Toufiq Parag

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 18

Top Topics

Error Detection

Query Suggestion

Segmentation Algorithm

Top Venues

Publications

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)
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 (2022)
Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang
VideoSSL: Semi-Supervised Learning for Video Classification. WACV (2021)
Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag, Maneesh Singh, Vinay P. Namboodiri
Class Incremental Online Streaming Learning. CoRR (2021)
Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang
VideoSSL: Semi-Supervised Learning for Video Classification. CoRR (2020)
Toufiq Parag, Hongcheng Wang
Multilayer Dense Connections for Hierarchical Concept Classification. CoRR (2020)
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)
Brian Matejek, Daniel Haehn, Haidong Zhu, Donglai Wei, Toufiq Parag, Hanspeter Pfister
Biologically-Constrained Graphs for Global Connectomics Reconstruction. CVPR (2019)
Felix Gonda, Donglai Wei, Toufiq Parag, Hanspeter Pfister
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding. BMVC (2018)
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)
Konstantin Dimitriev, Toufiq Parag, Brian Matejek, Arie E. Kaufman, Hanspeter Pfister
Efficient Correction for EM Connectomics with Skeletal Representation. BMVC (2018)
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 (2018)
Felix Gonda, Donglai Wei, Toufiq Parag, Hanspeter Pfister
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding. CoRR (2018)
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)
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 (2017)
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) (2017)
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 (2017)
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 (2016)
Toufiq Parag, Dan C. Ciresan, Alessandro Giusti
Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation. ICCV (2015)
Toufiq Parag
What Properties are Desirable from an Electron Microscopy Segmentation Algorithm. CoRR (2015)
Toufiq Parag, Stephen Plaza, Louis Scheffer
Small Sample Learning of Superpixel Classifiers for EM Segmentation- Extended Version. CoRR (2014)
Toufiq Parag
Enforcing Label and Intensity Consistency for IR Target Detection. CoRR (2014)
Stephen M. Plaza, Toufiq Parag, Gary B. Huang, Donald J. Olbris, Mathew A. Saunders, Patricia K. Rivlin
Annotating Synapses in Large EM Datasets. CoRR (2014)
Toufiq Parag, Stephen M. Plaza, Louis Scheffer
Small Sample Learning of Superpixel Classifiers for EM Segmentation. MICCAI (1) (2014)
Toufiq Parag, Anirban Chakraborty, Stephen Plaza
A Context-aware Delayed Agglomeration Framework for EM Segmentation. CoRR (2014)
Juan Nunez-Iglesias, Ryan Kennedy, Toufiq Parag, Jianbo Shi, Dmitri B. Chklovskii
Machine learning of hierarchical clustering to segment n-dimensional images CoRR (2013)
Toufiq Parag
Submodularity of a Set Label Disagreement Function. CoRR (2013)
Toufiq Parag, Victoria Butler, Dmitri B. Chklovskii
Tracking multiple neurons on worm images. Medical Imaging: Image Processing (2013)
Toufiq Parag, Claus Bahlmann, Vinay D. Shet, Maneesh Singh
A grammar for hierarchical object descriptions in logic programs. CVPR Workshops (2012)
Toufiq Parag, Ahmed M. Elgammal
Higher Order Markov Networks for Model Estimation. ISVC (1) (2011)
Toufiq Parag, Ahmed M. Elgammal
Supervised hypergraph labeling. CVPR (2011)
Toufiq Parag, Vladimir Pavlovic, Ahmed M. Elgammal
Learning Hypergraph Labeling for Feature Matching CoRR (2011)
Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal
Boosting adaptive linear weak classifiers for online learning and tracking. CVPR (2008)
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
A Framework for Feature Selection for Background Subtraction. CVPR (2) (2006)
Toufiq Parag, Ahmed M. Elgammal
Unsupervised Learning of Boosted Tree Classifier Using Graph Cuts for Hand Pose Recognition. BMVC (2006)