IEEE

Transformer-Based Autoencoder Framework for Nonlinear Hyperspectral Anomaly Detection

Abstract: Recently, the autoencoder (AE) has received significant attention in the hyperspectral anomaly detection task. However, all existing AE-based anomaly detectors operate under the linear ...
IEEE

Learning Autoencoder Diffusion Models of Pedestrian Group Relationships for Multimodal Trajectory Prediction

Abstract: Pedestrian trajectory prediction is crucial for enabling dynamic obstacle avoidance in social robots. Variational autoencoders (VAEs) have shown potential in predicting multimodal ...
GitHub

Step1X-3D: Towards High-Fidelity and Controllable

Given the above high quality 3D assets, you can follow methods from Dora to preprocess data for VAE and 3D DiT training, and from MV-Adapter for ig2mv training. Shallow clone is faster and does not ...
Ars Technica

Why has Microsoft been routing example.com traffic to a company in Japan?

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...