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ORCIDPratibha Kumari 0001
Person information
- affiliation: University of Regensburg, Faculty of Informatics and Data Science, Regensburg, Germany
- affiliation: Indian Institute of Technology Ropar, Ropar, India
Other persons with the same name
- Pratibha Kumari 0002
![[0000-0002-6696-9514]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6696-9514")
— Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland - Pratibha Kumari 0003 — University of North Texas Health Science Center, Fort Worth, TX, USA
- Pratibha Kumari 0004 — Synopsys, Ottawa, Canada
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2020 – today
- 2024
[j3]Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini:
Multimedia datasets for anomaly detection: a review. Multim. Tools Appl. 83(19): 56785-56835 (2024)- [j2]Pratibha Kumari, Priyankar Choudhary, Vinit Kujur, Pradeep K. Atrey, Mukesh Saini:
Concept drift challenge in multimedia anomaly detection: A case study with facial datasets. Signal Process. Image Commun. 123: 117100 (2024) - [c8]Pratibha Kumari, Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof:
Continual Domain Incremental Learning for Privacy-Aware Digital Pathology. MICCAI (12) 2024: 34-44 - [i7]Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof:
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation. CoRR abs/2404.05102 (2024) - [i6]Ruchi Bhatt, Pratibha Kumari, Dwarikanath Mahapatra, Abdulmotaleb El-Saddik, Mukesh Saini:
Characterizing Continual Learning Scenarios and Strategies for Audio Analysis. CoRR abs/2407.00465 (2024) - [i5]Pratibha Kumari, Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof:
Continual Domain Incremental Learning for Privacy-aware Digital Pathology. CoRR abs/2409.06455 (2024) - 2023
- [i4]Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Reza Azad, Dorit Merhof:
Continual Learning in Medical Imaging Analysis: A Comprehensive Review of Recent Advancements and Future Prospects. CoRR abs/2312.17004 (2023) - 2022
- [j1]Pratibha Kumari, Mukesh Saini:
An Adaptive Framework for Anomaly Detection in Time-Series Audio-Visual Data. IEEE Access 10: 36188-36199 (2022) - [c7]Priyankar Choudhary, Pratibha Kumari, Neeraj Goel, Mukesh Saini:
Low-Intensity Human Activity Recognition Framework Using Audio Data in an Outdoor Environment. CVIP (2) 2022: 646-658 - [d1]Priyankar Choudhary, Pratibha Kumari:
An audio-seismic dataset for human activity recognition. IEEE DataPort, 2022
- [i3]Pratibha Kumari, Priyankar Choudhary, Pradeep K. Atrey, Mukesh Saini:
Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets. CoRR abs/2207.13430 (2022) - 2021
- [c6]Pratibha Kumari, Anmol Kumar, Min-Chun Hu, Mukesh Saini:
Automatic Double Contact Fault Detection in Outdoor Volleyball Videos. CVIP (2) 2021: 122-134 - [c5]Pratibha Kumari:
Situational Anomaly Detection in Multimedia Data under Concept Drift. ACM Multimedia 2021: 2969-2973 - [i2]Pratibha Kumari, Mukesh Saini:
Anomaly Detection in Audio with Concept Drift using Adaptive Huffman Coding. CoRR abs/2102.10515 (2021) - [i1]Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini:
Multimedia Datasets for Anomaly Detection: A Survey. CoRR abs/2112.05410 (2021) - 2020
- [c4]Pratibha Kumari, Mukesh Saini:
Multivariate Adaptive Gaussian Mixture for Scene Level Anomaly Modeling. BigMM 2020: 54-62 - [c3]Pratibha Kumari, Nikhil Nandyala, Allu Krishna Sai Teja, Neeraj Goel, Mukesh Saini:
Dynamic Scheduling of an Autonomous PTZ Camera for Effective Surveillance. MASS 2020: 437-445
2010 – 2019
- 2019
- [c2]Pratibha Kumari, Prakhar Jain, Swarna Sahay, Gan Tian, Mukesh Saini:
ALPS 1.0: Towards Automated Lecture Profiling System. ICME Workshops 2019: 318-323 - 2018
- [c1]Pratibha Kumari, Mandhatya Singh, Mukesh Saini:
Multimodal Drunk Density Estimation for Safety Assessment. AVSS 2018: 1-6
Coauthor Index
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