Researcher.YuanYuhui (PkuRainBow)

PkuRainBow

Geek Repo

Company:SeniorResearcher@MicrosoftResearch

Location:Beijing

Home Page:researcher.yuanyuhui@gmail.com

Twitter:@RainbowYuhui

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Researcher.YuanYuhui's repositories

3D-Machine-Learning

A resource repository for 3D machine learning

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cheatsheets

Official Matplotlib cheat sheets

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cs344

Introduction to Parallel Programming class code

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deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

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dtr-prototype

Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616

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EOPSN

[CVPR 2021] Exemplar-Based Open-Set Panoptic Segmentation Network (EOPSN)

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few-shot-gan-adaptation

[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence

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kilonerf

Code for KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs

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LaneATT

Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)

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LeViT

LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

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MeshTransformer

Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"

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mocona

A library to decouple your Python project. Write code, not spaghetti.

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Motionformer

Code + pre-trained models for the paper Keeping Your Eye on the Ball Trajectory Attention in Video Transformers

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open_clip

An open source implementation of CLIP.

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putting-nerf-on-a-diet

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis Implementation

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Revisiting-Contrastive-SSL

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [2021]

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smplpix

SMPLpix: Neural Avatars from 3D Human Models

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triton

Development repository for the Triton language and compiler

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ViLT

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

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ViP

Official implementation of the paper Visual Parser: Representing Part-whole Hierarchies with Transformers

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