Výsledky vyhledávání - "Debnath, Biplob"

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A Perspective on Deep Vision Performance with Standard Image and Video Codecs

Autor: Reich, Christoph, Hahn, Oliver, Cremers, Daniel, Roth, Stefan, Debnath, Biplob

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. However, transferring image and video data from an edge or mobile dev

Externí odkaz: http://arxiv.org/abs/2404.12330

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iRAG: Advancing RAG for Videos with an Incremental Approach

Autor: Arefeen, Md Adnan, Debnath, Biplob, Uddin, Md Yusuf Sarwar, Chakradhar, Srimat

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 for understanding of videos is appealing but there are two critical li

Externí odkaz: http://arxiv.org/abs/2404.12309

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Differentiable JPEG: The Devil is in the Details

Autor: Reich, Christoph, Debnath, Biplob, Patel, Deep, Chakradhar, Srimat

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 differentiable approximations of JPEG have recently been proposed to addr

Externí odkaz: http://arxiv.org/abs/2309.06978

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LeanContext: Cost-Efficient Domain-Specific Question Answering Using LLMs

Autor: Arefeen, Md Adnan, Debnath, Biplob, Chakradhar, Srimat

Question-answering (QA) is a significant application of Large Language Models (LLMs), shaping chatbot capabilities across healthcare, education, and customer service. However, widespread LLM integration presents a challenge for small businesses due t

Externí odkaz: http://arxiv.org/abs/2309.00841

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Deep Video Codec Control for Vision Models

Autor: Reich, Christoph, Debnath, Biplob, Patel, Deep, Prangemeier, Tim, Cremers, Daniel, Chakradhar, Srimat

Standardized lossy video coding is at the core of almost all real-world video processing pipelines. Rate control is used to enable standard codecs to adapt to different network bandwidth conditions or storage constraints. However, standard video code

Externí odkaz: http://arxiv.org/abs/2308.16215

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F3S: Free Flow Fever Screening

Autor: Rao, Kunal, Coviello, Giuseppe, Feng, Min, Debnath, Biplob, Hsiung, Wang-Pin, Sankaradas, Murugan, Yang, Yi, Po, Oliver, Drolia, Utsav, Chakradhar, Srimat

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 system, F3S, that uses edge machine learning techniques to accurately mea

Externí odkaz: http://arxiv.org/abs/2109.01733

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