by Fengming He | Feb 24, 2023 | 2023, Featured Publications, Fengming He, Karthik Ramani, Publications, Recent Publications, Xiyun Hu
Edges are one of the most ubiquitous geometric features of physical objects. They provide accurate haptic feedback and easy-totrack features for camera systems, making them an ideal basis for Tangible User Interfaces (TUI) in Augmented Reality (AR). We introduce Ubi...
by Xun Qian | Nov 10, 2022 | 2022, Featured Publications, Fengming He, Karthik Ramani, Karthik Ramani, Publications, Recent Publications, Tianyi Wang, Xiyun Hu, Xun Qian
Vision-based 3D pose estimation has substantial potential in hand-object interaction applications and requires user-specified datasets to achieve robust performance. We propose ARnnotate, an Augmented Reality (AR) interface enabling end-users to create custom data...
by Xun Qian | Apr 19, 2022 | 2022, Ananya Ipsita, Fengming He, Karthik Ramani, Publications, Recent Publications, Tianyi Wang, Xiyun Hu, Xun Qian
Augmented Reality (AR) experiences tightly associate virtual contents with environmental entities. However, the dissimilarity of different environments limits the adaptive AR content behaviors under large-scale deployment. We propose ScalAR, an integrated workflow...
by Tianyi Wang | Oct 12, 2021 | 2021, Featured Publications, Fengming He, Karthik Ramani, Karthik Ramani, Publications, Recent Publications, Tianyi Wang, Xiyun Hu, Xun Qian, Yuanzhi Cao
Freehand gesture is an essential input modality for modern Augmented Reality (AR) user experiences. However, developing AR applications with customized hand interactions remains a challenge for end-users. Therefore, we propose GesturAR, an end-to-end authoring tool...
by Tianyi Wang | Jul 3, 2020 | 2020, Featured Publications, Fengming He, Karthik Ramani, Karthik Ramani, Ke Huo, Publications, Recent Publications, Tianyi Wang, Xiyun Hu, Xun Qian, Yuanzhi Cao
Recognition of human behavior plays an important role in context-aware applications. However, it is still a challenge for end-users to build personalized applications that accurately recognize their own activities. Therefore, we present CAPturAR, an in-situ...
