output
20102025
most citedTowards an Understanding of Situated AR Visualization for Basketball Free-Throw Training

81 citations

7 papers

cs.CV2025★ 4 cited

SC3EF: A Joint Self-Correlation and Cross-Correspondence Estimation Framework for Visible and Thermal Image Registration

Xi Tong, Xing Luo, Jiangxin Yang +1

Multispectral imaging plays a critical role in a range of intelligent transportation applications, including advanced driver assistance systems (ADAS), traffic monitoring, and nigh…

cs.HC2021★ 28 cited

Directions for 3D User Interface Research from Consumer VR Games

Anthony Steed, Tuukka M. Takala, Daniel Archer +2

With the continuing development of affordable immersive virtual reality (VR) systems, there is now a growing market for consumer content. The current form of consumer systems is no…

cs.HC2021★ 81 cited

Towards an Understanding of Situated AR Visualization for Basketball Free-Throw Training

Tica Lin, Rishi Singh, Yalong Yang +4

We present an observational study to compare co-located and situated real-time visualizations in basketball free-throw training. Our goal is to understand the advantages and concer…

cs.HC2021★ 12 cited

Ask Me or Tell Me? Enhancing the Effectiveness of Crowdsourced Design Feedback

Fritz Lekschas, Spyridon Ampanavos, Pao Siangliulue +2

Crowdsourced design feedback systems are emerging resources for getting large amounts of feedback in a short period of time. Traditionally, the feedback comes in the form of a decl…

physics.ed-ph2020

Celestial calendar-paintings and culture-based digital storytelling: cross-cultural, interdisciplinary, STEM/STEAM resources for authentic astronomy education engagement

Annette S. Lee, William Wilson, Jeff Tibbetts +5

In D(L)akota star knowledge, the Sun is known as Wi and the Moon is Han-Wi. They have an important relationship, husband and wife. The pattern of their ever-changing relationship i…

cs.CV2020

3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction

Shuaihang Yuan, Xiang Li, Anthony Tzes +1

In this paper, we deal with the problem to predict the future 3D motions of 3D object scans from previous two consecutive frames. Previous methods mostly focus on sparse motion pre…