Prof. Rajeev Srivastava

About Prof. Rajeev Srivastava

Prof. Rajeev Srivastava, With an exceptional h-index of 27 and a recent h-index of 22 (since 2020), a distinguished researcher at Indian Institute of Technology, BHU, specializes in the field of Computer Vision, Medical Image Analysis, Machine Learning, Video Surveillance, Digital Forensics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Human resources analytics: where do we go from here?

SL-Net: self-learning and mutual attention-based distinguished window for RGBD complex salient object detection

Exploiting multimodal CNN architecture for automated teeth segmentation on dental panoramic X-ray images

Two-decade journey of green human resource management research: a bibliometric analysis

Smart manufacturing and sustainability: a bibliometric analysis

TS-MDA: two-stream multiscale deep architecture for crowd behavior prediction

MHAMD-MST-CNN: multiscale head attention guided multiscale density maps fusion for video crowd counting via multi-attention spatial-temporal CNN

Source Camera Identification Using Hybrid Feature Set and Machine Learning Classifiers

Prof. Rajeev Srivastava Information

University

Position

Professor of Computer Sc. and Engineering Varanasi UP India

Citations(all)

2636

Citations(since 2020)

2037

Cited By

1196

hIndex(all)

27

hIndex(since 2020)

22

i10Index(all)

74

i10Index(since 2020)

55

Email

University Profile Page

Google Scholar

Prof. Rajeev Srivastava Skills & Research Interests

Computer Vision

Medical Image Analysis

Machine Learning

Video Surveillance

Digital Forensics

Top articles of Prof. Rajeev Srivastava

Title

Journal

Author(s)

Publication Date

Human resources analytics: where do we go from here?

Prakash Chandra Bahuguna

Rajeev Srivastava

Saurabh Tiwari

2024/2/8

SL-Net: self-learning and mutual attention-based distinguished window for RGBD complex salient object detection

Neural Computing and Applications

Surya Kant Singh

Rajeev Srivastava

2023/1

Exploiting multimodal CNN architecture for automated teeth segmentation on dental panoramic X-ray images

Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine

Saurabh Arora

Santosh Kumar Tripathy

Ruchir Gupta

Rajeev Srivastava

2023/3

Two-decade journey of green human resource management research: a bibliometric analysis

Prakash Chandra Bahuguna

Rajeev Srivastava

Saurabh Tiwari

2023/2/14

Smart manufacturing and sustainability: a bibliometric analysis

Saurabh Tiwari

Prakash Chandra Bahuguna

Rajeev Srivastava

2023/12/1

TS-MDA: two-stream multiscale deep architecture for crowd behavior prediction

Multimedia Systems

Santosh Kumar Tripathy

Harsh Kostha

Rajeev Srivastava

2023/2

MHAMD-MST-CNN: multiscale head attention guided multiscale density maps fusion for video crowd counting via multi-attention spatial-temporal CNN

Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Santosh Kumar Tripathy

Subodh Srivastava

Rajeev Srivastava

2023/9/3

Source Camera Identification Using Hybrid Feature Set and Machine Learning Classifiers

Ankit Kumar Jaiswal

Rajeev Srivastava

2023/1/26

Recent trends in human activity recognition–A comparative study

Cognitive Systems Research

Roshan Singh

Alok Kumar Singh Kushwaha

Rajeev Srivastava

2023/1/1

Framework for the restoration of capsule endoscopy images using partial differential equations-based filter

IETE Journal of Research

Kuntesh K Jani

Subodh Srivastava

Rajeev Srivastava

2023/5/19

A complete overview of analytics techniques: descriptive, predictive, and prescriptive

Debashish Roy

Rajeev Srivastava

Mansi Jat

Mustafa Said Karaca

2022

Holistic Features and Deep-Guided Depth-Induced Mutual-Attention-Based Complex Salient Object Detection

Surya Kant Singh

Rajeev Srivastava

2022/4/23

A novel deep architecture for multi-task crowd analysis

Santosh Kumar Tripathy

Rajeev Srivastava

2022/7/8

An end to end trained hybrid CNN model for multi-object tracking

Multimedia Tools and Applications

Divya Singh

Rajeev Srivastava

2022/12

MuST-POS: multiscale spatial-temporal 3D atrous-net and PCA guided OC-SVM for crowd panic detection

Journal of Intelligent & Fuzzy Systems

Santosh Kumar Tripathy

Repala Sudhamsh

Subodh Srivastava

Rajeev Srivastava

2022/1/1

A robust RGBD saliency method with improved probabilistic contrast and the global reference surface

The Visual Computer

Surya Kant Singh

Rajeev Srivastava

2022/3

Basic understanding of medical imaging modalities

Pradeep Kumar

Subodh Srivastava

Rajeev Srivastava

2022/7/7

CSA-net: deep cross-complementary self attention and modality-specific preservation for saliency detection

Neural Processing Letters

Surya Kant Singh

Rajeev Srivastava

2022/12

A Bibliographic Analysis of E-Waste Recycling Research

Rajeev Srivastava

Prakash Chandra Bahuguna

2022

Detection of copy-move forgery in digital image using multi-scale, multi-stage deep learning model

Neural Processing Letters

Ankit Kumar Jaiswal

Rajeev Srivastava

2022/2

See List of Professors in Prof. Rajeev Srivastava University(Indian Institute of Technology, BHU)

Co-Authors

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