[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

Visual-Inertial-Leg Odometry For Legged Robots

The code and data of DiverseDepth

Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding

FS6D: Few-Shot 6D Pose Estimation of Novel Objects, CVPR 2022

AutoRF: Learning 3D Object Radiance Fields from Single View Observations (CVPR 2022)

Code release for "Omni3D A Large Benchmark and Model for 3D Object Detection in the Wild"

[CVPR 2022 Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

健康学习到150岁 - 人体系统调优不完全指南

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Point-NeRF: Point-based Neural Radiance Fields

An Efficient Framework for Fast UAV Exploration

Source code for the paper DM-VIO: Delayed Marginalization Visual-Inertial Odometry

Instant neural graphics primitives: lightning fast NeRF and more

ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

The code for "Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions (AAAI 2022)"

Code base of the BEVDet series .

Trajectory Prediction with Graph-based Dual-scale Context Fusion

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking…

Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. N. Lau and S. Cai, doi: 10.1109/TSP.2021.3093769.

[CVPR 2021] DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"