Federica Bogo

I am a scientist at Meta Reality Labs Research, working on computer vision, computer graphics and machine learning.

Before joining Meta in 2022, I spent almost six years at Microsoft (MR & AI Lab Cambridge and Zürich), where I worked on the real-time hand tracking for HoloLens 2, HoloLens Research Mode and Microsoft Mesh.

I received my PhD from the University of Padova (Italy). From the same university, I hold degrees in Philosophy (BA) and Computer Engineering (BS, MS). During part of my PhD I was an affiliated student at the Perceiving Systems Department of the Max Planck Institute for Intelligent Systems (Germany), where I spent also one year as postdoctoral researcher.

I grew up in a small town in Italy, close to the Dolomites.

Google Scholar / LinkedIn / Twitter

Research

I am interested in models of human shape, pose and motion - both to generate expressive virtual human representations and to allow efficient, automated analysis of existing images.
In the past I worked on medical imaging, design and analysis of algorithms for networks and high-performance computing.
For a complete list of publications, including technical reports and patents, please see my Google Scholar profile.

	EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Taein Kwon, Marc Pollefeys, Federica Bogo, Siyu Tang ECCV, 2022 project page with code and data / bibtex
	Learning to Fit Morphable Models Vasileios Choutas, Federica Bogo, Jingjing Shen, Julien Valentin ECCV, 2022 bibtex
	FLAG: Flow-based 3D Avatar Generation from Sparse Observations Sadegh Aliakbarian, Pashmina Cameron, Federica Bogo, Andrew Fitzgibbon, Tom Cashman CVPR, 2022 project page / bibtex
	Spatial Computing and Intuitive Interaction: Bringing Mixed Reality and Robotics Together Jeffrey Delmerico, Roi Poranne, Federica Bogo, Helen Oleynikova, Eric Vollenweider, Stelian Coros, Juan Nieto, Marc Pollefeys IEEE Robotics and Automation Magazine, 2022 bibtex
	Spatio-Temporal Human Shape Completion with Implicit Function Networks Boyao Zhou, Jean-Sebastien Franco, Federica Bogo, Edmond Boyer 3DV, 2021 bibtex
	Learning Motion Priors for 4D Human Body Capture in 3D Scenes Siwei Zhang, Yan Zhang, Federica Bogo, Marc Pollefeys, Siyu Tang ICCV, 2021 project page with code / bibtex
	H2O: Two Hands Manipulating Objects for First Person Interaction Recognition Taein Kwon, Bugra Tekin, Jan Stühmer, Federica Bogo, Marc Pollefeys ICCV, 2021 project page with code and data / bibtex
	Towards Markerless Surgical Tool and Hand Pose Estimation Jonas Hein, Matthias Seibold, Federica Bogo, Mazda Farshad, Marc Pollefeys, Philipp Fürnstahl, Nassir Navab International Journal of Computer Assisted Radiology and Surgery, 2021 (* equal contribution) project page with code and data / bibtex
	Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition Huseyin Coskun, Zeeshan Zia, Bugra Tekin, Federica Bogo, Nassir Navab, Federico Tombari, Harpreet Sawhney TPAMI, 2021 bibtex
	The Phong Surface: Efficient 3D Model Fitting Using Lifted Optimization Jingjing Shen, Tom Cashman, Qi Ye, Tim Hutton, Toby Sharp, Federica Bogo, Andrew Fitzgibbon, Jamie Shotton ECCV, 2020 project page / bibtex
	Reconstructing Human Body Mesh from Point Clouds by Adversarial GP Network Boyao Zhou, Jean-Sebastien Franco, Federica Bogo, Bugra Tekin, Edmond Boyer ACCV, 2020 bibtex
	Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, Cordelia Schmid CVPR, 2020 project page with code / bibtex
	H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions Bugra Tekin, Federica Bogo, Marc Pollefeys CVPR, 2019 bibtex
	Towards Accurate Marker-less Human Shape and Pose Estimation over Time Yinghao Huang, Federica Bogo, Christoph Lassner, Angjoo Kanazawa, Peter V. Gehler, Javier Romero, Ijaz Akhter, Michael J. Black 3DV, 2017 code / bibtex
	Dynamic FAUST: Registering Human Bodies in Motion Federica Bogo, Javier Romero, Gerard Pons-Moll, Michael J. Black CVPR, 2017 project page with data / bibtex
	Unite the People: Closing the Loop between 3D and 2D Human Representations Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter V. Gehler CVPR, 2017 project page with code and data / bibtex
	Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter V. Gehler, Javier Romero, Michael J. Black ECCV, 2016 (* equal contribution) project page with code / bibtex
	Detailed Full-Body Reconstructions of Moving People from Monocular RGB-D Sequences Federica Bogo, Michael J. Black, Matthew Loper, Javier Romero ICCV, 2015 project page / bibtex
	Where's the lesion? Variability in Human and Automated Segmentation of Dermoscopy Images of Melanocytic Skin Lesions Federica Bogo, Francesco Peruch, Anna Belloni Fortina, Enoch Peserico Dermoscopy Image Analysis, 2015 bibtex
	Automated Detection of New or Evolving Melanocytic Lesions using a 3D Body Model Federica Bogo, Javier Romero, Enoch Peserico, Michael J. Black MICCAI, 2014 bibtex
	FAUST: Dataset and Evaluation for 3D Mesh Registration Federica Bogo, Javier Romero, Matthew Loper, Michael J. Black CVPR, 2014 (Dataset Award, Eurographics Symposium on Geometry Processing (SGP), 2016) project page with data / bibtex
	Simple, Fast, Accurate Melanocytic Lesion Segmentation through MEDS Francesco Peruch, Federica Bogo, Michele Bonazza, Marco Bressan, Vincenzo-Maria Cappelleri, Enoch Peserico IEEE Transactions on Biomedical Engineering, 2014 bibtex
	Optimal Throughput and Delay in Delay-Tolerant Networks with Ballistic Mobility Federica Bogo, Enoch Peserico ACM Mobicom, 2013 bibtex

Teaching

Lecturer, Mixed Reality Course, ETH Zürich (2019, 2020, 2021)

Design and source code from Jon Barron's website