b'IIIT Sri City'

research

∙ 02/18/2019

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

Hyperspectral image (HSI) classification is widely used for the analysis...

Swalpa Kumar Roy, et al. ∙

research

∙ 01/15/2020

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

Image-to-image transformation is a kind of problem, where the input imag...

Kancharagunta Kishan Babu, et al. ∙

research

∙ 01/11/2019

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

The primary motivation of Image-to-Image Transformation is to convert an...

Kishan Babu Kancharagunta, et al. ∙

research

∙ 09/26/2021

Frequency Disentangled Residual Network

Residual networks (ResNets) have been utilized for various computer visi...

Satya Rajendra Singh, et al. ∙

research

∙ 12/03/2021

Semantic Map Injected GAN Training for Image-to-Image Translation

Image-to-image translation is the recent trend to transform images from ...

Balaram Singh Kshatriya, et al. ∙

research

∙ 11/26/2017

Local Jet Pattern: A Robust Descriptor for Texture Classification

Methods based on local image features have recently shown promise for te...

Swalpa Kumar Roy, et al. ∙

research

∙ 03/18/2018

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 ...

Braja Gopal Patra, et al. ∙

research

∙ 04/02/2018

Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval

The convolutional neural networks (CNN) like AlexNet, GoogleNet, VGGNet,...

Shiv Ram Dubey, et al. ∙

research

∙ 04/16/2018

Dual CNN Models for Unsupervised Monocular Depth Estimation

A lot of progress has been made to solve the depth estimation problem in...

Vamshi Krishna Repala, et al. ∙

research

∙ 05/08/2018

A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing

In the current era, biometric based access control is becoming more popu...

Chaitanya Nagpal, et al. ∙

research

∙ 07/10/2018

SceneEDNet: A Deep Learning Approach for Scene Flow Estimation

Estimating scene flow in RGB-D videos is attracting much interest of the...

Ravi Kumar Thakur, et al. ∙

research

∙ 08/26/2018

Single Image Dehazing Based on Generic Regularity

This paper proposes a novel technique for single image dehazing. Most of...

Kushal Borkar, et al. ∙

research

∙ 09/25/2018

Enhanced Session Initiation Protocols for Emergency Healthcare Applications

In medical emergencies, an instant and secure messaging is an important ...

Saha Sourav, et al. ∙

research

∙ 09/30/2018

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

Efficient and precise classification of histological cell nuclei is of u...

Shabbeer Basha S H, et al. ∙

research

∙ 03/27/2019

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

Facial expression recognition in videos is an active area of research in...

Sai Prasanna Teja Reddy, et al. ∙

research

∙ 04/02/2019

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

Synthesizing high quality saliency maps from noisy images is a challengi...

Prerana Mukherjee, et al. ∙

research

∙ 03/30/2019

OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification

Online signature verification (OSV) is one of the most challenging tasks...

Chandra Sekhar, et al. ∙

research

∙ 04/08/2019

VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting

Air pollution is the leading environmental health hazard globally due to...

Divyam Madaan, et al. ∙

research

∙ 09/04/2019

Aerial multi-object tracking by detection using deep association networks

A lot a research is focused on object detection and it has achieved sign...

Ajit Jadhav, et al. ∙

research

∙ 09/03/2019

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

Depression has been the leading cause of mental-health illness worldwide...

Anupama Ray, et al. ∙

research

∙ 08/27/2019

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

The Visual Question Answering (VQA) task combines challenges for process...

Yash Srivastava, et al. ∙

research

∙ 11/15/2019

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...

Rangeet Mitra, et al. ∙

research

∙ 02/06/2020

AnimePose: Multi-person 3D pose estimation and animation

3D animation of humans in action is quite challenging as it involves usi...

Laxman Kumarapu, et al. ∙

research

∙ 02/06/2020

Attentional networks for music generation

Realistic music generation has always remained as a challenging problem ...

Gullapalli Keerti, et al. ∙

research

∙ 02/13/2020

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...

Kancharagunta Kishan Babu, et al. ∙

research

∙ 05/15/2020

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

Applying x-vectors for speaker verification has recently attracted great...

Achintya Kumar Sarkar, et al. ∙

research

∙ 07/12/2020

Data augmentation enhanced speaker enrollment for text-dependent speaker verification

Data augmentation is commonly used for generating additional data from t...

Achintya Kumar Sarkar, et al. ∙

research

∙ 12/07/2020

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

We propose a facial micro-expression recognition model using 3D residual...

Viswanatha Reddy Gajjala, et al. ∙

research

∙ 12/20/2020

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...

Jayendra Kantipudi, et al. ∙

research

∙ 11/13/2021

Memotion Analysis through the Lens of Joint Embedding

Joint embedding (JE) is a way to encode multi-modal data into a vector s...

Nethra Gunti, et al. ∙

research

∙ 12/11/2021

Unsupervised Image to Image Translation for Multiple Retinal Pathology Synthesis in Optical Coherence Tomography Scans

Image to Image Translation (I2I) is a challenging computer vision proble...

Hemanth Pasupuleti, et al. ∙

research

∙ 07/19/2022

Moment Centralization based Gradient Descent Optimizers for Convolutional Neural Networks

Convolutional neural networks (CNNs) have shown very appealing performan...

Sumanth Sadu, et al. ∙

research

∙ 07/19/2022

Context Unaware Knowledge Distillation for Image Retrieval

Existing data-dependent hashing methods use large backbone networks with...

Bytasandram Yaswanth Reddy, et al. ∙

IIIT Sri City

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