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Name: DuLina(杜丽娜)
Type: User
Company: 山东建筑大学
Location: **-山东-济南
Name: DuLina(杜丽娜)
Type: User
Company: 山东建筑大学
Location: **-山东-济南
1.使用keras手写字符识别,数据集使用minist,网上下载 2.使用keras预测一份血常规报告的年龄和性别 3.使用keras实现LSTM情感分析
Saliency Detection in 360$^\circ$ Videos (ECCV2018)
A Taxonomy and Dataset for 360-degree videos
The code for CVPR2021 Weakly Supervised Video Salient Object Detection
This is a tool to annotate objects for 360 videos
Source code for a 360 degree video player and head movement logger for a HMD using the OSVR API
3D ResNets for Action Recognition (CVPR 2018)
Sub-6 band 5G measurement tools and dataset
In this work, we present a 5G trace dataset collected from a major Irish mobile operator. The dataset is generated from two mobility patterns (static and car), and across two application patterns(video streaming and file download). The dataset is composed of client-side cellular key performance indicators (KPIs) comprised of channel-related metrics, context-related metrics, cell-related metrics and throughput information. These metrics are generated from a well-known non-rooted Android network monitoring application, G-NetTrack Pro. To the best of our knowledge, this is the first publicly available dataset that contains throughput, channel and context information for 5G networks. To supplement our real-time 5G production network dataset, we also provide a 5G large scale multi-cell ns-3 simulation framework. The availability of the 5G/mmwave module for the ns-3 mmwave network simulator provides an opportunity to improve our understanding of the dynamic reasoning for adaptive clients in 5G multi-cell wireless scenarios. The purpose of our framework is to provide additional information (such as competing metrics for users connected to the same cell), thus providing otherwise unavailable information about the basestation (eNodeB or eNB) environment and scheduling principle, to end user. Our framework permits other researchers to investigate this interaction through the generation of their own synthetic datasets.
Public code for our work: Activation to Saliency: Forming High-Quality Labels for Unsupervised Salient Object Detection
Project for Streaming Media 2021
Assets for Twitch's ACM MMSys 2020 Grand Challenge
This is the code for ACMMM 2020 paper 'Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos'.
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition (ICLR 2021)
DeeCamp 2019 Team 19
Author-Paper-Citation数据集
A Variegated Look at 5G in the Wild: Performance, Power, and QoE Implications (SIGCOMM '21)
This is a implementation of integrating a simple but efficient attention block in CNN + bidirectional LSTM for video classification.
Using attention network to extend image quality assessment algorithms for video quality assessment
A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
A curated list of video object segmentation (vos) papers, datasets, and projects.
Papers, code and datasets about deep learning and multi-modal learning for video analysis
BBR Bufferbloat in DASH Video Project published at WWW 2021
[TPAMI2023] Continual Learning for Blind Image Quality Assessment
A performance benchmark for blind video quality assessment (BVQA) models
train C3D with keras for action recognition
A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.