1 citations · 2 across the 10 of their papers we have counts for
10 papers
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…
5GLoR: 5G LAN Orchestration for enterprise IoT applications
Sandesh Dhawaskar Sathyanarayana, Murugan Sankaradas, Srimat Chakradhar
5G-LAN is an enterprise local area network (LAN) that leverages 5G technology for wireless connectivity instead of WiFi. 5G technology is unique: it uses network slicing to disting…
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…
ROMA: Resource Orchestration for Microservices-based 5G Applications
Anousheh Gholami, Kunal Rao, Wang-Pin Hsiung +3
With the growth of 5G, Internet of Things (IoT), edge computing and cloud computing technologies, the infrastructure (compute and network) available to emerging applications (AR/VR…
Edge-based fever screening system over private 5G
Murugan Sankaradas, Kunal Rao, Ravi Rajendran +2
Edge computing and 5G have made it possible to perform analytics closer to the source of data and achieve super-low latency response times, which is not possible with centralized c…
Enhancing Video Analytics Accuracy via Real-time Automated Camera Parameter Tuning
Sibendu Paul, Kunal Rao, Giuseppe Coviello +4
In Video Analytics Pipelines (VAP), Analytics Units (AUs) such as object detection and face recognition running on remote servers critically rely on surveillance cameras to capture…