Universität Ulm

Poonam has completed her Master in Cognitive Systems at Ulm University in January 2023 before joining the research group Visual Computing.

Research interests

  • Deep Learning for Visualisation
  • Contrastive Learning and Continual Learning
  • Representation Learning
  • Generative AI (Stable Diffusion)
  • Machine Learning

Lectures

  • Generative AI (Project): ST23
  • Generative Deep Learning (Project): WT23/24
  • Visual Computing (Seminar): WT23/24
  • 3D Deep Learning (Lecture): WT23/24
  • Recent trends in visual computing : ST24
  • Project 3D Deep Learning : ST24
  • Recent trends in visual computing : ST24
  • Recent trends in visual computing : WT24/25
  • Project 3D Deep Learning : WT24/25

Theses

I am open to supervising theses in anything related to my research interests. If you are enthusiastic about pursuing a thesis or have a project idea that aligns with my expertise, please don’t hesitate to reach out to me via email or visit my office. Your inquiries are always welcome.

Supervised Theses

2 theses
Master
Benchmarking Text-to-3D Generation with Attribute-Specific Prompts and Evaluation Metrics
Chandramita Bhattacharya
2025
Bachelor
Expanding Dataset Diversity by using Diffusion Models for Synthetic Training Data
Denis Paskevic
2024

Publications

7 papers
PaCoNet: Deep Data Extraction for Parallel Coordinates
PaCoNet: Deep Data Extraction for Parallel Coordinates
Poonam Poonam, Hannah Kniesel, Pere-Pau Vázquez, Timo Ropinski
ICPR 2026 PDF
Evaluating Graphical Perception Capabilities of Vision Transformers
Evaluating Graphical Perception Capabilities of Vision Transformers
Poonam Poonam, Pere-Pau Vázquez, Timo Ropinski
CG 2025 PDF
A Survey on Quality Metrics for Text-to-Image Generation
A Survey on Quality Metrics for Text-to-Image Generation
Sebastian Hartwig, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski
TVCG 2025 PDF
DeepEM Playgound: Bringing Deep Learning to Electron Microscopy Labs
DeepEM Playgound: Bringing Deep Learning to Electron Microscopy Labs
Hannah Kniesel, Poonam Poonam, Tristan Payer, Tim Bergner, Pedro Hermosilla, Timo Ropinski
jmi 2025 ‹›Code
Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics
Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics
Sebastian Hartwig, Dominik Engel, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski
arXiv PDF
LLMMaps - A Visual Metaphor for Stratified Evaluation of Large Language Models
LLMMaps - A Visual Metaphor for Stratified Evaluation of Large Language Models
Patrik Puchert, Poonam Poonam, Christian van Onzenoodt, Timo Ropinski
arXiv PDF
Back to Team