irmvlab Goto Github PK
Name: Intelligent Robotics and Machine Vision Lab
Type: Organization
Bio: Intelligent Robotics and Machine Vision Lab at Shanghai Jiao Tong University
Location: China
Blog: http://irmv.sjtu.edu.cn/
Name: Intelligent Robotics and Machine Vision Lab
Type: Organization
Bio: Intelligent Robotics and Machine Vision Lab at Shanghai Jiao Tong University
Location: China
Blog: http://irmv.sjtu.edu.cn/
Codes for ECCV2022 paper "What matters in supervised 3D scene flow"
3D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating Point Motion (TII 2022)
Codes for ICRA2021 paper "Unsupervised Learning of 3D Scene Flow from Monocular Camera"
Here are the source code, pretrained models and dataset for paper "Soft Manipulator Fault Detection and Identification Using ANC-based LSTM"
Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"
Codes of TNNLS2022 paper "Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base Controllers"
Codes for TIM 2022 paper "Residual 3D Scene Flow Learning with Context-Aware Feature Extraction"
Code and pretrained models for our TIP work "DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization".
Dataset for 3D tip force estimation of the cable-driven soft robot
official code for DDS-SLAM: Dense Semantic Neural SLAM for Deforming Endoscopic Scenes
[ICCV 2023] DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds
Codes for "DetFlowTrack: 3D Multi-object Tracking based on Simultaneous Optimization of Object Detection and Scene Flow Estimation"
[CVPR 2024] DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement
Code and pretrained models for Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments.
Code and pretrained models for our paper "Domain-invariant Similarity Activation Map Metric Learning for Retrieval-based Long-term Visual Localization"
Code for "Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry"
Codes for paper "DSLO: Deep Sequence LiDAR Odometry Based on Inconsistent Spatio-temporal Propagation".
[ECCV 2024] DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment
EfficientLO-Net: Efficient 3D Deep LiDAR Odometry (PAMI 2022)
Neural Implicit SLAM for Endoscopy
ECCV 2024
Codes for TIP2021 paper "Hierarchical Attention Learning of Scene Flow in 3D Point Clouds"
Codes for TCSVT2022 paper "3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose fromMonocular Video"
Codes for "End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization"
Interactive Multi-scale Fusion of 2D and 3D Features for Multi-object Tracking (TITS 2023)
Source code of LHMap-loc
Official code for LNI-SLAM: Neural Implicit SLAM with Lines
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