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Prathmesh Madhu
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Books and Theses
- 2023
- [b1]Prathmesh Madhu:
Concepts to Computational Constructs: Advanced Scene Understanding for Heterogeneous Artworks Using Deep Learning. University of Erlangen-Nuremberg, Germany, 2023
Journal Articles
- 2024
- [j3]Mathias Zinnen, Prathmesh Madhu, Inger Leemans, Peter Bell, Azhar Hussian, Hang Tran, Ali Hürriyetoglu, Andreas K. Maier, Vincent Christlein:
Smelly, dense, and spreaded: The Object Detection for Olfactory References (ODOR) dataset. Expert Syst. Appl. 255: 124576 (2024) - 2023
- [j2]Prathmesh Madhu, Angel Villar-Corrales, Ronak Kosti, Torsten Bendschus, Corinna Reinhardt, Peter Bell, Andreas K. Maier, Vincent Christlein:
Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning. ACM Journal on Computing and Cultural Heritage 16(1): 1-17 (2023) - [j1]Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Dirk Suckow, Peter Bell, Andreas K. Maier, Vincent Christlein:
ICC++: Explainable feature learning for art history using image compositions. Pattern Recognit. 136: 109153 (2023)
Conference and Workshop Papers
- 2024
- [c10]Adarsh Bhandary Panambur, Hui Yu, Sheethal Bhat, Prathmesh Madhu, Siming Bayer, Andreas K. Maier:
Attention-guided Erasing - Novel Augmentation Method for Enhancing Downstream Breast Density Classification. Bildverarbeitung für die Medizin 2024: 13-18 - 2023
- [c9]Mathias Zinnen, Azhar Hussian, Hang Tran, Prathmesh Madhu, Andreas K. Maier, Vincent Christlein:
SniffyArt: The Dataset of Smelling Persons. SUMAC @ ACM Multimedia 2023: 49-58 - 2022
- [c8]Adarsh Bhandary Panambur, Prathmesh Madhu, Andreas K. Maier:
Effect of Random Histogram Equalization on Breast Calcification Analysis Using Deep Learning. Bildverarbeitung für die Medizin 2022: 173-178 - [c7]Mathias Zinnen, Prathmesh Madhu, Ronak Kosti, Peter Bell, Andreas K. Maier, Vincent Christlein:
ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition. ICPR 2022: 4989-4994 - [c6]Prathmesh Madhu, Anna Meyer, Mathias Zinnen, Lara Mührenberg, Dirk Suckow, Torsten Bendschus, Corinna Reinhardt, Peter Bell, Ute Verstegen, Ronak Kosti, Andreas Maier, Vincent Christlein:
One-Shot Object Detection in Heterogeneous Artwork Datasets. IPTA 2022: 1-6 - [c5]Alexander Schmidt, Prathmesh Madhu, Andreas Maier, Vincent Christlein, Ronak Kosti:
ARIN: Adaptive Resampling and Instance Normalization for Robust Blind Inpainting of Dunhuang Cave Paintings. IPTA 2022: 1-6 - 2021
- [c4]Christian Marzahl, Marc Aubreville, Christof A. Bertram, Jason Stayt, Anne-Katherine Jasensky, Florian Bartenschlager, Marco Fragoso, Ann K. Barton, Svenja Elsemann, Samir Jabari, Jens Krauth, Prathmesh Madhu, Jörn Voigt, Jenny Hill, Robert Klopfleisch, Andreas Maier:
Abstract: Deep Learning-based Quantification of Pulmonary Hemosiderophages in Cytology Slides. Bildverarbeitung für die Medizin 2021: 48 - 2020
- [c3]Prathmesh Madhu, Ronak Kosti, Torsten Bendschus, Corinna Reinhardt, Vincent Christlein, Andreas K. Maier, Peter Bell:
Deep Learning based Attribute Representation in Ancient Vase Paintings. DH 2020 - [c2]Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Peter Bell, Andreas K. Maier, Vincent Christlein:
Understanding Compositional Structures in Art Historical Images Using Pose and Gaze Priors - Towards Scene Understanding in Digital Art History. ECCV Workshops (2) 2020: 109-125 - 2019
- [c1]Prathmesh Madhu, Ronak Kosti, Lara Mührenberg, Peter Bell, Andreas K. Maier, Vincent Christlein:
Recognizing Characters in Art History Using Deep Learning. SUMAC @ ACM Multimedia 2019: 15-22
Data and Artifacts
- 2023
- [d1]Mathias Zinnen, Prathmesh Madhu, Inger Leemans, Peter Bell, Azhar Hussian, Hang Tran, Andreas Maier, Vincent Christlein:
The Object Detection for Olfactory References (ODOR) Dataset. Zenodo, 2023
Informal and Other Publications
- 2024
- [i13]Adarsh Bhandary Panambur, Hui Yu, Sheethal Bhat, Prathmesh Madhu, Siming Bayer, Andreas K. Maier:
Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification. CoRR abs/2401.03912 (2024) - [i12]Alexander Schmidt, Prathmesh Madhu, Andreas K. Maier, Vincent Christlein, Ronak Kosti:
ARIN: Adaptive Resampling and Instance Normalization for Robust Blind Inpainting of Dunhuang Cave Paintings. CoRR abs/2402.16188 (2024) - 2023
- [i11]Adarsh Bhandary Panambur, Prathmesh Madhu, Andreas K. Maier:
Classification of Luminal Subtypes in Full Mammogram Images Using Transfer Learning. CoRR abs/2301.09282 (2023) - [i10]Mathias Zinnen, Prathmesh Madhu, Ronak Kosti, Peter Bell, Andreas K. Maier, Vincent Christlein:
ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition. CoRR abs/2301.09878 (2023) - [i9]Mathias Zinnen, Prathmesh Madhu, Peter Bell, Andreas K. Maier, Vincent Christlein:
Transfer Learning for Olfactory Object Detection. CoRR abs/2301.09906 (2023) - [i8]Mathias Zinnen, Azhar Hussian, Hang Tran, Prathmesh Madhu, Andreas K. Maier, Vincent Christlein:
SniffyArt: The Dataset of Smelling Persons. CoRR abs/2311.11888 (2023) - 2022
- [i7]Adarsh Bhandary Panambur, Prathmesh Madhu, Andreas K. Maier:
Effect of Random Histogram Equalization on Breast Calcification Analysis Using Deep Learning. CoRR abs/2205.01684 (2022) - [i6]Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Dirk Suckow, Peter Bell, Andreas K. Maier, Vincent Christlein:
ICC++: Explainable Image Retrieval for Art Historical Corpora using Image Composition Canvas. CoRR abs/2206.11115 (2022) - [i5]Sonja Kunzmann, Mathias Öttl, Prathmesh Madhu, Felix Denzinger, Andreas K. Maier:
An unobtrusive quality supervision approach for medical image annotation. CoRR abs/2211.06146 (2022) - 2020
- [i4]Prathmesh Madhu, Ronak Kosti, Lara Mührenberg, Peter Bell, Andreas K. Maier, Vincent Christlein:
Recognizing Characters in Art History Using Deep Learning. CoRR abs/2003.14171 (2020) - [i3]Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Peter Bell, Andreas K. Maier, Vincent Christlein:
Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors. CoRR abs/2009.03807 (2020) - [i2]Prathmesh Madhu, Angel Villar-Corrales, Ronak Kosti, Torsten Bendschus, Corinna Reinhardt, Peter Bell, Andreas K. Maier, Vincent Christlein:
Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning. CoRR abs/2012.05616 (2020) - 2019
- [i1]Christian Marzahl, Marc Aubreville, Christof A. Bertram, Jason Stayt, Anne-Katherine Jasensky, Florian Bartenschlager, Marco Fragoso-Garcia, Ann K. Barton, Svenja Elsemann, Samir Jabari, Jens Krauth, Prathmesh Madhu, Jörn Voigt, Jenny Hill, Robert Klopfleisch, Andreas K. Maier:
Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides. CoRR abs/1908.04767 (2019)
Coauthor Index
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