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Found 8 papers, 3 papers with code
FAVER: Blind Quality Prediction of Variable Frame Rate Videos
Video quality assessment (VQA) remains an important and challenging problem that affects many applications at the widest scales.
Learned Image Compression with Separate Hyperprior Decoders
Learned image compression techniques have achieved considerable development in recent years.
Learned Video Compression with Residual Prediction and Loop Filter
To reduce the complexity, a light ResNet structure is used as the backbone for both RP-Net and LF-Net.
A QP-adaptive Mechanism for CNN-based Filter in Video Coding
Convolutional neural network (CNN)-based filters have achieved great success in video coding.
VPQC: A Domain-Specific Vector Processor for Post-Quantum Cryptography Based on RISC-V Architecture
In the 5G era, massive devices need to be securely connected to the edge of communication networks, while emerging quantum computers can easily crack the traditional public-key ciphers.
Hardware Architecture
Dual Learning-based Video Coding with Inception Dense Blocks
This method is mainly composed of two parts: intra prediction and reconstruction filtering.
Recursive Binary Neural Network Learning Model with 2-bit/weight Storage Requirement
With the same amount of data storage, our model can train a bigger network having more weights, achieving 1% less test error than the conventional binary neural network learning model.
Recursive Binary Neural Network Learning Model with 2.28b/Weight Storage Requirement
This enables a device with a given storage constraint to train and instantiate a neural network classifier with a larger number of weights on a chip and with a less number of off-chip storage accesses.
