Tapas Badal

According to our database, Tapas Badal authored at least 23 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Corrigendum to "A novel framework for diverse video generation from a single video using frame-conditioned denoising diffusion probabilistic model and ConvNeXt-V2" [Image and Vision Computing 154 (2025) 105422].

Ayushi Verma, Tapas Badal, Abhay Bansal

Image Vis. Comput., 2025

A novel framework for diverse video generation from a single video using frame-conditioned denoising diffusion probabilistic model and ConvNeXt-V2.

Ayushi Verma, Tapas Badal, Abhay Bansal

Image Vis. Comput., 2025

2024

Advancing Image Generation with Denoising Diffusion Probabilistic Model and ConvNeXt-V2: A novel approach for enhanced diversity and quality.

Ayushi Verma, Tapas Badal, Abhay Bansal

Comput. Vis. Image Underst., 2024

Prep_Seqnet:An Integrated ANN and Sequential Deep Learning Framework for Rainfall Prediction.

Lalita Chaudhary, Shakti Sharma, Tapas Badal, Kuldeep Chaurasia

Proceedings of the IGARSS 2024, 2024

An Efficient Approach for Pedestrian Detection.

Anugrah Srivastava, Tapas Badal, Ankush Goyal, Advait Naik

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023

Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification.

Tejalal Choudhary, Shubham Gujar, Anurag Goswami, Vipul Mishra, Tapas Badal

Appl. Intell., March, 2023

RoadWay.

Gaurav Singal, Himanshu Singhal, Riti Kushwaha, Venkataramana Veeramsetty, Tapas Badal, Sonu Lamba

Multim. Tools Appl., February, 2023

2022

UAV surveillance for violence detection and individual identification.

Anugrah Srivastava, Tapas Badal, Pawan Saxena, Ankit Vidyarthi, Rishav Singh

Autom. Softw. Eng., 2022

Dynamic Target Monitoring of Load Balancers in Cloud Computing.

Ayushi Verma, Tapas Badal, Indrajeet Gupta

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

2021

Enhanced Network Intrusion Detection System.

Ketan Kotecha, Raghav Verma, Prahalad V. Rao, Priyanshu Prasad, Vipul Kumar Mishra, Tapas Badal, Divyansh Jain, Deepak Garg, Shakti Sharma

Sensors, 2021

Recognizing human violent action using drone surveillance within real-time proximity.

Anugrah Srivastava, Tapas Badal, Apar Garg, Ankit Vidyarthi, Rishav Singh

J. Real Time Image Process., 2021

Real Life Violence Detection in Surveillance Videos using Spatiotemporal Features.

Anugrah Srivastava, Tapas Badal, Rishav Singh

Proceedings of the IC3 2021: Thirteenth International Conference on Contemporary Computing, Noida, India, August 5, 2021

2020

Coinnet: platform independent application to recognize Indian currency notes using deep learning techniques.

Venkataramana Veeramsetty, Gaurav Singal, Tapas Badal

Multim. Tools Appl., 2020

Corridor segmentation for automatic robot navigation in indoor environment using edge devices.

Surbhi Gupta, Sangeeta R, Ravi Shankar Mishra, Gaurav Singal, Tapas Badal, Deepak Garg

Comput. Networks, 2020

BennettNLP at SemEval-2020 Task 8: Multimodal sentiment classification Using Hybrid Hierarchical Classifier.

Ambuje Gupta, Harsh Kataria, Souvik Mishra, Tapas Badal, Vipul Mishra

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

2018

Online multi-object tracking: multiple instance based target appearance model.

Tapas Badal, Neeta Nain, Mushtaq Ahmed

Multim. Tools Appl., 2018

2017

Generalised Spatio Temporal Feature Based Important Activity Synopsis Generation.

Tapas Badal, Neeta Nain, Mushtaq Ahmed

Proceedings of the 13th International Conference on Signal-Image Technology & Internet-Based Systems, 2017

Multi-object trajectory coupling using online target specific decision making.

Tapas Badal, Neeta Nain, Mushtaq Ahmed

Proceedings of the IEEE International Conference on Identity, 2017

2016

Surveillance Video Synopsis While Preserving Object Motion Structure and Interaction.

Tapas Badal, Neeta Nain, Mushtaq Ahmed

Proceedings of International Conference on Computer Vision and Image Processing, 2016

A Redefined Codebook Model for Dynamic Backgrounds.

Vishakha Sharma, Neeta Nain, Tapas Badal

Proceedings of International Conference on Computer Vision and Image Processing, 2016

2015

An Adaptive Codebook Model for Change Detection with Dynamic Background.

Tapas Badal, Neeta Nain, Mushtaq Ahmed, Vishakha Sharma

Proceedings of the 11th International Conference on Signal-Image Technology & Internet-Based Systems, 2015

An improved multi-layer codebook model to eliminate ghost region.

Tapas Badal, Neeta Nain, Mushtaq Ahmed, Vishakha Sharma

Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015

2014

Video partitioning by segmenting moving object trajectories.

Tapas Badal, Neeta Nain, Mushtaq Ahmed

Proceedings of the Seventh International Conference on Machine Vision, 2014