Paper accepted in in MIDL 2018
Size-constraint loss for weakly supervised CNN segmentation. Selected for special issue in Medical Image Analysis journal. Congrats!!

Call for papers for IPTA 2018

LIVIA in CHI 2018 conference in Montreal
Read more.

Seminars in LIVIA

  The Laboratory of Imaging, Vision and Artificial Intelligence (LIVIA) is a research group accredited by ÉTS which brings together several professors, associate members and graduate students. The unifying theme of LIVIA is the perception and modeling of dynamic environments (2D and 3D scenes, speech, etc.) using techniques in artificial intelligence. The laboratory's scientific orientation revolves around the key foundations of "large-scale processing, analysis and interpretation of images and videos"

   From a scientific point of view, LIVIA's research and development activities are based on six main conceptual axes and their main fields of application: (1) machine learning, (2) computer vision, (3) pattern recognition, (4) adaptive and intelligent systems, (5) information fusion, and (6) optimization of complex systems.

   The techniques developed at LIVIA are used to solve concrete and complex problems, for example, in the development of convolutional neural networks to detect tumors or the level of depression of a patient, and this in a context where must deal with a massive amount of data that typically has limited annotations. The fields of application which are the subject of our main research initiatives are: (a) the analysis of medical, satellite, aerial images, etc., (b) biometrics (recognition of individuals from the signature, the face, the voice, etc.), (c) automatic processing of handwritten documents, (d) affective computing for health monitoring, and (e) security and surveillance.

  The main achievements of the laboratory emphasize the training of highly qualified personnel and the dissemination of scientific results in internationally recognized conferences and journals.