Toufiq Parag

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Hanspeter PfisterAn Wang Professor of Computer Science, Harvard UniversityVerified email at seas.harvard.edu
Ahmed ElgammalRutgers UniversityVerified email at cs.rutgers.edu
Stephen M PlazaProject and Software Engineering Manager, Janelia Farm Research CampusVerified email at janelia.hhmi.org
Lou SchefferCadence, Berkeley, HHMIVerified email at janelia.hhmi.org
Brian MatejekSRI InternationalVerified email at sri.com
Daniel HaehnUniversity of Massachusetts BostonVerified email at cs.umb.edu
Maneesh SinghDistinguished Research Scientist, Applied AI & Discovery, ComcastVerified email at ieee.org
Dmitri "Mitya" B. ChklovskiiCCN, Flatiron Institute, Simons Foundation and NYUVerified email at flatironinstitute.org
Gary B. HuangJanelia Farm Research Campus, HHMI; University of Massachusetts, AmherstVerified email at cs.umass.edu
Thouis (Ray) JonesBroad InstituteVerified email at broadinstitute.org
Fatih PorikliQualcomm, Australian National UniversityVerified email at anu.edu.au
Vinay ShetDirector Product Management, LyftVerified email at lyft.com
Claus BahlmannUniversity of Freiburg, Siemens Corporate Research, Siemens AG, Siemens MobilityVerified email at siemens.com
Ryan KennedySkydioVerified email at skydio.com
Jianbo ShiUniversity of PennsylvaniaVerified email at seas.upenn.edu
Juan Nunez-IglesiasSenior Research Fellow, Biomedicine Discovery Institute, Monash UniversityVerified email at monash.edu
Anurag MittalProfessor of Computer Science and Engg., IIT Madras, INDIAVerified email at cse.iitm.ac.in
C. Shan XuHarvey and Kate Cushing Professor of Physiology, Yale UniversityVerified email at yale.edu
Kazunori ShinomiyaFlatiron InstituteVerified email at flatironinstitute.org
Anirban ChakrabortyIndian Institute of Science, BangaloreVerified email at iisc.ac.in

Toufiq Parag

Harvard University

Verified email at g.harvard.edu - Homepage

Computer Vision Machine Learning


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A connectome of a learning and memory center in the adult Drosophila brain S Takemura, Y Aso, T Hige, A Wong, Z Lu, CS Xu, PK Rivlin, H Hess, ... Elife 6, e26975, 2017	335	2017
Synaptic circuits and their variations within different columns in the visual system of Drosophila S Takemura, CS Xu, Z Lu, PK Rivlin, T Parag, DJ Olbris, S Plaza, T Zhao, ... Proceedings of the National Academy of Sciences 112 (44), 13711-13716, 2015	240	2015
Machine learning of hierarchical clustering to segment 2D and 3D images J Nunez-Iglesias, R Kennedy, T Parag, J Shi, DB Chklovskii PloS one 8 (8), e71715, 2013	155	2013
A framework for feature selection for background subtraction T Parag, A Elgammal, A Mittal Computer Vision and Pattern Recognition 2006. CVPR 2006 IEEE Conference on …, 2006	117	2006
Comparisons between the ON- and OFF-edge motion pathways in the Drosophila brain K Shinomiya, G Huang, Z Lu, T Parag, CS Xu, R Aniceto, N Ansari, ... Elife 8, e40025, 2019	116	2019
Boosting adaptive linear weak classifiers for online learning and tracking T Parag, F Porikli, A Elgammal 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	77	2008
Predicate logic based image grammars for complex visual pattern recognition VD Shet, MK Singh, C Bahlmann, V Ramesh, SP Masticola, J Neumann, ... US Patent 8,548,231, 2013	71	2013
Videossl: Semi-supervised learning for video classification L Jing, T Parag, Z Wu, Y Tian, H Wang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021	52	2021
A Context-Aware Delayed Agglomeration Framework for Electron Microscopy Segmentation T Parag, A Chakraborty, S Plaza, L Scheffer PLoS ONE 10 (5), e0125825, 2015	40	2015
A Context-aware Delayed Agglomeration Framework for Electron Microscopy Segmentation T Parag, A Chakraborty, S Plaza, L Scheffer arXiv preprint arXiv:1406.1476, 2014	40	2014
Scalable interactive visualization for connectomics D Haehn, J Hoffer, B Matejek, A Suissa-Peleg, AK Al-Awami, L Kamentsky, ... Informatics 4 (3), 29, 2017	27	2017
Morphological error detection in 3d segmentations D Rolnick, Y Meirovitch, T Parag, H Pfister, V Jain, JW Lichtman, ... arXiv preprint arXiv:1705.10882, 2017	25	2017
Annotating synapses in large EM datasets SM Plaza, T Parag, GB Huang, DJ Olbris, MA Saunders, PK Rivlin arXiv preprint arXiv:1409.1801, 2014	24	2014
Biologically-constrained graphs for global connectomics reconstruction B Matejek, D Haehn, H Zhu, D Wei, T Parag, H Pfister Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	23	2019
Small sample learning of superpixel classifiers for EM segmentation T Parag, S Plaza, L Scheffer Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014	21	2014
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding F Gonda, D Wei, T Parag, H Pfister British Machine Vision Conference (BMVC), 2018, 2018	20	2018
Method for adaptively boosting classifiers for object tracking FM Porikli, T Parag US Patent 7,840,061, 2010	19	2010
Efficient classifier training to minimize false merges in electron microscopy segmentation T Parag, DC Ciresan, A Giusti Proceedings of the IEEE International Conference on Computer Vision, 657-665, 2015	17	2015
Coupled label and intensity MRF models for IR target detection T Parag CVPR 2011 WORKSHOPS, 7-13, 2011	16	2011
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets T Parag, D Berger, L Kamentsky, B Staffler, D Wei, M Helmstaedter, ... arXiv preprint arXiv:1807.02739, 2018	15	2018

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