, Matthew Toews, and Hervé Lombaert WaveletBrain: Characterization of human brain viaspectral graph wavelets, Jul 2019 

     
  15. Sajjad Abdoli, Luiz G. Hafemann, Jérome Rony, Ismail Ben Ayed, Patrick Cardinal and Alessandro L.Koerich Universal Adversarial Audio Perturbations, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE Nov 2019 

     
  16. Saypraseuth Mounsaveng, David Vazquez, Ismail Ben Ayed, Marco Pedersoli Adversarial Learning of General Transformations for Data Augmentation, Sept 2019 

     
  17. Li Wang,Senior Member, IEEE,DongNie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang,Fan Wang, Jing Xia, Zhengwang Wu, Jia-Wei Chen Benchmark on Automatic Six-Month-Old InfantBrain Segmentation Algorithms: TheiSeg-2017 Challenge, IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 38, NO. 9, SEPTEMBER 2019 

     
  18. Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger A Survey of Pruning Methods for Efficient Person Re-identification Across Domains, preprint 

     
  19. Silva, R.A., Britto. A.S., Enembreck, F., Sabourin, R. and Oliveira, L.S., CSBF: A Static Ensemble Fusion Method based on Centrality Score of Complex Networks, Computational Intelligence, October 2019 (Accepted). 

     
  20. Hafemann, L.G., Oliveira L.S. and Sabourin, R., Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification, IEEE Transactions on Information Forensics & Security, Vol. 14, No. 8, August 2019, pp 2153-2166. 

     
  21. Cao, H., Bernard, S., Sabourin, R. and Heutte, L, Random Forest Dissimilarity Based Multi-View Learning for Radiomics Application, Pattern Recognition, Vol. 88, April 2019, pp 185-197. 

     
  22. Souza, M., Cavalcanti, G.D.C., Cruz, M.O.R. and Sabourin, R., Online Local Pool Generation for Dynamic Classifier Selection, Pattern Recognition, Vol. 85, January 2019, pp 132-148. 

     
  23. Cruz, M.O.R., Oliveira, D., Cavalcanti, G.D.C. and Sabourin, R., FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection, Pattern Recognition, Vol. 85, January 2019, pp 149-160. 

     
  24. H Kervadec, J Dolz, M Tang, E Granger, Y Boykov, IB Ayed, Constrained-CNN losses for weakly supervised segmentation, Medical Image Analysis 54, 88-99, 2019. 

     
  25. MA Carbonneau, E Granger, G Gagnon, Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems, IEEE Transactions on Neural Networks and Learning Systems 30 (5), 1441-1451, 2019. 

     
  26. F Mokhayeri, E Granger, GA Bilodeaun, Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person, IEEE Transactions on Information Forensics & Security 14 (3), 757-772, 2019. 

     
  27. M. Esmailpour, P. Cardinal, A.L. Koerich. A Robust Approach for Securing Audio Classification Against Adversarial Attacks. IEEE Transactions on Information Forensics and Security. Accepted for Publication. November 2019. 

     
  28. M. Esmailpour, P. Cardinal, A.L. Koerich. Unsupervised Feature Learning for Environmental Sound Classification Using Weighted Cycle Consistent Generative Adversarial Network. Applied Soft Computing. Accepted for Publications. October 2019. 

     
  29. S. Abdoli, P. Cardinal, A.L. Koerich. End-to-End Environmental Sound Classification using a Deep Convolutional Neural Network. Expert Systems with Applications, 136 (12) 252-263, 2019. 

     
  30. D. Vriesman, A.S. Britto Jr, A. Zimmer, R. Paludo, A.L. Koerich. Automatic Visual Inspection of Thermoelectric Metal Pipes. Signal, Image and Video Processing, 13 (5) 975-983, 2019. 

     
 


Conferences

  1. Kwiatkowski, J., Lavertu, J. S., Gourrat, C., & Duchaine, V. Determining object properties from tactile events during grasp failure., In 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE) (pp. 1692-1698). 

     
  2. Iturrate, I., Roberge, E., Østergaard, E. H., Duchaine, V., & Savarimuthu, T. R. Improving the generalizability of robot assembly tasks learned from demonstration via cnn-based segmentation., In 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE) (pp. 553-560). 

     
  3. de Matos, J., de Souza Britto, A., de Oliveira, L. E. S., & Koerich, A. L. Texture CNN for Histopathological Image Classification, In 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS) (pp. 580-583). 

     
  4. Luo, Jie, Sedghi Alireza , Popuri Karteek , Cobzas Dana, Zhang Miaomiao , Preiswerk Frank , Toews Matthew , Golby Alexandra , Sugiyama Masashi , Wells William M. , Frisken Sarah On the Applicability of Registration Uncertainty, International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2019 pp 410-419 

     
  5. Nicolas Tremblay, Kaveh Kamali, Philippe Cardou, Christian Desrosiers, Marc Gouttefarde, Martin J.-D. Otis Eye-on-Hand Calibration Method for Cable-Driven Parallel Robots, International Conference on Cable-Driven Parallel Robots. CableCon 2019: Cable-Driven Parallel Robots pp 345-356 

     
  6. Belghait, Fodil and April, Alain and Hamet, Pavel and Tremblay, Johanne and Desrosiers, Christian A large-scale and extensible platform for precision medicine research, Proceedings of the 9th International Conference on Digital Public Health (p. 47- 54), 2019 

     
  7. Chaddad, Ahmad and Daniel, Paul and Sabri, Siham and Desrosiers, Christian and Abdulkarim, Bassam Integration of radiomic and multi-omic analyses predicts survival of newly diagnosed IDH1 wild-type glioblastoma, Cancers, 2019, vol. 11, no 8, p. 1148 

     
  8. Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, & Eric Granger Min-max Entropy for Weakly Supervised Pointwise Localization, Published as a conference paper at ICLR 2020 

     
  9. Francis Charette-Migneault, Eric Granger and Fania Mokhayeri Using Adaptive Trackers for Video Face Recognition froma Single Still Per Person, IPTA 2018: International Conference on Image Processing Theory, Tools and Applications 

     
  10. Madhu Kiran, Vivek Tiwari, Le Thanh Nguyen-Meidine, Louis-Antoine Blais Morin, Eric Granger On the Interaction Between Deep Detectors and Siamese Trackersin Video Surveillance, 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Nov 2019 

     
  11. Frank M. Hafner, Amran Bhuiyan, Julian F. P. Kooij, Eric Granger RGB-Depth Cross-Modal Person Re-identification, 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Nov 2019 

     
  12. Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers,Jacques De Guise, William Wells III, and Matthew Toews Analyzing Brain Morphology on the Bag-of-Features Manifold, Information Processing in Medical Imaging June 2019 

     
  13. Souza, M.A., Cavalcanti, G.D.C., Cruz, R.M.O. and Sabourin, R., On Evaluating the Online Local Pool Generation Method for Imbalance Learning, 2019 International Joint Conference on Neural Networks (IJCNN-2019), Budapest, Hungary, July 14-19, 2019. 

     
  14. Souza, V.L.F., Oliveira, A.L.I., Cruz, R.M.O. and Sabourin, R., On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification, 2019 International Joint Conference on Neural Networks (IJCNN-2019), Budapest, Hungary, July 14-19, 2019. 

     
  15. Souza, V.L.F., Oliveira, A.L.I., Cruz, R.M.O. and Sabourin, R., Characterization of Handwritten Signature Images in Dissimilarity Representation Space, International Conference on Computational Science (ICCS-2019), Faro, Algarve, Portugal, June 12-14, 2019. 

     
  16. Rony, J., Hafemann, L.G., Oliveira, L.S., Ben Ayed, I., Sabourin, R. and Granger, E., Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses, Conference on Computer Vision and Pattern Recognition (CVPR-2019), Long-Beach, CA, USA, June 15-21, 2019. 

     
  17. WC Melo, E Granger, A Hadid, Depression Detection based on Deep Distribution Learning, ICIP 2019: IEEE Int'l Conf. on Image Processing, Taipei, Taiwan, 2019. 

     
  18. X. Wu, T. H. Kinnunen, E. Granger, X. Feng, A. Hadid, Audio-Visual Kinship Verification in the Wild, ICB 2019: IAPR International Conference on Biometrics, Crete, Greece, 2019. 

     
  19. F. Mokhayeri, E. Granger, Robust Video Face Recognition From a Single Still Using a Synthetic Plus Variational Model, FG 2019: IEEE Int'l Conf. on Automatic Face and Gesture Recognition, Lille, France, 2019. 

     
  20. W. C. Melo, E. Granger, A. Hadid, Combining Global and Local Convolutional 3D Networks for Detecting Depression from Facial Expressions, FG 2019: IEEE Int'l Conf. on Automatic Face and Gesture Recognition, Lille, France, 2019. 

     
  21. H Kervadec, J Bouchtiba, C Desrosiers, E Granger, J Dolz, I Ben Ayed, Boundary loss for highly unbalanced segmentation, MIDL 2019: Int'l Conf. on Medical Imaging with Deep Learning, London, UK, 2019. 

     
  22. Zyblewski, P., Sabourin, R. and Wozniac, M., Data preprocessing and dynamic ensemble selection for imbalanced data stream classification, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019), Würzburg, Germany, September 16-20, 2019. 

     
  23. Albuquerque, R., Costa, A., Santos, E.M., Sabourin, R. and Giusti, R., A Decision-Based Dynamic Ensemble Selection Method for Concept Drift, The IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Portland, Oregon, November 4-6, 2019. 

     
  24. D. Vriesman, A.S. Britto Jr, A. Zimmer, A.L. Koerich. Texture CNN for Thermoelectric Metal Pipe Image Classification. IEEE Intl Conf on Tools with Artificial Intelligence, Portland, USA, pp. 569-574, November 2019. 

     
  25. D.L. Tannugi, A.S. Britto Jr., A.L. Koerich. Memory Integrity of CNNs for Cross-Dataset Facial Expression Recognition. IEEE Intl Conf on Systems, Man, and Cybernetics, Bari, Italy, pp. 3806-3811, October 2019. 

     
  26. J.D.S. Ortega, P. Cardinal, A.L. Koerich. Emotion Recognition Using Fusion of Audio and Video Features. IEEE Intl Conf on Systems, Man, and Cybernetics, Bari, Italy, pp.3827-3832, October 2019. 

     
  27. J. Matos, A.S. Britto Jr., L.E.S. Oliveira, A.L. Koerich. Double Transfer Learning for Breast Cancer Histopathologic Image Classification. IEEE Intl Joint Conf on Neural Networks (IJCNN), Budapest, Hungary, pp.1-6, July 2019. 

     
  28. K.L. Wiggers, A.S. Britto Jr., L. Heutte, A.L. Koerich, L.E.S. Oliveira. Image Retrieval and Pattern Spotting using Siamese Neural Network. IEEE Intl Joint Conf on Neural Networks (IJCNN), Budapest, Hungary, pp.1-6, July 2019. 

     
  29. J. Matos, A.S. Britto Jr., L.E.S. Oliveira, A.L. Koerich. Texture CNN for Histopathologic Image Classification. 32nd IEEE Intl Symposium on Computer-Based Medical Systems (CBMS), Córdoba, Spain, pp.1-4, June 2019.