22 citations · 49 across the 10 of their papers we have counts for
8 papers · 1 filter
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…
Visual Alignment of Medical Vision-Language Models for Grounded Radiology Report Generation
Sarosij Bose, Ravi K. Rajendran, Biplob Debnath +3
Radiology Report Generation (RRG) is a critical step toward automating healthcare workflows, facilitating accurate patient assessments, and reducing the workload of medical profess…
TrafficLens: Multi-Camera Traffic Video Analysis Using LLMs
Md Adnan Arefeen, Biplob Debnath, Srimat Chakradhar
Traffic cameras are essential in urban areas, playing a crucial role in intelligent transportation systems. Multiple cameras at intersections enhance law enforcement capabilities,…
A Perspective on Deep Vision Performance with Standard Image and Video Codecs
Christoph Reich, Oliver Hahn, Daniel Cremers +2
Resource-constrained hardware, such as edge devices or cell phones, often rely on cloud servers to provide the required computational resources for inference in deep vision models.…
iRAG: Advancing RAG for Videos with an Incremental Approach
Md Adnan Arefeen, Biplob Debnath, Md Yusuf Sarwar Uddin +1
Retrieval-augmented generation (RAG) systems combine the strengths of language generation and information retrieval to power many real-world applications like chatbots. Use of RAG…
Differentiable JPEG: The Devil is in the Details
Christoph Reich, Biplob Debnath, Deep Patel +1
JPEG remains one of the most widespread lossy image coding methods. However, the non-differentiable nature of JPEG restricts the application in deep learning pipelines. Several dif…
F3S: Free Flow Fever Screening
Kunal Rao, Giuseppe Coviello, Min Feng +7
Identification of people with elevated body temperature can reduce or dramatically slow down the spread of infectious diseases like COVID-19. We present a novel fever-screening sys…