Search Results for author: Satish Kumar Singh

Found 30 papers, 6 papers with code

3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image Classification

1 code implementation20 Apr 2024 Shyam Varahagiri, Aryaman Sinha, Shiv Ram Dubey, Satish Kumar Singh

Furthermore, to have high classification performance, there should be a strong interaction between the HSI token and the class (CLS) token.

Classification Hyperspectral Image Classification

Transformer-based Clipped Contrastive Quantization Learning for Unsupervised Image Retrieval

no code implementations27 Jan 2024 Ayush Dubey, Shiv Ram Dubey, Satish Kumar Singh, Wei-Ta Chu

Unsupervised image retrieval aims to learn the important visual characteristics without any given level to retrieve the similar images for a given query image.

Contrastive Learning Image Retrieval +2

Face to Cartoon Incremental Super-Resolution using Knowledge Distillation

no code implementations27 Jan 2024 Trinetra Devkatte, Shiv Ram Dubey, Satish Kumar Singh, Abdenour Hadid

Facial super-resolution/hallucination is an important area of research that seeks to enhance low-resolution facial images for a variety of applications.

Hallucination Incremental Learning +2

SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network

no code implementations4 Dec 2023 Neeraj Baghel, Shiv Ram Dubey, Satish Kumar Singh

Motivated from the success of transformers in language and vision applications, we propose a SRTransGAN for image super-resolution using transformer based GAN.

Binary Classification Decoder +6

PTSR: Patch Translator for Image Super-Resolution

no code implementations20 Oct 2023 Neeraj Baghel, Shiv Ram Dubey, Satish Kumar Singh

The results of the proposed model is improved on an average for $4\times$ super-resolution by 21. 66% in PNSR score and 11. 59% in SSIM score, as compared to the best competitive models.

Image Super-Resolution SSIM

Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive Survey

no code implementations17 Feb 2023 Shiv Ram Dubey, Satish Kumar Singh

This paper presents a comprehensive survey on the developments and advancements in GANs utilizing the Transformer networks for computer vision applications.

Image-to-Image Translation Translation

AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs

1 code implementation12 Oct 2022 Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri

In this paper, we propose a novel AdaNorm based SGD optimizers by correcting the norm of gradient in each iteration based on the adaptive training history of gradient norm.

Object Recognition

Ensembling Handcrafted Features with Deep Features: An Analytical Study for Classification of Routine Colon Cancer Histopathological Nuclei Images

no code implementations22 Feb 2022 Suvidha Tripathi, Satish Kumar Singh

The use of Deep Learning (DL) based methods in medical histopathology images have been one of the most sought after solutions to classify, segment, and detect diseased biopsy samples.

An Object Aware Hybrid U-Net for Breast Tumour Annotation

no code implementations22 Feb 2022 Suvidha Tripathi, Satish Kumar Singh

For polygon like annotation or segmentation, we have used Active Contours whose vertices or snake points move towards the boundary of the object of interest to find the region of minimum energy.

Instance Segmentation Segmentation +1

Cell nuclei classification in histopathological images using hybrid OLConvNet

no code implementations21 Feb 2022 Suvidha Tripathi, Satish Kumar Singh

To further strengthen the viability of our architectural approach, we tested our proposed methodology with state of the art deep learning architectures AlexNet, VGG16, VGG19, ResNet50, InceptionV3, and DenseNet121 as backbone networks.

Classification Nuclei Classification

R-Theta Local Neighborhood Pattern for Unconstrained Facial Image Recognition and Retrieval

no code implementations3 Jan 2022 Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty

RTLNP exploits relationships amongst the pixels in local neighborhood of the reference pixel at different angular and radial widths.

Face Image Retrieval Retrieval

Local Gradient Hexa Pattern: A Descriptor for Face Recognition and Retrieval

no code implementations3 Jan 2022 Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty

Accuracy of these descriptors depends on the precision of mapping the relationship that exists in the local neighborhood of a facial image into microstructures.

Face Recognition Retrieval

Centre Symmetric Quadruple Pattern: A Novel Descriptor for Facial Image Recognition and Retrieval

no code implementations3 Jan 2022 Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty

Distinctive information captured by the kernel with limited number of pixel achieves satisfactory recognition and retrieval accuracies on facial images taken under constrained environment (controlled variations in light, pose, expressions, and background).

Retrieval

Cascaded Asymmetric Local Pattern: A Novel Descriptor for Unconstrained Facial Image Recognition and Retrieval

no code implementations3 Jan 2022 Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty

In this paper a novel hand crafted cascaded asymmetric local pattern (CALP) is proposed for retrieval and recognition facial image.

Retrieval

Local Quadruple Pattern: A Novel Descriptor for Facial Image Recognition and Retrieval

no code implementations3 Jan 2022 Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty

The major problem in increasing the local neighbourhood is that, it also increases the feature length of the descriptor.

Retrieval

Local Directional Gradient Pattern: A Local Descriptor for Face Recognition

no code implementations3 Jan 2022 Soumendu Chakraborty, Satish Kumar Singh, Pavan Chakraborty

The proposed local directional gradient pattern (LDGP) is a 1D local micropattern computed by encoding the relationships between the higher order derivatives of the reference pixel in four distinct directions.

Face Recognition

Scene Graph Generation with Geometric Context

no code implementations25 Nov 2021 Vishal Kumar, Albert Mundu, Satish Kumar Singh

We use this post-processing algorithm to add and refine the geometric relationships between object pairs to a prior model.

Activity Recognition Graph Generation +5

Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark

1 code implementation29 Sep 2021 Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri

The most popular and common non-linearity layers are activation functions (AFs), such as Logistic Sigmoid, Tanh, ReLU, ELU, Swish and Mish.

AdaInject: Injection Based Adaptive Gradient Descent Optimizers for Convolutional Neural Networks

1 code implementation26 Sep 2021 Shiv Ram Dubey, S. H. Shabbeer Basha, Satish Kumar Singh, Bidyut Baran Chaudhuri

Overall, we observe very promising performance improvement of existing optimizers with the proposed AdaInject approach.

Vision Transformer Hashing for Image Retrieval

1 code implementation26 Sep 2021 Shiv Ram Dubey, Satish Kumar Singh, Wei-Ta Chu

We utilize the pre-trained ViT on ImageNet as the backbone network and add the hashing head.

Deep Hashing Image Retrieval +1

Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model

no code implementations24 Aug 2021 Dipti Mishra, Satish Kumar Singh, Rajat Kumar Singh

In this work, we propose a two-stage autoencoder based compressor-decompressor framework for compressing malaria RBC cell image patches.

Image Compression MS-SSIM +1

Signature Verification using Geometrical Features and Artificial Neural Network Classifier

no code implementations4 Aug 2021 Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh

Publicly available dataset MCYT, BHSig260 (contains the image of two regional languages Bengali and Hindi) has been used in this paper to test the effectiveness of the proposed method.

A Novel Deep Learning Method for Thermal to Annotated Thermal-Optical Fused Images

no code implementations13 Jul 2021 Suranjan Goswami, IEEE Student Member, Satish Kumar Singh, Senior Member, Bidyut B. Chaudhuri, Life Fellow, IEEE

As a part of this work, we also present a new and unique database for obtaining the region of interest in thermal images based on an existing thermal visual paired database, containing the Region of Interest on 5 different classes of data.

Deep learning-based Edge-aware pre and post-processing methods for JPEG compressed images

no code implementations11 Apr 2021 Dipti Mishra, Satish Kumar Singh, Rajat Kumar Singh

We propose a learning-based compression scheme that envelopes a standard codec between pre and post-processing deep CNNs.

Image Compression MS-SSIM +2

Face Recognition using 3D CNNs

no code implementations2 Feb 2021 Nayaneesh Kumar Mishra, Satish Kumar Singh

In this work, we used video as input to the 3D CNN architectures for capturing both spatial and time domain information from the video for face recognition in real world environment.

Face Recognition Robust Face Recognition

Face Recognition Using $Sf_{3}CNN$ With Higher Feature Discrimination

no code implementations2 Feb 2021 Nayaneesh Kumar Mishra, Satish Kumar Singh

A video, instead of an image, as an input can be more useful to solve the challenges of face recognition in real world conditions.

Face Recognition

A Simple Mutual Information based Registration Method for Thermal-Optical Image Pairs applied on a Novel Dataset

no code implementations18 Jan 2021 Suranjan Goswami, Satish Kumar Singh

While thermal optical registered datasets are becoming widely available, most of these works are based on image pairs which are pre-registered.

Colorization Image Registration

diffGrad: An Optimization Method for Convolutional Neural Networks

1 code implementation12 Sep 2019 Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy, Snehasis Mukherjee, Satish Kumar Singh, Bidyut Baran Chaudhuri

In this paper, a novel optimizer is proposed based on the difference between the present and the immediate past gradient (i. e., diffGrad).

Image Categorization

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