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AI model ranks genetic variants from severe to mild disease mutations

EVE combines evolutionary insights with human population data to identify damaging genetic mutations, improving variant ...
EMBO Press

Expansion omics: from expansion microscopy to spatial omics

Tissue expansion, originally developed for super-resolution imaging, has become a foundation for expansion omics (ExO), a ...
Scientific Research Publishing

Covariant-Scale: Riemannian Manifold Learning for Scale-Invariant Video Anomaly Detection ()

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs ...
GitHub

SVG: Latent Diffusion Model without Variational Autoencoder

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.
IEEE

Sparse and Contractive Graph-Based Variational Encoder-Decoder with Multihead Attention for Robust Spatiotemporal Activity Recognition

Abstract: With the increasing adoption of various sensors, human action recognition has gained significant attention across multiple domains, including person surveillance and human-robot interaction.
GitHub

About An implement of AutoEncoder, Transformer and DDPM with cross-attention for Meteorlogical Graph seq-seq prediction

Feature extracting using basic Autoencoder with ConvNeXtV2 backbone or BYOL (not experimented) Implicit vector predicting using Transformer with both encoder and decoder Image generating using DDPM ...