Wenxuan (Rubics-Xuan)

Rubics-Xuan

Geek Repo

Company:Institute of Automation, Chinese Academy of Sciences || Beijing Academy of Artificial Intelligence

Location:Beijing

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Wenxuan's repositories

TransBTS

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).

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MRES

This repo holds the official code and data for "Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation", accepted by CVPR 2024.

IVG

This repo holds the official code and data for "Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions", which is accepted by ACL 2024 (Findings).

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FreMIM

This repo holds the official code for the paper "FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation".

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Med-DANet

Med-DANet Series

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Rubics-Xuan

GitHub Readme Stats

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CM-MaskSD

This repo holds the official codes for CM-MaskSD, accepted by IEEE-TMM 2024.

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Explain_Metric_Learning

Code for paper: "Visual Explanation for Deep Metric Learning"

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Haiway

Haiway Edge Computing OS

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HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

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HSI-Traditional-to-Deep-Models

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

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open_brats2020

Top 10 brats 2020 Solution

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OPT_Questioner

Official PyTorch implementation of the paper "Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense Captioner"

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RepVGG

RepVGG: Making VGG-style ConvNets Great Again

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Rubics-Xuan.github.io

Websites for all our papers.

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GPTs

leaked prompts of GPTs

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X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

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