Toufiq Parag | DeepAI

DeepAI AI Chat

Featured Co-authors

Hanspeter Pfister
81 publications
Vinay P. Namboodiri
64 publications
Vladimir Pavlovic
52 publications
Jianbo Shi
48 publications
Ahmed Elgammal
48 publications
Anirban Chakraborty
37 publications
Dmitri B. Chklovskii
33 publications
David Rolnick
31 publications
Maneesh Singh
27 publications
Yingli Tian
24 publications
Donglai Wei
23 publications

∙ 03/15/2022

SISL:Self-Supervised Image Signature Learning for Splicing Detection and Localization

Recent algorithms for image manipulation detection almost exclusively us...

2 Susmit Agrawal, et al. ∙

∙ 10/20/2021

Class Incremental Online Streaming Learning

A wide variety of methods have been developed to enable lifelong learnin...

4 Soumya Banerjee, et al. ∙

∙ 03/19/2020

Multilayer Dense Connections for Hierarchical Concept Classification

Classification is a pivotal function for many computer vision tasks such...

0 Toufiq Parag, et al. ∙

∙ 02/29/2020

VideoSSL: Semi-Supervised Learning for Video Classification

We propose a semi-supervised learning approach for video classification,...

9 Longlong Jing, et al. ∙

∙ 09/11/2018

Parallel Separable 3D Convolution for Video and Volumetric Data Understanding

For video and volumetric data understanding, 3D convolution layers are w...

0 Felix Gonda, et al. ∙

∙ 07/08/2018

Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets

Synaptic connectivity detection is a critical task for neural reconstruc...

0 Toufiq Parag, et al. ∙

∙ 07/27/2017

Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration

The field of connectomics has recently produced neuron wiring diagrams f...

0 Toufiq Parag, et al. ∙

∙ 05/30/2017

Morphological Error Detection in 3D Segmentations

Deep learning algorithms for connectomics rely upon localized classifica...

0 David Rolnick, et al. ∙

∙ 10/27/2016

Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures

We present an interactive approach to train a deep neural network pixel ...

0 Felix Gonda, et al. ∙

∙ 03/18/2015

What Properties are Desirable from an Electron Microscopy Segmentation Algorithm

The prospect of neural reconstruction from Electron Microscopy (EM) imag...

0 Toufiq Parag, et al. ∙

∙ 09/09/2014

Enforcing Label and Intensity Consistency for IR Target Detection

This study formulates the IR target detection as a binary classification...

0 Toufiq Parag, et al. ∙

∙ 09/05/2014

Annotating Synapses in Large EM Datasets

Reconstructing neuronal circuits at the level of synapses is a central p...

0 Stephen M. Plaza, et al. ∙

∙ 06/06/2014

Small Sample Learning of Superpixel Classifiers for EM Segmentation- Extended Version

Pixel and superpixel classifiers have become essential tools for EM segm...

0 Toufiq Parag, et al. ∙

∙ 06/05/2014

A Context-aware Delayed Agglomeration Framework for Electron Microscopy Segmentation

Electron Microscopy (EM) image (or volume) segmentation has become signi...

0 Toufiq Parag, et al. ∙

∙ 07/02/2013

Submodularity of a Set Label Disagreement Function

A set label disagreement function is defined over the number of variable...

0 Toufiq Parag, et al. ∙

∙ 03/25/2013

Machine learning of hierarchical clustering to segment 2D and 3D images

We aim to improve segmentation through the use of machine learning tools...

0 Juan Nunez-Iglesias, et al. ∙

∙ 07/13/2011

Learning Hypergraph Labeling for Feature Matching

This study poses the feature correspondence problem as a hypergraph node...

1 Toufiq Parag, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world