Home

Category: Uncategorized / Tags: no tag / Add Comment

Check the new page of my Lab at IIT for updated info: Visual Geometry and Modelling Lab

Alessio I am a Researcher at the PAVIS (Pattern Analyisis and computer VISion) Department of the Istituto Italiano di Tecnologia (IIT) where I am leading the Visual Geometry and Modelling (VGM) Lab. Previously, I was a researcher in the Institute for Systems and Robotics at the Instituto Superior Técnico (IST) in Lisbon, Portugal. Before that, I obtained my Ph.D. under the supervision of Dr. Lourdes Agapito at Queen Mary University of London.
Email: Alessio Del Bue
Google Scholar Profile
DBLP Profile

Current Research Interests

Research Highlights
CVPR 2015 manifold We present an efficient framework for recognition problems that uses both sparsity and manifold constraints (CVPR 2015). For details download the paper here.
  • B. Zhang, A. Perina, V. Murino, and A. Del Bue, "Sparse Representation Classification with Manifold Constraints Transfer," in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
    @inproceedings{Bao:Manifold:2015, title={Sparse Representation Classification with Manifold Constraints Transfer},
      author={B. Zhang and A. Perina and V. Murino and A. {Del Bue}},
      booktitle={The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      month = {June},
      year={2015}
    }
IROS 2014 COVERAGE The automatic 3D reconstruction of large scale environments is often very time consuming currently requiring a large amount of images. We provide a novel approach to move cameras in order to maximize coverage and to decrease movement cost. Download the paper here.
  • M. Tamassia, A. Del Bue, V. Murino, and A. Farinelli, "A Directional Visual Descriptor for Large-Scale Coverage Problems," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Chicago, Il, 2014.
    @inproceedings{Tamassia:etal:2014,
      author = {M. Tamassia and A. {Del Bue} and V. Murino and A. Farinelli},
      title = {A Directional Visual Descriptor for Large-Scale Coverage Problems },
      booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
      year={2014},
      address = {Chicago, Il}
    }
PAMI 2013 BALM The BALM is a new optimization framework for matrix factorization with missing data and manifold constraints.
  • A. Del Bue, J. Xavier, L. Agapito, and M. Paladini, "Bilinear Modeling via Augmented Lagrange Multipliers (BALM)," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 34, iss. 8, pp. 1496-1508, 2012.
    @Article{DelBue:etal:PAMI2012,
      author = {A. {Del Bue} and J. Xavier and L. Agapito and M. Paladini},
      title={Bilinear Modeling via Augmented Lagrange Multipliers (BALM)},
      journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on},
      year={2012},
      month={August},
      volume={34},
      number={8},
      pages={1496 -1508},
      doi={10.1109/TPAMI.2011.238},
      ISSN={0162-8828},
      url = {http://users.isr.ist.utl.pt/~adb/publications/2012_PAMI_Del_Bue.pdf}
    }
molecule localisation In this project I collaborated with the IIT Nanophysics group to improve the state of the art in super-resolution methods for microscopy.
  • F. Cella Zanacchi, Z. Lavagnino, M. Perrone, A. Del Bue, L. Furia, M. Faretta, and A. Diaspro, "Live-cell 3D super-resolution imaging in thick biological samples," Nature Methods, pp. 1047-1049, 2011.
    @Article{Cella:etal:NM2011,
      author = {F. {Cella Zanacchi} and Z. Lavagnino and M. {Perrone} and A. {Del Bue} and L. Furia and M. Faretta and A. Diaspro},
      title = {{Live-cell 3D super-resolution imaging in thick biological samples}},
      journal = {Nature Methods},
      pages = {1047-1049},
      year = {2011},
      month = {December},
      url = {http://www.nature.com/nmeth/journal/v8/n12/full/nmeth.1744.html},
      Doi = {10.1038/nmeth.1744}
    }
sensors calibration A new closed form solution from the self-calibration of sensors in unconstrained environments based on bilinear factorization.
  • M. Crocco, A. Del Bue, and V. Murino, "A Bilinear Approach to the Position Self-Calibration of Multiple Sensors," IEEE Transactions on Signal Processing, vol. 60, pp. 660-673, 2012.
    @Article{Crocco:etal:TSP2012,
      author = {M. Crocco and A. {Del Bue} and V. Murino},
      title = {A Bilinear Approach to the Position Self-Calibration of Multiple Sensors},
      journal = {IEEE Transactions on Signal Processing},
      year = {2012},
      volume = {60},
      issue = {2},
      pages={660--673},
      url = {http://ieeexplore.ieee.org/iel5/78/4359509/06072307.pdf?arnumber=6072307}
    }
IVC nonrigid structure from motion A Non-rigid Structure from Motion algorithm for full perspective cameras using Bundle Adjustment and rigidity priors.
  • X. Lladó, A. Del Bue, and L. Agapito, "Non-rigid metric reconstruction from perspective cameras," Image and Vision Computing, vol. 28, iss. 9, pp. 1339-1353, 2010.
    @Article{Llado:etal:IVC2010,
      author = {X. Llad\'{o} and A. {Del Bue} and L. Agapito},
      title = {Non-rigid metric reconstruction from perspective cameras},
      journal = {Image and Vision Computing},
      year = {2010},
      volume = {28},
      number = {9},
      pages = {1339 - 1353}
    }

Comments are closed.