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Yaron Meirovitch
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2020 – today
- 2023
- [c6]Minghao Chen, Mukesh Bangalore Renuka, Lu Mi, Jeff Lichtman, Nir Shavit, Yaron Meirovitch:
Learning to Correct Sloppy Annotations in Electron Microscopy Volumes. CVPR Workshops 2023: 4273-4284 - [c5]Yicong Li, Yaron Meirovitch, Aaron T. Kuan, Jasper S. Phelps, Alexandra Pacureanu, Wei-Chung Allen Lee, Nir Shavit, Lu Mi:
X-Ray2EM: Uncertainty-Aware Cross-Modality Image Reconstruction from X-Ray to Electron Microscopy in Connectomics. ISBI 2023: 1-5 - [i6]Yicong Li, Yaron Meirovitch, Aaron T. Kuan, Jasper S. Phelps, Alexandra Pacureanu, Wei-Chung Allen Lee, Nir Shavit, Lu Mi:
X-Ray2EM: Uncertainty-Aware Cross-Modality Image Reconstruction from X-Ray to Electron Microscopy in Connectomics. CoRR abs/2303.00882 (2023) - 2021
- [i5]Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit:
Learning Guided Electron Microscopy with Active Acquisition. CoRR abs/2101.02746 (2021) - 2020
- [c4]Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit:
Learning Guided Electron Microscopy with Active Acquisition. MICCAI (5) 2020: 77-87
2010 – 2019
- 2019
- [c3]Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Nir Shavit:
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics. CVPR 2019: 8425-8435 - 2018
- [i4]Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Casimir Wierzynski, Nir Shavit:
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics. CoRR abs/1812.01157 (2018) - 2017
- [c2]Alexander Matveev, Yaron Meirovitch, Hayk Saribekyan, Wiktor Jakubiuk, Tim Kaler, Gergely Ódor, David M. Budden, Aleksandar Zlateski, Nir Shavit:
A Multicore Path to Connectomics-on-Demand. PPoPP 2017: 267-281 - [i3]Shibani Santurkar, David M. Budden, Alexander Matveev, Heather Berlin, Hayk Saribekyan, Yaron Meirovitch, Nir Shavit:
Toward Streaming Synapse Detection with Compositional ConvNets. CoRR abs/1702.07386 (2017) - [i2]David Rolnick, Yaron Meirovitch, Toufiq Parag, Hanspeter Pfister, Viren Jain, Jeff W. Lichtman, Edward S. Boyden, Nir Shavit:
Morphological Error Detection in 3D Segmentations. CoRR abs/1705.10882 (2017) - 2016
- [j4]Yaron Meirovitch, Daniel Bennequin, Tamar Flash:
Geometrical Invariance and Smoothness Maximization for Task-Space Movement Generation. IEEE Trans. Robotics 32(4): 837-853 (2016) - [c1]Tamar Flash, Matan Karklinsky, Ronit Fuchs, Alain Berthoz, Daniel Bennequin, Yaron Meirovitch:
Motor Compositionality and Timing: Combined Geometrical and Optimization Approaches. Biomechanics of Anthropomorphic Systems 2016: 155-184 - [i1]Yaron Meirovitch, Alexander Matveev, Hayk Saribekyan, David M. Budden, David Rolnick, Gergely Ódor, Seymour Knowles-Barley, Thouis Raymond Jones, Hanspeter Pfister, Jeff William Lichtman, Nir Shavit:
A Multi-Pass Approach to Large-Scale Connectomics. CoRR abs/1612.02120 (2016) - 2015
- [j3]Andre Lemme, Yaron Meirovitch, Seyed Mohammad Khansari-Zadeh, Tamar Flash, Aude Billard, Jochen J. Steil:
Open-source benchmarking for learned reaching motion generation in robotics. Paladyn J. Behav. Robotics 6(1) (2015) - 2013
- [j2]Dominik Endres, Yaron Meirovitch, Tamar Flash, Martin A. Giese:
Segmenting sign language into motor primitives with Bayesian binning. Frontiers Comput. Neurosci. 7: 68 (2013) - [j1]Tamar Flash, Yaron Meirovitch, Avi Barliya:
Models of human movement: Trajectory planning and inverse kinematics studies. Robotics Auton. Syst. 61(4): 330-339 (2013)
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