The laboratory collaborates between The Geometric Image Processing Laboratory (GIP) and the Center for Graphics and Geometric Processing (CGGC). The laboratory offers students projects in virtual and augmented reality while emphasizing innovative ideas of man-machine interface. The students implement applications that use advanced virtual reality and augmented reality technologies in 3D graphics and computer vision.
The BML lab develops machine learning algorithms that are designed to account for the social and behavioral context in which they are applied. Our research is inspired by real-world questions regarding the role of machine learning in society. Projects include both theoretical and applied, and rely on an array of tools and theory from both within machine learning and beyond it.
The Intelligent Systems Laboratory was founded in 1989. The scope of activities in the laboratory covers research in different areas and mainly focuses on computer vision, image processing, robotics, and aerial and ground autonomous vehicle navigation. Research projects in the laboratory include undergraduate term and year projects, M.Sc. and Ph.D. theses, and likewise joint industrial-academic research with local hi-tech industrial organizations. ISL’s primary activity occupies theoretical and applied research, as well as interdisciplinary interaction promotion.
We develop novel approaches to increasing the capabilities of AI agents via the use of AI to design the environments in which they are intended to act. Our methods aim to identify AI agents’ inherent capabilities and limitations and find the best way to modify their environment to maximize performance and promote effective multi-agent collaboration.
The LIT-Lab (Learning in Three-dimensions) focuses on deep learning for computer vision, emphasizing perception and generative models for 3D and 4D (dynamic 3D) data. Our research develops cutting-edge techniques for processing diverse 3D and 4D representations, including neural representations, generative models for view synthesis, 3D asset creation, and controllability within generative models. We collaborate closely with leading tech industry partners such as NVIDIA, Google, and Meta, as well as renowned academic institutions including MIT, Berkeley, and Stanford.