3 papers
cs.CV2026
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…
cs.CV2025
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…
cs.CV2024
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…