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GALEN - 2014
GALEN - 2014
Project-Team Galen
Members
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
Project-Team Galen
Members
Overall Objectives
Research Program
Application Domains
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
  • 1M. Blaschko, C. Lampert.

    Learning to Localize Objects with Structured Output Regression, in: Proceedings of the 10th European Conference on Computer Vision: Part I, ECCV '08, 2008, pp. 2–15.
  • 2B. Glocker, A. Sotiras, N. Komodakis, N. Paragios.

    Deformable Registration: Setting the State of the Art with Discrete Methods, in: Annual Reviews on Biomedical Engineering, 2011, pp. 219-244.
  • 3I. Kokkinos, M. M. Bronstein, R. Litman, A. M. Bronstein.

    Intrinsic shape context descriptors for deformable shapes, in: CVPR - IEEE Conference on Computer Vision and Pattern Recognition, Providence, United States, 2012, pp. 159-166.

    https://hal.inria.fr/hal-00857572
  • 4I. Kokkinos.

    Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound, in: Neural Information Processing Systems (NIPS), Granada, Spain, December 2011.
  • 5I. Kokkinos.

    Bounding Part Scores for Rapid Detection with Deformable Part Models, in: ECCV Workshops - Parts and Attributes Workshop, European Conference on Computer Vision, Florence, Italy, 2012, pp. 41-50.

    https://hal.inria.fr/hal-00857563
  • 6I. Kokkinos.

    Rapid Deformable Object Detection using Bounding-based Techniques, April 2012, no RR-7940.

    https://hal.inria.fr/hal-00696120
  • 7I. Kokkinos.

    Shufflets: Shared Mid-level Parts for Fast Multi-Category Detection, in: ICCV - International Conference on Computer Vision, Sydney, Australia, 2013.

    https://hal.inria.fr/hal-00857578
  • 8I. Kokkinos, A. Yuille.

    Inference and Learning with Hierarchical Shape Models, in: International Journal of Computer Vision, 2011, vol. 93, no 2, pp. 201-225.
  • 9N. Komodakis, N. Paragios, G. Tziritas.

    MRF Energy Minimization and Beyond via Dual Decomposition, in: IEEE Trans. Pattern Anal. Mach. Intell., 2011, vol. 33, no 3, pp. 531-552.
  • 10M. P. Kumar, V. Kolmogorov, P. Torr.

    An analysis of convex relaxations for MAP estimation of discrete MRFs, in: JMLR - Journal of Machine Learning Research, 2009.

    http://hal.inria.fr/hal-00773608
  • 11M. P. Kumar, P. Torr, A. Zisserman.

    OBJCUT: Efficient segmentation using top-down and bottom-up cues, in: PAMI - IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010.

    http://hal.inria.fr/hal-00773609
  • 12C. Lampert, M. Blaschko, T. Hofmann.

    Efficient Subwindow Search: A Branch and Bound Framework for Object Localization, in: IEEE Trans. Pattern Anal. Mach. Intell., December 2009, vol. 31, no 12, pp. 2129–2142.
  • 13M. Raptis, I. Kokkinos, S. Soatto.

    Discovering Discriminative Action Parts from Mid-Level Video Representations, in: CVPR - IEEE Conference on Computer Vision and Pattern Recognition, Providence, United States, June 2012.

    https://hal.inria.fr/hal-00918807
  • 14O. Teboul, I. Kokkinos, L. Simon, K. Panagiotis, N. Paragios.

    Parsing Facades with Shape Grammars and Reinforcement Learning, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, vol. 35, no 7, pp. 1744-1756. [ DOI : 10.1109/TPAMI.2012.252 ]

    https://hal.archives-ouvertes.fr/hal-00855609
  • 15S. Tsogkas, I. Kokkinos.

    Learning-Based Symmetry Detection in Natural Images, in: ECCV - 12th European Conference on Computer Vision, Florence, Italy, October 2012, pp. 41-54.

    https://hal.inria.fr/hal-00856535
Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 17D. Chittajallu, N. Paragios, I. Kakadiaris.

    An Explicit Shape-constrained MRF-based Contour Evolution Method for 2D Medical Image Segmentation, in: IEEE Journal of Biomedical and Health Informatics, January 2014, pp. 2168-2194. [ DOI : 10.1109/JBHI.2013.2257820 ]

    https://hal.archives-ouvertes.fr/hal-00858880
  • 18S. Parisot, W. Wells, S. Chemouny, H. Duffau, N. Paragios.

    Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs, in: Medical Image Analysis, May 2014, vol. 18, no 4, pp. 647 - 659. [ DOI : 10.1016/j.media.2014.02.006 ]

    https://hal.inria.fr/hal-01109692

International Conferences with Proceedings

  • 19A. Behl, C. Jawahar, M. P. Kumar.

    Optimizing Average Precision using Weakly Supervised Data, in: CVPR - IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Ohio, United States, 2014.

    https://hal.inria.fr/hal-00984699
  • 20H. Boussaid, I. Kokkinos.

    Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models, in: IEEE Conference in Computer Vision and Pattern Recognition, Greater Columbus Convention Center in Columbus, Ohio., United States, June 2014, pp. 4058 - 4065. [ DOI : 10.1109/CVPR.2014.517 ]

    https://hal.archives-ouvertes.fr/hal-01109287
  • 21H. Boussaid, I. Kokkinos, N. Paragios.

    Discriminative learning of deformable contour models, in: Int.l Symposium on Biomedical Imaging (ISBI), Bejing, China, April 2014, pp. 624 - 628. [ DOI : 10.1109/ISBI.2014.6867948 ]

    https://hal.inria.fr/hal-01108276
  • 22M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, A. Vedaldi.

    Describing Textures in the Wild, in: IEEE Conference in Computer Vision and Pattern Recognition, Greater Columbus Convention Center in Columbus, Ohio., United States, June 2014, pp. 3606 - 3613. [ DOI : 10.1109/CVPR.2014.461 ]

    https://hal.archives-ouvertes.fr/hal-01109284
  • 23P. K. Dokania, A. Behl, C. V. Jawahar, M. Pawan Kumar.

    Learning to Rank Using High-Order Information, in: ECCV 2014 - European Conference on Computer Vision (2014), Zurch, Switzerland, September 2014, pp. 609 - 623. [ DOI : 10.1007/978-3-319-10593-2_40 ]

    https://hal.inria.fr/hal-01076220
  • 24M. Ghafarianzadeh, M. Blaschko, G. Sibley.

    Unsupervised Spatio-Temporal Segmentation with Sparse Spectral Clustering, in: British Machine Vision Conference (BMVC), Nottingham, United Kingdom, September 2014.

    https://hal.inria.fr/hal-01034903
  • 25M. P. Kumar.

    Rounding-based Moves for Metric Labeling, in: NIPS - Advances in Neural Information Processing Systems, Montreal, Canada, 2014.

    https://hal.inria.fr/hal-01069910
  • 27P. Mohapatra, C. V. Jawahar, M. P. Kumar.

    Efficient Optimization for Average Precision SVM, in: NIPS - Advances in Neural Information Processing Systems, Montreal, Canada, 2014.

    https://hal.inria.fr/hal-01069917
  • 28J. I. Orlando, M. Blaschko.

    Learning fully-connected CRFs for blood vessel segmentation in retinal images, in: Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, United States, Springer, September 2014.

    https://hal.inria.fr/hal-01024226
  • 29N. Paragios, N. Komodakis.

    Discrete Visual Perception, in: International Conference on Pattern Recognition, Stockholm, Sweden, IEEE, August 2014, pp. 1-7.

    https://hal.archives-ouvertes.fr/hal-01023406
  • 30E. Trulls, S. Tsogkas, I. Kokkinos, A. Sanfeliu, F. Moreno-Noguer.

    Segmentation-Aware Deformable Part Models, in: IEEE Conference in Computer Vision and Pattern Recognition, Greater Columbus Convention Center in Columbus, Ohio., United States, June 2014, pp. 168 - 175. [ DOI : 10.1109/CVPR.2014.29 ]

    https://hal.archives-ouvertes.fr/hal-01109286
  • 31A. Vedaldi, S. Mahendran, S. Tsogkas, S. Maji, R. B. Girshick, J. Kannala, E. Rahtu, I. Kokkinos, M. B. Blaschko, D. Weiss, B. Taskar, K. Simonyan, N. Saphra, S. Mohamed.

    Understanding Objects in Detail with Fine-grained Attributes, in: IEEE Conference on Computer Vision and Pattern Recognition, Columbus, United States, June 2014.

    https://hal.inria.fr/hal-00981125

National Conferences with Proceedings

  • 32M. Blaschko, A. Mittal, E. Rahtu.

    An O(n log n) Cutting Plane Algorithm for Structured Output Ranking, in: German Conference on Pattern Recognition, Münster, Germany, Springer, September 2014.

    https://hal.inria.fr/hal-01020943

Conferences without Proceedings

  • 33S. Alchatzidis, A. Sotiras, N. Paragios.

    Discrete Multi Atlas Segmentation using Agreement Constraints, in: British Machine Vision Conference, Nottingham, United Kingdom, British Machine Vision Association, September 2014.

    https://hal.inria.fr/hal-01061457
  • 34E. Belilovsky, A. Argyriou, M. Blaschko.

    Approximating Combined Discrete Total Variation and Correlated Sparsity With Convex Relaxations, in: NIPS Workshop on Discrete and Combinatorial Problems in Machine Learning, Montreal, Canada, December 2014.

    https://hal.inria.fr/hal-01104411
  • 35W. Bounliphone, A. Gretton, M. Blaschko.

    Kernel non-parametric tests of relative dependency, in: NIPS Workshop on Modern Nonparametrics 3: Automating the Learning Pipeline, Montreal, Canada, December 2014.

    https://hal.inria.fr/hal-01104407
  • 36P.-A. Savalle, S. Tsogkas, G. Papandreou, I. Kokkinos.

    Deformable Part Models with CNN Features, in: European Conference on Computer Vision, Parts and Attributes Workshop, Zurich, Switzerland, September 2014.

    https://hal.archives-ouvertes.fr/hal-01109290
  • 37J. Yu, M. Blaschko.

    Lovasz Hinge for Learning Submodular Losses, in: NIPS Workshop on Representation and Learning Methods for Complex Outputs, Montreal, Canada, December 2014.

    https://hal.inria.fr/hal-01104413

Books or Proceedings Editing

Internal Reports

  • 39R. Gadde, R. Marlet, P. Nikos.

    Learning grammars for architecture-specific facade parsing, September 2014, no RR-8600.

    https://hal.inria.fr/hal-01069379
  • 40N. Komodakis, B. Xiang, N. Paragios.

    A Framework for Efficient Structured Max-Margin Learning of High-Order MRF Models, Ecole de Ponts-ParisTech ; Ecole Centrale de Paris ; Inria Saclay Ile de France, 2014, no RR-8645, pp. 1 - 34. [ DOI : 10.1109/TPAMI.2014.2368990 ]

    https://hal.inria.fr/hal-01090971
  • 41G. Papandreou, I. Kokkinos, P.-A. Savalle.

    Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection, Toyota Technological Institute at Chicago ; Ecole Centrale Paris ; Inria Saclay Ile de France, November 2014.

    https://hal.archives-ouvertes.fr/hal-01109289
  • 42Y. Zeng, C. Wang, D. Samaras, X. Gu, N. Paragios.

    Higher-order Graph Principles towards Non-rigid Surface Registration, Inria Saclay Ile de France, September 2014, no RR-8607, 31 p.

    https://hal.inria.fr/hal-01086052

Scientific Popularization

Patents

  • 44P. Nikos, E. Ferrante, R. Marini Silva.

    Method and device for elastic registration between a two-dimensional digital image and a slice of a three-dimensional volume with overlapping content, July 2014, no US 2014/0192046 A1, 12 p.

    https://hal.inria.fr/hal-01044647

Other Publications



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