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Jiapei Zheng's Projects

2dpass icon 2dpass

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

8pointdct_verilog icon 8pointdct_verilog

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 reduce the number of computations and memory requirements involved in the DCT computation algorithm. One of the algorithms is implemented here using Verilog HDL.

asap-net icon asap-net

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

cacti icon cacti

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

cylinder3d icon cylinder3d

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

d-pcc icon d-pcc

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

draco icon draco

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.

freertos icon freertos

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

gpt3.5-h5-lite-page icon gpt3.5-h5-lite-page

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

hello_fudan icon hello_fudan

⚙ 自动化平安复旦助手 (带验证码识别)

mmdetection3d icon mmdetection3d

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

mpeg-pcc-tmc2 icon mpeg-pcc-tmc2

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

picoevb icon picoevb

Public repository for PicoEVB (Xilinx Artix XC7A50T based)

pointnet12 icon pointnet12

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

ramulator icon ramulator

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 IEEE CAL 2015 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf

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