Information Nutrition Labels: A Plugin for Online News Evaluation. - Kevin Vincentius; Birte Högden; Claudia Schwenger; Ali Sahan; Neelu Madan; Piush Aggarwal; Anusha Bangaru; Farid Muradov; Ahmet Aker (FEVER@EMNLP, 2018)

Temporal Cues from Socially Unacceptable Trajectories for Anomaly Detection. - Neelu Madan; Arya Farkhondeh; Kamal Nasrollahi; Sergio Escalera; Thomas B. Moeslund (ICCVW, 2021)

Attention-Enabled Object Detection to Improve One-Stage Tracker. - Neelu Madan; Kamal Nasrollahi; Thomas B. Moeslund (IntelliSys (2), 2021)

Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. - Nicolae-Catalin Ristea; Neelu Madan; Radu Tudor Ionescu; Kamal Nasrollahi; Fahad Shahbaz Khan; Thomas B. Moeslund; Mubarak Shah (CVPR, 2022)

ThermalSynth: A Novel Approach for Generating Synthetic Thermal Human Scenarios. - Neelu Madan; Mia Sandra Nicole Siemon; Magnus Kaufmann Gjerde; Bastian Starup Petersson; Arijus Grotuzas; Malthe Aaholm Esbensen; Ivan Adriyanov Nikolov; Mark Philip Philipsen; Kamal Nasrollahi; Thomas B. Moeslund (WACV (Workshops), 2023)

CL-MAE: Curriculum-Learned Masked Autoencoders. - Neelu Madan; Nicolae-Catalin Ristea; Kamal Nasrollahi; Thomas B. Moeslund; Radu Tudor Ionescu (WACV, 2024)

Foundation Models for Video Understanding: A Survey. - Neelu Madan; Andreas Møgelmose; Rajat Modi; Yogesh S. Rawat; Thomas B. Moeslund (CoRR, 2024)

Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection. - Neelu Madan; Nicolae-Catalin Ristea; Radu Tudor Ionescu; Kamal Nasrollahi; Fahad Shahbaz Khan; Thomas B. Moeslund; Mubarak Shah (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

SlotMatch: Distilling Temporally Consistent Object-Centric Representations for Unsupervised Video Segmentation. - Diana-Nicoleta Grigore; Neelu Madan; Andreas Møgelmose; Thomas B. Moeslund; Radu Tudor Ionescu (CoRR, 2025)