5 papers · 1 filter
Lorentz Framework for Semantic Segmentation
Zahid Hasan, Masud Ahmed, Nirmalya Roy
Semantic segmentation in hyperbolic space enables compact modeling of hierarchical structure while providing inherent uncertainty quantification. Prior approaches predominantly rel…
CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image Generation
Masud Ahmed, Zahid Hasan, Syed Arefinul Haque +4
Traditional transformer-based semantic segmentation relies on quantized embeddings. However, our analysis reveals that autoencoder accuracy on segmentation mask using quantized emb…
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…
A Systematic Study on Object Recognition Using Millimeter-wave Radar
Maloy Kumar Devnath, Avijoy Chakma, Mohammad Saeid Anwar +5
Due to its light and weather-independent sensing, millimeter-wave (MMW) radar is essential in smart environments. Intelligent vehicle systems and industry-grade MMW radars have int…
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…