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08/24/2023
SCP: Spherical-Coordinate-based Learned Point Cloud Compression
In recent years, the task of learned point cloud compression has gained ...
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06/21/2023
Recoil: Parallel rANS Decoding with Decoder-Adaptive Scalability
Entropy coding is essential to data compression, image and video coding,...
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05/04/2023
Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts
Image coding for machines (ICM) aims to compress images to support downs...
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03/27/2023
Learned Image Compression with Mixed Transformer-CNN Architectures
Learned image compression (LIC) methods have exhibited promising progres...
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02/18/2023
Multistage Spatial Context Models for Learned Image Compression
Recent state-of-the-art Learned Image Compression methods feature spatia...
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11/12/2022
ABCAS: Adaptive Bound Control of spectral norm as Automatic Stabilizer
Spectral Normalization is one of the best methods for stabilizing the tr...
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09/03/2022
Semantic Segmentation in Learned Compressed Domain
Most machine vision tasks (e.g., semantic segmentation) are based on ima...
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08/30/2022
Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules
Lossless image compression is an essential research field in image compr...
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08/02/2022
Streaming-capable High-performance Architecture of Learned Image Compression Codecs
Learned image compression allows achieving state-of-the-art accuracy and...
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12/28/2021
FPGA Based Accelerator for Neural Networks Computation with Flexible Pipelining
FPGA is appropriate for fix-point neural networks computing due to high ...
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10/31/2021
Learned Image Compression with Separate Hyperprior Decoders
Learned image compression techniques have achieved considerable developm...
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08/19/2021
Learned Video Compression with Residual Prediction and Loop Filter
In this paper, we propose a learned video codec with a residual predicti...
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10/25/2020
A QP-adaptive Mechanism for CNN-based Filter in Video Coding
Convolutional neural network (CNN)-based filters have achieved great suc...
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10/24/2020
COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval
We present a large challenging dataset, COUGH, for COVID-19 FAQ retrieva...
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09/06/2020
A Convolutional Neural Network-Based Low Complexity Filter
Convolutional Neural Network (CNN)-based filters have achieved significa...
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11/22/2019
Dual Learning-based Video Coding with Inception Dense Blocks
In this paper, a dual learning-based method in intra coding is introduce...
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04/25/2018
