Katerina Fragkiadaki
I am interested in building machines that understand the stories that videos portray, and, inversely, in using videos to teach machines about the world. The pen-ultimate goal is to build a machine that understands movie plots, and the ultimate goal is to build a machine that would want to watch Bergman over this.
I am an Assistant Professor in the Machine Learning Department at Carnegie Mellon. Prior to joining MLD's faculty I spent three wonderful years as a post doctoral researcher first at UC Berkeley working with Jitendra Malik and then at Google Research in Mountain View working with the video group. I completed my Ph.D. in GRASP, UPenn with Jianbo Shi. I did my undergraduate studies at the National Technical University of Athens and before that I was in Crete.
Dear prospective graduate students: There is no need to email, please submit your application to our School following the links here: MLD Ph.D. or R.I. Ph.D.
8107 Gates Hillman
Carnegie Mellon University
Pittsburgh, PA, 15213
katef 'at' cs.cmu.edu
Admin: Amy Protos, aprotos@cs.cmu.edu
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News
Teaching
Selected Publications
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Learning Spatial Common Sense with Geometry-Aware Recurrent Networks
Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki
arxiv
paper
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Model Learning for Look-ahead Exploration in Continuous Control
Arpit Agarwal, Katharina Muelling and Katerina Fragkiadaki
AAAI 2019, oral presentation
paper | project page wth code
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Data Dreaming for Object Detection: Learning Object-Centric State Representations for Visual Imitation
Maximilian Sieb and Katerina Fragkiadaki
Humanoids 2018, oral presentation
paper | slides
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Reinforcement Learning of Active Vision for Manipulating Objects under Occlusionss
Ricson Cheng, Arpit Agarwal, and Katerina Fragkiadaki
CoRL 2018
paper | slides | code
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Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
Ricson Cheng, Ziyan Wang, and Katerina Fragkiadaki
NIPS 2018
paper
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Reward Learning from Narrated Demonstrations
Fish Tung, Adam Harley, Liang-Kang Huang, Katerina Fragkiadaki
CVPR 2018
paper | bibtex
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Depth-adaptive Computational Policies for Efficient Visual Tracking
Chris Ying, Katerina Fragkiadaki
EMMCVPR 2017
paper | bibtex
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Self-supervised Learning of Motion Capture
Hsiao-Yu Fish Tung, Wei Tung, Ersin Yumer, Katerina Fragkiadaki
NIPS 2017, spotlight
paper | bibtex | code
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Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and mage-to-Image Translation from Unpaired Supervision
Hsiao-Yu Fish Tung, Adam Harley, William Seto and Katerina Fragkiadaki
ICCV 2017
paper | bibtex | code
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SfM-Net: Learning of Structure and Motion from Video
Sudheendra Vijayanarasimhan, Susanna Ricco, Cordelia Schmid, Rahul Sukthankar and Katerina Fragkiadaki
arxiv
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Motion Prediction Under Multimodality with Conditional Stochastic Networks
Katerina Fragkiadaki, Jonathan Huang, Alex Alemi, Sudheendra Vijayanarasimhan, Susanna Ricco and Rahul Sukthankar
arxiv | video results
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Learning Feature Hierarchies from Long-Range Temporal Associations in Videos
Panna Felsen, Katerina Fragkiadaki, Jitendra Malik and Alexei Efros
Workshop on Transfer and Multi-task Learning, in conjunction with NIPS 2015
paper
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Learning Predictive Visual Models of Physics for Playing Billiards
Katerina Fragkiadaki*, Pulkit Agrawal*, Sergey Levine and Jitendra Malik
ICLR 2016
paper | project page
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Recurrent Network Models for Human Dynamics
Katerina Fragkiadaki, Sergey Levine, Panna Felsen and Jitendra Malik
ICCV 2015
paper |
project page
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Human Pose Estimation with Iterative Error
Feedback
Joao Carreira, Pulkit Agrawal, Katerina Fragkiadaki, and Jitendra Malik
arXiv
paper|project page with code
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Learning to Segment Moving Objects in Videos
Katerina Fragkiadaki, Pablo Arbelaez, Panna Felsen and Jitendra Malik
CVPR 2015
paper |
poster |
bibtex |
project page with code
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Grouping-Based Low-Rank Video Completion and 3D Reconstruction
Katerina Fragkiadaki, Marta Salas, Pablo Arbelaez, and Jitendra Malik
NIPS 2014
paper |
poster |
bibtex |
project page with code
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Two Granularity Tracking: Mediating Trajectory and
Detection Graphs for Tracking under Occlusions
Katerina Fragkiadaki, Weiyu Zhang, Geng Zhang, and Jianbo Shi
ECCV 2012
paper |
poster |
bibtex |
project page with code
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Video Segmentation by tracing Discontinuities in a Trajectory Embedding
Katerina Fragkiadaki, Geng Zhang, and Jianbo Shi
CVPR 2012
paper
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poster |
bibtex |
project page with code
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Detection-free Tracking: Exploiting Motion and Topology for Segmenting and Tracking under Entanglement
Katerina Fragkiadaki and Jianbo Shi
CVPR 2011
paper
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poster
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bibtex
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Current Graduate Students
Adam Harley, R.I. Ph.D.
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Fish Tung, MLD Ph.D.
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Xian Zhou, R.I. Ph.D.
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Ricson Chen, undergrad CSD
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Ziyan Wang, R.I. Masters
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Max Sieb, R.I. Masters (co-advised with Oliver Kroemer)
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Alumni
MISC
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