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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

09.06.2024
GCPR / VMV 2024

GCPR / VMV 2024

We are organizing GCPR / VMV 2024 this fall.

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

More


Yuesong Shen

PhD StudentTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17790
Fax: +49-89-289-17757
Office: 02.09.039
Mail: yuesong [dot] shen [at] in [dot] tum [dot] de

Personal homepage: https://ysngshn.github.io

Research Interests

(Bayesian) deep learning, uncertainty estimation, probabilistic graphical models, machine learning, and how to apply them in computer vision.

Teaching

Summer Term 2022

Winter Term 2021/2022

Summer Term 2021

Winter Term 2020/2021

Summer Term 2020

Winter Term 2019/2020

Summer Term 2019

Winter Term 2018/2019


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2024
Conference and Workshop Papers
[]Variational Learning is Effective for Large Deep Networks (Y Shen, N Daheim, B Cong, P Nickl, GM Marconi, C Bazan, R Yokota, I Gurevych, D Cremers, ME Khan and T Möllenhoff), In International Conference on Machine Learning (ICML), 2024. ([code][blog][tutorial]) [bibtex] [arXiv:2402.17641]Spotlight
2023
Conference and Workshop Papers
[]ResolvNet: A Graph Convolutional Network with multi-scale Consistency (C Koke, A Saroha, Y Shen, M Eisenberger and D Cremers), In NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023.  [bibtex] [arXiv:2310.00431]Oral Presentation
[]Beyond In-Domain Scenarios: Robust Density-Aware Calibration (C Tomani, F Waseda, Y Shen and D Cremers), In Proceedings of the 40th International Conference on Machine Learning (ICML), 2023.  [bibtex] [arXiv:2302.05118]
2022
Conference and Workshop Papers
[]A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs (HHH Hsu, Y Shen and D Cremers), In NeurIPS 2022 Workshop: New Frontiers in Graph Learning, 2022. ([code]) [bibtex] [arXiv:2210.15575]
[]Deep Combinatorial Aggregation (Y Shen and D Cremers), In NeurIPS, 2022. ([code][blog]) [bibtex] [arXiv:2210.06436]
[]What Makes Graph Neural Networks Miscalibrated? (HHH Hsu, Y Shen, C Tomani and D Cremers), In NeurIPS, 2022. ([code]) [bibtex] [arXiv:2210.06391]
2021
Conference and Workshop Papers
[]Explicit pairwise factorized graph neural network for semi-supervised node classification (Y Wang, Y Shen and D Cremers), In UAI, 2021. ([code]) [bibtex] [arXiv:2107.13059]
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Rechte Seite

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

09.06.2024
GCPR / VMV 2024

GCPR / VMV 2024

We are organizing GCPR / VMV 2024 this fall.

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

More