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Software tools for agile quadrupeds, developed by the Robomechanics Lab at Carnegie Mellon University.
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained …
A novel paradigm for collecting and generating stereo training data using neural rendering
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation
SegStereo: Exploiting Semantic Information for Disparity Estimation
a list of papers, code, and other resources focus on deep learning SLAM system
Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)
Code release for "Towards Better Generalization: Joint Depth-Pose Learning without PoseNet".
Official PyTorch implementation of "Focus on Defocus" paper.
[CVPR2020] BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion
Python scripts for performing stereo depth estimation using the HITNET Tensorflow model.
PyTorch code and models for the DINOv2 self-supervised learning method.
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
SUES-200: A Multi-height Multi-scene Cross-view Image Benchmark Across Drone and Satellite
Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.
Code to extract stereo frame pairs from 3D videos, as used in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
Autonomous Movement from Simultaneous Localization and Mapping
[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors
A Fast and Robust Place Recognition Approach for Stereo Visual Odometry using LiDAR Descriptors