113 citations · 180 across the 7 of their papers we have counts for
3 papers · 1 filter
Fine-Grained Action Recognition with Cross-Attentive Latent Sparse Experts
Imtiaz Ul Hassan, Tasweer Ahmad, Nik Bessis +1
Fine-grained human action recognition (FHAR) must distinguish visually similar actions that differ mainly in body configuration, timing, or local appearance. RGB representations re…
TAG-Head: Time-Aligned Graph Head for Plug-and-Play Fine-grained Action Recognition
Imtiaz Ul Hassan, Nik Bessis, Ardhendu Behera
Fine-grained human action recognition (FHAR) is challenging because visually similar actions differ by subtle spatio-temporal cues. Many recent systems enhance discriminability wit…
From Virtual Environments to Real-World Trials: Emerging Trends in Autonomous Driving
A. Humnabadkar, A. Sikdar, B. Cave +3
Autonomous driving technologies have achieved significant advances in recent years, yet their real-world deployment remains constrained by data scarcity, safety requirements, and t…