I am an Assistant Professor at UBC. Prior to that, I was lecturer at EPFL and postdoctoral researcher in the Computer Vision Lab of Pascal Fua and PhD candidate in the GVV group of Christian Theobalt at the Max-Plack-Institute for Informatics.
Check out [Linkedin/Rhodin] for a timeline.

My research interests range from 3D computer vision, over machine learning, to computer graphics and augmented reality. With the aim of enabling tight and rich, yet natural and non-intrusive computer-human interaction, I advance 3D vision algorithms to yield high-quality dynamic reconstructions of our everyday environment from plain video input. The latest VR and AR devices offer incredible display capabilities; my 3D vision projects complement them to aid mutual human-computer interaction in our everyday life.


Open Positions

Postdoc positions
Please reach out with your resume, transcript of records, and a short motivation statement. At the moment, I can only support self-funded applicants.
Graduate student positions
If you would like to join my team, please apply via the official [UBC application page]. The deadline is in December 2020 for fall 2021. I will carefully consider all applications naming me as potential supervisor.
Undergrad positions
Please apply latest in January for summer internships in the same year. Internships are restricted to 14 weeks or more. Please send your CV and transcripts.


Publications

Check out [Google Scholar/Rhodin] for a complete list and statistics.

2020

XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Mohamed Elgharib, Pascal Fua, Hans-Peter Seidel, Helge Rhodin, Gerard Pons-Moll, Christian Theobalt
SIGGRAPH 2020 *New*
[paper pdf] [Demo@CVPR19] [SelecSLS-Pytorch code]
Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
Siyuan Li, Semih Günel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, and Helge Rhodin
CVPR 2020
[paper pdf]
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction
Yuan Yao, Nico Schertler, Enrique Rosales, Helge Rhodin, Leonid Sigal, and Alla Sheffer
CVPR 2020
[paper pdf]
ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture
Sena Kiciroglu, Helge Rhodin, Sudipta Sinha, Mathieu Salzmann, Pascal Fua
CVPR 2020 (oral presentation)
[paper pdf]

 2019

DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
Semih Günel, Helge Rhodin, Daniel Morales, João H Campagnolo, Pavan Ramdya, Pascal Fua
eLIFE 2019
[paper pdf]
Self-supervised Training of Proposal-based Segmentation via Background Prediction
Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, and Pascal Fua
arXiv 2019
[paper pdf]
Gravity as a Reference for Estimating a Person's Height from Video
Didier Bieler, Semih Günel, Pascal Fua, and Helge Rhodin
ICCV 2019
[paper pdf] [video]
Motion Capture from Pan-Tilt Cameras with Unknown Orientation
Roman Bachmann, Jörg Spörri, Pascal Fua, and Helge Rhodin
3DV 2019 (oral presentation)
[paper pdf] [2D ski pose dataset]
Neural Scene Decomposition for Multi-Person Motion Capture
Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, and Pascal Fua
CVPR 2019
[paper pdf] [video] [code]
Mo2Cap2: Real-time Mobile 3D Motion Capture with a Cap-Mounted Fisheye Camera
Weipeng Xu, Avishek Chatterjee, Michael Zollhöfer, Helge Rhodin, Pascal Fua, Hans-Peter Seidel, and Christian Theobalt
TVCG 2019 (IEEE VR) Best Journal Paper Honorable Mention Award
[paper pdf] [video and project page]
Are Existing Monocular Computer Vision-Based 3D Motion Capture Approaches Ready for Deployment? A Methodological Study on the Example of Alpine Skiing
Mirela Ostrek, Helge Rhodin, Pascal Fua, Erich Müller, and Jörg Spörri Sensors 2019
[paper pdf]

 2018

NRST: Non-rigid Surface Tracking from Monocular Video
Marc Habermann, Weipeng Xu, Helge Rhodin, Michael Zollhoefer, Gerard Pons-Moll, and Christian Theobalt
GCPR 2018 (oral presentation)
Unsupervised Geometry-Aware Representation Learning for 3D Human Pose Estimation
Helge Rhodin, Mathieu Salzmann, and Pascal Fua
ECCV 2018 (oral presentation)
[project page] [paper pdf] [video] [code]
Learning Monocular 3D Human Pose Estimation from Multi-view Images
Helge Rhodin, Jörg Spörri, Isinsu Katircioglu, Victor Constantin, Frédéric Meyer, Erich Müller, Mathieu Salzmann, and Pascal Fua
CVPR 2018 (spotlight presentation)
[project page] [paper pdf] [video]
MonoPerfCap: Human Performance Capture from Monocular Video
Weipeng Xu, Avishek Chatterjee, Michael Zollhöfer, Helge Rhodin, Dushyant Mehta, Hans-Peter Seidel, and Christian Theobalt
TOG 2018 (oral presentation at SIGGRAPH 2018)
[project page] [paper pdf] [video]
What Face and Body Shapes Can Tell About Height
Semih Günel, Helge Rhodin, and Pascal Fua
arXiv 2018
[paper pdf]

 2017

Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision
Dushyant Mehta, Helge Rhodin, Dan Casas, Pascal Fua, Oleksandr Sotnychenko, Weipeng Xu, and Christian Theobalt
3DV 2017 (oral presentation)
[project page] [dataset] [paper pdf]
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
Dushyant Mehta, Srinath Sridhar, Oleksandr Sotnychenko, Helge Rhodin, Mohammad Shafiei, Hans-Peter Seidel, Weipeng Xu, Dan Casas, and Christian Theobalt
SIGGRAPH 2017 (oral presentation)
[project page] [paper pdf] [video] [CVPR 2017 demo project page]

 2016

From Motion Capture to Interactive Virtual Worlds
Towards Unconstrained Motion-capture Algorithms for Real-time Performance-driven Character Animation
Helge Rhodin
PhD Dissertation, Saarland University, 2016
[thesis pdf]
EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras
Helge Rhodin, Christian Richardt, Dan Casas, Eldar Insafutdinov, Mohammad Shafiei, Hans-Peter Seidel, Bernt Schiele, and Christian Theobalt
SIGGRAPH Asia 2016 (oral presentation)
[project page] [dataset] [paper pdf] [video]
Model-based Outdoor Performance Capture
Nadia Robertini, Dan Casas, Helge Rhodin, Hans-Peter Seidel, and Christian Theobalt
3DV 2016
[project page] [paper pdf] [video]
General Automatic Human Shape and Motion Capture Using Volumetric Contour Cues
Helge Rhodin, Nadia Robertini, Dan Casas, Christian Richardt, Hans-Peter Seidel, and Christian Theobalt
ECCV 2016 (spotlight presentation)
[project page] [paper pdf] [video]

 2015

A Versatile Scene Model with Differentiable Visibility Applied to Generative Pose Estimation
Helge Rhodin, Nadia Robertini, Christian Richardt, Hans-Peter Seidel, and Christian Theobalt
ICCV 2015
[project page] [paper pdf] [video]
Generalizing Wave Gestures from Sparse Examples for Real-time Character Control
Helge Rhodin, James Tompkin, Kwang In Kim, Edilson de Aguiar, Hanspeter Pfister, Hans-Peter Seidel, and Christian Theobalt
SIGGRAPH Asia 2015 (oral presentation)
[project page] [paper pdf] [video]

 2014

Real-time Hand Tracking Using a Sum of Anisotropic Gaussians Model
Srinath Sridhar, Helge Rhodin, Hans-Peter Seidel, Antti Oulasvirta, and Christian Theobalt
3DV 2014 (oral presentation)
[project page] [paper pdf] [video]
Interactive Motion Mapping for Real-time Character Control
Helge Rhodin, James Tompkin, Kwang In Kim, Kiran Varanasi, Hans-Peter Seidel, and Christian Theobalt
Eurographics 2014 (oral presentation)
[project page] [paper pdf] [video]

 2013 and before

A Mathematically Justified Algorithm for Shape from Texture
Helge Rhodin and Michael Breuß
SSVM 2013
A PTX Code Generator for LLVM
Helge Rhodin
B.Sc. Thesis, Saarland University, 2010.
[project page] [thesis pdf]
AnySL

The goal of AnySL is the development of a unified shading system that is independent of source language, target architecture and rendering engine without sacrificing runtime performance. My focus was on the GPU code generation. The AnySL project is joined work of the Compiler Design Lab of Prof. Sebastian Hack and the Computer Graphics Group of Prof. Philipp Slusallek.

Roboking Competition

As Team Hamburg we were able to win twice the international Roboking competition hosted by the Chemnitz University of Technology. The goal was to construct and program an autonomous robot capable of fulfilling the given objectives without human intervention. The team was mentored by Andreas Rhodin and consisted of Julian Bende, Paul Bröker, Daniel Reck, and Helge Rhodin.


Team

Lead

Helge Rhodin

Graduate

Yuchi Zhang
 
 
Farnoosh Javadi
(co-supervision,
Jim Little)
Tim Straubinger
(co-supervision,
Robert Xiao)

Undergraduate

Yizhuo Joyce He
Willis Peng
James Tang

Teaching

 2020

CPSC 533R: Visual AI

Deep Learning for computer vision and graphics.


Lecturer: Helge Rhodin

 2019

CPSC 532R/533R: Visual AI

Deep Learning models for computer graphics and computer vision.


Lecturer: Helge Rhodin

 2017 & 2018

EPFL CS 328
Numerical Methods for Visual Computing
Lecturer: Wenzel Jakob and Helge Rhodin

 2015 & 2016

MPI / Saarland University
Computer Vision for Computer Graphics
Lecturer: Christian Theobalt, Christian Richardt and Dan Casas. Assisted by Helge Rhodin.