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pro vyhledávání: '"Omama, Mohammad"'
The unprecedented surge in video data production in recent years necessitates efficient tools to extract meaningful frames from videos for downstream tasks. Long-term temporal reasoning is a key desideratum for frame retrieval systems. While state-of
Externí odkaz:
http://arxiv.org/abs/2403.11021
Autor:
Puligilla, Sai Shubodh, Omama, Mohammad, Zaidi, Husain, Parihar, Udit Singh, Krishna, Madhava
Global visual localization in LiDAR-maps, crucial for autonomous driving applications, remains largely unexplored due to the challenging issue of bridging the cross-modal heterogeneity gap. Popular multi-modal learning approach Contrastive Language-I
Externí odkaz:
http://arxiv.org/abs/2312.16648
Autor:
Omama, Mohammad, Inani, Pranav, Paul, Pranjal, Yellapragada, Sarat Chandra, Jatavallabhula, Krishna Murthy, Chinchali, Sandeep, Krishna, Madhava
We present an autonomous navigation system that operates without assuming HD LiDAR maps of the environment. Our system, ALT-Pilot, relies only on publicly available road network information and a sparse (and noisy) set of crowdsourced language landma
Externí odkaz:
http://arxiv.org/abs/2310.02324
Fire disasters typically result in lot of loss to life and property. It is therefore imperative that precise, fast, and possibly portable solutions to detect fire be made readily available to the masses at reasonable prices. There have been several r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::580f949b1980897c90a166a46e4f547b