Pratibha Kumari

27 papers A* 2B 2Journal 16Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Footprint-Guided Exemplar-Free Continual Histopathology Report Generation. CoRR Pratibha Kumari, Daniel Reisenbüchler, Afshin Bozorgpour, Yousef Sadegheih, Priyankar Choudhary, Dorit Merhof
2026	J	`jnl`	SpinVision: An end-to-end volleyball spin estimation with Siamese-based deep classification. Comput. Vis. Image Underst. Shreya Bansal, Anterpreet Kaur Bedi, Pratibha Kumari, Rishi Kumar Soni, Narayanan C. Krishnan, Mukesh Saini
2025	J	`jnl`	Attention-based Generative Latent Replay: A Continual Learning Approach for WSI Analysis. CoRR Pratibha Kumari, Daniel Reisenbüchler, Afshin Bozorgpour, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof
2025	J	`jnl`	Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects. Medical Image Anal. Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Boqiang Huang, Reza Azad, Dorit Merhof
2025	J	`jnl`	Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning. CoRR Pratibha Kumari, Afshin Bozorgpour, Daniel Reisenbüchler, Edgar Jost, Martina Crysandt, Christian Matek, Dorit Merhof
2025	—	`conf`	LHU-Net: A Lean Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Segmentation. MICCAI (14) Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof
2025	—	`conf`	Modality-Agnostic Brain Lesion Segmentation with Privacy-Aware Continual Learning. PRIME@MICCAI Yousef Sadegheih, Pratibha Kumari, Dorit Merhof
2024	J	`jnl`	Characterizing Continual Learning Scenarios and Strategies for Audio Analysis. CoRR Ruchi Bhatt, Pratibha Kumari, Dwarikanath Mahapatra, Abdulmotaleb El Saddik, Mukesh Saini
2024	J	`jnl`	Concept drift challenge in multimedia anomaly detection: A case study with facial datasets. Signal Process. Image Commun. Pratibha Kumari, Priyankar Choudhary, Vinit Kujur, Pradeep K. Atrey, Mukesh Saini
2024	—	`conf`	Continual Domain Incremental Learning for Privacy-Aware Digital Pathology. MICCAI (12) Pratibha Kumari, Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof
2024	J	`jnl`	Continual Domain Incremental Learning for Privacy-aware Digital Pathology. CoRR Pratibha Kumari, Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof
2024	J	`jnl`	LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation. CoRR Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof
2024	J	`jnl`	Multimedia datasets for anomaly detection: a review. Multim. Tools Appl. Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini
2024	A*	`conf`	Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 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
2024	J	`jnl`	Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? CoRR 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
2023	J	`jnl`	Continual Learning in Medical Imaging Analysis: A Comprehensive Review of Recent Advancements and Future Prospects. CoRR Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Reza Azad, Dorit Merhof
2022	J	`jnl`	An Adaptive Framework for Anomaly Detection in Time-Series Audio-Visual Data. IEEE Access Pratibha Kumari, Mukesh Saini
2022	J	`jnl`	Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets. CoRR Pratibha Kumari, Priyankar Choudhary, Pradeep K. Atrey, Mukesh Saini
2022	—	`conf`	Low-Intensity Human Activity Recognition Framework Using Audio Data in an Outdoor Environment. CVIP (2) Priyankar Choudhary, Pratibha Kumari, Neeraj Goel, Mukesh Saini
2021	J	`jnl`	Anomaly Detection in Audio with Concept Drift using Adaptive Huffman Coding. CoRR Pratibha Kumari, Mukesh Saini
2021	—	`conf`	Automatic Double Contact Fault Detection in Outdoor Volleyball Videos. CVIP (2) Pratibha Kumari, Anmol Kumar, Min-Chun Hu, Mukesh Saini
2021	J	`jnl`	Multimedia Datasets for Anomaly Detection: A Survey. CoRR Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini
2021	A*	`conf`	Situational Anomaly Detection in Multimedia Data under Concept Drift. ACM Multimedia Pratibha Kumari
2020	B	`conf`	Dynamic Scheduling of an Autonomous PTZ Camera for Effective Surveillance. MASS Pratibha Kumari, Nikhil Nandyala, Allu Krishna Sai Teja, Neeraj Goel, Mukesh Saini
2020	—	`conf`	Multivariate Adaptive Gaussian Mixture for Scene Level Anomaly Modeling. BigMM Pratibha Kumari, Mukesh Saini
2019	—	`conf`	ALPS 1.0: Towards Automated Lecture Profiling System. ICME Workshops Pratibha Kumari, Prakhar Jain, Swarna Sahay, Tian Gan, Mukesh Saini
2018	B	`conf`	Multimodal Drunk Density Estimation for Safety Assessment. AVSS Pratibha Kumari, Mandhatya Singh, Mukesh Saini