Code for our SIGKDD'25 paper "Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates" ...

We propose ManiPose, a manifold-constrained multi-hypothesis model for human-pose 2D-to-3D lifting. We provide theoretical and empirical evidence that, due to the depth ambiguity inherent to monocular ...

MW-UNet: Multi-Scale Weighted Connection UNet for Identification and Classification of Non-Meteorological Clutter over Big Radar Data ...

In this context, the use of machine learning methods, such as logistic regression and other classification algorithms, might potentially be advantageous. This research aims to identify some noteworthy ...

This video explores whether it’s realistically possible to operate a Formula 1 car from the 2000s without spending millions. From sourcing parts and managing electronics to fuel systems and ...