Mehdi S. M. Sajjadi

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I am a PhD candidate in my final year under the supervision of Bernhard Schölkopf in the Empirical Inference department. Additionally, I am affiliated with Hendrik Lensch at the University of Tübingen and I am an ETH Zürich Center for Learning Systems associated PhD fellow. Previously, I had been working with Ulrike von Luxburg in the theory of machine learning group at the University of Hamburg.

My research interests include probabilistic and approximate algorithms, game AI, graph theory, computational photography, computer vision and machine learning along with its countless applications. During my PhD, I am focusing on creating efficient intelligent algorithms for use in image and video processing and perceptual metrics for evaluation. More generally, I am working on deep generative models.

Our work with convolutional generative adversarial neural networks has reached state-of-the-art results for the task of single image super-resolution in both quantitative and qualitative benchmarks. We have further reached state-of-the-art results in video super-resolution. A further line of work entails evaluating generative models such as GANs and improving their performance.

Please see the Projects tab for more information.