[Recruitment]
Associate/Assistant Professor in Artificial Intelligence for Space-Enabled Technologies, Durham University

We are looking for applicants in Artificial Intelligence, Computer Vision, Edge Computing, Digital Twins, Human Computer Interaction, User Modelling, Robotics or Resilient Computing with potentials/achievements in informing space applications.

The post hoder will enjoy 1) a permanent (equivalent to US tenured) position at a top 100 university, 2) significantly reduced teaching, 3) a fully-funded PhD, 4) travel budget, 5) chance for a 2-year fully-funded Post-Doc.

Qi Feng

Waseda University
PhD (Co-supervised with Prof. Shigeo Morishima)
, 2019 - 2022

Waseda University
, Japan
  • Research topic: Depth reconstruction from 360 degree RGB images

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Grants Involved

Publications with the Team

Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation
Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation Core A* Conference Core A* Conference
Proceedings of the 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2023
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
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3D Car Shape Reconstruction from a Contour Sketch using GAN and Lazy Learning
3D Car Shape Reconstruction from a Contour Sketch using GAN and Lazy Learning  Impact Factor: 3.5 Citation: 22#
Visual Computer (VC), 2022
Naoki Nozawa, Hubert P. H. Shum, Qi Feng, Edmond S. L. Ho and Shigeo Morishima
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360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network
360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network Core A* Conference Core A* Conference Citation: 10#
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2022
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
Webpage Paper Github YouTube Part 1 YouTube Part 2 Presentation Slides Cite BibTeX Cite RIS Cite Plain
Bi-Projection Based Foreground-Aware Omnidirectional Depth Prediction
Bi-Projection Based Foreground-Aware Omnidirectional Depth Prediction
Proceedings of the 2021 Visual Computing (VC), 2021
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
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Resolving Hand-Object Occlusion for Mixed Reality with Joint Deep Learning and Model Optimization
Resolving Hand-Object Occlusion for Mixed Reality with Joint Deep Learning and Model Optimization  Impact Factor: 1.1
Computer Animation and Virtual Worlds (CAVW) - Proceedings of the 2020 International Conference on Computer Animation and Social Agents (CASA), 2020
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
Webpage Paper Source Code YouTube Part 1 YouTube Part 2 Cite BibTeX Cite RIS Cite Plain
Foreground-Aware Dense Depth Estimation for 360 Images
Foreground-Aware Dense Depth Estimation for 360 Images
Journal of WSCG - Proceedings of the 2020 International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), 2020
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
Webpage Paper Supplementary Material YouTube Presentation Slides Cite BibTeX Cite RIS Cite Plain
Occlusion for 3D Object Manipulation with Hands in Augmented Reality
Occlusion for 3D Object Manipulation with Hands in Augmented Reality
Proceedings of the 2018 Meeting on Image Recognition and Understanding (MIRU), 2018
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
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Resolving Occlusion for 3D Object Manipulation with Hands in Mixed Reality
Resolving Occlusion for 3D Object Manipulation with Hands in Mixed Reality  Citation: 12#
Proceedings of the 2018 ACM Symposium on Virtual Reality Software and Technology (VRST) Posters, 2018
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
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Links

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Last updated on 17 February 2024
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