Fengqi Liu (FengqiLiu1221)

FengqiLiu1221

Geek Repo

Company:SJTU

Location:ShangHai, China

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Fengqi Liu's repositories

blender_renderer

Scripts for rendering shapenet data in blender

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awesome-NeRF

A curated list of awesome neural radiance fields papers

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BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.

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BYOL

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

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CLUE

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

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cutmix-semisup-seg

Semi-supervised semantic segmentation needs strong, varied perturbations

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DefRec_and_PCM

Self-Supervised Learning for Domain Adaptation on Point-Clouds

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Detail-Preserved-Point-Cloud-Completion-via-SFA

Code for the ECCV 2020 paper: Detail Preserved Point Cloud Completion via Separated Feature Aggregation

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ESL-CN

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

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few-shot-classification-leaderboard

Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

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MASA-SR

MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)

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mean-teacher

A state-of-the-art semi-supervised method for image recognition

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mvsnerf

[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.

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MVSNet_pytorch

PyTorch Implementation of MVSNet

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nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

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Open3D

Open3D: A Modern Library for 3D Data Processing

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OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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OpenSelfSup

Self-Supervised Learning Toolbox and Benchmark

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pcn

Code for PCN: Point Completion Network in 3DV'18 (Oral)

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PointContrast

Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>

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PointMixup

Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation

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Pointnet_Pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

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ProDA

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)

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PU-GCN

PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks (CVPR2021)

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reco

The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast".

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SceneEncoder

SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor (IJCAI 2020)

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simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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ST3D

(CVPR 2021) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection

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torch-points3d

Pytorch framework for doing deep learning on point clouds.

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