Pratibha Kumari

According to our database, Pratibha Kumari authored at least 23 papers between 2018 and 2025.

Collaborative distances:

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

2025

Attention-based Generative Latent Replay: A Continual Learning Approach for WSI Analysis.

Pratibha Kumari, Daniel Reisenbüchler, Afshin Bozorgpour, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof

CoRR, May, 2025

Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning.

Pratibha Kumari, Afshin Bozorgpour, Daniel Reisenbüchler, Edgar Jost, Martina Crysandt, Christian Matek, Dorit Merhof

CoRR, March, 2025

Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects.

Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Boqiang Huang, Reza Azad, Dorit Merhof

Medical Image Anal., 2025

2024

Concept drift challenge in multimedia anomaly detection: A case study with facial datasets.

Pratibha Kumari, Priyankar Choudhary, Vinit Kujur, Pradeep K. Atrey, Mukesh Saini

Signal Process. Image Commun., 2024

Multimedia datasets for anomaly detection: a review.

Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini

Multim. Tools Appl., 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou

CoRR, 2024

Characterizing Continual Learning Scenarios and Strategies for Audio Analysis.

Ruchi Bhatt, Pratibha Kumari, Dwarikanath Mahapatra, Abdulmotaleb El-Saddik, Mukesh Saini

CoRR, 2024

LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation.

Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof

CoRR, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Continual Domain Incremental Learning for Privacy-Aware Digital Pathology.

Pratibha Kumari, Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Continual Learning in Medical Imaging Analysis: A Comprehensive Review of Recent Advancements and Future Prospects.

Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Reza Azad, Dorit Merhof

CoRR, 2023

2022

An audio-seismic dataset for human activity recognition.

Priyankar Choudhary, Pratibha Kumari

Dataset, August, 2022

Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets.

Pratibha Kumari, Priyankar Choudhary, Pradeep K. Atrey, Mukesh Saini

CoRR, 2022

An Adaptive Framework for Anomaly Detection in Time-Series Audio-Visual Data.

Pratibha Kumari, Mukesh Saini

IEEE Access, 2022

Low-Intensity Human Activity Recognition Framework Using Audio Data in an Outdoor Environment.

Priyankar Choudhary, Pratibha Kumari, Neeraj Goel, Mukesh Saini

Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

2021

Multimedia Datasets for Anomaly Detection: A Survey.

Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini

CoRR, 2021

Anomaly Detection in Audio with Concept Drift using Adaptive Huffman Coding.

Pratibha Kumari, Mukesh Saini

CoRR, 2021

Situational Anomaly Detection in Multimedia Data under Concept Drift.

Pratibha Kumari

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Automatic Double Contact Fault Detection in Outdoor Volleyball Videos.

Pratibha Kumari, Anmol Kumar, Min-Chun Hu, Mukesh Saini

Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2020

Dynamic Scheduling of an Autonomous PTZ Camera for Effective Surveillance.

Pratibha Kumari, Nikhil Nandyala, Allu Krishna Sai Teja, Neeraj Goel, Mukesh Saini

Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

Multivariate Adaptive Gaussian Mixture for Scene Level Anomaly Modeling.

Pratibha Kumari, Mukesh Saini

Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

2019

ALPS 1.0: Towards Automated Lecture Profiling System.

Pratibha Kumari, Prakhar Jain, Swarna Sahay, Tian Gan, Mukesh Saini

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

2018

Multimodal Drunk Density Estimation for Safety Assessment.

Pratibha Kumari, Mandhatya Singh, Mukesh Saini

Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018