Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

a GPT3.5 web page, extremely lightweight and can be deployed statically, with no need for a server

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) 🔥

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

This is the official PyTorch implementation of our paper "Density-preserving Deep Point Cloud Compression" (CVPR 2022).

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

OpenXuantie - OpenC910 Core

Video codec based point cloud compression (V-PCC) test model

An integrated cache and memory access time, cycle time, area, leakage, and dynamic power model

A Fast and Extensible DRAM Simulator, with built-in support for modeling many different DRAM technologies including DDRx, LPDDRx, GDDRx, WIOx, HBMx, and various academic proposals. Described in the…

⚙ 自动化平安复旦助手 (带验证码识别)

PyTorch implementation of RandLA-Net

OpenMMLab's next-generation platform for general 3D object detection.

Geometry based point cloud compression (G-PCC) test model

Fast computation of Hausdorff distance in Python

Code for paper "ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation"

TensorFlow examples

Combination of Pointnet and Pointnet++ with KITTI Point Cloud Semantic Segmentation Dataset

Public repository for PicoEVB (Xilinx Artix XC7A50T based)

'Classic' FreeRTOS distribution. Started as Git clone of FreeRTOS SourceForge SVN repo. Submodules the kernel.

Discrete Cosine Transform (DCT) is one of the important image compression algorithms used in image processing applications. Several algorithms have been proposed over the last couple of decades to …