OculusAI Labs

What is Oculus Labs

OculusAI is big on innovation! Our products and vision are grounded in bleeding-edge research in such fields as High Performance Computing, Computer Vision, Machine Learning and Artificial Intelligence. Combining great technology with great science brings us closer than ever to our dream of Computer Vision and AI for everyone and constantly puts us ahead of the state of the art. OculusLabs makes us more than a technology transfer company, it makes innovation part of what we are!

Project 1: Productify

Productify is the product-search of tomorrow: It's a simple mobile point-click-buy solution for apparel. As an e-retailer of apparel all you need to do is to provide us with your product feed and we will make it visually searchable through Productify. This translates into qualified leads to your site. Productify is the best and most straightforward way for an e-commerce player to transition into m-commerce, tapping into the huge potential of the mobile web!
OculusAI's unique Computer Vision Cloud provides the powerful back-end that integrates the e-commerce content with the advanced recognition algorithmics.

internships/jobs

We are constantly on the search for brilliant ambitious researchers, students and research engineers. We offer exciting internships and Master's projects in Computer Vision, Machine Learning, AI and Robotics within a thriving research and engineering environment.

Project2: Robots with BigBrain

With our own cloud infrastructure we have the unique opportunity to bring robotics into the world of distributed computation. Robots with BigBrain is the project where we explore robotics with a whole new level of computational resources by scaling classic robotics technology to run across our entire set of servers. When experiments that used to take minutes takes seconds and experiments that used to take hours takes minutes, we can afford to use massively larger datasets and use a more rapid development cycle than previously possible.

Publications

A. Pronobis and P. Jensfelt. Large-scale semantic mapping and reasoning with heterogeneous modalities. In Proceedings of the 2012 IEEE International Conference on Robotics and Automation (ICRA'12), Saint Paul, MN, USA, May 2012.

A. Pronobis and P. Jensfelt. Hierarchical multi-modal place categorization. In Proceedings of the 5th European Conference on Mobile Robots (ECMR'11), Örebro, Sweden, Sept. 2011.

A. Susano Pinto, A. Pronobis, and L. Paulo Reis. Novelty detection using graphical models for semantic room classification. In Proceedings of the 15th Portuguese Conference on Artificial Intelligence (EPIA'11), Lisbon, Portugal, Oct. 2011.

O. Danielsson, B. Rasolzadeh, S. Carlsson. “Gated Classifier: Boosting underhigh intra-class variation”. Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition (CVPR'11), Colorado Springs, USA, June 2011.

A. Pronobis. Semantic Mapping with Mobile Robots. PhD thesis, Royal Institute of Technology (KTH), Stockholm, Sweden, June 2011.

A. Pronobis, K. Sjöö, A. Aydemir, A. N. Bishop, and P. Jensfelt. Representing spatial knowledge in mobile cognitive systems. In 11th International Conference on Intelligent Autonomous Systems (IAS-11), Ottawa, Canada, Aug. 2010.

A. Pronobis, J. Luo, and B. Caputo. The more you learn, the less you store: Memory-controlled incremental SVM for visual place recognition. Image and Vision Computing (IMAVIS), Special Issue on Online Pattern Recognition and Machine Learning Techniques for Computer-Vision: Theory and Applications, 28(7):1080-1097, July 2010.

A. Pronobis, O. M. Mozos, B. Caputo, and P. Jensfelt. Multi-modal semantic place classification. The International Journal of Robotics Research (IJRR), Special Issue on Robotic Vision, 29(2-3):298-320, Feb. 2010.

B. Rasolzadeh, M. Björkman, K. Huebner, D. Kragic. ”An Active VisionSystem for Detecting, Fixating and Manipulating Objects in Real World”. International Journal of Robotics Research, 29(2-3):133-154, Feb. 2010.

A. Pronobis, B. Caputo, P. Jensfelt, and H. I. Christensen. A realistic benchmark for visual indoor place recognition. Robotics and Autonomous Systems (RAS), 58(1):81-96, Jan. 2010.

A. Pronobis and B. Caputo. COLD: COsy Localization Database. The International Journal of Robotics Research (IJRR), 28(5):588-594, May 2009.

A. Pronobis, K. Sjöö, A. Aydemir, A. N. Bishop, and P. Jensfelt. A framework for robust cognitive spatial mapping. In Proceedings of the 14th International Conference on Advanced Robotics (ICAR'09), Munich, Germany, June.

A. Pronobis, O. M. Mozos, and B. Caputo. SVM-based discriminative accumulation scheme for place recognition. In Proceedings of the 2008 IEEE International Conference on Robotics and Automation (ICRA'08), pages 522-529, Pasadena, CA, USA, May 2008.

M. M. Ullah, A. Pronobis, B. Caputo, J. Luo, P. Jensfelt, and H. I. Christensen. Towards robust place recognition for robot localization. In Proceedings of the 2008 IEEE International Conference on Robotics and Automation (ICRA'08), pages 530-537, Pasadena, CA, USA, May 2008.

H. Maboudi Afkham, A. Tavakoli Targhi, J.-O. Eklundh, and A. Pronobis. Joint visual vocabulary for animal classification. In Proceedings of the 2008 19th International Conference on Pattern Recognition (ICPR'08), Tampa, FL, USA, Dec. 2008.

Patents