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My name is Xiangtai. I obtained my Ph.D. from Peking University.

I was a research fellow at MMlab@NTU, supervised by Prof. Chen Change Loy.

My published works are on my homepage, and I am open to discussing potential remote collaborations on research. Feel free to contact me via email at [email protected].

I love coding and building universal/larger/efficient models (pure vision and multi-modal large language models).

Moreover, most of my works, including the ones I have profoundly contributed to, are open-sourced on GitHub.

Xiangtai Li's Projects

openpifpaf icon openpifpaf

Implementation of "PifPaf: Composite Fields for Human Pose Estimation" in PyTorch.

openpsg icon openpsg

Benchmarking Panoptic Scene Graph Generation (PSG), ECCV'22

ov-seg icon ov-seg

This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

ovr-cnn icon ovr-cnn

A new framework for open-vocabulary object detection, based on maskrcnn-benchmark

paddleseg icon paddleseg

End-to-end image segmentation kit based on PaddlePaddle.

panoptic-deeplab icon panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

panopticapi icon panopticapi

COCO 2018 Panoptic Segmentation Task API (Beta version)

pkuthss icon pkuthss

LaTeX template for dissertations in Peking University

pose-ae-train icon pose-ae-train

Training code for "Associative Embedding: End-to-End Learning for Joint Detection and Grouping"

pose2seg icon pose2seg

Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

poseflow icon poseflow

PoseFlow: Efficient Online Pose Tracking (BMVC'18)

poseval icon poseval

Evaluation of multi-person pose estimation and tracking

preciseroipooling icon preciseroipooling

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).

prml icon prml

PRML algorithms implemented in Python

prml-1 icon prml-1

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

pumpkin-book icon pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

py-motmetrics icon py-motmetrics

:bar_chart: Benchmark multiple object trackers (MOT) in Python

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