b'IIIT Sri City'

HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification

Hyperspectral image (HSI) classification is widely used for the analysis...
02/18/2019 ∙ by Swalpa Kumar Roy, et al. ∙ 18 ∙ share

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CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation

Image-to-image transformation is a kind of problem, where the input imag...
01/15/2020 ∙ by Kancharagunta Kishan Babu, et al. ∙ 16 ∙ share

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CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation

The primary motivation of Image-to-Image Transformation is to convert an...
01/11/2019 ∙ by Kishan Babu Kancharagunta, et al. ∙ 8 ∙ share

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Local Jet Pattern: A Robust Descriptor for Texture Classification

Methods based on local image features have recently shown promise for te...
11/26/2017 ∙ by Swalpa Kumar Roy, et al. ∙ 0 ∙ share

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Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017

Sentiment analysis is essential in many real-world applications such as ...
03/18/2018 ∙ by Braja Gopal Patra, et al. ∙ 0 ∙ share

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Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval

The convolutional neural networks (CNN) like AlexNet, GoogleNet, VGGNet,...
04/02/2018 ∙ by Shiv Ram Dubey, et al. ∙ 0 ∙ share

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Dual CNN Models for Unsupervised Monocular Depth Estimation

A lot of progress has been made to solve the depth estimation problem in...
04/16/2018 ∙ by Vamshi Krishna Repala, et al. ∙ 0 ∙ share

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A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing

In the current era, biometric based access control is becoming more popu...
05/08/2018 ∙ by Chaitanya Nagpal, et al. ∙ 0 ∙ share

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SceneEDNet: A Deep Learning Approach for Scene Flow Estimation

Estimating scene flow in RGB-D videos is attracting much interest of the...
07/10/2018 ∙ by Ravi Kumar Thakur, et al. ∙ 0 ∙ share

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Single Image Dehazing Based on Generic Regularity

This paper proposes a novel technique for single image dehazing. Most of...
08/26/2018 ∙ by Kushal Borkar, et al. ∙ 0 ∙ share

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Enhanced Session Initiation Protocols for Emergency Healthcare Applications

In medical emergencies, an instant and secure messaging is an important ...
09/25/2018 ∙ by Saha Sourav, et al. ∙ 0 ∙ share

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RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification

Efficient and precise classification of histological cell nuclei is of u...
09/30/2018 ∙ by Shabbeer Basha S H, et al. ∙ 0 ∙ share

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Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks

Facial expression recognition in videos is an active area of research in...
03/27/2019 ∙ by Sai Prasanna Teja Reddy, et al. ∙ 0 ∙ share

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DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks

Synthesizing high quality saliency maps from noisy images is a challengi...
04/02/2019 ∙ by Prerana Mukherjee, et al. ∙ 0 ∙ share

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OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification

Online signature verification (OSV) is one of the most challenging tasks...
03/30/2019 ∙ by Chandra Sekhar, et al. ∙ 0 ∙ share

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VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting

Air pollution is the leading environmental health hazard globally due to...
04/08/2019 ∙ by Divyam Madaan, et al. ∙ 0 ∙ share

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Aerial multi-object tracking by detection using deep association networks

A lot a research is focused on object detection and it has achieved sign...
09/04/2019 ∙ by Ajit Jadhav, et al. ∙ 0 ∙ share

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Multi-level Attention network using text, audio and video for Depression Prediction

Depression has been the leading cause of mental-health illness worldwide...
09/03/2019 ∙ by Anupama Ray, et al. ∙ 0 ∙ share

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Visual Question Answering using Deep Learning: A Survey and Performance Analysis

The Visual Question Answering (VQA) task combines challenges for process...
08/27/2019 ∙ by Yash Srivastava, et al. ∙ 0 ∙ share

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Non-Orthogonal Multiple Access for Visible Light Communications with Ambient Light and User Mobility

The ever-increasing demand for high data-rate applications and the proli...
11/15/2019 ∙ by Rangeet Mitra, et al. ∙ 0 ∙ share

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AnimePose: Multi-person 3D pose estimation and animation

3D animation of humans in action is quite challenging as it involves usi...
02/06/2020 ∙ by Laxman Kumarapu, et al. ∙ 0 ∙ share

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Attentional networks for music generation

Realistic music generation has always remained as a challenging problem ...
02/06/2020 ∙ by Gullapalli Keerti, et al. ∙ 0 ∙ share

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PCSGAN: Perceptual Cyclic-Synthesized Generative Adversarial Networks for Thermal and NIR to Visible Image Transformation

In many real world scenarios, it is difficult to capture the images in t...
02/13/2020 ∙ by Kancharagunta Kishan Babu, et al. ∙ 0 ∙ share

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On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors

Applying x-vectors for speaker verification has recently attracted great...
05/15/2020 ∙ by Achintya Kumar Sarkar, et al. ∙ 0 ∙ share

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Data augmentation enhanced speaker enrollment for text-dependent speaker verification

Data augmentation is commonly used for generating additional data from t...
07/12/2020 ∙ by Achintya Kumar Sarkar, et al. ∙ 0 ∙ share

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MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network

We propose a facial micro-expression recognition model using 3D residual...
12/07/2020 ∙ by Viswanatha Reddy Gajjala, et al. ∙ 0 ∙ share

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Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks

The Convolutional Neural Networks (CNNs) have emerged as a very powerful...
12/20/2020 ∙ by Jayendra Kantipudi, et al. ∙ 0 ∙ share

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IIIT Sri City

Featured Researchers

Shiv Ram Dubey

Prerana Mukherjee

Snehasis Mukherjee

Viswanath Pulabaigari

Anupama Ray

Amitava Das

Achintya Kumar Sarkar

Kancharagunta Kishan Babu

Rangeet Mitra

Ravi Kumar Thakur

Siddharth Kumar

HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification

CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation

CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation

Local Jet Pattern: A Robust Descriptor for Texture Classification

Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017

Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval

Dual CNN Models for Unsupervised Monocular Depth Estimation

A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing

SceneEDNet: A Deep Learning Approach for Scene Flow Estimation

Single Image Dehazing Based on Generic Regularity

Enhanced Session Initiation Protocols for Emergency Healthcare Applications

RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification

Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks

DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks

OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification

VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting

Aerial multi-object tracking by detection using deep association networks

Multi-level Attention network using text, audio and video for Depression Prediction

Visual Question Answering using Deep Learning: A Survey and Performance Analysis

Non-Orthogonal Multiple Access for Visible Light Communications with Ambient Light and User Mobility

AnimePose: Multi-person 3D pose estimation and animation

Attentional networks for music generation

PCSGAN: Perceptual Cyclic-Synthesized Generative Adversarial Networks for Thermal and NIR to Visible Image Transformation

On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors

Data augmentation enhanced speaker enrollment for text-dependent speaker verification

MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network

Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks