Xu Ma's repositories
Open-Set-Recognition
Open Set Recognition
awesome-vision-transformers-comparison
A detailed comparsion of Recent Vision Transformers on ImageNet1k
Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
ARPL
[TPAMI 2021] Adversarial Reciprocal Points Learning for Open Set Recognition
DAFormer
Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
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.
GDANet
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)
Im2Vec
[CVPR 2021 Oral] Im2Vec Synthesizing Vector Graphics without Vector Supervision
MANet
Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)
PAConv
(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
PCT_Pytorch
Pytorch implementation of PCT: Point Cloud Transformer
Point-Clouds-Transformer
Learning Deep Point Clouds Representation with Transformer
point-transformer
This is an unofficial implementation of the Point Transformer paper.
Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
PointView-GCN
The code and dataset will be available soon here
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
RandLA-Net-pytorch
RandLA-Net's implementation with Pytorch
RandLA-Net-pytorch-1
:four_leaf_clover: Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
Self-Supervised-photo
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
SeMask-Segmentation
[Preprint] SeMask: Semantically Masked Transformers for Semantic Segmentation.
sphereface_pytorch
A PyTorch Implementation of SphereFace.
torch-points3d
Pytorch framework for doing deep learning on point clouds.