Search Results for author: Ming Lu

Found 33 papers, 15 papers with code

QARV: Quantization-Aware ResNet VAE for Lossy Image Compression

1 code implementation16 Feb 2023 Zhihao Duan, Ming Lu, Jack Ma, Zhan Ma, Fengqing Zhu

We consider the problem of lossy image compression, a fundamental problem in both information theory and many real-world applications.

Image Compression Quantization

Efficient Visual Computing with Camera RAW Snapshots

1 code implementation15 Dec 2022 Zhihao LI, Ming Lu, Xu Zhang, Xin Feng, M. Salman Asif, Zhan Ma

Conventional cameras capture image irradiance on a sensor and convert it to RGB images using an image signal processor (ISP).

Autonomous Driving Image Compression +2

BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks

no code implementations2 Dec 2022 Xiaowei Chi, Jiaming Liu, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang

In order to find them, we further propose a LiDAR-guided sampling strategy to leverage the statistical distribution of LiDAR to determine the heights of local slices.

3D Object Detection Autonomous Driving +1

Rate-Distortion Optimized Post-Training Quantization for Learned Image Compression

no code implementations5 Nov 2022 Junqi Shi, Ming Lu, Zhan Ma

Quantizing a floating-point neural network to its fixed-point representation is crucial for Learned Image Compression (LIC) because it assures the decoding consistency for interoperability and reduces space-time complexity for implementation.

Image Compression Quantization

Complementary consistency semi-supervised learning for 3D left atrial image segmentation

1 code implementation4 Oct 2022 Hejun Huang, Zuguo Chen, Chaoyang Chen, Ming Lu, Ying Zou

The inter-model perturbation is formed between the main model and the auxiliary model to form complementary consistency training.

Image Segmentation Semantic Segmentation

Lossy Image Compression with Quantized Hierarchical VAEs

1 code implementation27 Aug 2022 Zhihao Duan, Ming Lu, Zhan Ma, Fengqing Zhu

Recent work has shown a strong theoretical connection between variational autoencoders (VAEs) and the rate distortion theory.

Image Compression Quantization

Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer

1 code implementation26 Aug 2022 Jiaming Liu, Qizhe Zhang, Jianing Li, Ming Lu, Tiejun Huang, Shanghang Zhang

Neuromorphic spike data, an upcoming modality with high temporal resolution, has shown promising potential in real-world applications due to its inherent advantage to overcome high-velocity motion blur.

Autonomous Driving Depth Estimation +2

Uncertainty Guided Depth Fusion for Spike Camera

no code implementations26 Aug 2022 Jianing Li, Jiaming Liu, Xiaobao Wei, Jiyuan Zhang, Ming Lu, Lei Ma, Li Du, Tiejun Huang, Shanghang Zhang

In this paper, we propose a novel Uncertainty-Guided Depth Fusion (UGDF) framework to fuse the predictions of monocular and stereo depth estimation networks for spike camera.

Autonomous Driving Stereo Depth Estimation

Efficient Meta-Tuning for Content-aware Neural Video Delivery

1 code implementation20 Jul 2022 Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang

Our method significantly reduces the computational cost and achieves even better performance, paving the way for applying neural video delivery techniques to practical applications.


Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation

1 code implementation19 Jul 2022 Jingwang Ling, Zhibo Wang, Ming Lu, Quan Wang, Chen Qian, Feng Xu

Previous works on morphable models mostly focus on large-scale facial geometry but ignore facial details.

High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation

1 code implementation25 Apr 2022 Ming Lu, Fangdong Chen, ShiLiang Pu, Zhan Ma

To this end, Integrated Convolution and Self-Attention (ICSA) unit is first proposed to form a content-adaptive transform to characterize and embed neighborhood information dynamically of any input.

Adaptive Patch Exiting for Scalable Single Image Super-Resolution

1 code implementation22 Mar 2022 Shizun Wang, Jiaming Liu, Kaixin Chen, Xiaoqi Li, Ming Lu, Yandong Guo

Once the incremental capacity is below the threshold, the patch can exit at the specific layer.

Image Super-Resolution

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 (LICs), as opposed to hand-crafted image codecs, have shown increasing superiority in terms of the rate-distortion performance.

NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery

no code implementations10 Jan 2022 Ming Lu, Leyuan Fang, Muxing Li, Bob Zhang, Yi Zhang, Pedram Ghamisi

Therefore, we study how to utilize point labels to extract water bodies and propose a novel method called the neighbor feature aggregation network (NFANet).

SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution

1 code implementation30 Nov 2021 Shizun Wang, Ming Lu, Kaixin Chen, Jiaming Liu, Xiaoqi Li, Chuang Zhang, Ming Wu

However, existing methods mostly train the DNNs on uniformly sampled LR-HR patch pairs, which makes them fail to fully exploit informative patches within the image.

Data Augmentation Image Super-Resolution

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.

Motion Compensation MS-SSIM +3

Contextual Graph Reasoning Networks

no code implementations1 Jan 2021 Zhaoqing Wang, Jiaming Liu, Yangyuxuan Kang, Mingming Gong, Chuang Zhang, Ming Lu, Ming Wu

Graph Reasoning has shown great potential recently in modeling long-range dependencies, which are crucial for various computer vision tasks.

2D Human Pose Estimation Instance Segmentation +2

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.

Motion Compensation Super-Resolution +2

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.

Motion Compensation MS-SSIM +2

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

A Closed-form Solution to Universal Style Transfer

2 code implementations ICCV 2019 Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu, Li Zhang

Although plenty of methods have been proposed, a theoretical analysis of feature transform is still missing.

Style Transfer

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.

Video Compression

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