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Python efficient farthest point sampling (FPS) library. Compatible with numpy.
the CPU implementation of bucket based farthest point sampling, achieves 7-81x speedup than the conventional implementation
Hands-on experience programming AI Engines using Vitis Unified Software Platform
A LiDAR point cloud cluster for panoptic segmentation
A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on Traditional Computer Vision in the Age of Deep Learning
Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps (chen2021icra)
RapidLayout: Fast Hard Block Placement of FPGA-Optimized Systolic Arrays using Evolutionary Algorithms
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
[ICTA'21] First Prize Winner of the 2021 DIGILENT Cup, China College Integrated Circuit Competition
A versatile (cross-)toolchain generator.
Multi-purpose proxy service management system
A Python-implemented toy network that transmits data through audio connections.
Fast Implementation of DBSCAN using Kdtree for acceleration. The example is clustering point cloud(PCL library used).
Application Acceleration with High-Level Synthesis (AAHLS) - National Taiwan University, 2021 Fall
This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.
Pynq computer vision examples with an OV5640 camera
Python on Zynq FPGA for Convolutional Neural Networks
Python on Zynq FPGA for Convolutional Neural Networks
The code of our paper: 'Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples', in Tensorflow.
Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enri…
Robust Adversarial Perturbation on Deep Proposal-based Models