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Shivkumar Chandrasekaran

2 accepted papers

2026

WRIVINDER: Towards Spatial Intelligence for Geo-locating Ground Images onto Satellite Imagery

CVPR 2026

Aligning ground-level imagery with geo-registered satellite maps is crucial for mapping, navigation, and situational awareness, yet remains challenging under large viewpoint gaps or when GPS is unreliable. We introduce Wrivinder, a zero-shot, geometry-driven framework that aggregates multiple ground

Cited by 0SourcecodeScholar
2020

Complex Pairwise Activity Analysis Via Instance Level Evolution Reasoning

ICASSP 2020accepted

Video activity analysis systems are often trained on large datasets. Activities and events in the real world do not occur in isolation, instead, they occur as interactions between related objects. This work introduces a novel method that jointly exploits relational information between pairs of objec…

Cited by 0SourceScholar