Toufiq Parag - RankMe

38 papers A* 4A 4B 1Journal 21Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	VIRTUE: Versatile Video Retrieval Through Unified Embeddings. CoRR Shaunak Halbe, Bhagyashree Puranik, Jayakrishnan Unnikrishnan, Kushan Thakkar, Vimal Bhat, Toufiq Parag
2025	J	`jnl`	Modality Agnostic Efficient Long Range Encoder. CoRR Toufiq Parag, Ahmed Elgammal
2025	J	`jnl`	VIDEOP2R: Video Understanding from Perception to Reasoning. CoRR Yifan Jiang, Yueying Wang, Rui Zhao, Toufiq Parag, Zhimin Chen, Zhenyu Liao, Jayakrishnan Unnikrishnan
2022	—	`conf`	SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization. CVPR Workshops Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Singh, R. Venkatesh Babu
2022	J	`jnl`	SISL: Self-Supervised Image Signature Learning for Splicing Detection and Localization. CoRR Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Kumar Singh, R. Venkatesh Babu
2021	J	`jnl`	Class Incremental Online Streaming Learning. CoRR Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag, Maneesh Singh, Vinay P. Namboodiri
2021	A	`conf`	VideoSSL: Semi-Supervised Learning for Video Classification. WACV Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang
2020	J	`jnl`	Multilayer Dense Connections for Hierarchical Concept Classification. CoRR Toufiq Parag, Hongcheng Wang
2020	—	`conf`	Two Stream Active Query Suggestion for Active Learning in Connectomics. ECCV (18) 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
2020	J	`jnl`	VideoSSL: Semi-Supervised Learning for Video Classification. CoRR Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang
2019	A*	`conf`	Biologically-Constrained Graphs for Global Connectomics Reconstruction. CVPR Brian Matejek, Daniel Haehn, Haidong Zhu, Donglai Wei, Toufiq Parag, Hanspeter Pfister
2018	—	`conf`	Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets. ECCV Workshops (6) Toufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister
2018	J	`jnl`	Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets. CoRR Toufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister
2018	A	`conf`	Efficient Correction for EM Connectomics with Skeletal Representation. BMVC Konstantin Dimitriev, Toufiq Parag, Brian Matejek, Arie E. Kaufman, Hanspeter Pfister
2018	A	`conf`	Parallel Separable 3D Convolution for Video and Volumetric Data Understanding. BMVC Felix Gonda, Donglai Wei, Toufiq Parag, Hanspeter Pfister
2018	J	`jnl`	Parallel Separable 3D Convolution for Video and Volumetric Data Understanding. CoRR Felix Gonda, Donglai Wei, Toufiq Parag, Hanspeter Pfister
2017	J	`jnl`	Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration. CoRR Toufiq Parag, Fabian Tschopp, William Grisaitis, Srinivas C. Turaga, Xuewen Zhang, Brian Matejek, Lee Kamentsky, Jeff W. Lichtman, Hanspeter Pfister
2017	—	`conf`	ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures. ISBI Felix Gonda, Verena Kaynig, Thouis R. Jones, Daniel Haehn, Jeff W. Lichtman, Toufiq Parag, Hanspeter Pfister
2017	J	`jnl`	Morphological Error Detection in 3D Segmentations. CoRR David Rolnick, Yaron Meirovitch, Toufiq Parag, Hanspeter Pfister, Viren Jain, Jeff W. Lichtman, Edward S. Boyden, Nir Shavit
2017	J	`jnl`	Scalable Interactive Visualization for Connectomics. Informatics 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
2016	J	`jnl`	Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures. CoRR Felix Gonda, Verena Kaynig, Thouis Ray Jones, Daniel Haehn, Jeff Lichtman, Toufiq Parag, Hanspeter Pfister
2015	A*	`conf`	Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation. ICCV Toufiq Parag, Dan C. Ciresan, Alessandro Giusti
2015	J	`jnl`	What Properties are Desirable from an Electron Microscopy Segmentation Algorithm. CoRR Toufiq Parag
2014	J	`jnl`	A Context-aware Delayed Agglomeration Framework for EM Segmentation. CoRR Toufiq Parag, Anirban Chakraborty, Stephen Plaza
2014	J	`jnl`	Annotating Synapses in Large EM Datasets. CoRR Stephen M. Plaza, Toufiq Parag, Gary B. Huang, Donald J. Olbris, Mathew A. Saunders, Patricia K. Rivlin
2014	J	`jnl`	Enforcing Label and Intensity Consistency for IR Target Detection. CoRR Toufiq Parag
2014	J	`jnl`	Small Sample Learning of Superpixel Classifiers for EM Segmentation- Extended Version. CoRR Toufiq Parag, Stephen Plaza, Louis Scheffer
2014	—	`conf`	Small Sample Learning of Superpixel Classifiers for EM Segmentation. MICCAI (1) Toufiq Parag, Stephen M. Plaza, Louis Scheffer
2013	J	`jnl`	Machine learning of hierarchical clustering to segment n-dimensional images CoRR Juan Nunez-Iglesias, Ryan Kennedy, Toufiq Parag, Jianbo Shi, Dmitri B. Chklovskii
2013	J	`jnl`	Submodularity of a Set Label Disagreement Function. CoRR Toufiq Parag
2013	B	`conf`	Tracking multiple neurons on worm images. Image Processing Toufiq Parag, Victoria Butler, Dmitri B. Chklovskii
2012	—	`conf`	A grammar for hierarchical object descriptions in logic programs. CVPR Workshops Toufiq Parag, Claus Bahlmann, Vinay D. Shet, Maneesh Singh
2011	—	`conf`	Higher Order Markov Networks for Model Estimation. ISVC (1) Toufiq Parag, Ahmed M. Elgammal
2011	J	`jnl`	Learning Hypergraph Labeling for Feature Matching CoRR Toufiq Parag, Vladimir Pavlovic, Ahmed M. Elgammal
2011	A*	`conf`	Supervised hypergraph labeling. CVPR Toufiq Parag, Ahmed M. Elgammal
2008	A*	`conf`	Boosting adaptive linear weak classifiers for online learning and tracking. CVPR Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal
2006	—	`conf`	A Framework for Feature Selection for Background Subtraction. CVPR (2) Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
2006	A	`conf`	Unsupervised Learning of Boosted Tree Classifier Using Graph Cuts for Hand Pose Recognition. BMVC Toufiq Parag, Ahmed M. Elgammal