Pinned Repositories
CollaborativeFiltering
matlab, collaborative filtering, MovieLens dataset,The movie recommendation system
Context-Cluster
[ICLR 2023 Oral] Image as Set of Points
DCANet
[arXiv 2020] Deep Connected Attention Networks
EfficientMod
[ICLR 2024 poster] Efficient Modulation for Vision Networks
FCViT
A Close Look at Spatial Modeling: From Attention to Convolution
LIVE
[CVPR 2022 Oral] Towards Layer-wise Image Vectorization
Open-Set-Recognition
Open Set Recognition
pointMLP-pytorch
[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"
Rewrite-the-Stars
[CVPR 2024] Rewrite the Stars
LIVE-Layerwise-Image-Vectorization
[CVPR 2022 Oral] Towards Layer-wise Image Vectorization
ma-xu's Repositories
ma-xu/Open-Set-Recognition
Open Set Recognition
ma-xu/Dynamic-Conv
ma-xu/mmdetection3d-0.10.0
ma-xu/ARPL
[TPAMI 2021] Adversarial Reciprocal Points Learning for Open Set Recognition
ma-xu/Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
ma-xu/deepbedmap
Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.
ma-xu/develop.point
ma-xu/Diagrams
Diagrams in paper
ma-xu/FR-Loss-on-Mnist
Face Recognition Loss on Mnist, Pytorch implementation
ma-xu/GDANet
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)
ma-xu/Im2Vec
[CVPR 2021 Oral] Im2Vec Synthesizing Vector Graphics without Vector Supervision
ma-xu/MANet
Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)
ma-xu/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
ma-xu/Openset
ma-xu/OSR
ma-xu/PAConv
(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
ma-xu/PAIR
ma-xu/PCT_Pytorch
Pytorch implementation of PCT: Point Cloud Transformer
ma-xu/Point-Clouds-Transformer
Learning Deep Point Clouds Representation with Transformer
ma-xu/point-transformer
This is an unofficial implementation of the Point Transformer paper.
ma-xu/PointCloud
ma-xu/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
ma-xu/PointView-GCN
The code and dataset will be available soon here
ma-xu/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
ma-xu/RandLA-Net-pytorch
RandLA-Net's implementation with Pytorch
ma-xu/RandLA-Net-pytorch-1
:four_leaf_clover: Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
ma-xu/Self-Supervised-photo
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
ma-xu/sphereface_pytorch
A PyTorch Implementation of SphereFace.
ma-xu/torch-points3d
Pytorch framework for doing deep learning on point clouds.
ma-xu/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch