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ORCIDToufiq Parag
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2020 – today
- 2022
[c17]Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Singh, R. Venkatesh Babu:
SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization. CVPR Workshops 2022: 22-32- [i17]Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Kumar Singh, R. Venkatesh Babu:
SISL: Self-Supervised Image Signature Learning for Splicing Detection and Localization. CoRR abs/2203.07824 (2022) - 2021
- [c16]Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang:
VideoSSL: Semi-Supervised Learning for Video Classification. WACV 2021: 1109-1118 - [i16]Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag, Maneesh Singh, Vinay P. Namboodiri:
Class Incremental Online Streaming Learning. CoRR abs/2110.10741 (2021) - 2020
- [c15]Zudi Lin
, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel R. Berger, Brian Matejek, Lee Kamentsky, Adi Suissa-Peleg, Daniel Haehn, Thouis R. Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister:
Two Stream Active Query Suggestion for Active Learning in Connectomics. ECCV (18) 2020: 103-120 - [i15]Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang:
VideoSSL: Semi-Supervised Learning for Video Classification. CoRR abs/2003.00197 (2020) - [i14]Toufiq Parag, Hongcheng Wang:
Multilayer Dense Connections for Hierarchical Concept Classification. CoRR abs/2003.09015 (2020)
2010 – 2019
- 2019
- [c14]Brian Matejek, Daniel Haehn, Haidong Zhu, Donglai Wei, Toufiq Parag, Hanspeter Pfister:
Biologically-Constrained Graphs for Global Connectomics Reconstruction. CVPR 2019: 2089-2098 - 2018
- [c13]Felix Gonda, Donglai Wei, Toufiq Parag, Hanspeter Pfister:
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding. BMVC 2018: 42 - [c12]Konstantin Dimitriev, Toufiq Parag, Brian Matejek, Arie E. Kaufman, Hanspeter Pfister:
Efficient Correction for EM Connectomics with Skeletal Representation. BMVC 2018: 47 - [c11]Toufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister:
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets. ECCV Workshops (6) 2018: 354-364 - [i13]Toufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister:
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets. CoRR abs/1807.02739 (2018) - [i12]Felix Gonda, Donglai Wei, Toufiq Parag, Hanspeter Pfister:
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding. CoRR abs/1809.04096 (2018) - 2017
- [j1]Daniel Haehn, John Hoffer, Brian Matejek, Adi Suissa-Peleg, Ali K. Al-Awami, Lee Kamentsky, Felix Gonda, Eagon Meng, William Zhang, Richard Schalek, Alyssa Wilson, Toufiq Parag, Johanna Beyer, Verena Kaynig, Thouis R. Jones, James Tompkin, Markus Hadwiger, Jeff W. Lichtman, Hanspeter Pfister:
Scalable Interactive Visualization for Connectomics. Informatics 4(3): 29 (2017) - [c10]Felix Gonda, Verena Kaynig, Thouis R. Jones, Daniel Haehn, Jeff W. Lichtman, Toufiq Parag, Hanspeter Pfister:
ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures. ISBI 2017: 327-331 - [i11]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) - [i10]Toufiq Parag, Fabian Tschopp, William Grisaitis, Srinivas C. Turaga, Xuewen Zhang, Brian Matejek, Lee Kamentsky, Jeff W. Lichtman, Hanspeter Pfister:
Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration. CoRR abs/1707.08935 (2017) - 2016
- [i9]Felix Gonda, Verena Kaynig, Thouis Ray Jones, Daniel Haehn, Jeff Lichtman, Toufiq Parag, Hanspeter Pfister:
Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures. CoRR abs/1610.09032 (2016) - 2015
- [c9]Toufiq Parag, Dan C. Ciresan, Alessandro Giusti:
Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation. ICCV 2015: 657-665 - [i8]Toufiq Parag:
What Properties are Desirable from an Electron Microscopy Segmentation Algorithm. CoRR abs/1503.05430 (2015) - 2014
- [c8]Toufiq Parag, Stephen M. Plaza, Louis Scheffer:
Small Sample Learning of Superpixel Classifiers for EM Segmentation. MICCAI (1) 2014: 389-397 - [i7]Toufiq Parag, Anirban Chakraborty, Stephen Plaza:
A Context-aware Delayed Agglomeration Framework for EM Segmentation. CoRR abs/1406.1476 (2014) - [i6]Toufiq Parag, Stephen Plaza, Louis Scheffer:
Small Sample Learning of Superpixel Classifiers for EM Segmentation- Extended Version. CoRR abs/1406.1774 (2014) - [i5]Stephen M. Plaza, Toufiq Parag, Gary B. Huang, Donald J. Olbris, Mathew A. Saunders, Patricia K. Rivlin:
Annotating Synapses in Large EM Datasets. CoRR abs/1409.1801 (2014) - [i4]Toufiq Parag:
Enforcing Label and Intensity Consistency for IR Target Detection. CoRR abs/1409.2800 (2014) - 2013
- [c7]Toufiq Parag, Victoria Butler, Dmitri B. Chklovskii:
Tracking multiple neurons on worm images. Medical Imaging: Image Processing 2013: 86692P - [i3]Juan Nunez-Iglesias, Ryan Kennedy, Toufiq Parag, Jianbo Shi, Dmitri B. Chklovskii:
Machine learning of hierarchical clustering to segment n-dimensional images. CoRR abs/1303.6163 (2013) - [i2]Toufiq Parag:
Submodularity of a Set Label Disagreement Function. CoRR abs/1307.1303 (2013) - 2012
- [c6]Toufiq Parag, Claus Bahlmann, Vinay D. Shet, Maneesh Singh:
A grammar for hierarchical object descriptions in logic programs. CVPR Workshops 2012: 33-38 - 2011
- [c5]Toufiq Parag, Ahmed M. Elgammal:
Supervised hypergraph labeling. CVPR 2011: 2289-2296 - [c4]Toufiq Parag, Ahmed M. Elgammal:
Higher Order Markov Networks for Model Estimation. ISVC (1) 2011: 246-258 - [i1]Toufiq Parag, Vladimir Pavlovic, Ahmed M. Elgammal:
Learning Hypergraph Labeling for Feature Matching. CoRR abs/1107.2553 (2011)
2000 – 2009
- 2008
- [c3]Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal:
Boosting adaptive linear weak classifiers for online learning and tracking. CVPR 2008 - 2006
- [c2]Toufiq Parag, Ahmed M. Elgammal:
Unsupervised Learning of Boosted Tree Classifier Using Graph Cuts for Hand Pose Recognition. BMVC 2006: 1259-1268 - [c1]Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal:
A Framework for Feature Selection for Background Subtraction. CVPR (2) 2006: 1916-1923
Coauthor Index
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