Abstract: Estimating the camera’s pose given images from a single camera is a traditional task in mobile robots and autonomous vehicles. This problem is called monocular visual odometry and often ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

Advances in natural language processing and large language models have sparked growing interest in modeling DNA, often referred to as the”language of life”. However, DNA modeling poses unique ...

RynnVLA-002 is an autoregressive action world model that unifies action and image understanding and generation. RynnVLA-002 intergrates Vision-Language-Action (VLA) model (action model) and world ...

Abstract: The temperature change is expected to induce nonlinear characteristics in the annual fluctuation of permafrost. The interferometric synthetic aperture radar (InSAR) technique has ...