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08/20/2023
Karma: Adaptive Video Streaming via Causal Sequence Modeling
Optimal adaptive bitrate (ABR) decision depends on a comprehensive chara...
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08/19/2023
Bamboo: Boosting Training Efficiency for Real-Time Video Streaming via Online Grouped Federated Transfer Learning
Most of the learning-based algorithms for bitrate adaptation are limited...
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08/07/2023
Mamba: Bringing Multi-Dimensional ABR to WebRTC
Contemporary real-time video communication systems, such as WebRTC, use ...
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07/07/2023
Anableps: Adapting Bitrate for Real-Time Communication Using VBR-encoded Video
Content providers increasingly replace traditional constant bitrate with...
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04/13/2023
DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos
Existing implicit neural representation (INR) methods do not fully explo...
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04/10/2023
Improving ABR Performance for Short Video Streaming Using Multi-Agent Reinforcement Learning with Expert Guidance
In the realm of short video streaming, popular adaptive bitrate (ABR) al...
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04/07/2023
Improving Adaptive Real-Time Video Communication Via Cross-layer Optimization
Effective Adaptive BitRate (ABR) algorithm or policy is of paramount imp...
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01/28/2023
Dynamic Point Cloud Geometry Compression Using Multiscale Inter Conditional Coding
This work extends the Multiscale Sparse Representation (MSR) framework d...
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12/15/2022
Efficient Visual Computing with Camera RAW Snapshots
Conventional cameras capture image irradiance on a sensor and convert it...
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09/17/2022
CARNet:Compression Artifact Reduction for Point Cloud Attribute
A learning-based adaptive loop filter is developed for the Geometry-base...
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08/27/2022
Lossy Image Compression with Quantized Hierarchical VAEs
Recent work has shown a strong theoretical connection between variationa...
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08/26/2022
Efficient LiDAR Point Cloud Geometry Compression Through Neighborhood Point Attention
Although convolutional representation of multiscale sparse tensor demons...
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08/04/2022
H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System
High-speed, high-resolution stereoscopic (H2-Stereo) video allows us to ...
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04/25/2022
High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation
Questing for lossy image coding (LIC) with superior efficiency on both c...
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04/19/2022
Rendering Nighttime Image Via Cascaded Color and Brightness Compensation
Image signal processing (ISP) is crucial for camera imaging, and neural ...
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04/11/2022
Event Transformer
The event camera is a bio-vision inspired camera with high dynamic range...
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12/16/2021
Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning
Deep neural network based image compression has been extensively studied...
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11/20/2021
Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression
This study develops a unified Point Cloud Geometry (PCG) compression met...
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11/12/2021
Transformer-based Image Compression
A Transformer-based Image Compression (TIC) approach is developed which ...
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08/05/2021
End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation
Recent years have witnessed rapid advances in learnt video coding. Most ...
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04/26/2021
ANT: Learning Accurate Network Throughput for Better Adaptive Video Streaming
Adaptive Bit Rate (ABR) decision plays a crucial role for ensuring satis...
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04/21/2021
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
This paper reviews the first NTIRE challenge on quality enhancement of c...
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03/19/2021
Transfer Learning of Memory Kernels in Coarse-grained Modeling
The present work concerns the transferability of coarse-grained (CG) mod...
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03/18/2021
Data-driven Coarse-grained Modeling of Non-equilibrium Systems
Modeling a high-dimensional Hamiltonian system in reduced dimensions wit...
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03/17/2021
Data-driven nonintrusive reduced order modeling for dynamical systems with moving boundaries using Gaussian process regression
We present a data-driven nonintrusive model order reduction method for d...
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03/04/2021
Point Cloud Distortion Quantification based on Potential Energy for Human and Machine Perception
Distortion quantification of point clouds plays a stealth, yet vital rol...
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12/01/2020
Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning
Inspired by the facts that retinal cells actually segregate the visual s...
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11/07/2020
Multiscale Point Cloud Geometry Compression
Recent years have witnessed the growth of point cloud based applications...
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07/09/2020
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model
Over the past two decades, traditional block-based video coding has made...
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05/31/2020
Inferring Point Cloud Quality via Graph Similarity
We propose the GraphSIM – an objective metric to accurately predict the ...
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03/18/2020
Object-Based Image Coding: A Learning-Driven Revisit
The Object-Based Image Coding (OBIC) that was extensively studied about ...
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02/10/2020
Learning End-to-End Lossy Image Compression: A Benchmark
Image compression is one of the most fundamental techniques and commonly...
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12/13/2019
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
Traditional video compression technologies have been developed over deca...
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09/28/2019
A Dual Camera System for High Spatiotemporal Resolution Video Acquisition
This paper presents a dual camera system for high spatiotemporal resolut...
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09/26/2019
Learned Point Cloud Geometry Compression
This paper presents a novel end-to-end Learned Point Cloud Geometry Comp...
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05/03/2019
Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications
Networked video applications, e.g., video conferencing, often suffer fro...
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04/22/2019
Non-local Attention Optimized Deep Image Compression
This paper proposes a novel Non-Local Attention Optimized Deep Image Com...
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04/08/2019
Extreme Image Compression via Multiscale Autoencoders With Generative Adversarial Optimization
We propose a MultiScale AutoEncoder(MSAE) based extreme image compressio...
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06/05/2018
Deep Image Compression via End-to-End Learning
We present a lossy image compression method based on deep convolutional ...
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02/25/2018
Perceptual Quality Assessment of Immersive Images Considering Peripheral Vision Impact
Conventional images/videos are often rendered within the central vision ...
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02/16/2018
