Name: Qianyue He
Type: User
Company: Tsinghua SIGS
Bio: AI Student Master grade III@Tsinghua SIGS (incoming grad, 2025 summer). BEng in Automation@XJTU.
Rendering and HPC enthusiast.
Location: Nanshan district, Shenzhen
Blog: https://enigmatisms.github.io/
Qianyue He's Projects
Linux docker for the DNN accelerator exploration infrastructure composed of Accelergy and Timeloop
A physically based mesh renderer named Ada Path Tracer based on Taichi lang
Gallery for AdaPT renderer. The repo holds some good-looking rendering result and the scene file / obj file.
Implementations of some important or interesting algos.
Self-targeting codes backups based on OpenCV3 & ROS.
语音信号处理实验代码
A curated list of awesome Taichi applications, courses, demos and features.
Interesting curses pratices.
Rust nannou fast testing workspace.
6-axis robot simulation in rviz and Gazebo, control implemented with ROS.
Modified Bosch Rexroth locator with trajectory evaluation.
My own implementation of CVPR 2017 paper: Dynamic Routing Between Capsules
关于谷歌slam地图库cartographer的源码注释
Google's cartographer convenient tester (automatic bag runner and trajectory output). Easy to compile after pulling.
A LaTeX template framework for Chinese journals
CIFAR-10 raw jpeg images
SIGS torch classifiers for tranfer learning
Tips and tricks to optimize your C++ code
Useful little tools implemented in C++.
🎉CUDA 笔记 / 高频面试题汇总 / C++笔记,个人笔记,更新随缘: sgemm、sgemv、warp reduce、block reduce、dot product、elementwise、softmax、layernorm、rmsnorm、hist etc.
Templated high performance CUDA/C++17 megakernel & wavefront software path tracer: a renderer with Analysis-Driven Optimization
CUDA accelerated linear algebra / CPU acceleration algorithms.
CUDA and torch mixture would definitely be interesting.
Convex optimization course project: hazy image stitching
(Useless for now) Convex optimization (by Prof. Xin Jin) course experiment (TA solution.): triangulation and reprojection error minimization.
[SIGGRAPH Asia 2024 (Journal Track)] Official code release for paper: "DARTS: Diffusion Approximated Residual Time Sampling for Time-of-flight Rendering in Homogeneous Scattering Media"
数字图像处理(DIP)课程作业
分布式机器学习实验指导书 (Homework end)
Distributed machine learning homework.