Mihir Sahasrabudhe
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I am a post-doctoral researcher at Laboratoire Mathématiques et Informatique pour la Complexité et les Systèmes (MICS) , CentraleSupélec, France, working with Dr. Maria Vakalopoulou. I completed my Ph.D. at Centre de Vision Numérique under the direction of Prof. Nikos Paragios.

Articles

2020 Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention, Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice Andre, Nikos Paragios, Maria Vakalopoulou
MICCAI 2020, to appear
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2020 Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation, Théo Estienne, Marvin Lerousseau, ...Mihir Sahasrabudhe, et al.
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2019 Proof of Correctness and Time Complexity Analysis of a Maximum Distance Transform Algorithm, Mihir Sahasrabudhe, Siddhartha Chandra;  
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2019 Lifting Autoencoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion, Mihir Sahasrabudhe*, Zhixin Shu*, Edward Bartrum, Rıza Alp Güler, Dimitris Samaras, Iasonas Kokkinos;   4th Geometry Meets Deep Learning Workshop, International Conference on Computer Vision (ICCV) 2019
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2019 Image Registration of Satellite Imagery with Deep Convolutional Neural Networks, Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Stavroula Mougiakakou, Nikos Paragios;   International Geoscience and Remote Sensing Symposium (IGARSS) 2019
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2018 Linear and Deformable Image Registration with 3D Convolutional Neural Networks, Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula Mougiakakou, Nikos Paragios;   Reconstruction and Analysis of Moving Body Organs, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018
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2018 Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance, Zhixin Shu, Mihir Sahasrabudhe, Rıza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos;   European Conference on Computer Vision (ECCV) 2018
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2015 Masters Thesis. Fingerprint Image Enhancement Using Unsupervised Hierarchical Feature Learning
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2014 Fingerprint Enhancement Using Unsupervised Hierarchical Feature Learning, Mihir Sahasrabudhe, Anoop M. Namboodiri;   Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP) 2014
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2013 Learning Fingerprint Orientation Fields Using Continuous Restricted Boltzmann Machines, Mihir Sahasrabudhe, Anoop M. Namboodiri;   Asian Conference on Pattern Recognition (ACPR) 2013
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Projects

Deforming Autoencoders
Lifting Autoencoders
Self-supervised nuclei segmentation

Teaching

Autumn 2018: Programming and Languages (M.Sc. DSBA)    
Autumn 2020: Programming and Languages (M.Sc. DSBA)