Is Uncertainty Quantification in Deep Learning Sufficient for Out-of-Distribution Detection? - Adrian Schwaiger; Poulami Sinhamahapatra; Jens Gansloser; Karsten Roscher (AISafety@IJCAI, 2020)

Relation Transformer Network. - Rajat Koner; Poulami Sinhamahapatra; Volker Tresp (CoRR, 2020)

OODformer: Out-Of-Distribution Detection Transformer. - Rajat Koner; Poulami Sinhamahapatra; Karsten Roscher; Stephan Günnemann; Volker Tresp (BMVC, 2021)

Scenes and Surroundings: Scene Graph Generation using Relation Transformer. - Rajat Koner; Poulami Sinhamahapatra; Volker Tresp (CoRR, 2021)

Is it all a cluster game? - Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space. - Poulami Sinhamahapatra; Rajat Koner; Karsten Roscher; Stephan Günnemann (SafeAI@AAAI, 2022)

Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models. - Poulami Sinhamahapatra; Lena Heidemann; Maureen Monnet; Karsten Roscher (VISIGRAPP (5: VISAPP), 2023)

Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes. - Poulami Sinhamahapatra; Suprosanna Shit; Anjany Sekuboyina; Malek El Husseini; David Schinz; Nicolas Lenhart; Bjoern H. Menze; Jan Kirschke; Karsten Roscher; Stephan Günnemann (CoRR, 2024)

Finding Dino: A plug-and-play framework for unsupervised detection of out-of-distribution objects using prototypes. - Poulami Sinhamahapatra; Franziska Schwaiger; Shirsha Bose; Huiyu Wang; Karsten Roscher; Stephan Günnemann (CoRR, 2024)

Zero-Shot Open-Vocabulary OOD Object Detection and Grounding using Vision Language Models. - Poulami Sinhamahapatra; Shirsha Bose; Karsten Roscher; Stephan Günnemann (NLDL, 2025)

Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes. - Poulami Sinhamahapatra; Franziska Schwaiger; Shirsha Bose; Huiyu Wang; Karsten Roscher; Stephan Günnemann (WACV, 2025)