most citedReal-Time Bus Departure Prediction Using Neural Networks for Smart IoT Public Bus Transit

16 citations · 16 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SP2025

Distributed learning for automatic modulation recognition in bandwidth-limited networks

Narges Rashvand, Kenneth Witham, Gabriel Maldonado +4

Automatic Modulation Recognition (AMR) is critical in identifying various modulation types in wireless communication systems. Recent advancements in deep learning have facilitated…

cs.CV2025

Adversarially-Refined VQ-GAN with Dense Motion Tokenization for Spatio-Temporal Heatmaps

Gabriel Maldonado, Narges Rashvand, Armin Danesh Pazho +3

Continuous human motion understanding remains a core challenge in computer vision due to its high dimensionality and inherent redundancy. Efficient compression and representation a…

cs.CV2025

Shopformer: Transformer-Based Framework for Detecting Shoplifting via Human Pose

Narges Rashvand, Ghazal Alinezhad Noghre, Armin Danesh Pazho +2

Shoplifting remains a costly issue for the retail sector, but traditional surveillance systems, which are mostly based on human monitoring, are still largely ineffective, with only…

cs.LG202516 cited

Real-Time Bus Departure Prediction Using Neural Networks for Smart IoT Public Bus Transit

Narges Rashvand, Sanaz Sadat Hosseini, Mona Azarbayjani +1

Bus transit plays a vital role in urban public transportation but often struggles to provide accurate and reliable departure times. This leads to delays, passenger dissatisfaction,…

cs.CV2025

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark

Narges Rashvand, Ghazal Alinezhad Noghre, Armin Danesh Pazho +2

Shoplifting poses a significant challenge for retailers, resulting in billions of dollars in annual losses. Traditional security measures often fall short, highlighting the need fo…