Exploring Richer and More Accurate Information via Frequency Selection for Image Restoration

This study integrate Bayesian neural network into Federated Learning framework.

"ROGPL: Robust Open-Set Graph Learning via Region-based Prototype Learning“

Code for paper "Denoising-Aware Contrastive Learning for Noisy Time Series" (IJCAI 2024)

CVPR 2024 Highlight: Frequency-Adaptive Dilated Convolution for Semantic Segmentation

This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis]

[ECCV 2024] TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data (an official implementation)

Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach"

[Pattern Recognition Letters 2024] Learning De-biased Prototypes for Few-shot Medical Image Segmentation

This is the source code repository of: "ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup" (KDD-2024)

Learning a Multi-Cluster Memory Prototype for Unsupervised Video Anomaly Detection

AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning

Equivariant Diffusion for Crystal Structure Prediction (ICML 2024)

[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]

This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024

PEM: Prototype-based Efficient MaskFormer for Image Segmentation

Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing

Official code of DaSC published in ECCV 2024

PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)

[ICCV2023] Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval

[ICLR 2023] Selective Frequency Network for Image Restoration

[CVPR 2024] This repo contains the code for our paper: Rethinking Few-shot 3D Point Cloud Semantic Segmentation

Vessel.js Ship Design Library

A list of papers that studies Novel Class Discovery

[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks