Ph.D. Dissertation: 'Model-Based Self-Supervision for Fine-Grained Image Understanding'
Paper 'Self-supervised Visual Descriptor Learning for Dense Correspondence' published in Robotics and Automation Letters, awarded Best Robotic Vision Paper Award
Paper 'DART: Dense Articulated Real-Time Tracking with Consumer Depth Cameras' published in Autonomous Robots, Volume 39, Issue 3 (2015)
Paper 'Depth-Based Tracking with Physical Constraints for Robot Manipulation' presented at IEEE ICRA 2015, Finalist for Best Robotic Vision Paper Award
Paper 'DART: Dense Articulated Real-Time Tracking' presented at Robotics: Science and Systems (RSS) 2014
Open-source: Caffe 'DenseCorrespondenceLayer' on GitHub