AmirAbbas Davari

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 26

Top Topics

Image Classification

Correlation Coefficient

Top Venues

IEEE Geosci. Remote. Sens. Lett.

IEEE Trans. Geosci. Remote. Sens.

Publications

Mohammad Joshaghani, AmirAbbas Davari, Faezeh Nejati Hatamian, Andreas K. Maier, Christian Riess
Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
AmirAbbas Davari, Christoph Baller, Thorsten Seehaus, Matthias H. Braun, Andreas K. Maier, Vincent Christlein
Pixelwise Distance Regression for Glacier Calving Front Detection and Segmentation. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
AmirAbbas Davari, Saahil Islam, Thorsten Seehaus, Andreas Hartmann, Matthias H. Braun, Andreas K. Maier, Vincent Christlein
On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR Imagery. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Maniraman Periyasamy, AmirAbbas Davari, Thorsten Seehaus, Matthias Braun, Andreas Maier, Vincent Christlein
How to Get the Most Out of U-Net for Glacier Calving Front Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Mohammad Joshaghani, AmirAbbas Davari, Faezeh Nejati Hatamian, Andreas K. Maier, Christian Riess
Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification. CoRR (2022)
Andreas Hartmann, AmirAbbas Davari, Thorsten Seehaus, Matthias H. Braun, Andreas K. Maier, Vincent Christlein
Bayesian U-Net for Segmenting Glaciers in Sar Imagery. IGARSS (2021)
AmirAbbas Davari, Saahil Islam, Thorsten Seehaus, Matthias H. Braun, Andreas Maier, Vincent Christlein
On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR Imagery. CoRR (2021)
Rosanna Dietrich-Sussner, AmirAbbas Davari, Thorsten Seehaus, Matthias H. Braun, Vincent Christlein, Andreas K. Maier, Christian Riess
Synthetic Glacier SAR Image Generation from Arbitrary Masks Using Pix2Pix Algorithm. IGARSS (2021)
Michael Holzmann, AmirAbbas Davari, Thorsten Seehaus, Matthias H. Braun, Andreas Maier, Vincent Christlein
Glacier Calving Front Segmentation Using Attention U-Net. CoRR (2021)
Rosanna Dietrich-Sussner, AmirAbbas Davari, Thorsten Seehaus, Matthias Braun, Vincent Christlein, Andreas Maier, Christian Riess
Synthetic Glacier SAR Image Generation from Arbitrary Masks Using Pix2Pix Algorithm. CoRR (2021)
Michael Holzmann, AmirAbbas Davari, Thorsten Seehaus, Matthias H. Braun, Andreas K. Maier, Vincent Christlein
Glacier Calving Front Segmentation Using Attention U-Net. IGARSS (2021)
AmirAbbas Davari, Christoph Baller, Thorsten Seehaus, Matthias H. Braun, Andreas Maier, Vincent Christlein
Pixel-wise Distance Regression for Glacier Calving Front Detection and Segmentation. CoRR (2021)
Andreas Hartmann, AmirAbbas Davari, Thorsten Seehaus, Matthias Braun, Andreas Maier, Vincent Christlein
Bayesian U-Net for Segmenting Glaciers in SAR Imagery. CoRR (2021)
Faezeh Nejati Hatamian, AmirAbbas Davari, Andreas Maier
The Effect of Various Strengths of Noises and Data Augmentations on Classification of Short Single-Lead ECG Signals Using Deep Neural Networks. CoRR (2020)
AmirAbbas Davari, Hasan Can Ozkan, Andreas K. Maier, Christian Riess
Fast and Efficient Limited Data Hyperspectral Remote Sensing Image Classification via GMM-Based Synthetic Samples. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (7) (2019)
AmirAbbas Davari, Nikolaos Sakaltras, Armin Häberle, Sulaiman Vesal, Vincent Christlein, Andreas K. Maier, Christian Riess
Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings. ICIP (2018)
AmirAbbas Davari, Nikolaos Sakaltras, Armin Häberle, Sulaiman Vesal, Vincent Christlein, Andreas K. Maier, Christian Riess
Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings. CoRR (2018)
Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas K. Maier
Classification of breast cancer histology images using transfer learning. CoRR (2018)
AmirAbbas Davari, Erchan Aptoula, Berrin A. Yanikoglu, Andreas K. Maier, Christian Riess
GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data. IEEE Geosci. Remote. Sens. Lett. 15 (6) (2018)
Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas K. Maier
Classification of Breast Cancer Histology Images Using Transfer Learning. ICIAR (2018)
AmirAbbas Davari, Hasan Can Ozkan, Andreas K. Maier, Christian Riess
Fast Sample Generation with Variational Bayesian for Limited Data Hyperspectral Image Classification. IGARSS (2018)
AmirAbbas Davari, Erchan Aptoula, Berrin A. Yanikoglu, Andreas K. Maier, Christian Riess
GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data. CoRR (2017)
AmirAbbas Davari, Vincent Christlein, Sulaiman Vesal, Andreas K. Maier, Christian Riess
GMM Supervectors for Limited Training Data in Hyperspectral Remote Sensing Image Classification. CAIP (2) (2017)
AmirAbbas Davari, Armin Häberle, Vincent Christlein, Andreas K. Maier, Christian Riess
Sketch Layer Separation in Multi-Spectral Historical Document Images. CoRR (2017)
Sulaiman Vesal, Andres Diaz-Pinto, Nishant Ravikumar, Stephan Ellmann, AmirAbbas Davari, Andreas K. Maier
Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation. CoRR (2017)
AmirAbbas Davari, Tobias Lindenberger, Armin Häberle, Vincent Christlein, Andreas K. Maier, Christian Riess
Image Registration for the Alignment of Digitized Historical Documents. CoRR (2017)