Machine learning for Computer Vision
Jaime S. Cardoso holds a Licenciatura (5-year degree) in Electrical and Computer Engineering in 1999, an MSc in Mathematical Engineering in 2005 and a Ph.D. in Computer Vision in 2006 from University of Porto. Cardoso is an Assistant Professor at the Faculty of Engineering of the University of Porto (FEUP), where he has been teaching Machine Learning and Computer Vision in Doctoral Programs and multiple courses for the graduate studies.
Cardoso is currently the leader of the ‘Information Processing and Pattern Recognition’ Area in the Telecommunications and Multimedia Unit of INESC Porto.
His research can be summed up in three major topics: computer vision, machine learning and decision support systems. Cardoso has co-authored 100+ papers, 30+ of which in international journals.
Cristian Sminchisescu is a Professor in the Department of Mathematics, Faculty of Engineering, at Lund University. He has obtained a doctorate in computer science and applied mathematics with specialization in imagining, vision and robotics at INRIA, France, under an Eiffel excellence doctoral fellowship, and has done postdoctoral research in the Artificial intelligence Laboratory at the University of Toronto. He holds a Professor equivalent title at the Romanian Academy and a Professor rank, status appointment at Toronto, and advises research at both institutions. During 2004-07, he has been a Faculty member at the Toyota Technological Institute, a philanthropically endowed computer science institute located at the University of Chicago, and during 2007-2012 on the Faculty of the Institute for Numerical Simulation in the Mathematics Department at Bonn University. He is a member of the Editorial Board (Associate Editor) of IEEE Transactions for Pattern Analysis and Machine Intelligence (PAMI). He has offered tutorials on 3d tracking, recognition and optimization at ICCV and CVPR, the Chicago Machine Learning Summer School, the AEFRAI Vision School in Barcelona, and the Computer Vision summer school at ETH in Zurich. Over time, his work has been funded by the United States National Science Foundation, the Romanian Science Foundation, the German Science Foundation, the Swedish Science Foundation, and the European Commission, under a Marie Curie Excellence Grant. Cristian Sminchisescu's research goal is to train computers to `see' and interact with the world seamlessly, as humans do. His research interests are in the area of computer vision (articulated objects, 3d reconstruction, segmentation, and object and action recognition) and machine learning (optimization and sampling algorithms, structured prediction and kernel methods).
Joao Carreira received his doctorate from the University of Bonn, Germany. His thesis focused on sampling class-independent object segmentation proposals using the Constrained Parametric Min-Cuts (CPMC) algorithm, and on studying their feasibility in object recognition and localization. Systems authored by him and colleagues were winners of all four PASCAl VOC Segmentation challenges, 2009-2012. He did post-doctoral work at the Institute of Systems and Robotics in Coimbra, Portugal and is currently with the EECS department, at the University of California in Berkeley, USA. His research interests lie at the intersection of recognition, segmentation, pose estimation and shape reconstruction of objects from a single image.
Vincent Lepetit recently started at TUGraz, Austria, as a Full Professor. Before that, he was a Senior Researcher at the Computer Vision Laboratory, EPFL, Switzerland. He received the engineering and master degrees in Computer Science from the ESIAL in 1996. He received the PhD degree in Computer Vision in 2001 from the University of Nancy, France, after working in the ISA INRIA team. He then joined the Virtual Reality Lab at EPFL (Swiss Federal Institute of Technology) as a post-doctoral fellow and became a founding member of the Computer Vision Laboratory in 2004.
His research interests include vision-based Augmented Reality, 3D camera tracking, object recognition, and 3D reconstruction. He often serves as program committee member and area chair of major vision conferences.
Thomas Whelan received his B.Sc. (Hons) in Computer Science & Software Engineering from the National University of Ireland Maynooth in 2011. He is currently finishing his Ph.D at the National University of Ireland Maynooth under a 3 year post-graduate scholarship from the Irish Research Council. In 2012 he spent 3 months as a visiting researcher at Prof. John Leonard’s group in CSAIL, MIT funded by a Science Foundation Ireland Short-Term Travel Fellowship. As the principal author of the Kintinuous RGB-D SLAM system for dense mapping over large scale environments, his research focuses on developing methods for dense real-time perception and its applications in SLAM and robotics.
Human Computer Interaction
Russell Beale is the Director of the HCI Centre which exists to promote leading-edge research and development in theories, designs, methodologies, and systems to support people in whatever they want to achieve in the School of Computer Science at the University of Birmingham, UK. His research interests include supporting social interaction, mobile and pervasive systems interaction, creative design, and information visualization and access. He received his DPhil in computer science from the University of York. He‘s chair of the British Computer Society’s HCI Special Interest Group.
Hugo Proença received the B.Sc. degree from the University of Beira Interior, Portugal, in 2001, the M.Sc. degree from the Faculty of Engineering, University of Oporto, in 2004, and the Ph.D. degree from the University of Beira Interior, in 2007. His research interests are focused in the artificial intelligence, pattern recognition and biometrics. Currently, he serves as Assistant Professor in the Department of Computer Science, University of Beira Interior. He is the area editor (ocular biometrics) of the IEEE Biometrics Compendium Journal and member of the Editorial Board of the International Journal of Biometrics. Also, he served as Guest Editor of special issues of the Pattern Recognition Letters, Image and Vision Computing and Signal, Image and Video Processing journals.
André Marçal received the B.Sc. degree from the Faculty of Sciences, University of Porto, Portugal, in 1991, the M.Sc. and PhD degree from the University of Dundee, in 1994 and in 1998, respectively. In 1999 received the Remote Sensing Society Student Award (Annual prize for the best PhD) and in 2007 received the Syngenta Innovation Agriculture award. Finally, André Marçal is member of various International conferences Scientific Committee on Remote Sensing and Image Processing, including the review of 51 Full Papers and over 120 Abstracts / Short Papers.