Digital Assistance for Quality Assurance: Augmenting Workspaces Using Deep Learning for Tracking Near-Symmetrical Objects. - João Belo 001; Andreas Fender; Tiare M. Feuchtner; Kaj Grønbæk (ISS, 2019)

XRgonomics: Facilitating the Creation of Ergonomic 3D Interfaces. - João Marcelo Evangelista Belo; Anna Maria Feit; Tiare M. Feuchtner; Kaj Grønbæk (CHI, 2021)

AUIT - the Adaptive User Interfaces Toolkit for Designing XR Applications. - João Marcelo Evangelista Belo; Mathias N. Lystbæk; Anna Maria Feit; Ken Pfeuffer; Peter Kán; Antti Oulasvirta; Kaj Grønbæk (UIST, 2022)

Pareto Optimal Layouts for Adaptive Mixed Reality. - Christoph Albert Johns; João Marcelo Evangelista Belo; Clemens Nylandsted Klokmose; Ken Pfeuffer (CHI Extended Abstracts, 2023)

XAIR: A Framework of Explainable AI in Augmented Reality. - Xuhai Xu; Anna Yu; Tanya R. Jonker; Kashyap Todi; Feiyu Lu; Xun Qian; João Marcelo Evangelista Belo; Tianyi Wang 004; Michelle Li; Aran Mun; Te-Yen Wu; Junxiao Shen; et al. (CHI, 2023)

Towards Flexible and Robust User Interface Adaptations With Multiple Objectives. - Christoph Albert Johns; João Marcelo Evangelista Belo; Anna Maria Feit; Clemens Nylandsted Klokmose; Ken Pfeuffer (UIST, 2023)

XAIR: A Framework of Explainable AI in Augmented Reality. - Xuhai Xu; Mengjie Yu; Tanya R. Jonker; Kashyap Todi; Feiyu Lu; Xun Qian; João Marcelo Evangelista Belo; Tianyi Wang 004; Michelle Li; Aran Mun; Te-Yen Wu; Junxiao Shen; et al. (CoRR, 2023)

Mixed Reality UI Adaptations with Inaccurate and Incomplete Objectives. - Christoph Albert Johns; João Marcelo Evangelista Belo (CoRR, 2023)

CADTrack: Instructions and Support for Orientation Disambiguation of Near-Symmetrical Objects. - João Marcelo Evangelista Belo; Jon Wissing; Tiare M. Feuchtner; Kaj Grønbæk (Proc. ACM Hum. Comput. Interact., 2023)

Self-Supervised Contrastive Learning for Videos using Differentiable Local Alignment. - Keyne Oei; Amr Gomaa; Anna Maria Feit; João Belo 001 (BMVC Workshops, 2024)