Pratik Chattopadhyay

Orcid: 0000-0002-5805-6563

According to our database1, Pratik Chattopadhyay authored at least 36 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
A systematic survey on recent deep learning-based approaches to multi-object tracking.
Multim. Tools Appl., April, 2024

Deep pixel regeneration for occlusion reconstruction in person re-identification.
Multim. Tools Appl., January, 2024

Effective plant disease diagnosis using Vision Transformer trained with leafy-generative adversarial network-generated images.
Expert Syst. Appl., 2024

BGaitR-Net: An effective neural model for occlusion reconstruction in gait sequences by exploiting the key pose information.
Expert Syst. Appl., 2024

Spatio-Temporal Attentive Fusion Unit for Effective Video Prediction.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
Temporal feature aggregation with attention for insider threat detection from activity logs.
Expert Syst. Appl., August, 2023

Gait transformation network for gait de-identification with pose preservation.
Signal Image Video Process., July, 2023

A deep learning computational approach for the classification of COVID-19 virus.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

An efficient approach for image de-fencing based on conditional generative adversarial network.
Signal Image Video Process., February, 2023

MotionFormer: An Improved Transformer-Based Architecture for Multi-object Tracking.
Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

2022
A bi-network architecture for occlusion handling in Person re-identification.
Signal Image Video Process., 2022

Gait Cycle Reconstruction and Human Identification from Occluded Sequences.
CoRR, 2022

An Improved Deep Learning Approach For Product Recognition on Racks in Retail Stores.
CoRR, 2022

Gait Recognition from Occluded Sequences in Surveillance Sites.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
A robust and efficient image de-fencing approach using conditional generative adversarial networks.
Signal Image Video Process., 2021

Privacy preservation through facial de-identification with simultaneous emotion preservation.
Signal Image Video Process., 2021

Exploiting pose dynamics for human recognition from their gait signatures.
Multim. Tools Appl., 2021

Person re-identification from appearance cues and deep Siamese features.
J. Vis. Commun. Image Represent., 2021

Gait recognition in the presence of co-variate conditions.
Neurocomputing, 2021

BGaitR-Net: Occluded Gait Sequence reconstructionwith temporally constrained model for gait recognition.
CoRR, 2021

2020
T-MAN: a neural ensemble approach for person re-identification using spatio-temporal information.
Multim. Tools Appl., 2020

Exploiting Temporal Attention Features for Effective Denoising in Videos.
CoRR, 2020

Deep Learning based Person Re-identification.
CoRR, 2020

SMSNet: A Novel Multi-scale Siamese Model for Person Re-Identification.
Proceedings of the 17th International Joint Conference on e-Business and Telecommunications, 2020

2019
RGait-NET: An Effective Network for Recovering Missing Information from Occluded Gait Cycles.
CoRR, 2019

Fully Automated Image De-fencing using Conditional Generative Adversarial Networks.
CoRR, 2019

Broad Neural Network for Change Detection in Aerial Images.
CoRR, 2019

2018
Scenario-Based Insider Threat Detection From Cyber Activities.
IEEE Trans. Comput. Soc. Syst., 2018

2015
Frontal gait recognition from occluded scenes.
Pattern Recognit. Lett., 2015

Information fusion from multiple cameras for gait-based re-identification and recognition.
IET Image Process., 2015

Modelling, synthesis and characterisation of occlusion in videos.
IET Comput. Vis., 2015

Generating Secure Images for CAPTCHAs through Noise Addition.
Proceedings of the 20th ACM Symposium on Access Control Models and Technologies, 2015

2014
Frontal Gait Recognition From Incomplete Sequences Using RGB-D Camera.
IEEE Trans. Inf. Forensics Secur., 2014

Pose Depth Volume extraction from RGB-D streams for frontal gait recognition.
J. Vis. Commun. Image Represent., 2014

Exploiting Pose Information for Gait Recognition from Depth Streams.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
Gait Recognition from Front and Back View Sequences Captured Using Kinect.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013


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