I am a PhD student at ETH Zurich, working in the Advanced Interactive Technologies lab with Professor Otmar Hilliges. I received my BSc (2013) and MSc (2015) degrees from Middle East Technical University (METU) in Computer Engineering. Prior to joining ETH, I worked on pattern analysis of functional magnetic resonance imaging at METU.
My research interests lie at the intersection of machine learning, human computer interaction and vision, focusing mainly perception and synthesis of human activities via generative modeling. I am currently working on deep generative temporal models in the following application domains:
- Motion prediction and synthesis.
- Modeling of digital ink for sketches and handwriting.
- Machine Perception (D-INFK) — Spring 2020
- Machine Perception (D-INFK) — Spring 2019
- Visual Computing (D-INFK) — Autumn 2018
- Machine Perception (D-INFK) — Spring 2018
- User Interface Engineering (D-INFK) — Spring 2017
- User Interface Engineering (D-INFK) — Spring 2016
An fMRI Segmentation Method Under Markov Random Fields for Brain Decoding — MSc Thesis, METU
Student ProjectsLearning in-the-wild Temporal 3D Pose Estimation from MoCap Data, Doruk Çetin, 2020, MSc. A Study of Sparse Policy Networks for Deep Reinforcement Learning, Şahan Ayvaz, 2019, MSc. Learning Functionally Decomposed Hierarchies for Continuous Navigation Tasks, Lukas Jendele, 2019, MSc. Stochastic Temporal Convolutional Networks for Speech Enhancement, Sami Hamdan, 2019, MSc. Representation Learning for Sketch Suggestions based on the Combination of Convolutional and Recurrent Networks, Andreas Blöchliger, 2018, MSc — Now at ELCA. Emergence and Imitation of Locomotion in 2D and 3D Environments, Şahan Ayvaz, 2018, BSc. Evaluation of Human Motion Models, Martin Blapp, 2018, BSc. A Deep Learning Approach to Human Motion Sequences Infilling, Manuel Kaufmann, 2017, MSc — now PHD in our group.
Semi-supervised Information Maximising Generative Adversarial Networks, Adrian Spurr, 2016, MSc — now PHD in our group.