- XDGAN: Multi-Modal 3D Shape Generation in 2D Space, BMVC 2022
- Enhancing photorealism enhancement, TPAMI 2023
- Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition, 3DV 2020
- Geometric Image Synthesis, ACCV 2018
- Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes, IJCV 2018
- Augmented Reality Meets Deep Learning For Car Instance Segmentation In Urban Scenes, BMVC 2017
- Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?, ICCV 2017
- A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching, CVPR 2017
- GraphFlow – 6D Large Displacement Scene Flow via Graph Matching, GCPR 2015
Research Experience
- Research Internship with Prof. Vladlen Koltun, Intel. Intelligent Systems Lab., Jan 2019 – July 2019, Munich, Germany
- Research Visit with Prof. Matthias Nießner, TU Munich, July 2019 – Oct 2019, Munich, Germany
Education
- PhD in Computer Vision and Machine Learning, University of Heidelberg and TU Dresden, Jan 2015 – Dec 2020, Heidelberg, Germany
- Master in Color in Informatics and Media Technology (CIMET), University of Granada / University of Jean-Monnet / NTNU Gjøvik, Sep 2012 – Sep 2014, Granada, Spain / Saint-Etienne, France / Gjøvik, Norway
Machine Learning Researcher / Research Engineer currently working at Nvidia AI Research - Toronto. Research interests include Synthetic Media, Generative Models, and 3D Geometry Synthesis.