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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About
About
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Self-Supervised Feature Learning by Learning to Spot Artifacts
Published in IEEE Conference on Computer Vision and Pattern Recognition 2018 (spotlight)
Recommended citation: S. Jenni, and P. Favaro. "Self-Supervised Feature Learning by Learning to Spot Artifacts." In CVPR 2018.
Deep Bilevel Learning
Published in European Conference on Computer Vision 2018
Recommended citation: S. Jenni, and P. Favaro. "Deep Bilevel Learning." In ECCV 2018.
On Stabilizing Generative Adversarial Training with Noise
Published in IEEE Conference on Computer Vision and Pattern Recognition 2019
Recommended citation: S. Jenni, and P. Favaro. "On Stabilizing Generative Adversarial Training with Noise." In CVPR 2019.
EEG-based Outcome Prediction after Cardiac Arrest with Convolutional Neural Networks: Performance and Visualization of Discriminative Features
Published in Human Brain Mapping 2019
Recommended citation: S. Jonas, A. Rossetti, M. Oddo, S. Jenni, P. Favaro and F. Zubler. "EEG-based Outcome Prediction after Cardiac Arrest with Convolutional Neural Networks: Performance and Visualization of Discriminative Features." In HBM 2019.
Learning to Have an Ear for Face Super-Resolution
Published in IEEE Conference on Computer Vision and Pattern Recognition 2020 (oral)
Recommended citation: G.Meishvili, S. Jenni, and P. Favaro. "Learning to Have an Ear for Face Super-Resolution." In CVPR 2020.
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics
Published in IEEE Conference on Computer Vision and Pattern Recognition 2020 (oral)
Recommended citation: S. Jenni, H. Jin, and P. Favaro. "Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics." In CVPR 2020.
Video Representation Learning by Recognizing Temporal Transformations
Published in European Conference on Computer Vision 2020
Recommended citation: S. Jenni, G. Meishvili, and P. Favaro. "Video Representation Learning by Recognizing Temporal Transformations." In ECCV 2020.
Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation
Published in Asian Conference on Computer Vision 2020 (oral)
Recommended citation: S. Jenni, and P. Favaro. "Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation." In ACCV 2020.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Machine Learning
BSc course, University of Bern, 2017-2019
I am a teaching assistant in this introductory machine learning course.
Advanced Topics in Machine Learning
MSc course, University of Bern, 2018-2020
I am a teaching assistant in this introductory deep learning course.
Bern Winter School on Machine Learning
Winter school, Hotel Regina, Muerren, 2019
I gave theory lectures on the basics of machine learning and deep learning.