Unsupervised Learning of Boosted Tree Classifier Using Graph Cuts for Hand Pose Recognition. - Toufiq Parag; Ahmed M. Elgammal (BMVC, 2006)

A Framework for Feature Selection for Background Subtraction. - Toufiq Parag; Ahmed M. Elgammal; Anurag Mittal (CVPR (2), 2006)

Boosting adaptive linear weak classifiers for online learning and tracking. - Toufiq Parag; Fatih Porikli; Ahmed M. Elgammal (CVPR, 2008)

Supervised hypergraph labeling. - Toufiq Parag; Ahmed M. Elgammal (CVPR, 2011)

Higher Order Markov Networks for Model Estimation. - Toufiq Parag; Ahmed M. Elgammal (ISVC (1), 2011)

Learning Hypergraph Labeling for Feature Matching - Toufiq Parag; Vladimir Pavlovic 001; Ahmed M. Elgammal (CoRR, 2011)

A grammar for hierarchical object descriptions in logic programs. - Toufiq Parag; Claus Bahlmann; Vinay D. Shet; Maneesh Singh 001 (CVPR Workshops, 2012)

Tracking multiple neurons on worm images. - Toufiq Parag; Victoria Butler; Dmitri B. Chklovskii (Image Processing, 2013)

Submodularity of a Set Label Disagreement Function. - Toufiq Parag (CoRR, 2013)

Machine learning of hierarchical clustering to segment n-dimensional images - Juan Nunez-Iglesias; Ryan Kennedy; Toufiq Parag; Jianbo Shi; Dmitri B. Chklovskii (CoRR, 2013)

Small Sample Learning of Superpixel Classifiers for EM Segmentation. - Toufiq Parag; Stephen M. Plaza; Louis Scheffer (MICCAI (1), 2014)

Enforcing Label and Intensity Consistency for IR Target Detection. - Toufiq Parag (CoRR, 2014)

A Context-aware Delayed Agglomeration Framework for EM Segmentation. - Toufiq Parag; Anirban Chakraborty 001; Stephen Plaza (CoRR, 2014)

Small Sample Learning of Superpixel Classifiers for EM Segmentation- Extended Version. - Toufiq Parag; Stephen Plaza; Louis Scheffer (CoRR, 2014)

Annotating Synapses in Large EM Datasets. - Stephen M. Plaza; Toufiq Parag; Gary B. Huang; Donald J. Olbris; Mathew A. Saunders; Patricia K. Rivlin (CoRR, 2014)

Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation. - Toufiq Parag; Dan C. Ciresan; Alessandro Giusti (ICCV, 2015)

What Properties are Desirable from an Electron Microscopy Segmentation Algorithm. - Toufiq Parag (CoRR, 2015)

ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures. - Felix Gonda; Verena Kaynig; Thouis R. Jones; Daniel Haehn; Jeff W. Lichtman; Toufiq Parag; Hanspeter Pfister (ISBI, 2017)

Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration. - Toufiq Parag; Fabian Tschopp; William Grisaitis; Srinivas C. Turaga; Xuewen Zhang; Brian Matejek; Lee Kamentsky; Jeff W. Lichtman; Hanspeter Pfister (CoRR, 2017)

Morphological Error Detection in 3D Segmentations. - David Rolnick; Yaron Meirovitch; Toufiq Parag; Hanspeter Pfister; Viren Jain; Jeff W. Lichtman; Edward S. Boyden; Nir Shavit (CoRR, 2017)

Scalable Interactive Visualization for Connectomics. - 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; et al. (Informatics, 2017)

Efficient Correction for EM Connectomics with Skeletal Representation. - Konstantin Dimitriev; Toufiq Parag; Brian Matejek; Arie E. Kaufman; Hanspeter Pfister (BMVC, 2018)

Parallel Separable 3D Convolution for Video and Volumetric Data Understanding. - Felix Gonda; Donglai Wei 001; Toufiq Parag; Hanspeter Pfister (BMVC, 2018)

Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets. - Toufiq Parag; Daniel R. Berger; Lee Kamentsky; Benedikt Staffler; Donglai Wei 001; Moritz Helmstaedter; Jeff W. Lichtman; Hanspeter Pfister (ECCV Workshops (6), 2018)

Biologically-Constrained Graphs for Global Connectomics Reconstruction. - Brian Matejek; Daniel Haehn; Haidong Zhu; Donglai Wei 001; Toufiq Parag; Hanspeter Pfister (CVPR, 2019)

Two Stream Active Query Suggestion for Active Learning in Connectomics. - Zudi Lin; Donglai Wei 001; Won-Dong Jang; Siyan Zhou; Xupeng Chen; Xueying Wang 002; Richard Schalek; Daniel R. Berger; Brian Matejek; Lee Kamentsky; Adi Suissa-Peleg; Daniel Haehn; et al. (ECCV (18), 2020)

Multilayer Dense Connections for Hierarchical Concept Classification. - Toufiq Parag; Hongcheng Wang (CoRR, 2020)

VideoSSL: Semi-Supervised Learning for Video Classification. - Longlong Jing; Toufiq Parag; Zhe Wu; Yingli Tian; Hongcheng Wang (WACV, 2021)

Class Incremental Online Streaming Learning. - Soumya Banerjee; Vinay Kumar Verma; Toufiq Parag; Maneesh Singh 001; Vinay P. Namboodiri (CoRR, 2021)

SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization. - Susmit Agrawal; Prabhat Kumar; Siddharth Seth; Toufiq Parag; Maneesh Singh 001; R. Venkatesh Babu (CVPR Workshops, 2022)

SISL: Self-Supervised Image Signature Learning for Splicing Detection and Localization. - Susmit Agrawal; Prabhat Kumar; Siddharth Seth; Toufiq Parag; Maneesh Kumar Singh 001; R. Venkatesh Babu (CoRR, 2022)

Modality Agnostic Efficient Long Range Encoder. - Toufiq Parag; Ahmed Elgammal (CoRR, 2025)