Name: 李鼎权, Dingquan Li
Type: User
Company: Peng Cheng Laboratory
Bio: Life, Decision, Quality.
Focusing on Data Compression, Quality Assessment, Perceptual Optimization.
Being interested in Computer Vision and Machine Learning.
Location: Shenzhen, China
Blog: https://lidq92.github.io
李鼎权, Dingquan Li's Projects
🎓Automatically Update Interested Papers Daily using Github Actions (Update Every 12th hours)
[unofficial] CVPR2014-Convolutional neural networks for no-reference image quality assessment
[unofficial] PyTorch Implementation of image quality assessment methods: IQA-CNN++ in ICIP2015 and IQA-CNN in CVPR2014
A PyTorch library and evaluation platform for end-to-end compression research
Training platform for End-to-End compression models, losses and metrics defined in Compressai
CompressAI-Vision helps you design, test and compare Video Compression for Machines pipelines. Compression methods can be either pulled from custom AI-based modules from CompressAI or traditional codecs such as H.266/VVC.
DEEP GEOMETRY POST-PROCESSING FOR DECOMPRESSED POINT CLOUDS (ICME2022 oral)
Elegant LaTeX Template for Notes
中华人民共和国国家标准 LaTeX 模板
Python library for converting Python calculations into rendered latex.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
An image to LaTeX tool by MathpixOCR API and JavaFX
Best Practices for Initializing Image and Video Quality Assessment Models
Dingquan Li's homepage
[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
[official] DCC 2024: Lightweight super resolution network for point cloud geometry compression
Chinese Translation of Machine Learning Yearning by Andrew Ng
[official] Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training (IJCV 2021)
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Multimedia Deadlines
[official] PCC: TIP 2024-Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression; VCIP 2022-Near-lossless Point Cloud Geometry Compression Based on Adaptive Residual Compensation; ...
Quality Assessment for Tone-Mapped HDR Images Using Multi-Scale and Multi-Layer Information (ICMEw 2018)
Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
Point cloud compression and benchmark
PccAI is a framework for AI-based point cloud compression
A High-Quality Colored Point Cloud Dataset Provided by Peng Cheng Laboratory (mainly for AVS PCC and PCQA)
LaTeX template for dissertations in Peking University
LaTeX Thesis Template for Tsinghua University
React
Typescript
Django
Laravel
Facebook
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Alibaba
D3
Tencent