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Tapas Badal
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2020 – today
- 2024
- [j9]Ayushi Verma, Tapas Badal, Abhay Bansal:
Advancing Image Generation with Denoising Diffusion Probabilistic Model and ConvNeXt-V2: A novel approach for enhanced diversity and quality. Comput. Vis. Image Underst. 247: 104077 (2024) - [c11]Lalita Chaudhary, Shakti Sharma, Tapas Badal, Kuldeep Chaurasia:
Prep_Seqnet:An Integrated ANN and Sequential Deep Learning Framework for Rainfall Prediction. IGARSS 2024: 5530-5533 - 2023
- [j8]Tejalal Choudhary, Shubham Gujar, Anurag Goswami, Vipul Mishra, Tapas Badal:
Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification. Appl. Intell. 53(6): 7201-7215 (2023) - [j7]Gaurav Singal, Himanshu Singhal, Riti Kushwaha, Venkataramana Veeramsetty, Tapas Badal, Sonu Lamba:
RoadWay. Multim. Tools Appl. 82(4): 4965-4978 (2023) - 2022
- [j6]Anugrah Srivastava, Tapas Badal, Pawan Saxena, Ankit Vidyarthi, Rishav Singh:
UAV surveillance for violence detection and individual identification. Autom. Softw. Eng. 29(1): 28 (2022) - [c10]Ayushi Verma, Tapas Badal, Indrajeet Gupta:
Dynamic Target Monitoring of Load Balancers in Cloud Computing. IC3 2022: 114-119 - 2021
- [j5]Anugrah Srivastava, Tapas Badal, Apar Garg, Ankit Vidyarthi, Rishav Singh:
Recognizing human violent action using drone surveillance within real-time proximity. J. Real Time Image Process. 18(5): 1851-1863 (2021) - [j4]Ketan Kotecha, Raghav Verma, Prahalad V. Rao, Priyanshu Prasad, Vipul Kumar Mishra, Tapas Badal, Divyansh Jain, Deepak Garg, Shakti Sharma:
Enhanced Network Intrusion Detection System. Sensors 21(23): 7835 (2021) - [c9]Anugrah Srivastava, Tapas Badal, Rishav Singh:
Real Life Violence Detection in Surveillance Videos using Spatiotemporal Features. IC3 2021: 262-266 - 2020
- [j3]Surbhi Gupta, Sangeeta R, Ravi Shankar Mishra, Gaurav Singal, Tapas Badal, Deepak Garg:
Corridor segmentation for automatic robot navigation in indoor environment using edge devices. Comput. Networks 178: 107374 (2020) - [j2]Venkataramana Veeramsetty, Gaurav Singal, Tapas Badal:
Coinnet: platform independent application to recognize Indian currency notes using deep learning techniques. Multim. Tools Appl. 79(31-32): 22569-22594 (2020) - [c8]Ambuje Gupta, Harsh Kataria, Souvik Mishra, Tapas Badal, Vipul Mishra:
BennettNLP at SemEval-2020 Task 8: Multimodal sentiment classification Using Hybrid Hierarchical Classifier. SemEval@COLING 2020: 1085-1093
2010 – 2019
- 2018
- [j1]Tapas Badal, Neeta Nain, Mushtaq Ahmed:
Online multi-object tracking: multiple instance based target appearance model. Multim. Tools Appl. 77(19): 25199-25221 (2018) - 2017
- [c7]Tapas Badal, Neeta Nain, Mushtaq Ahmed:
Multi-object trajectory coupling using online target specific decision making. ISBA 2017: 1-6 - [c6]Tapas Badal, Neeta Nain, Mushtaq Ahmed:
Generalised Spatio Temporal Feature Based Important Activity Synopsis Generation. SITIS 2017: 319-326 - 2016
- [c5]Tapas Badal, Neeta Nain, Mushtaq Ahmed:
Surveillance Video Synopsis While Preserving Object Motion Structure and Interaction. CVIP (2) 2016: 197-207 - [c4]Vishakha Sharma, Neeta Nain, Tapas Badal:
A Redefined Codebook Model for Dynamic Backgrounds. CVIP (2) 2016: 463-473 - 2015
- [c3]Tapas Badal, Neeta Nain, Mushtaq Ahmed, Vishakha Sharma:
An improved multi-layer codebook model to eliminate ghost region. NCVPRIPG 2015: 1-4 - [c2]Tapas Badal, Neeta Nain, Mushtaq Ahmed, Vishakha Sharma:
An Adaptive Codebook Model for Change Detection with Dynamic Background. SITIS 2015: 110-116 - 2014
- [c1]Tapas Badal, Neeta Nain, Mushtaq Ahmed:
Video partitioning by segmenting moving object trajectories. ICMV 2014: 94451B
Coauthor Index
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last updated on 2024-09-28 01:30 CEST by the dblp team
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