PDE Based Unsharp Masking, Crispening and High Boost Filtering of Digital Images. - Rajeev Srivastava; J. R. P. Gupta; Harish Parthasarthy; Subodh Srivastava (IC3, 2009)

A PDE-Based Nonlinear Filter Adapted to Rayleigh's Speckle Noise for De-speckling 2D Ultrasound Images. - Rajeev Srivastava; J. R. P. Gupta (IC3 (1), 2010)

A Literature Review and Classification of Green Computing Research. - Ganesh P. Sahu; Rajeev Srivastava (AMCIS, 2011)

A complex diffusion based nonlinear filter for speckle reduction from optical coherence tomography (OCT) images. - Rajeev Srivastava (ICCCS, 2011)

Breaking barrier to technology: e-governance messaging middleware. - Vijay Jain; Rajeev Srivastava; Ranjan Kumar; Rahul Upadhyay; Kapil Kant Kamal (ICEGOV, 2011)

Restoration of Poisson noise corrupted digital images with nonlinear PDE based filters along with the choice of regularization parameter estimation. - Rajeev Srivastava; Subodh Srivastava (Pattern Recognit. Lett., 2013)

A PDE based expectation maximization algorithm adapted to Poisson noise for medical image reconstruction. - Shailendra Tiwari; Rajeev Srivastava (ISSPIT, 2014)

An efficient and modified median root prior based framework for PET/SPECT reconstruction algorithm. - Shailendra Tiwari; Rajeev Srivastava (IC3, 2015)

Weighted Fast Dynamic Time Warping based multi-view human activity recognition using a RGB-D sensor. - Ishan Agarwal; Alok Kumar Singh Kushwaha; Rajeev Srivastava (NCVPRIPG, 2015)

An efficient approach for the prediction of ion channels and their subfamilies. - Arvind Kumar Tiwari; Rajeev Srivastava (Comput. Biol. Chem., 2015)

A hybrid model for optimum gene selection and classification. - Bhavna Srivastava; Rajeev Srivastava; Mahesh Jangid (Int. J. Medical Eng. Informatics, 2015)

Multiview human activity recognition system based on spatiotemporal template for video surveillance system. - Alok Kumar Singh Kushwaha; Rajeev Srivastava (J. Electronic Imaging, 2015)

Framework for dynamic background modeling and shadow suppression for moving object segmentation in complex wavelet domain. - Alok Kumar Singh Kushwaha; Rajeev Srivastava (J. Electronic Imaging, 2015)

A Framework of Moving Object Segmentation in Maritime Surveillance Inside a Dynamic Background. - Alok Kumar Singh Kushwaha; Rajeev Srivastava (Trans. Comput. Sci., 2015)

A Nonlinear Modified CONVEF-AD Based Approach for Low-Dose Sinogram Restoration. - Shailendra Tiwari; Rajeev Srivastava; K. V. Arya (CVIP (1), 2016)

Identification and removal of different noise patterns by measuring SNR value in magnetic resonance images. - R. B. Yadav; Subodh Srivastava; Rajeev Srivastava (IC3, 2016)

Maritime Object Segmentation Using Dynamic Background Modeling and Shadow Suppression. - Alok Kumar Singh Kushwaha; Rajeev Srivastava (Comput. J., 2016)

Retinal blood vessels segmentation by using Gumbel probability distribution function based matched filter. - Nagendra Pratap Singh; Rajeev Srivastava (Comput. Methods Programs Biomed., 2016)

Automatic moving object segmentation methods under varying illumination conditions for video data: comparative study, and an improved method. - Alok Kumar Singh Kushwaha; Rajeev Srivastava (Multim. Tools Appl., 2016)

A fourth order PDE based fuzzy c- means approach for segmentation of microscopic biopsy images in presence of Poisson noise for cancer detection. - Rajesh Kumar; Subodh Srivastava; Rajeev Srivastava (Comput. Methods Programs Biomed., 2017)

Microscopic Biopsy Image Segmentation Using Hybrid Color K-Means Approach. - Rajesh Kumar; Rajeev Srivastava; Subodh Srivastava (Int. J. Comput. Vis. Image Process., 2017)

Content-based mammogram retrieval using wavelet based complete-LBP and K-means clustering for the diagnosis of breast cancer. - Vibhav Prakash Singh; Rajeev Srivastava (Int. J. Hybrid Intell. Syst., 2017)

An Efficient Image Retrieval Based on Fusion of Fast Features and Query Image Classification. - Vibhav Prakash Singh; Subodh Srivastava; Rajeev Srivastava (Int. J. Rough Sets Data Anal., 2017)

Multi-view human activity recognition based on silhouette and uniform rotation invariant local binary patterns. - Alok Kumar Singh Kushwaha; Subodh Srivastava; Rajeev Srivastava (Multim. Syst., 2017)

A Survey on Automatic Image Captioning. - Gargi Srivastava; Rajeev Srivastava (ICMC, 2018)

Efficient Single Image Super Resolution Using Enhanced Learned Group Convolutions. - Vandit Jain; Prakhar Bansal; Abhinav Kumar Singh; Rajeev Srivastava (ICONIP (6), 2018)

Object sequences: encoding categorical and spatial information for a yes/no visual question answering task. - Shivam Garg 003; Rajeev Srivastava (IET Comput. Vis., 2018)

Effective image retrieval based on hybrid features with weighted similarity measure and query image classification. - Vibhav Prakash Singh; Rajeev Srivastava (Int. J. Comput. Vis. Robotics, 2018)

Improved image retrieval using fast Colour-texture features with varying weighted similarity measure and random forests. - Vibhav Prakash Singh; Rajeev Srivastava (Multim. Tools Appl., 2018)

An Edge-Based Image Steganography Method Using Modulus-3 Strategy and Comparative Analysis. - Santosh Kumar Tripathy; Rajeev Srivastava (CVIP (2), 2019)

Modification of Gradient Vector Flow Using Directional Contrast for Salient Object Detection. - Gargi Srivastava; Rajeev Srivastava (IEEE Multim., 2019)

Computer aided diagnosis system for ulcer detection in capsule endoscopy using optimized feature set. - Kuntesh K. Jani; Subodh Srivastava; Rajeev Srivastava (J. Intell. Fuzzy Syst., 2019)

A Novel Probabilistic Contrast-Based Complex Salient Object Detection. - Surya Kant Singh; Rajeev Srivastava (J. Math. Imaging Vis., 2019)

Salient object detection using background subtraction, Gabor filters, objectness and minimum directional backgroundness. - Gargi Srivastava; Rajeev Srivastava (J. Vis. Commun. Image Represent., 2019)

Depth based enlarged temporal dimension of 3D deep convolutional network for activity recognition. - Roshan Singh; Jagwinder Kaur Dhillon; Alok Kumar Singh Kushwaha; Rajeev Srivastava (Multim. Tools Appl., 2019)

Multi-view recognition system for human activity based on multiple features for video surveillance system. - Roshan Singh; Alok Kumar Singh Kushwaha; Rajeev Srivastava (Multim. Tools Appl., 2019)

Automatic Abnormality Detection System for Capsule Endoscopy. - Kuntesh K. Jani; Animesh Anand; Subodh Srivastava; Rajeev Srivastava (J. Inf. Sci. Eng., 2020)

Three stage deep network for 3D human pose reconstruction by exploiting spatial and temporal data via its 2D pose. - Pratishtha Verma; Rajeev Srivastava (J. Vis. Commun. Image Represent., 2020)

Combining CNN streams of dynamic image and depth data for action recognition. - Roshan Singh; Rajat Khurana; Alok Kumar Singh Kushwaha; Rajeev Srivastava (Multim. Syst., 2020)

Recent evolution of modern datasets for human activity recognition: a deep survey. - Roshan Singh; Ankur Sonawane; Rajeev Srivastava (Multim. Syst., 2020)

A real-time two-input stream multi-column multi-stage convolution neural network (TIS-MCMS-CNN) for efficient crowd congestion-level analysis. - Santosh Kumar Tripathy; Rajeev Srivastava (Multim. Syst., 2020)

Deep learning-based multi-modal approach using RGB and skeleton sequences for human activity recognition. - Pratishtha Verma; Animesh Sah; Rajeev Srivastava (Multim. Syst., 2020)

A technique for image splicing detection using hybrid feature set. - Ankit Kumar Jaiswal; Rajeev Srivastava (Multim. Tools Appl., 2020)

A robust salient object detection using edge enhanced global topographical saliency. - Surya Kant Singh; Rajeev Srivastava (Multim. Tools Appl., 2020)

An efficient modification of generalized gradient vector flow using directional contrast for salient object detection and intelligent scene analysis. - Gargi Srivastava; Rajeev Srivastava (Multim. Tools Appl., 2020)

Time-efficient spliced image analysis using higher-order statistics. - Ankit Kumar Jaiswal; Rajeev Srivastava (Mach. Vis. Appl., 2020)

User-interactive salient object detection using YOLOv2, lazy snapping, and gabor filters. - Gargi Srivastava; Rajeev Srivastava (Mach. Vis. Appl., 2020)

Design, Analysis, and Implementation of Efficient Framework for Image Annotation. - Gargi Srivastava; Rajeev Srivastava (ACM Trans. Multim. Comput. Commun. Appl., 2020)

A Dual Stream Model for Activity Recognition: Exploiting Residual- CNN with Transfer Learning. - Roshan Singh; Rajat Khurana; Alok Kumar Singh Kushwaha; Rajeev Srivastava (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

Reconsideration of multi-stage deep network for human pose estimation. - Pratishtha Verma; Rajeev Srivastava (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

AMS-CNN: Attentive multi-stream CNN for video-based crowd counting. - Santosh Kumar Tripathy; Rajeev Srivastava (Int. J. Multim. Inf. Retr., 2021)

Colon tumor localization using three input variants to Faster Region-based Convolutional Neural Network and lazy snapping. - Gargi Srivastava; Rajeev Srivastava (Int. J. Imaging Syst. Technol., 2021)

Forensic image analysis using inconsistent noise pattern. - Ankit Kumar Jaiswal; Rajeev Srivastava (Pattern Anal. Appl., 2021)

Annotation of images using local binary pattern and local derivative pattern after salient object detection using minimum directional contrast and gradient vector flow. - Gargi Srivastava; Rajeev Srivastava (Signal Image Video Process., 2021)

Graph Neural Network with RNNs based trajectory prediction of dynamic agents for autonomous vehicle. - Divya Singh 002; Rajeev Srivastava (Appl. Intell., 2022)

Multi-scale graph-transformer network for trajectory prediction of the autonomous vehicles. - Divya Singh 002; Rajeev Srivastava (Intell. Serv. Robotics, 2022)

MuST-POS: multiscale spatial-temporal 3D atrous-net and PCA guided OC-SVM for crowd panic detection. - Santosh Kumar Tripathy; Repala Sudhamsh; Subodh Srivastava; Rajeev Srivastava (J. Intell. Fuzzy Syst., 2022)

Channel spatial attention based single-shot object detector for autonomous vehicles. - Divya Singh 002; Rajeev Srivastava (Multim. Tools Appl., 2022)

An end to end trained hybrid CNN model for multi-object tracking. - Divya Singh 002; Rajeev Srivastava (Multim. Tools Appl., 2022)

Detection of Copy-Move Forgery in Digital Image Using Multi-scale, Multi-stage Deep Learning Model. - Ankit Kumar Jaiswal; Rajeev Srivastava (Neural Process. Lett., 2022)

CSA-Net: Deep Cross-Complementary Self Attention and Modality-Specific Preservation for Saliency Detection. - Surya Kant Singh; Rajeev Srivastava (Neural Process. Lett., 2022)

A Hybrid Dragonfly Algorithm for Efficiency Optimization of Induction Motors. - Niraj Kumar Shukla; Rajeev Srivastava; Seyedali Mirjalili (Sensors, 2022)

A robust RGBD saliency method with improved probabilistic contrast and the global reference surface. - Surya Kant Singh; Rajeev Srivastava (Vis. Comput., 2022)

Two-stage multi-view deep network for 3D human pose reconstruction using images and its 2D joint heatmaps through enhanced stack-hourglass approach. - Pratishtha Verma; Rajeev Srivastava (Vis. Comput., 2022)

Recent trends in human activity recognition - A comparative study. - Roshan Singh; Alok Kumar Singh Kushwaha; Chandni; Rajeev Srivastava (Cogn. Syst. Res., 2023)

TS-MDA: two-stream multiscale deep architecture for crowd behavior prediction. - Santosh Kumar Tripathy; Harsh Kostha; Rajeev Srivastava (Multim. Syst., 2023)

SL-Net: self-learning and mutual attention-based distinguished window for RGBD complex salient object detection. - Surya Kant Singh; Rajeev Srivastava (Neural Comput. Appl., 2023)

MHAMD-MST-CNN: multiscale head attention guided multiscale density maps fusion for video crowd counting via multi-attention spatial-temporal CNN. - Santosh Kumar Tripathy; Subodh Srivastava; Rajeev Srivastava (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Fake region identification in an image using deep learning segmentation model. - Ankit Kumar Jaiswal; Rajeev Srivastava (Multim. Tools Appl., 2023)

Intellectual research landscape of neuromarketing: bibliometric network analysis (2004-2021). - Rajeev Srivastava; Meenakshi Sharma (Int. J. Electron. Bus., 2024)

A Novel cascaded deep architecture with weak-supervision for video crowd counting and density estimation. - Santosh Kumar Tripathy; Subodh Srivastava; Divij Bajaj; Rajeev Srivastava (Soft Comput., 2024)

Deep feature based correlation filter for single object tracking in satellite videos. - Devendra Sharma; Rajeev Srivastava (Signal Image Video Process., 2024)

LG-TriCapsNet: A lightweight graph capsule framework with nearest neighbor graphs for multi-disease EEG classification. - Shraddha Jain; Rajeev Srivastava (Comput. Biol. Medicine, 2025)

Hyperspectral image classification using hybrid convolutional-based cross-patch retentive network. - Rajat Kumar Arya; Rohith Peddi; Rajeev Srivastava (Comput. Vis. Image Underst., 2025)

HSIRMamba: An effective feature learning for hyperspectral image classification using residual Mamba. - Rajat Kumar Arya; Siddhant Jain; Pratik Chattopadhyay; Rajeev Srivastava (Image Vis. Comput., 2025)

Hyperspectral Image Classification Using Gated Adaptable Convolutional-Based Kolmogorov-Arnold Network. - Rajat Kumar Arya; Pratik Chattopadhyay; Rajeev Srivastava (IEEE Geosci. Remote. Sens. Lett., 2025)

An Assessment Towards 2D and 3D Human Pose Estimation and its Applications to Activity Recognition: A Review. - Pratishtha Verma; Rajeev Srivastava; Santosh Kumar Tripathy (SN Comput. Sci., 2025)