Tejaswini Medi

Researcher

University of Mannheim

B6, 28–29, Room C 001, 68159, Mannheim

Email: tejaswini.medimail-uni-mannheim.de

Webpage: tejaswinimedi.github.io

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Research Interests

Robustness and Fairness of Deep Learning Models
Image and 3D Generation
Representation Learning

Publications

Tejaswini Medi, Julia Grabinski, Margret Keuper, “Towards Class-wise Robustness Analysis” accepted at OOD Generalization in Computer Vision Workshop, ICCV 2023.Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad, Frank Lindseth, Margret Keuper, “FullFormer: Generating Shapes Inside Shapes”, accepted at DAGM German Conference on Pattern Recognition, Heidelberg, 2023. Tejaswini Medi, Steffen Jung, Margret Keuper, " FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training”, accepted at Proceedings of the Winter Conference on Applications of Computer Vision (WACV), 2025

Teaching

Teaching Assistant

Generative Computer Vision Models ( FSS 2024, FSS 2025)
Machine Learning ( HWS 2024)
Seminar Organization (AI Safety & Robustness) ( FSS 2025)
Seminar Supervision ( HWS 2024 – FSS 2025)

Community Participation

Active Reviewer for TPAMI, CVPR and NeurIPS Conferences

Dr. Ülfet Isci-Özalp

Postdoctoral Researcher at the Chair of Quantitative Marketing

uelfet.isciuni-mannheim.de

Credit: klassisch-modern

Main fields of research

electronic-Word-of-Mouth (eWOM)
Consumer Behavior
Consumer Psychology

Curriculum vitae

2021	Post-Doctoral Researcher at the Chair of Quantitative Marketing, University of Mannheim
2020	Doctoral Degree (PhD) in Marketing, Gebze Technical University, Turkey
2016	DAAD Visiting Researcher at the Chair of Quantitative Marketing and Consumer Analytics, University of Mannheim
2009–2018	Research and Teaching Assistant at the Chair of Marketing, Turkish-German University in Istanbul; Kırklareli University, Turkey
2011	Master of Science in Marketing, University of Marmara, Turkey

Selected publications

Currently there are no publications available for this list.