Search Results for author:
Found 7 papers, 3 papers with code
MetaGreen: Meta-Learning Inspired Transformer Selection for Green Semantic Communication
However, the development of Semantic Communication faces a crucial challenge: the need for universal metrics to benchmark the joint effects of semantic information loss and energy consumption.
MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results
The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algorithms in camera systems.
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey
This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results.
Transformers for Green Semantic Communication: Less Energy, More Semantics
Semantic communication aims to transmit meaningful and effective information, rather than focusing on individual symbols or bits.
PiChu: Accelerating Block Broadcasting in Blockchain Networks with Pipelining and Chunking
To improve scalability of blockchain networks, we propose a novel approach named PiChu that accelerates block propagation in blockchain networks by pipelining and verifying chunks of a block in parallel.
Chunking
Distributed, Parallel, and Cluster Computing
Real-Time Human Detection as an Edge Service Enabled by a Lightweight CNN
Edge computing allows more computing tasks to take place on the decentralized nodes at the edge of networks.
Smart Surveillance as an Edge Network Service: from Harr-Cascade, SVM to a Lightweight CNN
Edge computing efficiently extends the realm of information technology beyond the boundary defined by cloud computing paradigm.
