2 citations · 4 across the 6 of their papers we have counts for
3 papers · 1 filter
Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignment
Indrajeet Ghosh, Garvit Chugh, Abu Zaher Md Faridee +1
Recent advancements in deep learning-based wearable human action recognition (wHAR) have improved the capture and classification of complex motions, but adoption remains limited du…
Novel Categories Discovery Via Constraints on Empirical Prediction Statistics
Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed +4
Novel Categories Discovery (NCD) aims to cluster novel data based on the class semantics of known classes using the open-world partial class space annotated dataset. As an alternat…
NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery
Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee +4
Novel Categories Discovery (NCD) facilitates learning from a partially annotated label space and enables deep learning (DL) models to operate in an open-world setting by identifyin…