Sean Fanello
I am a Research Scientist and Manager at Google, where I am leading efforts to solve real-world human perception tasks, often relying on performance capture and neural rendering to train deep learning models that generalize to in-the-wild applications.
My research interests include: 3D performance capture, photo realistic rendering, neural rendering, relighting, viewpoint synthesis.
Previously, I was a Senior Scientist and a Founding Team Member at perceptiveIO, Inc., where I developed computer vision and machine learning algorithms for 3D sensing, visual recognition and human-computer interaction.
Prior to that, I was a Post-Doc Researcher in the Interactive 3D Technologies (I3D) group at Microsoft Research Redmond where I substantially contributed to the Hololens 3D sensing capabilities. I was also one of the main contributors for the Holoportation project.
I obtained my PhD in Robotics, Cognition and Interaction Technologies at the Italian Institute of Technology in collaboration with the University of Genoa in 2013. During my PhD I developed computer vision and machine learning techniques for the iCub humanoid robot.
In 2010 I completed my Master’s Degree in Computer Engineering at Sapienza University of Rome, with a specialization in Artificial Intelligence and Pattern Recognition.
Personal website: http://seanfanello.it
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Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers
Phil A. Chou
Hugues Hoppe
Danhang Tang
Jonathan Taylor
Philip Davidson
arXiv:2402.05887 (2024)
Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos
Ziqian Bai
Danhang "Danny" Tang
Di Qiu
Abhimitra Meka
Mingsong Dou
Ping Tan
Thabo Beeler
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE
Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile AR
Yiqin Zhao
Tian Guo
Association for Computing Machinery, New York, NY, USA (2023), 68–73
Sandwiched Image Compression: Increasing the resolution and dynamic range of standard codecs
Phil Chou
Hugues Hoppe
Danhang "Danny" Tang
Philip Davidson
2022 Picture Coding Symposium (PCS), IEEE (to appear)
Total Relighting: Learning to Relight Portraits for Background Replacement
Christian Haene
Sofien Bouaziz
Christoph Rhemann
Paul Debevec
SIGGRAPH and TOG (2021)
Sandwiched Image Compression: Wrapping Neural Networks Around a Standard Codec
Phil Chou
Hugues Hoppe
Danhang "Danny" Tang
Philip Davidson
2021 IEEE International Conference on Image Processing (ICIP), IEEE, Anchorage, Alaska, pp. 3757-3761
Multiresolution Deep Implicit Functions for 3D Shape Representation
Zhang Chen
Kyle Genova
Sofien Bouaziz
Christian Haene
Cem Keskin
Danhang "Danny" Tang
ICCV (2021)
Neural Light Transport for Relighting and View Synthesis
Xiuming Zhang
Yun-Ta Tsai
Tiancheng Sun
Tianfan Xue
Philip Davidson
Christoph Rhemann
Paul Debevec
Ravi Ramamoorthi
ACM Transactions on Graphics, 40 (2021)
HumanGPS: Geodesic PreServing Feature for Dense Human Correspondence
Danhang "Danny" Tang
Mingsong Dou
Kaiwen Guo
Cem Keskin
Sofien Bouaziz
Ping Tan
Computer Vision and Pattern Recognition 2021 (2021), pp. 8
Learning Illumination from Diverse Portraits
Wan-Chun Alex Ma
Christoph Rhemann
Jason Dourgarian
Paul Debevec
SIGGRAPH Asia 2020 Technical Communications (2020)
