Danpeng Chen's repositories
AdelaiDepth
This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.
ALIKE
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction
AR-Depth
Fast Depth Densification for Occlusion-Aware Augmented Reality
carla
Open-source simulator for autonomous driving research.
deep-learning-localization-mapping
A collection of deep learning based localization models
denoise-imu-gyro
Convolutional Neural Networks for Denoising Gyroscopes of Low-Cost IMUs
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
dip18
Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time
FlameGraph
Stack trace visualizer
Fusion-DHL
Fusion-DHL: WiFi, IMU, and Floorplan Fusion for Dense History of Locations in Indoor Environments
GetDroidModel
Xamarin Helper Library to get the name of the current Android device.
HexPlane
Official code for CVPR 2023 Paper, HexPlane: A Fast Representation for Dynamic Scenes
ios_logger
Application for camera and sensor data logging (iOS)
LIMU-BERT-Public
A lite BERT for IMU sensor data
Mean-Shifted-Anomaly-Detection
Mean-Shifted Contrastive Loss for Anomaly Detection
nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
poolformer
PoolFormer: MetaFormer is Actually What You Need for Vision (CVPR 2022 Oral)
rectified-features
[ECCV 2020] Single image depth prediction allows us to rectify planar surfaces in images and extract view-invariant local features for better feature matching
RepVGG
RepVGG: Making VGG-style ConvNets Great Again
SLAM-BOOK
这是一本关于SLAM的书稿，希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到400页左右，书稿每章对应的代码也会被整理出来。
spacetimeformer
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
suds
Scalable Urban Dynamic Scenes
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
theseus
A library for differentiable nonlinear optimization
unisurf
[ICCV'21] UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
VIODE
VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments
Visual_SLAM_Related_Research
视觉(语义) SLAM 相关研究跟踪
vnn
Vector Neurons: A General Framework for SO(3)-Equivariant Networks