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hrhlalala's Projects

aerialseg icon aerialseg

A collection of algorithm pipelines for segmentation of aerial imagery implemented by PyTorch.

albumentations icon albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

awesome-semantic-segmentation-pytorch icon awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

cs228_pgm icon cs228_pgm

🌀 Stanford CS 228 - Probabilistic Graphical Models

cse-unsw icon cse-unsw

My UNSW courses experiences and materials

decouple-traj icon decouple-traj

Official Code for "Fully Decoupling Trajectory and Scene Encoding for Lightweight Heatmap-oriented Trajectory Prediction"

deformable-detr icon deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

detr icon detr

End-to-End Object Detection with Transformers

efficient-segmentation-networks icon efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

human-path-prediction icon human-path-prediction

State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.

icnet-pytorch icon icnet-pytorch

ICNet implemented by pytorch, for real-time semantic segmentation on high-resolution images, mIOU=71.0 on cityscapes, single inference time is 19ms, FPS is 52.6.

jekyll-toc icon jekyll-toc

Jekyll plugin which generates a table of contents.

mg-gan icon mg-gan

Code for our paper "MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction" published at ICCV 2021.

next-prediction icon next-prediction

Code and model for "Peeking into the Future: Predicting Future Person Activities and Locations in Videos", Liang et al, CVPR 2019

next-prediction-pytorch icon next-prediction-pytorch

Reimplementation of "Peeking into the Future: Predicting Future Person Activities and Locations in Videos" using PyTorch

p2t icon p2t

Code for "Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans" https://arxiv.org/abs/2001.00735

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