Toufiq Parag
Toufiq Parag
Verified email at g.harvard.edu - Homepage
TitleCited byYear
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
1032017
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
982013
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
952015
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
852006
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
662008
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
542013
A Context-Aware Delayed Agglomeration Framework for Electron Microscopy Segmentation
T Parag, A Chakraborty, S Plaza, L Scheffer
PLoS ONE 10 (5), e0125825, 2015
302015
A Context-aware Delayed Agglomeration Framework for Electron Microscopy Segmentation
T Parag, A Chakraborty, S Plaza, L Scheffer
arXiv preprint arXiv:1406.1476, 2014
302014
Small sample learning of superpixel classifiers for EM segmentation
T Parag, S Plaza, L Scheffer
International Conference on Medical Image Computing and Computer-Assisted …, 2014
182014
Method for adaptively boosting classifiers for object tracking
FM Porikli, T Parag
US Patent 7,840,061, 2010
182010
Annotating synapses in large EM datasets
SM Plaza, T Parag, GB Huang, DJ Olbris, MA Saunders, PK Rivlin
arXiv preprint arXiv:1409.1801, 2014
162014
Coupled label and intensity MRF models for IR target detection
T Parag
CVPR 2011 WORKSHOPS, 7-13, 2011
132011
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
112015
Morphological error detection in 3d segmentations
D Rolnick, Y Meirovitch, T Parag, H Pfister, V Jain, JW Lichtman, ...
arXiv preprint arXiv:1705.10882, 2017
92017
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
72019
Scalable interactive visualization for connectomics
D Haehn, J Hoffer, B Matejek, A Suissa-Peleg, A Al-Awami, L Kamentsky, ...
Informatics 4 (3), 29, 2017
72017
Anisotropic EM segmentation by 3D affinity learning and agglomeration
T Parag, F Tschopp, W Grisaitis, SC Turaga, X Zhang, B Matejek, ...
arXiv preprint arXiv:1707.08935, 2017
72017
Multi-column synaptic circuits and an analysis of their variations in the visual system of Drosophila
S Takemura, CS Xu, Z Lu, PK Rivlin, DJ Olbris, T Parag, S Plaza, T Zhao, ...
Proceedings of the National Academy of Sciences of the United States of …, 2015
62015
Unsupervised Learning of Boosted Tree Classifier Using Graph Cuts for Hand Pose Recognition.
T Parag, AM Elgammal
BMVC, 1259-1268, 2006
62006
Efficient Correction for EM Connectomics with Skeletal Representation
K Dmitriev, T Parag, B Matejek, AE Kaufman, H Pfister
British Machine Vision Conference (BMVC), 2018, 2018
52018
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Articles 1–20