A couple of tutorials showing how to extract faults from raster data using the fault analysis toolbox

(NeurIPS'22) SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

A Pytorch implementation of the optimal transport kernel embedding

[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

[CVPR 2023] Masked Image Training for Generalizable Deep Image Denoising https://arxiv.org/abs/2303.13132

Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising (CVPR 2023)

Stable Diffusion web UI

Robust Equivariant Imaging (REI), CVPR'2022 Oral

Code release for ConvNeXt model

A playbook for systematically maximizing the performance of deep learning models.

Robust Speech Recognition via Large-Scale Weak Supervision

3D Fault Segmentation by U-Net

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

ICPR 2020: Facial Expression Recognition using Residual Masking Network

Local Multi-Head Channel Self-Attention for FER2013

Official implementation of DAN

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes. CVPR 2020

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)

segmenting in 3D using deep learning