Publications 2014

Année 2014:
Revues


  1. Marco Pedersoli, Radu Timofte, Tinne Tuytelaars, Luc Van Gool, An Elastic Deformation Field Model for Object Detection and Tracking, International Journal of Computer Vision, June 2014. 

     
  2. M. Ben Salah, I. Ben Ayed, J. Yuan, and H. Zhang, Convex-relaxed kernel mapping for image segmentation, IEEE Transactions on Image Processing, Vol. 23, No. 3, pp. 1143-1153, 2014.                                                                                                                                                                                                                                                                   
  3. R.A. Seger, M.M. Wanderley and A.L. Koerich, Automatic Detection of Musicians Ancillary Gestures Based on Video Analysis, Expert Systems with Applications, 41 (4), 2098-2106, 2014. 

     
  4. M. Afshin, I. Ben Ayed, K. Punithakumar, M. W. K. Law, A. Islam, A. Goela, T. M. Peters, and Li S, Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features, IEEE Transactions on Medical Imaging, Vol. 33, No. 2, pp. 481-494, 2014.                                                                                                                                                                                                                              
  5. D. Wasserman, M. Toews, M. Niethammer, W.M. Wells III. Probabilistic Diffeomorphic Registration: Representing Uncertainty. International Workshop on Biomedical Image Registration(WBIR), LNCS 8545, 2014, pp. 72-82.                                                                                                                                                                                                              
  6. Eskander, G., Sabourin R. and Granger E., A Bio-Cryptographic System Based on Offline Signature Images, Information Sciences, vol 259, 2014, pp 170-191.
     

  7. Rabil, B.G., Sabourin, R. and Granger, E., Rapid Blockwise Multi-Resolution Clustering of Facial Images for Intelligent Watermarking, Machine Vision and Applications, Vol.25, Issue 2, 2014, pp 277-300.
     

  8. Britto Jr, A.S., Sabourin, R. and Oliveira, L.S., Dynamic Selection of Classifiers - a comprehensive review, Pattern Recognition, Vol. 47, Issue 11, November 2014, pp. 3665–3680.
     

  9. Radtke, P.V.W, Granger, E., Sabourin, R. and Gorodnichy, D., Skew-Sensitive Boolean Combination for Adaptive Ensembles - An Application to Face Recognition in Video Surveillance, Information Fusion, November 2014, Vol. 20, pp. 31-48.
     

  10. Pagano, C., Granger, E., Sabourin, R., Roli, F. and Marcialis, G.L., Adaptive Ensembles for Face Recognition in Changing Video Surveillance Environments, Information Sciences, Volume 286, 1 December 2014, pp. 75-101.
     


Chapitres de livres  

  1. B. Ng, M. Toews, S. Durrleman, Y. Shi. Chapter 1: Shape Analysis for Brain Structures.  Advances of Shape Analysis in Medical Image Analysis. Springer, Editors Shuo Li and João Manuel R. S. Tavares, 2014.                                                                                                                                                                                                                                      
  2. T. Kapur, M. Toews, J. Egger, William M. Wells III. Chapter 3: Image Registration and Segmentation. . Intraoperative Imaging and Image Guided Therapy. Springer, Editor F. Jolesz, MD. 2014.



Conférences

  1. Marco Pedersoli, Tinne Tuytelaars, A scalable 3D HOG model for fast object detection and viewpoint estimation, 3DV, December 2014. 

     
  2. Markus Mathias, Rodrigo Benenson, Marco Pedersoli, Luc Van Gool, Face detection without bells and whistles, in ECCV, September 2014. 

     
  3. Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars, Is 2D information enough for viewpoint estimation?, in BMVC, September 2014. 

     
  4. Hakan Binen, Marco Pedersoli, Tinne Tuytelaars, Weakly Supervised Object Detection with Posterior Regularization, in BMVC, September 2014. 

     
  5. Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool, Using a deformation field model for localizing faces and facial points under weak supervision, CVPR, June 2014. 

     
  6. Hakan Bilen, Marco Pedersoli, Vinay P. Namboodiri, Tinne Tuytelaars, Luc Van Gool, Object Classification with Adaptable Regions, CVPR, June 2014. 

     
  7. I. Ben Ayed, M. Wang, B. Miles and Gregory J. Garvin, TRIC: <Trust Region for Invariant Compactness and its application to abdominal aorta segmentation, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vol. LNCS 8673, pp. 381-388, Boston, MA, 2014. 

     
  8. M. Tang, I. Ben Ayed and Y. Boykov, <<Pseudo-Bound Optimization for Binary Energies, European Conference on Computer Vision (ECCV) , Vol. LNCS 8693, pp. 691-707, Zurich, Switzerland (Oral), 2014. 

     
  9. V. Godoy, A. S. Britto Jr., J. Facon, A.L. Koerich and L.E.S. Oliveira, An HMM-based Gesture Recognition Method Trained on Few Samples, IEEE International Conference on Tools with Artificial Intelligence, 2014, Limassol, pp. 640-646, 2014. 

     
  10. Cardinal P., Ali A., Dehak N., Zhang Y., Al Hanai T., Zhang Y., Glass J., and Vogel S. Recent advances in ASR applied to an arabic transcription system for al-jazeera. Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech), 2014.                                                                                                                                                                                                                 
  11. Ali A., Zhang Y., Cardinal P., Dehak N., Vogel S., and Glass J. A complete kaldi recipe for building arabic speech recognition systems. Proceedings of IEEE SLT Workshop, 2014.                                                                                                                                                                                                                                                                                
  12.  Wasserman, M. Toews, M. Neithammer, W. Wells III. . Probabilistic Diffeomorphic Registration: Representing Uncertainty. D. International Workshop on Biomedical Image Registration, To Appear, 2014                                                                                                                                                                                                                                               
  13. Cardinal P., Ali A., Dehak N., Zhang Y., Al Hanai T., Zhang Y., Glass J., and Vogel S. Recent advances in ASR applied to an arabic transcription system for al-jazeera. Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech), 2014.

     
  14. Ali A., Zhang Y., Cardinal P., Dehak N., Vogel S., and Glass J. A complete kaldi recipe for building arabic speech recognition systems. Proceedings of IEEE SLT Workshop, 2014.

     
  15. De la Torre, M., Granger, E., Radtke, P. V. W., Sabourin, R. and Gorodnichy, D., Self-Updating with Facial Trajectories for Video-to-Video Face Recognition, International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 24-28 August 2014.
     

  16. Bashbaghi, S., Granger, E., Sabourin, R. and Bilodeau, G-A, Watch-List Screening Using Ensembles Based on Multiple Face Representations, International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 24-28 August 2014.
     

  17. Bertolini D., Oliveira L.S., Justino E. and Sabourin R., Assessing Textural Features For Author Identification on Different Writing Styles and Forgeries, International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 24-28 August 2014.
     

  18. Cruz, M.O.R., Sabourin, R., Cavalcanti, G.D.C. and Tsang, I.R., On Meta-Learning for Dynamic ensemble selection, International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 24-28 August 2014.
     

  19. Beauchemin-Turcotte, M., Gauthier, G. and Sabourin, R., Design of Fuzzy Terminal Iterative Learning Control based on Internal Model Control, 22nd Mediterranean Conference on Control and Automation, Palermo, Italy, 16-19 June 2014.
     

  20. Eskander, G.S., Sabourin, R. and Granger, E., Improving Signature-Based Biometric Cryptosystems Using Cascaded Signature Verification–Fuzzy Vault (SV-FV) Approach, The 14th International Conference on Frontiers in Handwriting Recognition (ICFHR-2014), Crete Island, Greece, 1-4 September 2014.
     

  21. Pagano, C., Granger, E., Sabourin, R., Roli, F. and Marcialis, G.L., Dynamic Weighting for Fusion of Adaptive Classifier Ensembles Based on Changing Data Streams,The Sixth International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR'2014), Montreal, Canada, 6-8 October 2014.
     

  22. Cruz, M.O.R., Sabourin, R. and Cavalcanti, G.D.C., Analyzing dynamic ensemble selection techniques using dissimilarity analysis,The Sixth International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR'2014), Montreal, Canada, 6-8 October 2014.
     

  23. Bernard, S., Chatelain, C., Adam, S. et Sabourin, R., Apprentissage multiclasse en environnement incertain, XXIième rencontre de la société francophone de classification, Rabat, Maroc, 10-12 Septembre 2014.
     

  24. Eskander, G.S., Sabourin, R. and Granger, E., Offline Signature-Based Fuzzy Vault (OSFV): Review and New Results, The IEEE Symposium Series on Computational Intelligence in Biometrics and Identity Management (SSCI-CIBIM) 2014, December 9 to 12, Orlando, Florida, U.S.A., 2014.
     

  25. Pagano, C., Granger, E., Sabourin, R., Rattani,A., Marcialis, G.L. and Roli, F, Efficient Adaptive Face Recognition Systems Based on Capture Conditions, The IEEE Symposium Series on Computational Intelligence in Biometrics and Identity Management (SSCI-CIBIM) 2014, December 9 to 12, Orlando, Florida, U.S.A., 2014.
     

  26. Gorodnichy D. and Granger, E., Target-based evaluation of face recognition technology for video surveillance applications, The IEEE Symposium Series on Computational Intelligence in Biometrics and Identity Management (SSCI-CIBIM) 2014, December 9 to 12, Orlando, Florida, U.S.A., 2014.
     

  27. Amara, I. , Granger, E., and Hadid, A., On the Effects of Illumination Normalization with LBP-Based Watchlist Screening, ECCV 2014 Second International Workshop on Computer Vision With Local Binary Patterns Variants (LBP'2014), September 6th, Zurich, 2014.
     

  28. Farias, W.C., Justino, EJ.R., Facon, J., Oliveira, L.E.S. and Sabourin, R., Off-line Signature Verification Using a Mixed Segmentation, Xth Workshop de Visãon Computational (WVC 2014), October 6-8, 2014 Uberlândia, Brazil.
     


Rapports Techniques

  1. Chakravorty, T., Bilodeau, G.-A. and Granger, E., Automatic Image Registration in Infrared-Visible Videos using Polygon Vertices.
     

  2. Ko, A., Sabourin, R., Oliveira, L. and Britto Jr, A., A Classifier-free Ensemble Selection Method based on Data Diversity in Random Subspaces, Technical Report, arXiv:1408.2889v1 [cs.LG] 13 Aug 2014.
     

  3. Eskander, G.S., Sabourin, R. and Granger, E., Offline Signature-Based Fuzzy Vault (OSFV): Review and New Results, Technical Report, arXiv:1408.3985v1 [cs.CV] 18 Aug 2014.