Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation net…

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

Anomaly detection tutorial on univariate time series with an auto-encoder

Experiments on unsupervised point cloud reconstruction.

CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description

Implementation of a 3D Face Generative Model

Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

由时间空间成对组成的轨迹序列，通过循环神经网络lstm，自编码器auto-encode，时空密度聚类st-dbscan做异常检测

A large compression model for weather and climate data, which compresses a 400+ TB ERA5 dataset into a new 0.8 TB CRA5 dataset.

Face enhancer‏ - Denoising Auto Encoder by Tensorflow and Keras and skimage

[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction

Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation

Custom PyTorch model (VGG-16 Auto-Encoder) and custom criterion (Local Aggregation) for image clustering. The repo contains elaborated creation of fungi image data using factory method.

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

Programming assignments and labs from the TensorFlow Advanced Techniques Specialization offered by deeplearning.ai on Coursera.

Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'

The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.