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Cuiling Lan's Projects

aiskillsforwindows icon aiskillsforwindows

Contains samples for implementing Windows Skills by extending the preview base API and using exsting skill packages

as-gcn icon as-gcn

The model architecture of AS-GCN (for human action recognition)

awesome-detection-transformer icon awesome-detection-transformer

Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

bytetrack icon bytetrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

da_detection icon da_detection

Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"

hcn-pytorch icon hcn-pytorch

A pytorch reproduction of { Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation }.

hmr icon hmr

Project page for End-to-end Recovery of Human Shape and Pose

nni icon nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

noisy-as-clean-tip2020 icon noisy-as-clean-tip2020

PyTorch Code for "Noisy-As-Clean: Learning Self-supervised Denoising from Corrupted Image", TIP 2020.

pose-transfer icon pose-transfer

Code for the paper Progressive Pose Attention for Person Image Generation in CVPR19 (Oral).

python-first-practice icon python-first-practice

Only use 3 days to get the basic concept of Python (Chinese Version | Data Scientist Direction)

randperson icon randperson

Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification

semantics-aligned-representation-learning-for-person-re-identification icon semantics-aligned-representation-learning-for-person-re-identification

This is an implementation of AAAI'20 paper "Semantics-Aligned Representation Learning for Person Re-identification". This is an efficient person re-identification framework, which leverages dense semantics to address both the spatial misalignment and semantics misalignment challenges in person re-identification.

sysu-30k icon sysu-30k

SYSU-30k Dataset of "Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New Benchmark" https://arxiv.org/abs/1904.03845

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