Songyou Peng (彭崧猷)

I am a PhD student at ETH Zurich and Max Planck Institute for Intelligent Systems as part of Max Planck ETH Center for Learning Systems. I am fortunately supervised by Prof. Marc Pollefeys and Prof. Andreas Geiger. I am currently working at Computer Vision & Geometry Lab (CVG) at ETH Zurich.

Previously, I was a research engineer at Advanced Digital Sciences Center (ADSC), a research center of University of Illinois Urbana-Champaign (UIUC) based in Singapore. I was also working at Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore.

I completed an Erasmus Mundus Masters in Computer Vision and Robotics (VIBOT) with distinction. During the master, I was fortunate to be supervised by Prof. Daniel Cremers at Technical University of Munich (TUM) for my thesis and work with Prof. Peter Sturm at INRIA Grenoble for two summers. Before this, I obtained a Bachelors in Automation at Xi'an Jiaotong University (XJTU).

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headshot
News
Research

I am interested in computer vision espcially 3D vision and deep learning.

Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty
Songyou Peng and Peter Sturm
International Conference on Computer Vision (ICCV), 2019 (Oral)
paper

A novel system that interactively guides a user towards taking optimal calibration images.

Photometric Depth Super-Resolution
Bjoern Haefner*, Songyou Peng*, Alok Verma*, Yvain Queau, Daniel Cremers
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019. In press.
(* equal contribution)
paper / project page

Photometric techniques to recover high-resolution depth maps with fine geometric details.

PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship
Le Zhang, Songyou Peng, Stefan Winkler
In Submission
arxiv

Give Me One Portrait Image, I Will Tell You Your Emotion and Personality
Songyou Peng, Le Zhang, Stefan Winkler, Marianne Winslett
ACM International Conference on Multimedia (ACM MM), 2018
paper / bibtex / slides

Technical Demo. A deep Siamese-like network is introduced to predict one's Big-Five personality and arousal-valence emotion from one portrait photo.

Depth Super-Resolution Meets Uncalibrated Photometric Stereo
Songyou Peng, Bjoern Haefner, Yvain Queau, Daniel Cremers
International Conference on Computer Vision (ICCV) Workshops, 2017
paper / bibtex / slides / code & data

A novel depth super-resolution approach for RGB-D sensors is presented.

High Quality Shape from a RGB-D Camera using Photometric Stereo
Songyou Peng
M.Sc. Thesis, Techinical University of Munich
Supervisor: Yvain Queau and Daniel Cremers
thesis / bibtex / poster

Selected Projects

A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues
Songyou Peng, Le Zhang, Yutong Ban, Meng Fang, Stefan Winkler
IJCNN One-Minute Gradual (OMG) Emotion Behavior Challenge, 2018
leaderboard / arxiv / code

1st for vision-only arousal/valence prediction and 2nd for overall valence prediction.

A Hybrid SLAM and Object Recognition System for Pepper Robot
Songyou Peng*, Kaisar Kushibar*, Paola Ardon*
VIBOT Robotics Project, 2016
arxiv / video / code

We apply visual SLAM on the Pepper robot along with object recognition.


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Last updated: September 2019