Stars
[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
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)
[CVPR 2022 Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
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)"
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"
Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.