Semih Günel

I am a fourth year doctoral candidate at EPFL, Lausanne, Switzerland. I am doing a joint Ph.D. at Computer Vision Lab and Neuroengineering Lab. I'm interested in computer vision, machine learning, modeling time series, and solving biological problems using data-driven methods.

Before that, I obtained my B.Sc. in Computer Science at Bilkent University, Ankara, Turkey.

My offices are at BC 301 and AI 1125.

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LiftPose3D, a deep learning-based approach for transforming 2D to 3D pose in laboratory animals
Paper  /  Video  /  Code  /  Bibtex
Adam Gostztolai*, Semih Günel*, Marco Pietro Abrate, Daniel Morales, Victor Lobato Rios, Helge Rhodin, Pavan Ramdya, Pascal Fua
bioRxiv, 2020

Performing monocular 3D pose estimation on labarotary animals.

Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
Paper  /  Poster  /  Video  /  Code  /  Bibtex
Siyuan Li, Semih Günel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin
CVPR, 2020

Performing unsupervised pose-estimation using rough animal models.

DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
Paper  /  Video  /  Dataset  /  Code  /  Bibtex
Semih Günel, Helge Rhodin, Daniel Morales, João Campagnolo, Pavan Ramdya, Pascal Fua
eLife, 2019

Multi-view motion capture system for model organism Drosophila Melonagaster.

Mentioned In:
Gravity as a Reference for Estimating a Person's Height from Video
Paper  /  Video  /  Bibtex
Didier Bieler, Semih Günel, Pascal Fua, Helge Rhodin
ICCV, 2019

Monocular scale/height estimation on videos using free-fall motion.

What Face and Body Shapes Tell Us About Height
Paper  /  Dataset  /  Bibtex
Semih Günel, Helge Rhodin, Pascal Fua
ICCVW, 2019  

Monocular scale/height estimation using single images. Monocular human pose dataset with 12,000 person with known height. 1e6 images with a person with known height.

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