Hans Lobel, Ph.D.(c)

Department of Computer Science

Pontificia Universidad Católica de Chile

halobel@uc.cl

About me
Welcome to my personal site! I'm Ph.D. candidate under the supervision of Professor Alvaro Soto in the Computer Science Department at Pontificia Universidad Católica de Chile (PUC). I'm also part of GRIMA (Machine Intelligence Group), a research group at PUC.
My thesis work focuses on visual recognition using machine learning methods, more specifically in learning efficient visual representations using max-margin methods, to improve visual recognition tasks like image categorization or object detection.
I received my B.S. and M.S. degrees in Computer Science from the Pontificia Universidad Católica de Chile, in 2007 and 2009 respectively.
My research interests are mostly in computer vision, machine learning and optimization methods.
Publications
    2015
  1. H. Lobel, R. Vidal and A. Soto.
    Learning Shared, Discriminative, and Compact Representations for Visual Recognition.
    In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015.
    Download: [pdf]
  2. 2013
  3. H. Lobel, R. Vidal and A. Soto.
    Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition.
    In International Conference on Computer Vision (ICCV), 2013.
    Download: [pdf] [poster]
  4. H. Lobel, R. Vidal, D. Mery and A. Soto.
    Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework. (Best student paper award)
    In Pacific-Rim Symposium on Image and Video Technology (PSIVT), 2013.
    Download: [pdf] [slides]
  5. 2011
  6. D. Mery, I. Lillo, H. Lobel, V. Riffo, A. Soto, A. Cipriano, J.M. Aguilera
    Automated fish bone detection using X-ray imaging.
    In Journal of Food Engineering, 105 (3), 485-492, 2011.
    Download: [pdf]
  7. 2010
  8. D. Mery, I. Lillo, H. Lobel, V. Riffo, A. Soto, A. Cipriano, J.M. Aguilera
    Automated detection of fish bones in salmon fillets using X-ray testing.
    In Pacific-Rim Symposium on Image and Video Technology (PSIVT), 2010.
    Download: [pdf]
Theses
  • H. Lobel
    Real time people counting using wide-baseline stereo and GPGPU (Conteo de personas en tiempo real usando visión estéreo de línea base amplia y GPGPU).
    M.S. degree thesis, Pontificia Universidad Católica de Chile, 2009.
    Download: [pdf]
Teaching
  • IIC2343 - Computer Architecture
    Computer Science Department, Pontificia Universidad Católica de Chile
Contact
  • Department of Computer Science
  • Pontificia Universidad Católica de Chile
  • Av. Vicuña Mackenna 4860, Macul, Santiago.
  • San Agustín Building, 4th floor.
  • Phone: +562 23545802
  • Email: halobel@uc.cl