LujianYao

Tutorial_PRISMA_IGARSS_wildfires

Methane-detection-from-hyperspectral-imagery

Deep Learning based Remote Sensing Methods for Methane Detection in Airborne Hyperspectral Imagery

HyperbolicImageSegmentation

Hyperbolic Image Segmentation, CVPR 2022

acad-homepage.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

Wasserstein-barycenters

Wasserstein2Barycenters

PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)

DynamicalWassBarycenters_Gaussian

WBTransport

This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic Adaptation" at ICASSP21 and "Wasserstein Barycenter for Multi-Source Domain Adaptation" in CVPR21

wasserstein-barycenters

Python Implementation of "Fast Computation of Wasserstein Barycenters"

barycenters

Implementing Wasserstein barycenters, for finding average-case images

Wasserstein-K-means-for-clustering-probability-distributions

There are the codes needed for the paper: Wasserstein K-means for clustering probability distributions

Sinkhorn-Barycenters

Sinkhorn Barycenters via Frank-Wolfe algorithm

DeepRegistration

DeepCCA

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.

POP

Code for "Learning Orthogonal Prototypes for Generalized Few-shot Semantic Segmentation" [CVPR2023]

Semantic-SAM

Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

2D-Gaussian-Splatting

A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!

mctorch

A manifold optimization library for deep learning

Open-World-Semantic-Segmentation

[ICCV 2021] Deep Metric Learning for Open World Semantic Segmentation

CMW-Net

Pytorch implementation of TPAMI2023: CMW-NetCMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning

bare-wacv-2023

Code for "Adaptive Sample Selection for Robust Learning under Label Noise" accepted at IEEE/CVF WACV 2023.

t-loss

Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)

PNP

The source code and models for our paper PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction

SegNeXt

Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)

AFFormer

TopFormer

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation, CVPR2022

SeaFormer

[ICLR 2023] SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation

ShanghaiTech-poster-template

A self-made NeurIPS poster template, infused with the unique design style of ShanghaiTech.

Poster_Template

Poster Templates (PPT and LaTeX)

Stanford-LaTeX-Poster-Template

Stanford LaTeX poster template