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I am a Ph.D. student in the GRASP laboratory at the University of Pennsylvania, where I work on deep learning and computer vision with Kostas Daniilidis. Previously, I received my bachelor's degree from Czech Technical University in Prague, where I also worked as an undergraduate researcher advised by Tomas Pajdla. For this research, I've also spent two summers at INRIA and TiTech, with Josef Sivic and Akihiko Torii respectively. Google Scholar / GitHub / Email / CV / LinkedIn |
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I am broadly interested in artificial intelligence, computer vision, and cognitive robotics. Recently, I've been working on making machines understand visual motion and intuitive physics in a way that is a little bit closer to human understanding. On the side, I am interested in meta-learning and recurrent visual attention. During my bachelor's, I also worked on camera geometry for structure from motion. |
 
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The method learns the action space of a robot from pure video data. This can be used e.g. to transplant a trajectory of actions from one video into another. Hover the mouse (or tap the screen) here to see the video. |
 
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The model predicts future video frames by learning to represent the present state of a system together with a high-level transformation that is used to produce its future state. Hover the mouse (or tap the screen) here to see the video. |
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MSE loss and its variants are commonly used for training and evaluation of future prediction. But is this the right thing to do? Hover the mouse (or tap the screen) here to see the video. |
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