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Southwest Jiaotong University
- Chengdu
- https://zay002.github.io
- https://orcid.org/0009-0004-1159-8383
Highlights
- Pro
Stars
Pytorch implementation of Contact-GraspNet
The agent that grows with you
基于Vue3 + WebRTC + Nodejs + Flutter搭建的远程桌面控制、游戏串流
期刊分区查询小工具,包括新锐期刊分区表(2026)、中科院分区表升级版(2025)及国际期刊预警名单(2025、2024、2023、2021、2020)、JCR(2024、2023)、CCF推荐国际会议和期刊目录(2026)、计算领域高质量科技期刊分级目录(2025)。
Official AI skills for GSAP. These skills teach AI coding agents how to correctly use GSAP (GreenSock Animation Platform), including best practices, common animation patterns, and plugin usage.
Mastering Diverse Domains through World Models
Displays the China Computer Federation (CCF) recommended rank of international conferences and journals in the dblp, Google Scholar, Connected Papers and and Web of Science search results.
[ICML 2026 Spotlight] Official PyTorch implementation of “SplAttN: Bridging 2D and 3D with Gaussian Soft Splatting and Attention for Point Cloud Completion”.
Open-source, low-cost 10.5 GHz PLFM phased array RADAR system
基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版
Hybrid ROI-based pipeline for glass defect detection and fixed-size cropping.
[ICCV 2025, Highlight] BUFFER-X: Zero-Shot Point Cloud Registration
Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cloud Decoder, CVPR 2019
a point cloud renderer based on mitsuba3
Mitsuba 3: A Retargetable Forward and Inverse Renderer
Mitsuba 2: A Retargetable Forward and Inverse Renderer
rendering (optionally temporal) point clouds using Mitsuba2
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Implementation of PCN(Point Completion Network) in PyTorch.
PyTorch implementation of Pointnet2/Pointnet++
计算机学报Latex模板,适配Overleaf,修复了官方模板Bug,调整了排版,输出观感同官方模板一致,导入即用。
CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
⚡ Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and …
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️