138 Publications · 2006–2026
75 Journal Articles
59 Conference Papers
4 Books & Chapters
21 Years Active
11 Journals & Venues
3.7 Journal Impact Median
62 H5-Index Median (Conferences)
5,943 Citations 31 h-index 64 i10-index
58 Free Full Text · 42%

133 of 138 publications shown

2026

Journal IEEE IF 20.4 Under Review

LocA-ViT: Locality Aware Vision Transformer

Manish Das, Shiv Ram Dubey, and Satish Kumar Singh

IEEE Transactions on Pattern Analysis and Machine Intelligence · 2026

Journal IEEE IF 10.8 Under Review

MLVCap: Multi-Level Visual Feature Fusion for Image Captioning

Albert Mundu, Satish Kumar Singh, and Shiv Ram Dubey

IEEE Transactions on Circuits and Systems for Video Technology · 2026

Journal IEEE IF 6.0 Under Review

FAFViT: Feature Attention Fusion Guided Token Pruning for Efficient Vision Transformer

Manish Das, Shiv Ram Dubey, and Satish Kumar Singh

IEEE Transactions on Emerging Topics in Computational Intelligence · 2026

Journal IEEE IF 6.0 Under Review

DistilFIBER: Distilling FIBER for Image Captioning

Albert Mundu, Satish Kumar Singh, and Shiv Ram Dubey

IEEE Transactions on Emerging Topics in Computational Intelligence · 2026

Journal IEEE IF 10.8 Under Review

LEMA-ViT: Layer-wise Exponential Moving Average Based Self-Attention in Vision Transformers

Manish Das, Shiv Ram Dubey, and Satish Kumar Singh

IEEE Transactions on Circuits and Systems for Video Technology · 2026

Journal World Scientific IF 0.9

Hash Guided Patch Retrieval for Efficient Anomaly Detection

Priyam Pandey and Satish Kumar Singh

International Journal of Pattern Recognition and Artificial Intelligence · 2026

Brief A deep position-aware hashing-based patchcore that conducts quick Hashing-based shortlisting and accurate feature-space comparison in place of compressing the memory bank via coreset selection, making PatchCore-style anomaly detection, quite appropriate for medical diagnostics applications.

DOI
Journal Elsevier IF 5.5

ZALF: A Zero-Anomaly Learning Framework for Unsupervised Chest X-ray Anomaly Detection

Priyam Pandey and Satish Kumar Singh

Computers and Electrical Engineering · 2026

DOI
Journal Elsevier IF 4.6 Open Access

Cross-dataset diabetic retinopathy grading with a lesion-anchored multi-view transformer and ordinal-distance knowledge distillation

Pravin Kumar and Satish Kumar Singh

ICT Express · 2026

DOI
Conference

LCK-CBM: Typed Lesion Keypoints for Interpretable Cross-Dataset Diabetic Retinopathy Grading

Pravin Kumar and Satish Kumar Singh

11th International Conference on Computer Vision and Image Processing (IAPR CVIP) · 2026

Conference

Lesion-Graph Ordinal Reasoning with Calibrated Deferral for Cross-Dataset Diabetic Retinopathy Triage

Pravin Kumar and Satish Kumar Singh

11th International Conference on Computer Vision and Image Processing (IAPR CVIP) · 2026

Conference IEEE Open Access

ConvRoute-ViT: Convolutional Token Routing for Efficient Vision Transformers

Manish Das, Shiv Ram Dubey, and Satish Kumar Singh

IEEE Region-10 Conference (IEEE TENCON) · 2026

DOI PDF
Conference IEEE

X-ENSEMBLE: An Explainable Hybrid CNN-Transformer Model for Multi-Label Chest X-ray Classification

Deeksha Gupta, Satish Kumar Singh, Mukul S. Sutaone, and Xiaoyi Jiang

IEEE Region-10 Conference (IEEE TENCON) · 2026

Conference IEEE

HAViT: Historical Attention Vision Transformer

Swarnendu Banik, Manish Das, Shiv Ram Dubey, and Satish Kumar Singh

IEEE Conference on Artificial Intelligence (IEEE CAI) · 2026

Brief An effective cross-layer attention propagation method that preserves and integrates historical attention matrices across encoder layers is proposed, offering a principled refinement of interlayer information flow in Vision Transformers.

PDF DOI arXiv

2025

Journal Elsevier IF 5.0

UpAttTrans: Upscaled attention-based transformer for facial image super-resolution

Neeraj Baghel, Shiv Ram Dubey, and Satish Kumar Singh

Image and Vision Computing · 2025

Link DOI
Journal Elsevier IF 3.5 Accepted

PTSR: Patch Translator for Image Super-Resolution

Neeraj Baghel, Shiv Ram Dubey, and Satish Kumar Singh

Pattern Recognition Letters · 2025

PDF arXiv
Journal Springer IF 2.7

Improved YOLOv11 with weights pruning for road object detection in rainy environment

Navjot Singh, Chandra Prakash Maurya, Bharat Mahaur, and Satish Kumar Singh

Signal, Image and Video Processing · 2025

Brief A novel approach to improve the detection of road objects in rainy weather scenarios by applying YOLOv11 model, which has a comparable mean Average Precision with the baseline YOLOv11 but at a 2x compression ratio under rainy conditions.

Link DOI
Journal IF 3.4

Edge-aware pre and post-processing for JPEG images using deep learning architectures

Dipti Mishra, Satish Kumar Singh, Rajat Kumar Singh, and Mukul Sharad Sutaone

Digital Signal Processing · 2025

Link DOI
Journal IEEE IF 7.7

Non-Uniform Illumination Attack for Fooling Convolutional Neural Networks

Akshay Jain, Shiv Ram Dubey, Satish Kumar Singh, KC Santosh, and Bidyut Baran Chaudhuri

IEEE Transactions on Artificial Intelligence · 2025

Brief A novel nonuniform illumination (NUI) attack technique, where images are subtly altered using varying NUI masks to bolster CNN models’ resilience against NUI attacks, demonstrating a significant enhancement in CNN model performance when confronted with perturbed images affected by NUI attacks.

PDF Link Code arXiv DOI
Journal Elsevier IF 17.4

An image information fusion based simple diffusion network leveraging the segment anything model for guided attention on thermal images producing colorized pedestrian masks

Suranjan Goswami and Satish Kumar Singh

Information Fusion · 2025

Link DOI
Conference IEEE

ThreatNet: Multimodal Firearm Threat Assessment Network

Albert Mundu, Satish Kumar Singh, and Shiv Ram Dubey

12th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (IEEE UPCON) · 2025

DOI
Conference IEEE

RainGAN-Kathmandu: A Generative Adversarial Framework for Synthetic Rainfall Augmentation in Urban Road Scene Datasets

Nitesh Kumar Shah, Gadde Jahnavi, Navjot Singh, Chandra Prakash Maurya, and Satish Kumar Singh

IEEE Region-10 Conference (IEEE TENCON) · 2025

DOI
Conference IEEE h5 137

Patch Attention Excitation Based Vision Transformer for Small-Sized Datasets

Akash Verma, Shiv Ram Dubey, and Satish Kumar Singh

50th IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP) · 2025

PDF Code DOI

2024

Journal Springer IF 3.4

ISA-GAN: Inception based Self-Attentive Encoder-Decoder Network for Face Synthesis using Delineated Facial Images

Nand Kumar Yadav, Satish Kumar Singh, and Shiv Ram Dubey

The Visual Computer · 2024

Brief A new inception-based encoder–decoder self-attentive generative adversarial network (ISA-GAN) is developed by incorporating an inception network with self-attention-based learning that outperforms the state-of-the-art generative models for face synthesis.

Link DOI
Journal IEEE IF 7.7

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

Shiv Ram Dubey and Satish Kumar Singh

IEEE Transactions on Artificial Intelligence · 2024

Brief A comprehensive survey on the developments and advancements in GANs utilizing the transformer networks for computer vision applications is presented and the performance comparison for several applications on benchmark datasets is performed and analyzed.

PDF Link arXiv DOI
Journal Springer IF 3.5

ETransCap: Efficient Transformer for Image Captioning

Albert Mundu, Satish Kumar Singh, and Shiv Ram Dubey

Applied Intelligence · 2024

Brief This work introduces a lightweight and efficient transformer-based model called the Efficient Transformer Captioner (ETransCap), which consumes fewer computation resources to generate captions and demonstrates the potential of ETransCap as a good approach for image captioning tasks in real-time applications.

Link DOI
Conference

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

Neeraj Baghel, Shiv Ram Dubey, and Satish Kumar Singh

9th International Conference on Computer Vision and Image Processing (CVIP) · 2024

PDF DOI arXiv
Conference

TranscoderGAN: Transformer-Inception based Encoder-Decoder Generative Adversarial Network for Thermal-Visible Face Transformation

Nand Kumar Yadav, Satish Kumar Singh, and Shiv Ram Dubey

9th International Conference on Computer Vision and Image Processing (CVIP) · 2024

DOI
Conference

Impact of Color Channel Perturbation Attack on Vision Transformers

Ajay Kumar Yadav, Shiv Ram Dubey, Satish Kumar Singh, Anushka Kalwale, Karus Manisha, and Devanshu Gupta

9th International Conference on Computer Vision and Image Processing (CVIP) · 2024

DOI
Conference

Face Recognition in Selfie Images using Vision Transformer Variants

Ajay Kumar Yadav, Shubham Singh, Shiv Ram Dubey, and Satish Kumar Singh

9th International Conference on Computer Vision and Image Processing (CVIP) · 2024

DOI
Conference h5 52

3D-CMT: 3D-CNN meets Transformer for Hyperspectral Image Classification

Sunita Arya, Shiv Ram Dubey, S Manthira Moorthi, Debajyoti Dhar, and Satish Kumar Singh

Women in Computer Vision Workshop, Asian Conference on Computer Vision (ACCV) · 2024

Brief A 3D-CmT (3D-CNN meets Transformer) model for Hyperspectral Image Classification that leverages the unique capabilities of both 3D-CNN and ViT to effectively classify images captured by hyperspectral imaging.

PDF Link DOI
Conference h5 68

Face to Cartoon Incremental Knowledge Distillation for Super-Resolution

Trinetra Devkatte, Shiv Ram Dubey, Satish Kumar Singh, and Abdenour Hadid

27th International Conference on Pattern Recognition (ICPR) · 2024

PDF Link Code arXiv DOI
Conference IEEE h5 55

Transformer-based Clipped Contrastive Quantization Learning for Unsupervised Image Retrieval

Ayush Dubey, Shiv Ram Dubey, Satish Kumar Singh, and Wei-Ta Chu

IEEE International Conference on Image Processing (IEEE ICIP) · 2024

PDF Link arXiv DOI
Conference IEEE

Medical Image Encryption Scheme Using Henon Chaotic Map

Kapil Mishra, Satish Kumar Singh, and P. Nagabhushan

11th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (IEEE UPCON) · 2024

DOI
Conference

Label Few Classify Many: N-Shot GAN for Abnormality Screening Using Chest X-Rays

Prateek Pandey, Satish Kumar Singh, and K. C. Santosh

International Conference on Computational Intelligence in Pattern Recognition (CIPR) · 2024

DOI
Conference IEEE Best Poster Award

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

Shyam Varahagiri, Aryaman Sinha, Shiv Ram Dubey, and Satish Kumar Singh

IEEE Conference on Artificial Intelligence (IEEE CAI) · 2024

Brief A 3D-Convolution guided Spectral-Spatial Transformer (3D-ConvSST) for HSI classification that utilizes a 3D-Convolution Guided Residual Module (CGRM) in-between encoders to "fuse" the local spatial and spectral information and to enhance the feature propagation.

PDF Link Code arXiv DOI

2023

Journal IEEE IF 7.7

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

Shiv Ram Dubey, Satish Kumar Singh, and Bidyut Baran Chaudhuri

IEEE Transactions on Artificial Intelligence · 2023

Brief Very promising performance improvement of existing optimizers are observed with the proposed AdaInject approach, which is generic in nature and can be integrated with any existing SGD optimizer.

PDF Link Code arXiv DOI
Journal Springer IF 4.5 (2023)

TVA-GAN: Attention Guided Generative Adversarial Network For Thermal To Visible Face Transformations

Nand Kumar Yadav, Satish Kumar Singh, and Shiv Ram Dubey

Neural Computing and Applications · 2023

Brief A new Attention-guided Cyclic Generative Adversarial Network for Thermal to Visible Face transformation (TVA-GAN) is designed by integrating a new attention network by integrating a new attention network for thermal-to-visible image translation.

Link PDF Code DOI Free PDF
Journal Elsevier IF 5.0

Occluded thermal face recognition using BoCNN and radial derivative Gaussian feature descriptor

Sumit Kumar, Satish Kumar Singh, and Peter Peer

Image and Vision Computing · 2023

Link DOI
Journal Springer IF 3.5 Open Access

MmLwThV framework: A masked face periocular recognition system using thermo-visible fusion

Nayaneesh Kumar Mishra, Sumit Kumar, and Satish Kumar Singh

Applied Intelligence · 2023

Brief A lightweight periocular recognition framework that uses thermo-visible features and ensemble subspace network classifier to improve upon the existing periacular recognition systems named as Masked Mobile Lightweight Thermo- visible Face Recognition (MmLwThV), which successfully improves the accuracy over a single visible modality by mitigating the effect of noise present in the thermosensitive features.

Link DOI PDF
Conference Springer

DCT-SwinGAN: Leveraging DCT and Swin Transformer for Face Synthesis from Sketch and Thermal Domains

Haresh Kumar Kotadiya, Satish Kumar Singh, Shiv Ram Dubey, and Nand Kumar Yadav

8th International Conference on Computer Vision and Image Processing (CVIP) · 2023

PDF Link DOI
Conference IEEE

Analysis of Deep Learning Models to Detect Breast Cancer from Histopathology Images

Anjali Gautam and Satish Kumar Singh

IEEE Region 10 Conference, (TENCON) · 2023

Link DOI
Conference IEEE h5 131

AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs

Shiv Ram Dubey, Satish Kumar Singh, and Bidyut Baran Chaudhuri

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2023

Brief A novel AdaNorm based SGD optimizers are proposed by correcting the norm of gradient in each iteration based on the adaptive training history of gradient norm and are able to maintain high and representive gradient throughout the training and solves the low and atypical gradient problems.

PDF Link Code arXiv DOI
Conference Springer

Leveraging CNN and Transfer Learning for Classification of Histopathology Images

Achyut Dubey, Satish Kumar Singh, and Xiaoyi Jiang

4th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND) · 2023

Link DOI
Book Springer Open Access

Computer Vision and Machine Intelligence

Massimo Tistarelli, Shiv Ram Dubey, Satish Kumar Singh, and Xiaoyi Jiang (Editors)

Lecture Notes in Networks and Systems, Springer, Singapore · 2023

Link DOI PDF

2022

Journal Elsevier IF 6.7

Deep CNN based Image Compression with Redundancy Minimization via Attention Guidance

Dipti Mishra, Satish Kumar Singh, and Rajat Kumar Singh

Neurocomputing · 2022

Link DOI
Journal Springer IF 3.5

CSA-GAN: Cyclic synthesized attention guided generative adversarial network for face synthesis

Nand Kumar Yadav, Satish Kumar Singh, and Shiv Ram Dubey

Applied Intelligence · 2022

Brief A new Cyclic Synthesized Attention Generative Adversarial Network (CSA-GAN) is developed by incorporating the cycle synthesized loss with the attention network to reduce the learning space and improve the rate of convergence.

Link PDF Code DOI
Journal Elsevier IF 6.7

Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark

Shiv Ram Dubey, Satish Kumar Singh, and Bidyut Baran Chaudhuri

Neurocomputing · 2022

Brief A comprehensive overview and survey is presented for AFs in neural networks for deep learning, covering different classes of AFs such as Logistic Sigmoid and Tanh based, ReLU based, ELU based, and Learning based.

PDF Link Code arXiv DOI
Journal IEEE IF 7.0

MobileAR-GAN: MobileNet based Efficient Attentive Recurrent Generative Adversarial Network

Nand Kumar Yadav, Satish Kumar Singh, and Shiv Ram Dubey

IEEE Transactions on Instrumentation and Measurement · 2022

PDF Link Code
Journal Elsevier IF 5.0

An encoder–decoder based thermo-visible image translation for disguised and undisguised faces

Sumit Kumar, Satish Kumar Singh, Nayaneesh Kumar Mishra, and Mainak Dutta

Image and Vision Computing · 2022

Link DOI
Journal Elsevier IF 3.7

Deep Architectures for Image Compression: A Critical Review

Dipti Mishra, Satish Kumar Singh, and Rajat Kumar Singh

Signal Processing · 2022

Link DOI
Journal Springer

Face Recognition Using 3D CNN and Hardmining Loss Function

Nayaneesh Kumar Mishra and Satish Kumar Singh

SN Computer Science · 2022

Brief A framework uses the Hardmining loss with 3D CNN to increase the discriminative ability of a basic loss function for 3DCNN features.

Link DOI
Journal Elsevier IF 5.0

Regularized Hardmining loss for face recognition

Nayaneesh Kumar Mishra and Satish Kumar Singh

Image and Vision Computing · 2022

Link DOI
Conference IEEE

Diabetic Retinopathy Image Analysis Using Deep Learning Techniques

Naman Goel and Satish Kumar Singh

9th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) · 2022

Link DOI
Conference Springer

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

Suranjan Goswami, Satish Kumar Singh, and Bidyut Baran Chaudhuri

7th International Conference on Computer Vision and Image Processing (CVIP) · 2022

Brief A deep learning based pioneering work that produces a grayscale thermo-optical fused mask given a thermal input, and a simple low cost overhead statistical measure for identifying the region of interest in the fused images, which is called the Region of Fusion (RoF).

PDF Link arXiv DOI
Conference Springer

Leveraging Tri-Planar Views and Weighted Average Fusion Technique to Classify Lung Nodule Malignancy

Samiksha Gupta, Satish Kumar Singh, and Xiaoyi Jiang

7th International Conference on Computer Vision and Image Processing (CVIP) · 2022

Link DOI
Conference IEEE

Generative Adversarial Networks for Inpainting Occluded Face Images

Riya Shah, Anjali Gautam, and Satish Kumar Singh

6th IEEE International Conference Information and Communication Technology (CICT) · 2022

Link DOI
Conference IEEE

Overview of Image Inpainting Techniques: A Survey

Riya Shah, Anjali Gautam, and Satish Kumar Singh

IEEE Region 10 Symposium (TENSYMP) · 2022

DOI
Conference Springer

An Object Aware Hybrid U-Net for Breast Tumour Annotation

Suvidha Tripathi and Satish Kumar Singh

Biomedical Signal and Image Processing with Artificial Intelligence · 2022

PDF Link arXiv DOI
Conference Springer

Resolution Invariant Face Recognition

Priyank Makwana, Satish Kumar Singh, and Shiv Ram Dubey

International Conference on Computer Vision and Machine Intelligence (CVMI) · 2022

Link DOI
Conference Springer

Target Detection using Transformer: A study using DETR

Akhilesh Kumar, Satish Kumar Singh, and Shiv Ram Dubey

International Conference on Computer Vision and Machine Intelligence (CVMI) · 2022

Link DOI
Conference IEEE h5 50

Vision Transformer Hashing for Image Retrieval

Shiv Ram Dubey, Satish Kumar Singh, and Wei-Ta Chu

IEEE International Conference on Multimedia and Expo (ICME) · 2022

Brief The proposed VTS based image retrieval outperforms the recent state-of-the-art hashing techniques with a significant margin and is better than the existing networks, such as AlexNet and ResNet.

PDF Link Code arXiv DOI
Conference IEEE

Face Spoofing and Presentation Attack Detection

Anubhab Nandy and Satish Kumar Singh

IEEE World Conference on Applied Intelligence and Computing (AIC) · 2022

Link DOI
Conference IEEE

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

Suranjan Goswami and Satish Kumar Singh

3rd International Conference for Emerging Technology (INCET) · 2022

Brief A thermal image registration technique which is computationally lightweight, and can be employed regardless of the resolution of the images captured, is presented.

PDF Link DOI arXiv
Conference Springer

ColCompNeT: Deep Learning-Based Colorization-Based Coding Network

Dipti Mishra and Satish Kumar Singh

4th International Conference on Machine Intelligence Techniques for Data Analysis and Signal Processing (MISP) · 2022

Link DOI

2021

Journal Elsevier IF 5.0

Multiscale parallel deep CNN (mpdCNN) architecture for the real low-resolution face recognition for surveillance

Nayaneesh Kumar Mishra, Mainak Dutta, and Satish Kumar Singh

Image and Vision Computing · 2021

Brief A Deep-CNN based architecture called mpdCNN is presented to solve the problem of face recognition in low as well as high-resolution images with high accuracy and robustness and gives 88.6% accuracy on the SCface database which is an impressive improvement over the state-of-the-art algorithms.

Link DOI
Journal Elsevier IF 6.7

Multi-scale network (MsSG-CNN) for joint image and saliency map learning-based compression

Dipti Mishra, Satish Kumar Singh, Rajat Kumar Singh, and Divanshu Kedia

Neurocomputing · 2021

Brief Using the concept of the Guided Grad-CAM (Gradient-weighted Class Activation Mapping) technique to produce heat maps with the help of a heat map generator trained on ResNet-50, a saliency-guided encoding–decoding algorithm is developed, in which a wider multi-scale saliency guided convolutional neural network is designed.

Link DOI
Journal Springer IF 4.5 (2023) Open Access

Signature Verification using Geometrical Features and Artificial Neural Network Classifier

Anamika Jain, Satish Kumar Singh, and Krishna Pratap Singh

Neural Computing and Applications · 2021

Brief The technique presented in this paper harnesses the geometrical features of a signature image like center, isolated points, connected components, etc. and, with the power of artificial neural network classifier, classifies the signature image based on their geometric features.

PDF Link DOI arXiv
Journal IEEE IF 10.8

Wavelet-based Deep Auto Encoder-Decoder (WDAED) based Image Compression

Dipti Mishra, Satish Kumar Singh, and Rajat Kumar Singh

IEEE Transactions on Circuits and Systems for Video Technology · 2021

Link DOI
Journal IET IF 1.6 Open Access

Multi-task learning using GNet features and SVM classifier for signature identification

Anamika Jain, Satish Kumar Singh, and Krishna Pratap Singh

IET Biometrics · 2021

Brief A writer and language ‐ independent signature identification method that can distinguish between the genuine and forged sample irrespective of the language of the signature has been proposed.

Link DOI PDF
Journal Elsevier IF 5.5 Open Access

An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling - A BiLSTM Approach for Image Classification

Suvidha Tripathi and Satish Kumar Singh

Computerized Medical Imaging and Graphics · 2021

Brief This work found out that BiLSTMs with CNN features have performed much better in modelling patches into an end-to-end Image classification network and the variable dimensions of WSI tumour regions were used for classification without the need for resizing, suggesting that the method is independent of tumour image size and can process large dimensional images without losing the resolution details.

PDF Link DOI arXiv
Conference Springer

Signature Based Authentication: A Multi-label Classification Approach to Detect the Language and Forged Sample in Signature

Anamika Jain, Satish Kumar Singh, and Krishna Pratap Singh

6th International Conference on Computer Vision and Image Processing (CVIP) · 2021

Link DOI
Conference Springer

Scene Graph Generation with Geometric Context

Vishal Kumar, Albert Mundu, and Satish Kumar Singh

6th International Conference on Computer Vision and Image Processing (CVIP) · 2021

Brief This work introduced a post-processing algorithm called Geometric Context to understand the visual scenes better geometrically, and uses Knowledge Embedded Routing Network as a baseline model and extends the work with the algorithm, and shows comparable results on the recent state-of-the-art algorithms.

PDF Link arXiv DOI
Conference IEEE

Modified Selective Kernel Networks and Application in Classification

Rushi Vyas and Satish Kumar Singh

8th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) · 2021

Link DOI
Book Springer

Computer Vision and Image Processing

P. Nagabhushan, Balasubramanian Raman, Partha Pratim Roy, and Satish Kumar Singh (Editors)

Communications in Computer and Information Science, Springer, Singapore · 2021

Link DOI
Book

An Object Aware Hybrid U-Net for Breast Tumour Annotation

Suvidha Tripathi and Satish Kumar Singh

Biomedical Signal and Image Processing with Artificial Intelligence · 2021

PDF DOI arXiv

2020

Journal Springer IF 3.0 (2023) Open Access

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

Suvidha Tripathi and Satish Kumar Singh

Multimedia Tools and Applications · 2020

Brief This work has tried to highlight that a single DL network (domain-specific or state of the art pre-trained models) cannot be directly used as the base model without proper analysis with the relevant dataset, and observed that the DL features ensemble bring a marked improvement in the overall performance of the model.

PDF Link DOI arXiv
Journal IEEE IF 9.7

diffGrad: An Optimization Method for Convolutional Neural Networks

Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy, Snehasis Mukherjee, Satish Kumar Singh, and Bidut Baran Choudhury

IEEE Transactions on Neural Networks and Learning Systems · 2020

Brief A novel optimizer is proposed based on the difference between the present and the immediate past gradient, diffGrad, which shows that diffGrad outperforms other optimizers and performs uniformly well for training CNN using different activation functions.

PDF Link Code arXiv DOI
Journal Springer IF 3.0 (2023)

Efficient Collusion Resistant Multi-Secret Image Sharing

Kapil Mishra, Satish Kumar Singh, Sannihith Kavala, and P. Nagabhushan

Multimedia Tools and Applications · 2020

Brief A novel MSS scheme designed to be collusion resistant is reported, which is efficient and preserves the security requirements in a much better way than the existing MSS schemes.

Link DOI
Journal Elsevier IF 3.5

A Simple Deep Learning Based Image Illumination Correction Method for Paintings

Suranjan Goswami and Satish Kumar Singh

Pattern Recognition Letters · 2020

Brief A very simple deep learning based image illumination correction architecture which works on color images of paintings irrespective of whether they are under or over illuminated is presented.

Link DOI
Journal IEEE IF 4.5 Open Access

Facial Biometric System for Recognition using Extended LGHP Algorithm on Raspberry-Pi

Soumendu Chakraborty, Satish Kumar Singh, and Kush Kumar

IEEE Sensors Journal · 2020

Brief The proposed extended version of LGHP improved performance as shown in performance analysis and shows improvement over other state-of-the-art descriptors namely LDP, LTrP, MLBP and LVP on the most challenging benchmark facial image databases.

PDF Link arXiv DOI
Journal Springer IF 3.0 (2023)

Handwritten Signature Verification using Shallow Convolutional Neural Network

Anamika Jain, Satish Kumar Singh, and Krishna Pratap Singh

Multimedia Tools and Applications · 2020

Brief A convolutional neural network-based language-independent shallow architecture (sCNN(Shallow Convolutional Neural Network)) for signature verification is proposed, which is very simple but extremely efficient in terms of accuracy.

Link DOI
Journal IEEE IF 3.6

Occluded Thermal Face recognition using Bag of CNN (BoCNN)

Sumit Kumar and Satish Kumar Singh

IEEE Signal Processing Letters · 2020

Link DOI
Journal ACM IF 5.6 Open Access

Cell Nuclei Classification In Histopathological Images using Hybrid OLConvNet

Suvidha Tripathi and Satish Kumar Singh

ACM Transactions on Multimedia Computing, Communications, and Applications · 2020

PDF Link DOI arXiv
Conference Springer

Facial Occlusion Detection and Reconstruction Using GAN

Diksha Khas, Sumit Kumar, and Satish Kumar Singh

5th International Conference on Computer Vision and Image Processing (CVIP) · 2020

Link DOI
Conference Springer Open Access

Face Recognition Using Sf3CNN with Higher Feature Discrimination

Nayaneesh Kumar Mishra and Satish Kumar Singh

5th International Conference on Computer Vision and Image Processing (CVIP) · 2020

Brief The Sf3CNN framework uses 3-dimensional Residual Network (3D Resnet) and A-Softmax loss for face recognition in videos and gives an increased accuracy of 99.10% on CVBL video database in comparison to the previous 97% on the same database using 3D ResNets.

PDF Link DOI arXiv
Conference IEEE

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

Dipti Mishra, Satish Kumar Singh, and Rajat Kumar Singh

7th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) · 2020

Brief A two-stage autoencoder based compressor-decompressor framework for compressing malaria RBC cell image patches that exhibits a significant improvement in bit savings of 76%, 78%, 75% & 74% over JPEG-LS, JP2K-LM, CALIC and recent neural network approach respectively, making it a good compression-Decompression technique.

PDF Link DOI arXiv

2019

Journal Springer IF 3.0 (2023) Open Access

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

Soumendu Chakraborty, Satish Kumar Singh, and Pavan Chakraborty

Multimedia Tools and Applications · 2019

Brief A novel hand crafted cascaded asymmetric local pattern (CALP) is proposed for retrieval and recognition facial image and outperforms state of the art under uncontrolled variations in expressions, background, pose and illumination.

PDF Link arXiv DOI
Journal Springer IF 3.0 (2023) Open Access

R-theta Local Neighborhood Pattern for Unconstrained Facial Image Recognition and Retreival

Soumendu Chakraborty, Satish Kumar Singh, and Pavan Chakraborty

Multimedia Tools and Applications · 2019

Brief Better retrieval rates of RTLNP as compared to the existing state of the art descriptors show the effectiveness of the descriptor.

PDF Link arXiv DOI
Journal IOS IF 1.0 (2024)

Edge based enhancement of retinal images using an efficient JPEG-compressed domain technique

Mohammed Javed, P. Nagabhushan, Bidyut B. Chaudhuri, and Satish Kumar Singh

Journal of Intelligent & Fuzzy Systems · 2019

Brief A novel technique of edge based enhancement of retinal images, which is a very critical operation from disease diagnosis perspective, directly in the JPEG compressed domain is demonstrated.

Link DOI
Conference

Face Recognition using 3D CNNs

Nayaneesh Kumar Mishra and Satish Kumar Singh

International Conference on Machine Learning, Image Processing, Network Security and Data Sciences · 2019

PDF Link arXiv DOI

2018

Journal Elsevier IF 3.5 Open Access

Centre symmetric quadruple pattern: A novel descriptor for facial image recognition and retrieval

Soumendu Chakraborty, Satish Kumar Singh, and Pavan Chakraborty

Pattern Recognition Letters · 2018

Brief A hand-crafted descriptor namely Centre Symmetric Quadruple Pattern (CSQP), which is structurally symmetric and encodes the facial asymmetry in quadruple space is proposed, which efficiently encodes larger neighborhood with optimal number of binary bits.

PDF Link arXiv DOI
Journal IEEE IF 10.8

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

Soumendu Chakraborty, Satish Kumar Singh, and Pavan Chakraborty

IEEE Transactions on Circuits and Systems for Video Technology · 2018

Brief A local gradient hexa pattern is proposed that identifies the relationship among the reference pixel and its neighboring pixels at different distances across different derivative directions, effectively transforming these relationships into binary micropatterns discriminating inter-class facial images with optimal precision.

PDF Link arXiv DOI
Conference IEEE

A Comparative Analysis on the Performance of Different Handcrafted Descriptors Over Thermal and Low Resolution Visible Image Dataset

Sumit Kumar and Satish Kumar Singh

5th IEEE UP Section Conference on Electrical, Computer and Electronics (UPCON) · 2018

Link DOI
Conference

Histopathological Image Classification: Defying Deep Learning Architectures on Complex Data

Suvidha Tripathi and Satish Kumar Singh

Recent Trends in Image Processing and Pattern Recognition Conference · 2018

Brief This work has taken up the task of classifying different types of cell nuclei in histopathological Colon Cancer Images and aims to show the relevance and effect of a complex Histopathological dataset on the performance of current deep learning architectures.

Link DOI
Conference IEEE

An Improved SVD based Image Compression

Kapil Mishra, Satish Kumar Singh, and P. Nagabhushan

2nd IEEE Conference on Information and Communication Technology (CICT) · 2018

Link DOI

2017

Journal Springer IF 3.0 (2023)

Soybean Plant Foliar Disease Detection Using Image Retrieval Approaches

Sourabh Shrivastava, Satish Kumar Singh, and Dhara Singh Hooda

Multimedia Tools and Applications · 2017

Brief This research helps to identify the infected lesion pattern which is fully automated and does not require human intervention at any stage and presents an efficient method for soybean disease retrieval and classification method using background subtraction.

Link DOI
Journal Elsevier IF 2.8

Local SVD Based NIR Face Retrieval

Shiv Ram Dubey, Satish Kumar Singh, and Rajat Kumar Singh

Journal of Visual Communication and Image Representation · 2017

Brief The experimental results confirm the superiority of using S sub-band of SVD in terms of performance of the local descriptors over NIR face databases.

PDF Link Poster DOI
Journal Elsevier IF 5.5

Local quadruple pattern: A novel descriptor for facial image recognition and retrieval

Soumendu Chakraborty, Satish Kumar Singh, and Pavan Chakraborty

Computers & Electrical Engineering · 2017

Brief A novel hand-crafted local quadruple pattern (LQPAT) is proposed for facial image recognition and retrieval, which explores circular asymmetry of a facial image through an efficient encoding structure with optimal feature length.

PDF Link arXiv DOI
Journal Springer IF 3.0 (2023) Open Access

Local Directional Gradient Pattern: A Local Descriptor for Face Recognition

Soumendu Chakraborty, Satish Kumar Singh, and Pavan Chakraborty

Multimedia Tools and Applications · 2017

PDF Link arXiv DOI
Conference

A Novel Variable Block-Size Image Compression Based on Edge Detection

T. Y. Reddy and Satish Kumar Singh

Conference on Information and Communication Technology (CICT) · 2017

DOI

2016

Journal IEEE IF 15.3

Multichannel Decoded Local Binary Patterns for Content Based Image Retrieval

Shiv Ram Dubey, Satish Kumar Singh, and Rajat Kumar Singh

IEEE Transactions on Image Processing · 2016

PDF Link Poster DOI
Journal IEEE IF 7.7

Local Bit-plane Decoded Pattern: A Novel Feature Descriptor for Biomedical Image Retrieval

Shiv Ram Dubey, Satish Kumar Singh, and Rajat Kumar Singh

IEEE Journal of Biomedical and Health Informatics · 2016

PDF Link Poster DOI
Journal IET IF 1.0

Novel Local Bit-plane Dissimilarity Pattern for Computed Tomography Image Retrieval

Shiv Ram Dubey, Satish Kumar Singh, and Rajat Kumar Singh

IET Electronics Letters · 2016

Brief A novel image descriptor using local bit-plane dissimilarity pattern (LBDISP) is introduced and a retrieval experiment over NEMA-CT database confirms the superiority and efficiency of the LBD ISP descriptor.

PDF Link Poster DOI
Journal IF 2.9 Open Access

Human Activity Recognition in Real-Times Environments using Skeleton Joints

Ajay Kumar, Satish Kumar Singh, and Rahul Kala

Int. J. Interact. Multim. Artif. Intell. · 2016

Brief The proposed system is more useful than comparing to other existing system, therefore the model is best suitable for real-time application such as in video games for player action/gesture recognition.

DOI PDF
Conference IEEE

Routine Colon Cancer Detection using Local Image Descriptors

Suvidha Tripathi, Salini Mishra, and Satish Kumar Singh

IEEE R10 Conference (TENCON) · 2016

Link DOI

2015

Journal IEEE IF 15.3

Local Wavelet Pattern: A New Feature Descriptor for Image Retrieval in Medical CT Databases

Shiv Ram Dubey, Satish Kumar Singh, and Rajat Kumar Singh

IEEE Transactions on Image Processing · 2015

PDF Link Poster DOI
Journal Springer IF 3.0 (2023)

A multi-channel based illumination compensation mechanism for brightness invariant image retrieval

Shiv Ram Dubey, Satish Kumar Singh, and Rajat Kumar Singh

Multimedia Tools and Applications · 2015

Brief The experimental results suggest that proposed brightness invariant color transformation can be applied effectively in the retrieval task.

PDF Link Poster DOI
Journal Springer IF 3.0 (2023)

Color sensing and image processing-based automatic soybean plant foliar disease severity detection and estimation

Sourabh Shrivastava, Satish Kumar Singh, and Dhara Singh Hooda

Multimedia Tools and Applications · 2015

Link DOI
Journal IEEE IF 3.6

Local Diagonal Extrema Pattern: A new and Efficient Feature Descriptor for CT Image Retrieval

Shiv Ram Dubey, Satish Kumar Singh, and Rajat Kumar Singh

IEEE Signal Processing Letters · 2015

PDF Link Poster DOI
Journal Elsevier IF 5.5 Open Access

Rotation and scale invariant hybrid image descriptor and retrieval

Shiv Ram Dubey, Satish Kumar Singh, and Rajat Kumar Singh

Computers & Electrical Engineering · 2015

Brief An efficient approach is presented to encode the color and textural features of images from the local neighborhood of each pixel to construct the inherently rotation and scale-invariant hybrid image descriptor (RSHD).

PDF Link Poster DOI
Journal IET IF 2.4 Open Access

Local neighbourhood-based robust colour occurrence descriptor for colour image retrieval

Shiv Ram Dubey, Satish Kumar Singh, and Rajat Kumar Singh

IET Image Processing · 2015

Brief The proposed local neighbourhood-based robust colour occurrence descriptor (LCOD) is promising in the case of illumination difference, rotation and scaling also and it can be effectively used for accurate image retrieval under various image transformations.

PDF Link Poster DOI
Journal Elsevier IF 9.4

Identity verification using shape and geometry of human hands

Shefali Sharma, Shiv Ram Dubey, Satish Kumar Singh, Rajiv Saxena, and Rajat Kumar Singh

Expert Systems with Applications · 2015

Brief A multimodal biometric system for personal identity verification is proposed using hand shape and hand geometry in this paper and outperforms other approaches with the best 0.31% of EER.

PDF Link Poster DOI
Conference IEEE

Performance Enhancement of Local Vector Pattern with Generalized Distance Local Binary Pattern for Face Recognition

Soumendu Chakraborty, Satish Kumar Singh, and Pavan Chakraborty

IEEE UP Section Conference on Electrical, Computer and Electronics (UPCON) · 2015

Link DOI
Conference IEEE

Boosting Local Binary Pattern with Bag-of-Filters for Content Based Image Retrieval

Shiv Ram Dubey, Satish Kumar Singh, and Rajat Kumar Singh

IEEE UP Section Conference on Electrical, Computer and Electronics (UPCON) · 2015

PDF Link Poster DOI

2014

Journal IEEE IF 15.3

Rotation and Illumination Invariant Interleaved Intensity Order-Based Local Descriptor

Shiv Ram Dubey, Satish Kumar Singh, and Rajat Kumar Singh

IEEE Transactions on Image Processing · 2014

PDF Link Poster DOI
Journal Springer IF 3.0 (2023)

A robust logo watermarking technique in divisive normalization transform domain

Punit Pandey, Shishir Kumar, and Satish Kumar Singh

Multimedia Tools and Applications · 2014

Brief The proposed watermarking algorithm is a semi-blind, image adaptive due to use of divisive normalization transform and suitable for rightful ownership and various comparative results make the algorithm superior in terms of intentional and non-intentional attacks.

Link DOI
Journal Springer IF 3.0 (2023)

Rightful ownership through image adaptive DWT-SVD watermarking algorithm and perceptual tweaking

Punit Pandey, Shishir Kumar, and Satish Kumar Singh

Multimedia Tools and Applications · 2014

Brief The proposed watermarking algorithm is a kind of non-blind, image adaptive and suitable for rightful ownership, which is superior in terms of intentional and non-intentional attacks and strong against the print and scan attack.

Link DOI
Journal Open Access

Statistical Texture and Normalized Discrete Cosine Transform based Automatic Soya Plant Foliar Infection Cataloguing

Sourabh Shrivastava, Satish Kumar Singh, and Dhara Singh Hooda

British Journal of Mathematics and Computer Sciences · 2014

Link DOI PDF

2013

Journal Springer IF 2.5 Open Access

A semi automated statistical algorithm for object separation

Madhur Srivastava, Satish Kumar Singh, and Prasanta K. Panigrahi

Circuit System and Signal Processing · 2013

Brief A semi-automated statistical algorithm that incorporates the sensitivity of the human eye to the gray pixel values into the variable threshold size, while mapping the Gaussian distributions into localized δ-functions, for object separation is explicate.

PDF Link DOI arXiv

2011

Journal Elsevier IF 2.1

Novel adaptive color space transform and application to image compression

Satish Kumar Singh and Shishir Kumar

Signal Processing: Image Communication · 2011

Brief An image dependent color space transform (ID-CCT), exploiting the inter-channel redundancy optimally and which is very much suitable for compression has been proposed and the comparative performance has been evaluated and a significant improvement has been observed.

Link DOI
Journal UPM Press IF 1.1

Singular Value Decomposition Based Subband Decomposition and Multiresolution (SVD-SBD-MRR) Representation of Digital Color Images

Satish Kumar Singh and Shishir Kumar

Pertanika Int. J. of Science and Technology · 2011

Link
Conference IEEE Open Access

Multisegmentation through Wavelets: Comparing the Efficacy of Daubechies vs Coiflet

Madhur Srivastava, Yashwant Yashu, and Satish Kumar Singh

IEEE conference on Signal Processing and Real Time Operating System (SPRTOS-2011) · 2011

PDF Link DOI

2010

Journal IF 0.4 Open Access

Mathematical Transforms and Image Compression: A Review

Satish Kumar Singh and Shishir Kumar

Maejo Int. J. of Science and Technology · 2010

Journal Taylor & Francis IF 1.5

MACSE-CCT (Minimum Average Color Space Entropy-Color Component Transform) Based Color Image Compression

Satish Kumar Singh, Shishir Kumar and Rajiv Saxena

Int. J. of Image and Data Fusion · 2010

Brief The MACSE-CCT along with JPEG coding shows around 1.5 dB improvement in peak signal to noise ratio for very low bit-rates and is found better for very high spatial frequency images from the point of view of visual perception.

Link DOI
Conference IEEE

Compression Resistant Multichannel Color Image Watermarking

Dhruv Gakkhar, Shikhar Samant, Varun Sharma, and Satish Kumar Singh

IEEE conference on Signal and Image Processing (ICSIP-2010) · 2010

Link DOI
Conference IEEE

Study and Implementation of Entropy Encoding System for Image compression

Shishir Kumar and Satish Kumar Singh

3rd IEEE conference on emerging trends in engineering and technology (ICETET-2010) · 2010

Link DOI
Conference

Performance Analysis of Color Space Transform on Digital Color Image Compression

Satish Kumar Singh and Shishir Kumar

International Conference on Computational Vision and Robotics (ICCVR-2010) · 2010

2009

Journal World Scientific IF 1.0

Improved Image Compression Based on Feed-Forward Adaptive Downsampling Algorithm

Satish Kumar Singh and Shishir Kumar

Int. J. Image and Graphics · 2009

Brief An attempt has been made to design an improved image compression system based on the feed forward adaptive downsampling algorithm considering the visual significance of the image.

Link DOI
Journal IJCSNS

Colour Space Entropy Based Lossy and Lossless Colour Image Compression System

Satish Kumar Singh, A. Agarwal, D. Agarwal, A. Gambhir, and Shishir Kumar

Int. J. IJCSNS · 2009

Journal IMS

A Framework for Designing Digital Watermarking Schemes in Different Domains: A Review

Satish Kumar Singh, A. Chandra, and Shishir Kumar

Int. J. Pragyaan: Information Technology · 2009

Conference IEEE

Wavelet Based Robust Digital Watermarking Technique Using Reverse Additive Algorithm (RAA)

Satish Kumar Singh, Shishir Kumar, M. Srivastava, A. Chandra, and S. Srivastava

3rd IEEE European Symposium on Computer Modeling and Simulation (EMS-2009) · 2009

Link DOI
Conference IEEE

A Framework to Design Novel SVD Based Color Image Compression

Satish Kumar Singh and Shishir Kumar

3rd IEEE European Symposium on Computer Modeling and Simulation (EMS-2009) · 2009

Link DOI

2008

Conference

Safer Navigation of Ships by Image Processing & Neural Network

Gaurav Kumar Santhalia, Sanatya Singh, and Satish Kumar Singh

Asia International Conference on Modelling and Simulation · 2008

DOI

2007

Conference

A Framework for Efficient Video Delivery in CDNS

Shishir Kumar, S. K. Verma, and Satish Kumar Singh

International Conference on Information & Communication Technology (IICT-2007) · 2007

Conference IEEE

A modified framework of a Clustering Algorithm for Image Processing Applications

Satish Kumar Singh, Shishir Kumar, G. S. Tomar, Ravi Kumar, and Gaurav Santhalia

IEEE Conference on Modeling & Simulation (AMS 2007) · 2007

Link DOI
Conference Springer

Command Charging Circuit with Energy Recovery for Pulsed power Supply for Copper Vapor Laser

Satish Kumar Singh, Shishir Kumar, and S. V. Nakhe

Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications · 2007

Link DOI
Book Springer

Command Charging Circuit with Energy Recovery for Pulsed Power Supply for Copper Vapor Laser

Satish Kumar Singh, Shishir Kumar, and S. V. Nakhe

Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications · 2007

Link DOI

2006

Conference IEEE

Command Charging Circuit with Energy Recovery for Pulsed Power Supply of Copper Vapor Laser

Satish Kumar Singh, Shishir Kumar, and S. V. Nakhe

IEEE Conference on Industrial Electronics, Technology & Automation (IETA-2006) · 2006

DOI