activity
20162026
most citedDifferentiable JPEG: The Devil is in the Details

22 citations · 61 across the 30 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

eess.IV2023

Deep Learning-Based Real-Time Quality Control of Standard Video Compression for Live Streaming

Matin Mortaheb, Mohammad A. Amir Khojastepour, Srimat T. Chakradhar +1

Ensuring high-quality video content for wireless users has become increasingly vital. Nevertheless, maintaining a consistent level of video quality faces challenges due to the fluc…

cs.NI2023

Deep Learning-Based Real-Time Rate Control for Live Streaming on Wireless Networks

Matin Mortaheb, Mohammad A. Amir Khojastepour, Srimat T. Chakradhar +1

Providing wireless users with high-quality video content has become increasingly important. However, ensuring consistent video quality poses challenges due to variable encoded bitr…

cs.CL2023★ 2 cited

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

Md Adnan Arefeen, Biplob Debnath, Srimat Chakradhar

Question-answering (QA) is a significant application of Large Language Models (LLMs), shaping chatbot capabilities across healthcare, education, and customer service. However, wide…

cs.CV2023★ 22 cited

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…

cs.LG2023

Semantic Multi-Resolution Communications

Matin Mortaheb, Mohammad A. Amir Khojastepour, Srimat T. Chakradhar +1

Deep learning based joint source-channel coding (JSCC) has demonstrated significant advancements in data reconstruction compared to separate source-channel coding (SSCC). This supe…

eess.IV2023★ 2 cited

Deep Video Codec Control for Vision Models

Christoph Reich, Biplob Debnath, Deep Patel +3

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 ban…

cs.NI2023

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…