lppllppl920
Senior Machine Learning Engineer at Intuitive Surgical, Inc. | Ph.D. in Computer Science from Johns Hopkins University
Intuitive Surgical, Inc.Cupertino, California
Pinned Repositories
Challenge2018
Part of the code for EndoVis 2018 robot scene segmentation challenge
DenseDescriptorLearning-Pytorch
Official Repo for the paper "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)
DenseReconstruction-Pytorch
Official Repo for the paper "Reconstructing Sinus Anatomy from Endoscopic Video -- Towards a Radiation-free Approach for Quantitative Longitudinal Assessment" (MICCAI 2020)
dVRK-UltrasoundElastography
Ultrasound elastography in CUDA for daVinci Research Kit
EndoscopyDepthEstimation-Pytorch
Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)
GraduationProject-KukaNeedleAccurateInsertion
Graphic User Interface (GUI), drivers, and registration algorithms for accurate robot positioning (Kuka 6-joint industrial robot and Northern Digital Inc. optical tracking system)
Learning-to-See-Forces
Pytorch implementation of paper "Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks" (MICCAI 2018 workshop)
NeighborhoodNormalization-Pytorch
Official Repo for the paper "Neighborhood Normalization for Robust Geometric Feature Learning" (CVPR 2021)
SAGE-SLAM
Official repo for the paper "SAGE: SLAM with Appearance and Geometry Prior for Endoscopy" (ICRA 2022)
stereo-transformer
Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.
lppllppl920's Repositories
lppllppl920/EndoscopyDepthEstimation-Pytorch
Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)
lppllppl920/SAGE-SLAM
Official repo for the paper "SAGE: SLAM with Appearance and Geometry Prior for Endoscopy" (ICRA 2022)
lppllppl920/DenseDescriptorLearning-Pytorch
Official Repo for the paper "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)
lppllppl920/DenseReconstruction-Pytorch
Official Repo for the paper "Reconstructing Sinus Anatomy from Endoscopic Video -- Towards a Radiation-free Approach for Quantitative Longitudinal Assessment" (MICCAI 2020)
lppllppl920/NeighborhoodNormalization-Pytorch
Official Repo for the paper "Neighborhood Normalization for Robust Geometric Feature Learning" (CVPR 2021)
lppllppl920/GraduationProject-KukaNeedleAccurateInsertion
Graphic User Interface (GUI), drivers, and registration algorithms for accurate robot positioning (Kuka 6-joint industrial robot and Northern Digital Inc. optical tracking system)
lppllppl920/Challenge2018
Part of the code for EndoVis 2018 robot scene segmentation challenge
lppllppl920/Learning-to-See-Forces
Pytorch implementation of paper "Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks" (MICCAI 2018 workshop)
lppllppl920/Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
lppllppl920/stereo-transformer
Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.
lppllppl920/MedSAM
The official repository for MedSAM: Segment Anything in Medical Images.
lppllppl920/pmc
Parallel Maximum Clique Library
lppllppl920/Projective-Spatial-Transformers
Pytorch implementation of paper "Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration" (MICCAI 2020)
lppllppl920/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
lppllppl920/actions-setup-docker-compose
the GitHub Action setting up docker-compose command
lppllppl920/cnn_desmoke
lppllppl920/git-recover
git-recover: recover deleted files in your repository
lppllppl920/lppllppl920.github.io
lppllppl920/LumiPath
Implementation of paper "LumiPath - Towards Real-time Physically-based Rendering on Embedded Devices" (MICCAI 2019)
lppllppl920/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
lppllppl920/my-websites
lppllppl920/napari-sam
lppllppl920/onnx2pytorch
Transform ONNX model to PyTorch representation
lppllppl920/open-instruct
lppllppl920/patchnorm
Implementation of the PatchNormConv2D and EfficientPatchNormConv2D layers.
lppllppl920/Pointnet2_PyTorch
PyTorch implementation of Pointnet2/Pointnet++
lppllppl920/qlora
QLoRA: Efficient Finetuning of Quantized LLMs
lppllppl920/RAFT
lppllppl920/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
lppllppl920/tfrecord
TFRecord reader for PyTorch