Santosh Kumar Tripathy

Orcid: 0000-0002-1995-2525

According to our database1, Santosh Kumar Tripathy authored at least 14 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
An Assessment Towards 2D and 3D Human Pose Estimation and its Applications to Activity Recognition: A Review.
SN Comput. Sci., 2025

Real-Time Spatial-Temporal Depth Separable CNN for Multi-Functional Crowd Analysis in Videos.
Int. J. Image Graph., 2025

2024
Alzheimer's Disease Detection via Multiscale Feature Modelling Using Improved Spatial Attention Guided Depth Separable CNN.
Int. J. Comput. Intell. Syst., December, 2024

A Novel cascaded deep architecture with weak-supervision for video crowd counting and density estimation.
Soft Comput., July, 2024

Multi-Scale Based Approach for Denoising Real-World Noisy Image Using Curvelet Thresholding: Scope and Beyond.
IEEE Access, 2024

Alzheimer's Disease Detection Through Spatially Attentive Enhanced Low-Mid-High Level Feature Modelling using Deep CNN.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Assessment of a Novel Single-Channel EEG Method for Automated Recognition of Sleep Phases.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023
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., September, 2023

TS-MDA: two-stream multiscale deep architecture for crowd behavior prediction.
Multim. Syst., 2023

FSD: A novel forged document dataset and baseline.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
MuST-POS: multiscale spatial-temporal 3D atrous-net and PCA guided OC-SVM for crowd panic detection.
J. Intell. Fuzzy Syst., 2022

2021
AMS-CNN: Attentive multi-stream CNN for video-based crowd counting.
Int. J. Multim. Inf. Retr., 2021

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

2019
An Edge-Based Image Steganography Method Using Modulus-3 Strategy and Comparative Analysis.
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019


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