Multimodal Drunk Density Estimation for Safety Assessment. - Pratibha Kumari 001; Mandhatya Singh; Mukesh Saini (AVSS, 2018)

ALPS 1.0: Towards Automated Lecture Profiling System. - Pratibha Kumari 001; Prakhar Jain; Swarna Sahay; Tian Gan; Mukesh Saini (ICME Workshops, 2019)

Multivariate Adaptive Gaussian Mixture for Scene Level Anomaly Modeling. - Pratibha Kumari 001; Mukesh Saini (BigMM, 2020)

Dynamic Scheduling of an Autonomous PTZ Camera for Effective Surveillance. - Pratibha Kumari 001; Nikhil Nandyala; Allu Krishna Sai Teja; Neeraj Goel; Mukesh Saini (MASS, 2020)

Automatic Double Contact Fault Detection in Outdoor Volleyball Videos. - Pratibha Kumari 001; Anmol Kumar; Min-Chun Hu 001; Mukesh Saini (CVIP (2), 2021)

Situational Anomaly Detection in Multimedia Data under Concept Drift. - Pratibha Kumari 001 (ACM Multimedia, 2021)

Anomaly Detection in Audio with Concept Drift using Adaptive Huffman Coding. - Pratibha Kumari 001; Mukesh Saini (CoRR, 2021)

Multimedia Datasets for Anomaly Detection: A Survey. - Pratibha Kumari 001; Anterpreet Kaur Bedi; Mukesh Saini (CoRR, 2021)

Low-Intensity Human Activity Recognition Framework Using Audio Data in an Outdoor Environment. - Priyankar Choudhary; Pratibha Kumari 001; Neeraj Goel; Mukesh Saini (CVIP (2), 2022)

An Adaptive Framework for Anomaly Detection in Time-Series Audio-Visual Data. - Pratibha Kumari 001; Mukesh Saini (IEEE Access, 2022)

Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets. - Pratibha Kumari 001; Priyankar Choudhary; Pradeep K. Atrey; Mukesh Saini (CoRR, 2022)

An audio-seismic dataset for human activity recognition. - Priyankar Choudhary; Pratibha Kumari 001 (IEEE DataPort, 2022)

Continual Learning in Medical Imaging Analysis: A Comprehensive Review of Recent Advancements and Future Prospects. - Pratibha Kumari 001; Joohi Chauhan; Afshin Bozorgpour; Reza Azad; Dorit Merhof (CoRR, 2023)

Continual Domain Incremental Learning for Privacy-Aware Digital Pathology. - Pratibha Kumari 001; Daniel Reisenbüchler; Lucas Luttner; Nadine S. Schaadt; Friedrich Feuerhake; Dorit Merhof (MICCAI (12), 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 002; Junjun He; et al. (NeurIPS, 2024)

LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation. - Yousef Sadegheih; Afshin Bozorgpour; Pratibha Kumari 001; Reza Azad; Dorit Merhof (CoRR, 2024)

Characterizing Continual Learning Scenarios and Strategies for Audio Analysis. - Ruchi Bhatt; Pratibha Kumari 001; Dwarikanath Mahapatra; Abdulmotaleb El-Saddik; Mukesh Saini (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 002; Junjun He; et al. (CoRR, 2024)

Multimedia datasets for anomaly detection: a review. - Pratibha Kumari 001; Anterpreet Kaur Bedi; Mukesh Saini (Multim. Tools Appl., 2024)

Concept drift challenge in multimedia anomaly detection: A case study with facial datasets. - Pratibha Kumari 001; Priyankar Choudhary; Vinit Kujur; Pradeep K. Atrey; Mukesh Saini (Signal Process. Image Commun., 2024)

Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects. - Pratibha Kumari 001; Joohi Chauhan; Afshin Bozorgpour; Boqiang Huang; Reza Azad; Dorit Merhof (Medical Image Anal., 2025)

Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning. - Pratibha Kumari 001; Afshin Bozorgpour; Daniel Reisenbüchler; Edgar Jost; Martina Crysandt; Christian Matek; Dorit Merhof (CoRR, 2025)

Attention-based Generative Latent Replay: A Continual Learning Approach for WSI Analysis. - Pratibha Kumari 001; Daniel Reisenbüchler; Afshin Bozorgpour; Nadine S. Schaadt; Friedrich Feuerhake; Dorit Merhof (CoRR, 2025)