no code implementations • 9 Mar 2024 • Jincheng Zhang, William Ringle, Andrew R. Willis
Manual identification of archaeological features in LiDAR imagery is labor-intensive, costly, and requires archaeological expertise.
no code implementations • 20 Feb 2024 • Collin Hague, Nick Kakavitsas, Jincheng Zhang, Chris Beam, Andrew Willis, Artur Wolek
This paper describes the hardware design and flight demonstration of a small quadrotor with imaging sensors for urban mapping, hazard avoidance, and target tracking research.
no code implementations • 15 Jan 2024 • Chris Beam, Jincheng Zhang, Nicholas Kakavitsas, Collin Hague, Artur Wolek, Andrew Willis
The impact of this can be significant, potentially allowing expansive virtual testing of robotic systems at specific deployment locations to develop solutions that are tailored to the environment and potentially outperforming solutions meant to work in completely generic environments.
no code implementations • 12 Jan 2024 • Jincheng Zhang, Artur Wolek, Andrew R. Willis
Results indicate that for UAVs with restrictive computing resources, DSOL is the best option.
no code implementations • 4 Jan 2024 • JunFeng Hou, Peiyao Wang, Jincheng Zhang, Meng Yang, Minwei Feng, Jingcheng Yin
Deploying end-to-end speech recognition models with limited computing resources remains challenging, despite their impressive performance.
no code implementations • 21 Oct 2023 • Jincheng Zhang, Jingjing Tang, Charalampos Saitis, György Fazekas
The diffusion model is trained to generate intermediate music sequences consisting of codebook indexes, which are then decoded to symbolic music using the VQ-VAE's decoder.
no code implementations • 21 Oct 2023 • Jincheng Zhang, György Fazekas, Charalampos Saitis
Diffusion models have shown promising results for a wide range of generative tasks with continuous data, such as image and audio synthesis.
no code implementations • 8 Apr 2023 • Jincheng Zhang, Kevin Brink, Andrew R Willis
To explore the possibility of 3D reconstruction via SfM from infrared images, this article proposes a photometric correction model for infrared sensors based on temperature constancy.
no code implementations • 20 May 2020 • Kevin M. Brink, Jincheng Zhang, Andrew R. Willis, Ryan E. Sherrill, Jamie L. Godwin
Maplets are generated in an overlapping manner and used to estimate the transform and uncertainty between those overlapping maplets, providing accurate and compact odometry or delta-pose representation between maplet's local frames.
no code implementations • 20 May 2020 • Jincheng Zhang, Andrew R. Willis, Jamie Godwin
This article describes a new approach for distributed 3D SLAM map building.