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Bibliography

Publications of the year

Articles in International Peer-Reviewed Journals

  • 1A. Behl, P. Mohapatra, C. Jawahar, M. Pawan Kumar.
    Optimizing Average Precision using Weakly Supervised Data, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, vol. 37, no 12, pp. 2545-2557. [ DOI : 10.1109/TPAMI.2015.2414435 ]
    https://hal.inria.fr/hal-01223977
  • 2E. Belilovsky, A. Argyriou, G. Varoquaux, M. B. Blaschko.
    Convex relaxations of penalties for sparse correlated variables with bounded total variation, in: Machine Learning, June 2015, pp. 1-21. [ DOI : 10.1007/s10994-015-5511-2 ]
    https://hal.inria.fr/hal-01167861
  • 3E. Belilovsky, K. Gkirtzou, M. Misyrlis, A. Konova, J. Honorio, N. Alia-Klein, R. Goldstein, D. Samaras, M. Blaschko.
    Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm, in: Computerized Medical Imaging and Graphics, 2015, 1 p. [ DOI : 10.1016/j.compmedimag.2015.03.007 ]
    https://hal.inria.fr/hal-01141082
  • 4M. Cimpoi, S. Maji, I. Kokkinos, A. Vedaldi.
    Deep filter banks for texture recognition, description, and segmentation , in: International Journal of Computer Vision, January 2016.
    https://hal.inria.fr/hal-01263622
  • 5E. Ferrante, V. Fecamp, N. Paragios.
    Slice-to-Volume Deformable Registration: Efficient one shot consensus between plane selection and in-plane deformation, in: International Journal for Computer Assisted Radiology and Surgery (IJCARS), 2015, vol. 10, no 6, pp. 791-800. [ DOI : 10.1007/s11548-015-1205-2 ]
    https://hal.inria.fr/hal-01118871
  • 6K. Gkirtzou, M. Blaschko.
    The Pyramid Quantized Weisfeiler-Lehman Graph Representation, in: Neurocomputing, September 2015. [ DOI : 10.1016/j.neucom.2015.09.023 ]
    https://hal.inria.fr/hal-01205717
  • 7N. Komodakis, B. Xiang, N. Paragios.
    A Framework for Efficient Structured Max-Margin Learning of High-Order MRF models, in: PAMI, 2015.
    https://hal.archives-ouvertes.fr/hal-01245673
  • 8H. Langet, C. Riddell, A. Reshef, Y. Trousset, A. Tenenhaus, E. Lahalle, G. Fleury, P. Nikos.
    Compressed-sensing-based content-driven hierarchical reconstruction: Theory and application to C-arm cone-beam tomography, in: Medical Physics, August 2015, vol. 42, no 9. [ DOI : 10.1118/1.4928144 ]
    https://hal.archives-ouvertes.fr/hal-01230277
  • 9M. Pawan Kumar, H. Turki, D. Preston, D. Koller.
    Parameter Estimation and Energy Minimization for Region-based Semantic Segmentation, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, vol. 37, no 7, pp. 1373-1386. [ DOI : 10.1109/TPAMI.2014.2372766 ]
    https://hal.inria.fr/hal-01223979
  • 10H. Sidahmed, E. Prokofyeva, M. Blaschko.
    Discovering Predictors of Mental Health Service Utilization with k-support Regularized Logistic Regression, in: Information Sciences, 2015, pp. 1-15. [ DOI : 10.1016/j.ins.2015.03.069 ]
    https://hal.inria.fr/hal-01139786

Invited Conferences

  • 11S. Chandra, G. Chrysos, I. Kokkinos.
    Surface Based Object Detection in RGBD Images, in: British Machine Vision Conference, Swansea, Wales, United Kingdom, September 2016. [ DOI : 10.5244/C.29.187 ]
    https://hal.inria.fr/hal-01263930
  • 12S. Chandra, S. Tsogkas, I. Kokkinos.
    Accurate Human-Limb Segmentation in RGB-D images for Intelligent Mobility Assistance Robots, in: ACVR, ICCV 2015, Santiago, Chile, December 2015.
    https://hal.inria.fr/hal-01263621

International Conferences with Proceedings

  • 13S. Alchatzidis, A. Sotiras, N. Paragios.
    Local atlas selection for discrete multi-atlas segmentation, in: International Symposium on Biomedical Imaging, New York, United States, April 2015.
    https://hal.archives-ouvertes.fr/hal-01145510
  • 14W. Bounliphone, E. Belilovsky, M. Blaschko, I. Antonoglou, A. Gretton.
    A Test of Relative Similarity For Model Selection in Generative Models, in: International Conference on Learning Representations, San Juan, Puerto Rico, May 2016.
    https://hal.inria.fr/hal-01232290
  • 15V. Fecamp, A. Sotiras, N. Paragios.
    Modular linear iconic matching using higher order graphs, in: ISBI 2015 - IEEE 12th International Symposium on Biomedical Imaging, New York, United States, April 2015, pp. 1097 - 1101. [ DOI : 10.1109/ISBI.2015.7164063 ]
    https://hal.inria.fr/hal-01223970
  • 16E. Ferrante, V. Fecamp, N. Paragios.
    Implicit Planar and In-Plane Deformable Mapping in Medical Images Through High Order Graphs, in: IEEE International Symposium on BIOMEDICAL IMAGING: From Nano to Macro (ISBI), Ney York, United States, April 2015.
    https://hal.inria.fr/hal-01130724
  • 17M. Shakeri, S. Tsogkas, E. Ferrante, S. Lippe, S. Kadoury, N. Paragios, I. Kokkinos.
    Sub-cortical brain structure segmentation using F-CNN's, in: ISBI 2016: International Symposium on Biomedical Imaging, Prague, Czech Republic, 2016.
    https://hal.inria.fr/hal-01265500
  • 18B. Singh, S. Alchatzidis, N. Paragios.
    Quasi real-time sub-space 3D deformable fusion, in: Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, New York, NY , United States, April 2015. [ DOI : 10.1109/ISBI.2015.7164000 ]
    https://hal.inria.fr/hal-01270453

Conferences without Proceedings

  • 19M. Blaschko, J. Yu.
    Hardness Results for Structured Learning and Inference with Multiple Correct Outputs, in: Constructive Machine Learning Workshop at ICML, Lille, France, July 2015.
    https://hal.inria.fr/hal-01165337
  • 20D. Bouchacourt, S. Nowozin, M. P. Kumar.
    Entropy-based Latent Structured Output Prediction, in: International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015.
    https://hal.inria.fr/hal-01223968
  • 21W. Bounliphone, A. Gretton, A. Tenenhaus, M. Blaschko.
    A low variance consistent test of relative dependency, in: International Conference on Machine Learning, Lille, France, July 2015.
    https://hal.inria.fr/hal-01005828
  • 22P. K. Dokania, M. P. Kumar.
    Parsimonious Labeling, in: ICCV 2015 - International Conference on Computer Vision 2015, Santiago, Chile, December 2015.
    https://hal.inria.fr/hal-01223973
  • 23V. Fécamp, A. Sotiras, N. Paragios.
    Simultaneous Linear and Deformable Registration, in: Medical Imaging Computing and Computer Assisted Interventions, Munich, Germany, October 2015.
    https://hal.inria.fr/hal-01223991
  • 24A. Gastounioti, A. Sotiras, K. S. Nikita, N. Paragios.
    Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, Munich, Germany, October 2015. [ DOI : 10.1007/978-3-319-24574-4_66 ]
    https://hal.inria.fr/hal-01270448
  • 25C. Liang-Chieh, G. Papandreou, I. Kokkinos, K. Murphy, A. Yuille.
    Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs, in: International Conference on Learning Representations, San Diego, United States, May 2015.
    https://hal.inria.fr/hal-01263610
  • 26G. Papandreou, I. Kokkinos, P.-A. Savalle.
    Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection, in: IEEE Conference on Computer Vision and Pattern Recognition, Boston, United States, June 2015.
    https://hal.inria.fr/hal-01263611
  • 27E. Simo-Serra, E. Trulls, L. Ferraz, I. Kokkinos, P. Fua, F. Moreno-Noguer.
    Deep Convolutional Feature Point Descriptors, in: International Conference on Computer Vision, Santiago, Chile, December 2015.
    https://hal.inria.fr/hal-01263627
  • 28M. Vakalopoulou, K. Karantzalos, N. Komodakis, N. Paragios.
    Building Detection in Very high Resolution Multispectral Data with Deep Learning Features, in: IGARSS 2015, Champs-sur-Marne, France, July 2015.
    https://hal.archives-ouvertes.fr/hal-01245705
  • 29J. Yu, M. Blaschko.
    Learning Submodular Losses with the Lovász Hinge, in: International Conference on Machine Learning, Lille, France, July 2015.
    https://hal.inria.fr/hal-01151823

Books or Proceedings Editing

  • 30N. Paragios, J. Duncan, N. Ayache (editors)
    Handbook of Biomedical Imaging: Methodologies and Clinical Research, Springer, 2015, 590 p. [ DOI : 10.1007/978-0-387-09749-7 ]
    https://hal.inria.fr/inria-00616178

Internal Reports

  • 31E. Ferrante, N. Paragios.
    Graph Based Slice-to-Volume Deformable Registration, Inria Saclay ; Center for Visual Computing, CentraleSupelec, Inria, Université Paris-Saclay, October 2015, no RR-8803, 30 p.
    https://hal.inria.fr/hal-01220005
  • 32R. Gadde, R. Marlet, N. Paragios.
    Learning grammars for architecture-specific facade parsing, Ecole des Ponts Paris-Tech ; Ecole Centrale Paris, October 2015, no RR-8600.
    https://hal.inria.fr/hal-01069379
  • 33P. Kumar, N. Komodakis, N. Paragios.
    (Hyper)-Graphs Inference via Convex Relaxations and Move Making Algorithms: Contributions and Applications in artificial vision, Inria, October 2015, no RR-8798, 65 p.
    https://hal.inria.fr/hal-01223027
  • 34Y. Zeng, C. Wang, X. Gu, D. Samaras, N. Paragios.
    Higher-order Graph Principles towards Non-rigid Surface Registration, Inria Saclay - Ile-de-France ; Inria, September 2015, no RR-8607, 31 p.
    https://hal.inria.fr/hal-01086052

Other Publications

  • 35H. Adam, I. Kokkinos, K. Derpanis.
    Learning Dense Convolutional Embeddings for Semantic Segmentation, 2015, working paper or preprint.
    https://hal.inria.fr/hal-01263620
  • 36E. Belilovsky, G. Varoquaux, M. B. Blaschko.
    Hypothesis Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity, December 2015, working paper or preprint.
    https://hal.inria.fr/hal-01248844
  • 37W. Bounliphone, A. Gretton, A. Tenenhaus, M. B. Blaschko.
    Kernel non-parametric tests of relative dependency, Elsevier, December 2015, vol. ISBN 978-9963-2227-0-4, pp. 165-166, International conference of the ERCIM WG on computational and methodological statistics - CMStatistics 2015, Poster.
    https://hal.inria.fr/hal-01263194
  • 38I. Kokkinos.
    Surpassing Humans in Boundary Detection using Deep Learning, 2015, working paper or preprint.
    https://hal.inria.fr/hal-01263617
  • 39S. Tsogkas, I. Kokkinos, G. Papandreou, A. Vedaldi.
    Deep Learning for Semantic Part Segmentation with High-Level Guidance, 2015, working paper or preprint.
    https://hal.inria.fr/hal-01264942
  • 40J. Yu, M. Blaschko.
    The Lovász Hinge: A Convex Surrogate for Submodular Losses, December 2015, working paper or preprint.
    https://hal.inria.fr/hal-01241626

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