Xu Ma (ma-xu)

ma-xu

Geek Repo

Location:Northeastern University

Home Page:https://ma-xu.github.io/

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Xu Ma's repositories

pointMLP-pytorch

[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"

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Open-Set-Recognition

Open Set Recognition

LIVE

[CVPR 2022 Oral] Towards Layer-wise Image Vectorization

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CV_papers

A paper List for computer vision.

awesome-vision-transformers-comparison

A detailed comparsion of Recent Vision Transformers on ImageNet1k

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ma-xu.github.io

personal blog website

metric_learning

Deep Metric Learning

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3D-Detection-Tracking-Viewer

3D detection and tracking viewer (visualization) for kitti & waymo dataset

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ARPL

[TPAMI 2021] Adversarial Reciprocal Points Learning for Open Set Recognition

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Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

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cutlass

CUDA Templates for Linear Algebra Subroutines

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DAFormer

Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

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detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

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Detic

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

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detic-mmdet

OpenMMLab Detection Toolbox and Benchmark

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diffvg

Differentiable Vector Graphics Rasterization

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FCVT-pytorch

Fully Convolutional Vision Transformer

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Im2Vec

[CVPR 2021 Oral] Im2Vec Synthesizing Vector Graphics without Vector Supervision

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MANet

Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)

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point-transformer

This is an unofficial implementation of the Point Transformer paper.

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PointView-GCN

The code and dataset will be available soon here

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PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

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Self-Supervised-photo

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

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SeMask-Segmentation

[Preprint] SeMask: Semantically Masked Transformers for Semantic Segmentation.

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