SYLan2019

DSTAGNN

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.

MH-ASTIGCN

MULTI HEAD SELF-ATTENTION BASED SPATIAL-TEMPORAL INFORMATION GRAPH CONVOLUTIONAL NETWORKS FOR TRAFFIC FLOW FORECASTING

Skip-Attention-GAN

This repository contains PyTorch implementation of the following paper: SAGAN: SKIP-ATTENTION GAN FOR ANOMALY DETECTION.

Transformer-Gan-Anomaly-Detection

A Transformer-based GAN for Anomaly Detection, International Conference on Artificial Neural Networks, (ICANN2022).

STDOD

A visual object tracking method where we take into account the difference between occlusion and self-deformation in a spatial-temporal regularised DCF filter. Robust Visual Object Tracking with Spatiotemporal Regularisation and Discriminative Occlusion Deformation, International Conference on Image Processing (ICIP). IEEE, 2021, pp. 1879-1883.

DLAHSD

DLAHSD: Dynamic label adopted in auxiliary head for SAR detection. An efficient SAR-ship detector based on center point.

MRRNet

This repository contains PyTorch implementation of the following paper: Face Super-Resolution with Spatial Attention Guided by Multiscale Receptive-Field Features.

GanNeXt

GanNeXt: A New Convolutional GAN for Anomaly Detection

MLP-MHCA

This is a visual object tracker which is a modified version of the python framework TransT based on Pytorch, also borrowing from PySOT. We would like to thank their authors for providing great frameworks and toolkits.

VHKOR

Visual-Haptic-Kinesthetic Object Recognition with Multimodal Transformer

FOAD-MFFF

Flow-based one-class anomaly detection with Multi-frequency Feature fusion. (ICIP 2023)

SANF-AD

A SEMANTICS-AWARE NORMALIZING FLOW MODEL FOR ANOMALY DETECTION

SiamTrackers

(2020-2021)The PyTorch version of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCar, SiamBAN, Ocean, LightTrack ; Visual object tracking based on deep learning

2020AICITY_Code_From_Top_Teams

The code from the top teams in the 2020 AI City Challenge

DBGNN

A dual branch graph neural network for spatial interpolation in traffic scene

DynamicFlowNet

an unsupervised anomaly detection approach called DynamicFlowNet that utilizes dynamic graph and normalizing flow to explore complex dependencies in time series data.

Lsy-homepage

metaheuristics

Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)

Myhomepage

OptimizedImageEnhance

Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.

SANFFF-AD

Semantic-Aware Normalizing Flow with Feature Fusion for Image Anomaly Detection（extend）

SYLan2019

SYLan2019.github.io

TrackingAlgoCollection

A collection of common tracking algorithms

train_cnn-rnn

cnn+rnn: vgg(vgg16,vgg19)+rnn(LSTM, GRU), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU), inception_v4+rnn(LSTM, GRU), inception_resnet_v2+rnn(LSTM, GRU),.....