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
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.
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.
Segmentation models with pretrained backbones. PyTorch.
Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.
A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.
TFRecord reader for PyTorch