Name: Xingtong Liu
Type: User
Company: Intuitive Surgical, Inc.
Bio: Senior Machine Learning Engineer at Intuitive Surgical, Inc. | Ph.D. in Computer Science from Johns Hopkins University
Location: Cupertino, California
Blog: https://www.linkedin.com/in/xingtong-liu-ph-d-b43b27131/
Xingtong Liu's Projects
the GitHub Action setting up docker-compose command
Part of the code for EndoVis 2018 robot scene segmentation challenge
Official Repo for the paper "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)
Official Repo for the paper "Reconstructing Sinus Anatomy from Endoscopic Video -- Towards a Radiation-free Approach for Quantitative Longitudinal Assessment" (MICCAI 2020)
Outdated Keras/Theano version of self-supervised learning for dense depth estimation in monocular endoscopy
A file pages counter
Ultrasound elastography in CUDA for daVinci Research Kit
Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)
git-recover: recover deleted files in your repository
Graphic User Interface (GUI), drivers, and registration algorithms for accurate robot positioning (Kuka 6-joint industrial robot and Northern Digital Inc. optical tracking system)
Pytorch implementation of paper "Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks" (MICCAI 2018 workshop)
Implementation of paper "LumiPath - Towards Real-time Physically-based Rendering on Embedded Devices" (MICCAI 2019)
The official repository for MedSAM: Segment Anything in Medical Images.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Official Repo for the paper "Neighborhood Normalization for Robust Geometric Feature Learning" (CVPR 2021)
Transform ONNX model to PyTorch representation
Implementation of the PatchNormConv2D and EfficientPatchNormConv2D layers.
Parallel Maximum Clique Library
PyTorch implementation of Pointnet2/Pointnet++
Pytorch implementation of paper "Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration" (MICCAI 2020)
QLoRA: Efficient Finetuning of Quantized LLMs
Pytorch implementation of Relativistic GAN
Official repo for the paper "SAGE: SLAM with Appearance and Geometry Prior for Endoscopy" (ICRA 2022)
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.