KUN's starred repositories
SOFTX-D-22-00364
ODB2VTK converter
verilog-pcie
Verilog PCI express components
3D-Detection-Tracking-Viewer
3D detection and tracking viewer (visualization) for kitti & waymo dataset
3D-Multi-Object-Tracker
A project for 3D multi-object tracking
packnet-sfm
TRI-ML Monocular Depth Estimation Repository
progressive-coordinate-transforms
Progressive Coordinate Transforms for Monocular 3D Object Detection, NeurIPS 2021
SuperPoint
Efficient neural feature detector and descriptor
SuperPointPretrainedNetwork
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
X-StereoLab
SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE;PLUME Uber ATG
argoverse-api
Official GitHub repository for Argoverse dataset
LightTrack
[CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search
fpga-accel
The official repository of the local FPGA Development Kit.
CenterPoint-Fusion
The proposed approach enhances the CenterPoint baseline with a multimodal fusion mechanism. First, inspired by PointPainting, an off-the-shelf Mask-RCNN model trained from nuImages is employed to generate 2D object mask information based on the camera images. Furthermore, the Cylinder3D is also adopted to produce the 3D semantic information of the input LiDAR point cloud. Then, an improved version of CenterPoint takes the painted points(with 2D instance segmentation and 3D semantic segmentation) as inputs for accurate object detection. Specifically, we replace the RPN module in CenterPoint with modified Spatial-Semantic Feature Aggregation(SSFA) to well address multi-class detection. A simple pseudo labeling technique is also integrated in a semi-supervised learning manner. In addition, the Test Time Augmentation(TTA) strategy including multiple flip and rotation operations is applied during the inference time. Finally, the detections generated from multiple voxel resolutions (0.05m to 0.125m) are assembled with 3D Weighted Bounding Box Fusion(WBF) technique to produce the final results.
CVPR2024-Paper-Code-Interpretation
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理