Mihir Sahasrabudhe

18 papers C 1Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Marginals Before Conditionals. CoRR Mihir Sahasrabudhe
2025	J	`jnl`	Directional Optimization Asymmetry in Transformers: A Synthetic Stress Test. CoRR Mihir Sahasrabudhe
2025	J	`jnl`	Reversal Invariance in Autoregressive Language Models. CoRR Mihir Sahasrabudhe
2021	J	`jnl`	Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis. IEEE J. Biomed. Health Informatics Mihir Sahasrabudhe, Pierre Sujobert, Evangelia I. Zacharaki, Eugénie Maurin, Béatrice Grange, Laurent Jallades, Nikos Paragios, Maria Vakalopoulou
2020	J	`jnl`	Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. Frontiers Comput. Neurosci. Théo Estienne, Marvin Lerousseau, Maria Vakalopoulou, Emilie Alvarez Andres, Enzo Battistella, Alexandre Carré, Siddhartha Chandra, Stergios Christodoulidis, Mihir Sahasrabudhe, Roger Sun, Charlotte Robert, Hugues Talbot, Nikos Paragios, Eric Deutsch
2020	J	`jnl`	Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention. CoRR Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou
2020	—	`conf`	Self-supervised Nuclei Segmentation in Histopathological Images Using Attention. MICCAI (5) Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou
2020	—	`—`	Unsupervised and weakly supervised deep learning methods for computer vision and medical imaging. (Méthodes non-supervisées et faiblement supervisées d'apprentissage profond pour la vision par ordinateur et l'imagerie médicale). Mihir Sahasrabudhe
2019	C	`conf`	Image Registration of Satellite Imagery with Deep Convolutional Neural Networks. IGARSS Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Stavroula G. Mougiakakou, Nikos Paragios
2019	—	`conf`	Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion. ICCV Workshops Mihir Sahasrabudhe, Zhixin Shu, Edward Bartrum, Riza Alp Güler, Dimitris Samaras, Iasonas Kokkinos
2019	J	`jnl`	Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion. CoRR Mihir Sahasrabudhe, Zhixin Shu, Edward Bartrum, Riza Alp Güler, Dimitris Samaras, Iasonas Kokkinos
2019	J	`jnl`	Proof of Correctness and Time Complexity Analysis of a Maximum Distance Transform Algorithm. CoRR Mihir Sahasrabudhe, Siddhartha Chandra
2018	—	`conf`	Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. ECCV (10) Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos
2018	J	`jnl`	Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. CoRR Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos
2018	—	`conf`	Linear and Deformable Image Registration with 3D Convolutional Neural Networks. RAMBO+BIA+TIA@MICCAI Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios
2018	J	`jnl`	Linear and Deformable Image Registration with 3D Convolutional Neural Networks. CoRR Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios
2014	—	`conf`	Fingerprint Enhancement Using Unsupervised Hierarchical Feature Learning. ICVGIP Mihir Sahasrabudhe, Anoop M. Namboodiri
2013	—	`conf`	Learning Fingerprint Orientation Fields Using Continuous Restricted Boltzmann Machines. ACPR Mihir Sahasrabudhe, Anoop M. Namboodiri