Stars
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)
PyTorch deep learning projects made easy.
[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
Master the command line, in one page
A pytorch adversarial library for attack and defense methods on images and graphs
Kernel Point Convolution implemented in PyTorch
Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.
A complete computer science study plan to become a software engineer.
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
This is the matlab code of our BMVC paper: Correlation Filter Tracking: Beyond an Open-loop System, including DCF_SC ,KCF_SC, SAMF_SC and EDCF.
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
Building A Large-scale 5D Semantics Benchmark for Autonomous Driving
Source Code for FINCH Clustering Algorithm
Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018
Fully-Convolutional Point Networks for Large-Scale Point Clouds