1 citations · 1 across the 8 of their papers we have counts for
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DamageScope: Vision-Language Retrieval at Scale for Disaster Damage Assessment from Satellite Imagery
Ravi K. Rajendran, Biplob Debnath, Murugan Sankaradas +1
Timely and accurate assessment of property damage is critical following natural disasters. Traditional on-site inspections are labor-intensive, costly, and often pose safety risks.…
Open-SAT: LLM-Guided Query Embedding Refinement for Open-Vocabulary Object Retrieval in Satellite Imagery
Md Adnan Arefeen, Biplob Debnath, Ravi K. Rajendran +2
In satellite applications, user queries often take the form of open-ended natural language, extending beyond a fixed set of predefined categories. This open-vocabulary nature poses…
StreamingRAG: Real-time Contextual Retrieval and Generation Framework
Murugan Sankaradas, Ravi K. Rajendran, Srimat T. Chakradhar
Extracting real-time insights from multi-modal data streams from various domains such as healthcare, intelligent transportation, and satellite remote sensing remains a challenge. H…
Elixir: A system to enhance data quality for multiple analytics on a video stream
Sibendu Paul, Kunal Rao, Giuseppe Coviello +4
IoT sensors, especially video cameras, are ubiquitously deployed around the world to perform a variety of computer vision tasks in several verticals including retail, healthcare, s…
APT: Adaptive Perceptual quality based camera Tuning using reinforcement learning
Sibendu Paul, Kunal Rao, Giuseppe Coviello +4
Cameras are increasingly being deployed in cities, enterprises and roads world-wide to enable many applications in public safety, intelligent transportation, retail, healthcare and…
Why is the video analytics accuracy fluctuating, and what can we do about it?
Sibendu Paul, Kunal Rao, Giuseppe Coviello +4
It is a common practice to think of a video as a sequence of images (frames), and re-use deep neural network models that are trained only on images for similar analytics tasks on v…