Search Results for author: Zhan Ma

Found 28 papers, 10 papers with code

High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation

no code implementations25 Apr 2022 Ming Lu, Zhan Ma

Questing for lossy image coding (LIC) with superior efficiency on both compression performance and computation throughput is challenging.

Rendering Nighttime Image Via Cascaded Color and Brightness Compensation

1 code implementation19 Apr 2022 Zhihao LI, Si Yi, Zhan Ma

Image signal processing (ISP) is crucial for camera imaging, and neural networks (NN) solutions are extensively deployed for daytime scenes.

Tone Mapping

Event Transformer

no code implementations11 Apr 2022 Zhihao LI, M. Salman Asif, Zhan Ma

The event camera is a bio-vision inspired camera with high dynamic range, high response speed, and low power consumption, recently attracting extensive attention for its use in vast vision tasks.

Event-based vision

Sparse Tensor-based Point Cloud Attribute Compression

1 code implementation3 Apr 2022 Jianqiang Wang, Zhan Ma

Recently, numerous learning-based compression methods have been developed with outstanding performance for the coding of the geometry information of point clouds.

14

Opening the Black Box of Learned Image Coders

no code implementations26 Feb 2022 Zhihao Duan, Ming Lu, Zhan Ma, Fengqing Zhu

End-to-end learned lossy image coders, as opposed to hand-crafted image codecs, have shown increasing superiority in terms of the rate-distortion performance.

Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning

no code implementations16 Dec 2021 Tong Chen, Zhan Ma

We perform the adversarial attack by injecting a small amount of noise perturbation to original source images, and then encode these adversarial examples using prevailing learnt image compression models.

Adversarial Attack Image Compression

Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression

2 code implementations20 Nov 2021 Jianqiang Wang, Dandan Ding, Zhu Li, Xiaoxing Feng, Chuntong Cao, Zhan Ma

This study develops a unified Point Cloud Geometry (PCG) compression method through Sparse Tensor Processing (STP) based multiscale representation of voxelized PCG, dubbed as the SparsePCGC.

Transformer-based Image Compression

no code implementations12 Nov 2021 Ming Lu, Peiyao Guo, Huiqing Shi, Chuntong Cao, Zhan Ma

A Transformer-based Image Compression (TIC) approach is developed which reuses the canonical variational autoencoder (VAE) architecture with paired main and hyper encoder-decoders.

Image Compression Image Reconstruction

End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation

no code implementations5 Aug 2021 Haojie Liu, Ming Lu, Zhiqi Chen, Xun Cao, Zhan Ma, Yao Wang

We further design a one-to-many decoder pipeline to generate multiple predictions from the CSTR, including vector-based resampling, adaptive kernel-based resampling, compensation mode selection maps and texture enhancements, and combines them adaptively to achieve more accurate inter prediction.

Frame Motion Compensation +4

ANT: Learning Accurate Network Throughput for Better Adaptive Video Streaming

no code implementations26 Apr 2021 Jiaoyang Yin, Yiling Xu, Hao Chen, Yunfei Zhang, Steve Appleby, Zhan Ma

Adaptive Bit Rate (ABR) decision plays a crucial role for ensuring satisfactory Quality of Experience (QoE) in video streaming applications, in which past network statistics are mainly leveraged for future network bandwidth prediction.

MPED: Quantifying Point Cloud Distortion based on Multiscale Potential Energy Discrepancy

1 code implementation4 Mar 2021 Qi Yang, Yujie Zhang, Siheng Chen, Yiling Xu, Jun Sun, Zhan Ma

In this paper, we propose a new distortion quantification method for point clouds, the multiscale potential energy discrepancy (MPED).

Point cloud reconstruction

Decoder-side Cross Resolution Synthesis for Video Compression Enhancement

no code implementations1 Dec 2020 Ming Lu, Tong Chen, zhenyu Dai, Dong Wang, Dandan Ding, Zhan Ma

This paper proposes a decoder-side Cross Resolution Synthesis (CRS) module to pursue better compression efficiency beyond the latest Versatile Video Coding (VVC), where we encode intra frames at original high resolution (HR), compress inter frames at a lower resolution (LR), and then super-resolve decoded LR inter frames with the help from preceding HR intra and neighboring LR inter frames.

Frame Motion Compensation +3

Multiscale Point Cloud Geometry Compression

3 code implementations7 Nov 2020 Jianqiang Wang, Dandan Ding, Zhu Li, Zhan Ma

Recent years have witnessed the growth of point cloud based applications because of its realistic and fine-grained representation of 3D objects and scenes.

Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model

no code implementations9 Jul 2020 Haojie Liu, Ming Lu, Zhan Ma, Fan Wang, Zhihuang Xie, Xun Cao, Yao Wang

Over the past two decades, traditional block-based video coding has made remarkable progress and spawned a series of well-known standards such as MPEG-4, H. 264/AVC and H. 265/HEVC.

Frame Motion Compensation +3

Inferring Point Cloud Quality via Graph Similarity

1 code implementation31 May 2020 Qi Yang, Zhan Ma, Yiling Xu, Zhu Li, Jun Sun

We propose the GraphSIM -- an objective metric to accurately predict the subjective quality of point cloud with superimposed geometry and color impairments.

Graph Similarity

Object-Based Image Coding: A Learning-Driven Revisit

no code implementations18 Mar 2020 Qi Xia, Haojie Liu, Zhan Ma

The Object-Based Image Coding (OBIC) that was extensively studied about two decades ago, promised a vast application perspective for both ultra-low bitrate communication and high-level semantical content understanding, but it had rarely been used due to the inefficient compact representation of object with arbitrary shape.

Image Compression Semantic Segmentation

Learning End-to-End Lossy Image Compression: A Benchmark

2 code implementations10 Feb 2020 Yueyu Hu, Wenhan Yang, Zhan Ma, Jiaying Liu

In this paper, we first conduct a comprehensive literature survey of learned image compression methods.

Image Compression

Learned Video Compression via Joint Spatial-Temporal Correlation Exploration

no code implementations13 Dec 2019 Haojie Liu, Han Shen, Lichao Huang, Ming Lu, Tong Chen, Zhan Ma

Traditional video compression technologies have been developed over decades in pursuit of higher coding efficiency.

Optical Flow Estimation Video Compression

Neural Image Compression via Non-Local Attention Optimization and Improved Context Modeling

no code implementations11 Oct 2019 Tong Chen, Haojie Liu, Zhan Ma, Qiu Shen, Xun Cao, Yao Wang

This paper proposes a novel Non-Local Attention optmization and Improved Context modeling-based image compression (NLAIC) algorithm, which is built on top of the deep nerual network (DNN)-based variational auto-encoder (VAE) structure.

Image Compression MS-SSIM +1

A Dual Camera System for High Spatiotemporal Resolution Video Acquisition

no code implementations28 Sep 2019 Ming Cheng, Zhan Ma, M. Salman Asif, Yiling Xu, Haojie Liu, Wenbo Bao, Jun Sun

This paper presents a dual camera system for high spatiotemporal resolution (HSTR) video acquisition, where one camera shoots a video with high spatial resolution and low frame rate (HSR-LFR) and another one captures a low spatial resolution and high frame rate (LSR-HFR) video.

Frame

Learned Point Cloud Geometry Compression

2 code implementations26 Sep 2019 Jianqiang Wang, Hao Zhu, Zhan Ma, Tong Chen, Haojie Liu, Qiu Shen

This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (a. k. a., Learned-PCGC) framework, to efficiently compress the point cloud geometry (PCG) using deep neural networks (DNN) based variational autoencoders (VAE).

Surface Reconstruction

Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications

no code implementations3 May 2019 Ming Lu, Ming Cheng, Yiling Xu, ShiLiang Pu, Qiu Shen, Zhan Ma

Networked video applications, e. g., video conferencing, often suffer from poor visual quality due to unexpected network fluctuation and limited bandwidth.

Frame Video Compression

Non-local Attention Optimized Deep Image Compression

no code implementations22 Apr 2019 Haojie Liu, Tong Chen, Peiyao Guo, Qiu Shen, Xun Cao, Yao Wang, Zhan Ma

This paper proposes a novel Non-Local Attention Optimized Deep Image Compression (NLAIC) framework, which is built on top of the popular variational auto-encoder (VAE) structure.

Image Compression MS-SSIM +1

Extreme Image Coding via Multiscale Autoencoders With Generative Adversarial Optimization

no code implementations8 Apr 2019 Chao Huang, Haojie Liu, Tong Chen, Qiu Shen, Zhan Ma

We propose a MultiScale AutoEncoder(MSAE) based extreme image compression framework to offer visually pleasing reconstruction at a very low bitrate.

Image Compression

Gated Context Model with Embedded Priors for Deep Image Compression

no code implementations27 Feb 2019 Haojie Liu, Tong Chen, Peiyao Guo, Qiu Shen, Zhan Ma

Besides, a field study on perceptual quality is also given via a dedicated subjective assessment, to compare the efficiency of our proposed methods and other conventional image compression methods.

Image Compression Image Reconstruction +2

Deep Image Compression via End-to-End Learning

1 code implementation5 Jun 2018 Haojie Liu, Tong Chen, Qiu Shen, Tao Yue, Zhan Ma

We present a lossy image compression method based on deep convolutional neural networks (CNNs), which outperforms the existing BPG, WebP, JPEG2000 and JPEG as measured via multi-scale structural similarity (MS-SSIM), at the same bit rate.

Image Compression MS-SSIM +3

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