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2020 – today
- 2024
[j59]Rajeev Srivastava, Meenakshi Sharma:
Intellectual research landscape of neuromarketing: bibliometric network analysis (2004-2021). Int. J. Electron. Bus. 19(2): 209-234 (2024)- [j58]Devendra Sharma, Rajeev Srivastava:
Deep feature based correlation filter for single object tracking in satellite videos. Signal Image Video Process. 18(8-9): 6443-6454 (2024) - [j57]Santosh Kumar Tripathy
, Subodh Srivastava, Divij Bajaj, Rajeev Srivastava:
A Novel cascaded deep architecture with weak-supervision for video crowd counting and density estimation. Soft Comput. 28(13-14): 8319-8335 (2024) - 2023
- [j56]Santosh Kumar Tripathy, Subodh Srivastava, Rajeev Srivastava:
MHAMD-MST-CNN: multiscale head attention guided multiscale density maps fusion for video crowd counting via multi-attention spatial-temporal CNN. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(5): 1777-1790 (2023) - [j55]Roshan Singh, Alok Kumar Singh Kushwaha, Chandni, Rajeev Srivastava:
Recent trends in human activity recognition - A comparative study. Cogn. Syst. Res. 77: 30-44 (2023) - [j54]Santosh Kumar Tripathy, Harsh Kostha, Rajeev Srivastava:
TS-MDA: two-stream multiscale deep architecture for crowd behavior prediction. Multim. Syst. 29(1): 15-31 (2023) - [j53]Ankit Kumar Jaiswal, Rajeev Srivastava:
Fake region identification in an image using deep learning segmentation model. Multim. Tools Appl. 82(25): 38901-38921 (2023) - [j52]Surya Kant Singh, Rajeev Srivastava:
SL-Net: self-learning and mutual attention-based distinguished window for RGBD complex salient object detection. Neural Comput. Appl. 35(1): 595-609 (2023) - 2022
- [j51]Divya Singh, Rajeev Srivastava:
Graph Neural Network with RNNs based trajectory prediction of dynamic agents for autonomous vehicle. Appl. Intell. 52(11): 12801-12816 (2022) - [j50]Divya Singh, Rajeev Srivastava:
Multi-scale graph-transformer network for trajectory prediction of the autonomous vehicles. Intell. Serv. Robotics 15(3): 307-320 (2022) - [j49]Santosh Kumar Tripathy, Repala Sudhamsh, Subodh Srivastava, Rajeev Srivastava:
MuST-POS: multiscale spatial-temporal 3D atrous-net and PCA guided OC-SVM for crowd panic detection. J. Intell. Fuzzy Syst. 42(4): 3501-3516 (2022) - [j48]Divya Singh, Rajeev Srivastava:
Channel spatial attention based single-shot object detector for autonomous vehicles. Multim. Tools Appl. 81(16): 22289-22305 (2022) - [j47]Divya Singh, Rajeev Srivastava:
An end to end trained hybrid CNN model for multi-object tracking. Multim. Tools Appl. 81(29): 42209-42221 (2022) - [j46]Ankit Kumar Jaiswal, Rajeev Srivastava:
Detection of Copy-Move Forgery in Digital Image Using Multi-scale, Multi-stage Deep Learning Model. Neural Process. Lett. 54(1): 75-100 (2022) - [j45]Surya Kant Singh, Rajeev Srivastava:
CSA-Net: Deep Cross-Complementary Self Attention and Modality-Specific Preservation for Saliency Detection. Neural Process. Lett. 54(6): 5587-5613 (2022) - [j44]Niraj Kumar Shukla, Rajeev Srivastava, Seyedali Mirjalili:
A Hybrid Dragonfly Algorithm for Efficiency Optimization of Induction Motors. Sensors 22(7): 2594 (2022) - [j43]Surya Kant Singh, Rajeev Srivastava:
A robust RGBD saliency method with improved probabilistic contrast and the global reference surface. Vis. Comput. 38(3): 797-809 (2022) - [j42]Pratishtha Verma, Rajeev Srivastava:
Two-stage multi-view deep network for 3D human pose reconstruction using images and its 2D joint heatmaps through enhanced stack-hourglass approach. Vis. Comput. 38(7): 2417-2430 (2022) - 2021
- [j41]Roshan Singh, Rajat Khurana, Alok Kumar Singh Kushwaha, Rajeev Srivastava:
A Dual Stream Model for Activity Recognition: Exploiting Residual- CNN with Transfer Learning. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(1): 28-38 (2021) - [j40]Pratishtha Verma, Rajeev Srivastava:
Reconsideration of multi-stage deep network for human pose estimation. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(6): 600-612 (2021) - [j39]Santosh Kumar Tripathy, Rajeev Srivastava:
AMS-CNN: Attentive multi-stream CNN for video-based crowd counting. Int. J. Multim. Inf. Retr. 10(4): 239-254 (2021) - [j38]Gargi Srivastava, Rajeev Srivastava:
Colon tumor localization using three input variants to Faster Region-based Convolutional Neural Network and lazy snapping. Int. J. Imaging Syst. Technol. 31(4): 2123-2135 (2021) - [j37]Ankit Kumar Jaiswal, Rajeev Srivastava:
Forensic image analysis using inconsistent noise pattern. Pattern Anal. Appl. 24(2): 655-667 (2021) - [j36]Gargi Srivastava, Rajeev Srivastava:
Annotation of images using local binary pattern and local derivative pattern after salient object detection using minimum directional contrast and gradient vector flow. Signal Image Video Process. 15(5): 861-869 (2021) - 2020
- [j35]Kuntesh K. Jani, Animesh Anand, Subodh Srivastava, Rajeev Srivastava:
Automatic Abnormality Detection System for Capsule Endoscopy. J. Inf. Sci. Eng. 36(5): 955-966 (2020) - [j34]Pratishtha Verma, Rajeev Srivastava:
Three stage deep network for 3D human pose reconstruction by exploiting spatial and temporal data via its 2D pose. J. Vis. Commun. Image Represent. 71: 102866 (2020) - [j33]Roshan Singh, Ankur Sonawane, Rajeev Srivastava:
Recent evolution of modern datasets for human activity recognition: a deep survey. Multim. Syst. 26(2): 83-106 (2020) - [j32]Roshan Singh, Rajat Khurana, Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Combining CNN streams of dynamic image and depth data for action recognition. Multim. Syst. 26(3): 313-322 (2020) - [j31]Santosh Kumar Tripathy, Rajeev Srivastava:
A real-time two-input stream multi-column multi-stage convolution neural network (TIS-MCMS-CNN) for efficient crowd congestion-level analysis. Multim. Syst. 26(5): 585-605 (2020) - [j30]Pratishtha Verma, Animesh Sah, Rajeev Srivastava:
Deep learning-based multi-modal approach using RGB and skeleton sequences for human activity recognition. Multim. Syst. 26(6): 671-685 (2020) - [j29]Ankit Kumar Jaiswal, Rajeev Srivastava:
A technique for image splicing detection using hybrid feature set. Multim. Tools Appl. 79(17-18): 11837-11860 (2020) - [j28]Gargi Srivastava, Rajeev Srivastava:
An efficient modification of generalized gradient vector flow using directional contrast for salient object detection and intelligent scene analysis. Multim. Tools Appl. 79(19-20): 13599-13619 (2020) - [j27]Surya Kant Singh, Rajeev Srivastava:
A robust salient object detection using edge enhanced global topographical saliency. Multim. Tools Appl. 79(25-26): 17885-17902 (2020) - [j26]Gargi Srivastava, Rajeev Srivastava:
User-interactive salient object detection using YOLOv2, lazy snapping, and gabor filters. Mach. Vis. Appl. 31(3): 17 (2020) - [j25]Ankit Kumar Jaiswal, Rajeev Srivastava:
Time-efficient spliced image analysis using higher-order statistics. Mach. Vis. Appl. 31(7): 56 (2020) - [j24]Gargi Srivastava, Rajeev Srivastava:
Design, Analysis, and Implementation of Efficient Framework for Image Annotation. ACM Trans. Multim. Comput. Commun. Appl. 16(3): 89:1-89:24 (2020)
2010 – 2019
- 2019
- [j23]Gargi Srivastava, Rajeev Srivastava:
Modification of Gradient Vector Flow Using Directional Contrast for Salient Object Detection. IEEE Multim. 26(4): 7-16 (2019) - [j22]Kuntesh K. Jani, Subodh Srivastava, Rajeev Srivastava:
Computer aided diagnosis system for ulcer detection in capsule endoscopy using optimized feature set. J. Intell. Fuzzy Syst. 37(1): 1491-1498 (2019) - [j21]Surya Kant Singh, Rajeev Srivastava:
A Novel Probabilistic Contrast-Based Complex Salient Object Detection. J. Math. Imaging Vis. 61(7): 990-1006 (2019) - [j20]Gargi Srivastava, Rajeev Srivastava:
Salient object detection using background subtraction, Gabor filters, objectness and minimum directional backgroundness. J. Vis. Commun. Image Represent. 62: 330-339 (2019) - [j19]Roshan Singh, Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Multi-view recognition system for human activity based on multiple features for video surveillance system. Multim. Tools Appl. 78(12): 17165-17196 (2019) - [j18]Roshan Singh, Jagwinder Kaur Dhillon, Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Depth based enlarged temporal dimension of 3D deep convolutional network for activity recognition. Multim. Tools Appl. 78(21): 30599-30614 (2019) - [c13]Santosh Kumar Tripathy, Rajeev Srivastava:
An Edge-Based Image Steganography Method Using Modulus-3 Strategy and Comparative Analysis. CVIP (2) 2019: 485-494 - 2018
- [j17]Shivam Garg, Rajeev Srivastava:
Object sequences: encoding categorical and spatial information for a yes/no visual question answering task. IET Comput. Vis. 12(8): 1141-1150 (2018) - [j16]Vibhav Prakash Singh, Rajeev Srivastava:
Effective image retrieval based on hybrid features with weighted similarity measure and query image classification. Int. J. Comput. Vis. Robotics 8(2): 98-121 (2018) - [j15]Vibhav Prakash Singh, Rajeev Srivastava:
Improved image retrieval using fast Colour-texture features with varying weighted similarity measure and random forests. Multim. Tools Appl. 77(11): 14435-14460 (2018) - [c12]Gargi Srivastava, Rajeev Srivastava:
A Survey on Automatic Image Captioning. ICMC 2018: 74-83 - [c11]Vandit Jain, Prakhar Bansal, Abhinav Kumar Singh, Rajeev Srivastava:
Efficient Single Image Super Resolution Using Enhanced Learned Group Convolutions. ICONIP (6) 2018: 466-475 - [i1]Vandit Jain, Prakhar Bansal, Abhinav Kumar Singh, Rajeev Srivastava:
Efficient Single Image Super Resolution using Enhanced Learned Group Convolutions. CoRR abs/1808.08509 (2018) - 2017
- [j14]Rajesh Kumar, Subodh Srivastava, Rajeev Srivastava:
A fourth order PDE based fuzzy c- means approach for segmentation of microscopic biopsy images in presence of Poisson noise for cancer detection. Comput. Methods Programs Biomed. 146: 59-68 (2017) - [j13]Rajesh Kumar, Rajeev Srivastava, Subodh Srivastava:
Microscopic Biopsy Image Segmentation Using Hybrid Color K-Means Approach. Int. J. Comput. Vis. Image Process. 7(1): 79-90 (2017) - [j12]Vibhav Prakash Singh, Rajeev Srivastava:
Content-based mammogram retrieval using wavelet based complete-LBP and K-means clustering for the diagnosis of breast cancer. Int. J. Hybrid Intell. Syst. 14(1-2): 31-39 (2017) - [j11]Vibhav Prakash Singh, Subodh Srivastava, Rajeev Srivastava:
An Efficient Image Retrieval Based on Fusion of Fast Features and Query Image Classification. Int. J. Rough Sets Data Anal. 4(1): 19-37 (2017) - [j10]Alok Kumar Singh Kushwaha, Subodh Srivastava, Rajeev Srivastava:
Multi-view human activity recognition based on silhouette and uniform rotation invariant local binary patterns. Multim. Syst. 23(4): 451-467 (2017) - 2016
- [j9]Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Maritime Object Segmentation Using Dynamic Background Modeling and Shadow Suppression. Comput. J. 59(9): 1303-1329 (2016) - [j8]Nagendra Pratap Singh, Rajeev Srivastava:
Retinal blood vessels segmentation by using Gumbel probability distribution function based matched filter. Comput. Methods Programs Biomed. 129: 40-50 (2016) - [j7]Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Automatic moving object segmentation methods under varying illumination conditions for video data: comparative study, and an improved method. Multim. Tools Appl. 75(23): 16209-16264 (2016) - [c10]Shailendra Tiwari, Rajeev Srivastava, K. V. Arya:
A Nonlinear Modified CONVEF-AD Based Approach for Low-Dose Sinogram Restoration. CVIP (1) 2016: 57-68 - [c9]R. B. Yadav, Subodh Srivastava, Rajeev Srivastava:
Identification and removal of different noise patterns by measuring SNR value in magnetic resonance images. IC3 2016: 1-5 - 2015
- [j6]Arvind Kumar Tiwari, Rajeev Srivastava:
An efficient approach for the prediction of ion channels and their subfamilies. Comput. Biol. Chem. 58: 205-221 (2015) - [j5]Bhavna Srivastava, Rajeev Srivastava, Mahesh Jangid:
A hybrid model for optimum gene selection and classification. Int. J. Medical Eng. Informatics 7(4): 381-405 (2015) - [j4]Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Multiview human activity recognition system based on spatiotemporal template for video surveillance system. J. Electronic Imaging 24(5): 051004 (2015) - [j3]Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Framework for dynamic background modeling and shadow suppression for moving object segmentation in complex wavelet domain. J. Electronic Imaging 24(5): 051005 (2015) - [j2]Alok Kumar Singh Kushwaha, Rajeev Srivastava:
A Framework of Moving Object Segmentation in Maritime Surveillance Inside a Dynamic Background. Trans. Comput. Sci. 25: 35-54 (2015) - [c8]Shailendra Tiwari, Rajeev Srivastava:
An efficient and modified median root prior based framework for PET/SPECT reconstruction algorithm. IC3 2015: 1-6 - [c7]Ishan Agarwal, Alok Kumar Singh Kushwaha, Rajeev Srivastava:
Weighted Fast Dynamic Time Warping based multi-view human activity recognition using a RGB-D sensor. NCVPRIPG 2015: 1-4 - 2014
- [c6]Shailendra Tiwari, Rajeev Srivastava:
A PDE based expectation maximization algorithm adapted to Poisson noise for medical image reconstruction. ISSPIT 2014: 137-142 - 2013
- [j1]Rajeev Srivastava, Subodh Srivastava:
Restoration of Poisson noise corrupted digital images with nonlinear PDE based filters along with the choice of regularization parameter estimation. Pattern Recognit. Lett. 34(10): 1175-1185 (2013) - 2011
- [c5]Ganesh P. Sahu, Rajeev Srivastava:
A Literature Review and Classification of Green Computing Research. AMCIS 2011 - [c4]Rajeev Srivastava:
A complex diffusion based nonlinear filter for speckle reduction from optical coherence tomography (OCT) images. ICCCS 2011: 259-264 - [c3]Vijay Jain, Rajeev Srivastava, Ranjan Kumar, Rahul Upadhyay, Kapil Kant Kamal:
Breaking barrier to technology: e-governance messaging middleware. ICEGOV 2011: 273-276 - 2010
- [c2]Rajeev Srivastava, J. R. P. Gupta:
A PDE-Based Nonlinear Filter Adapted to Rayleigh's Speckle Noise for De-speckling 2D Ultrasound Images. IC3 (1) 2010: 1-12
2000 – 2009
- 2009
- [c1]Rajeev Srivastava, J. R. P. Gupta, Harish Parthasarthy, Subodh Srivastava:
PDE Based Unsharp Masking, Crispening and High Boost Filtering of Digital Images. IC3 2009: 8-13
Coauthor Index
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