Prathmesh Madhu

According to our database, Prathmesh Madhu authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Smelly, dense, and spreaded: The Object Detection for Olfactory References (ODOR) dataset.

Mathias Zinnen, Prathmesh Madhu, Inger Leemans, Peter Bell, Azhar Hussian, Hang Tran, Ali Hürriyetoglu, Andreas K. Maier, Vincent Christlein

Expert Syst. Appl., 2024

Attention-guided Erasing - Novel Augmentation Method for Enhancing Downstream Breast Density Classification.

Adarsh Bhandary Panambur, Hui Yu, Sheethal Bhat, Prathmesh Madhu, Siming Bayer, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

The Object Detection for Olfactory References (ODOR) Dataset.

Mathias Zinnen, Prathmesh Madhu, Inger Leemans, Peter Bell, Azhar Hussian, Hang Tran, Andreas Maier, Vincent Christlein

Dataset, October, 2023

ICC++: Explainable feature learning for art history using image compositions.

Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Dirk Suckow, Peter Bell, Andreas K. Maier, Vincent Christlein

Pattern Recognit., April, 2023

Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning.

Prathmesh Madhu, Angel Villar-Corrales, Ronak Kosti, Torsten Bendschus, Corinna Reinhardt, Peter Bell, Andreas K. Maier, Vincent Christlein

ACM Journal on Computing and Cultural Heritage, March, 2023

Concepts to Computational Constructs: Advanced Scene Understanding for Heterogeneous Artworks Using Deep Learning.

Prathmesh Madhu

PhD thesis, 2023

Transfer Learning for Olfactory Object Detection.

Mathias Zinnen, Prathmesh Madhu, Peter Bell, Andreas K. Maier, Vincent Christlein

CoRR, 2023

Classification of Luminal Subtypes in Full Mammogram Images Using Transfer Learning.

Adarsh Bhandary Panambur, Prathmesh Madhu, Andreas K. Maier

CoRR, 2023

SniffyArt: The Dataset of Smelling Persons.

Mathias Zinnen, Azhar Hussian, Hang Tran, Prathmesh Madhu, Andreas K. Maier, Vincent Christlein

Proceedings of the 5th Workshop on analySis, 2023

2022

An unobtrusive quality supervision approach for medical image annotation.

Sonja Kunzmann, Mathias Öttl, Prathmesh Madhu, Felix Denzinger, Andreas K. Maier

CoRR, 2022

ICC++: Explainable Image Retrieval for Art Historical Corpora using Image Composition Canvas.

Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Dirk Suckow, Peter Bell, Andreas K. Maier, Vincent Christlein

CoRR, 2022

ARIN: Adaptive Resampling and Instance Normalization for Robust Blind Inpainting of Dunhuang Cave Paintings.

Alexander Schmidt, Prathmesh Madhu, Andreas Maier, Vincent Christlein, Ronak Kosti

Proceedings of the Eleventh International Conference on Image Processing Theory, 2022

One-Shot Object Detection in Heterogeneous Artwork Datasets.

Prathmesh Madhu, Anna Meyer, Mathias Zinnen, Lara Mührenberg, Dirk Suckow, Torsten Bendschus, Corinna Reinhardt, Peter Bell, Ute Verstegen, Ronak Kosti, Andreas Maier, Vincent Christlein

Proceedings of the Eleventh International Conference on Image Processing Theory, 2022

ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition.

Mathias Zinnen, Prathmesh Madhu, Ronak Kosti, Peter Bell, Andreas K. Maier, Vincent Christlein

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Effect of Random Histogram Equalization on Breast Calcification Analysis Using Deep Learning.

Adarsh Bhandary Panambur, Prathmesh Madhu, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Abstract: Deep Learning-based Quantification of Pulmonary Hemosiderophages in Cytology Slides.

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

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Understanding Compositional Structures in Art Historical Images using Pose and Gaze Priors.

Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Peter Bell, Andreas K. Maier, Vincent Christlein

CoRR, 2020

Understanding Compositional Structures in Art Historical Images Using Pose and Gaze Priors - Towards Scene Understanding in Digital Art History.

Prathmesh Madhu, Tilman Marquart, Ronak Kosti, Peter Bell, Andreas K. Maier, Vincent Christlein

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Deep Learning based Attribute Representation in Ancient Vase Paintings.

Prathmesh Madhu, Ronak Kosti, Torsten Bendschus, Corinna Reinhardt, Vincent Christlein, Andreas K. Maier, Peter Bell

Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020

2019

Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides.

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

CoRR, 2019

Recognizing Characters in Art History Using Deep Learning.

Prathmesh Madhu, Ronak Kosti, Lara Mührenberg, Peter Bell, Andreas K. Maier, Vincent Christlein

Proceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents, 2019