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Mario Fritz has been working in diverse areas of computer vision. He's main focus during the Ph.D. was on recognition, detection and tracking of visual object categories. In particular, he was investigating different ways of providing supervision, combining different feature characteristics and modeling visual categories. Currently, he works on addressing challenges in computer vision and machine learning that enable us to build computer vision systems that combine multiple modalities in order to address problems relevant to applications in robotics.
An Additive Latent Feature Model for Transparent Object Recognition
as author at Conference Sessions,
Pascal Challenge TU Darmstadt
as author at PASCAL First Challenges Workshop, Southampton 2005,