20 citations · 41 across the 6 of their papers we have counts for
6 papers
RoCap: A Robotic Data Collection Pipeline for the Pose Estimation of Appearance-Changing Objects
Jiahao Nick Li, Toby Chong, Zhongyi Zhou +4
Object pose estimation plays a vital role in mixed-reality interactions when users manipulate tangible objects as controllers. Traditional vision-based object pose estimation metho…
Exploiting and Guiding User Interaction in Interactive Machine Teaching
Zhongyi Zhou
Humans are talented with the ability to perform diverse interactions in the teaching process. However, when humans want to teach AI, existing interactive systems only allow humans…
Gesture-aware Interactive Machine Teaching with In-situ Object Annotations
Zhongyi Zhou, Koji Yatani
Interactive Machine Teaching (IMT) systems allow non-experts to easily create Machine Learning (ML) models. However, existing vision-based IMT systems either ignore annotations on…
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion
Zhihang Zhong, Mingdeng Cao, Xiao Sun +5
Rolling shutter (RS) distortion can be interpreted as the result of picking a row of pixels from instant global shutter (GS) frames over time during the exposure of the RS camera.…
Enhancing Model Assessment in Vision-based Interactive Machine Teaching through Real-time Saliency Map Visualization
Zhongyi Zhou, Koji Yatani
Interactive Machine Teaching systems allow users to create customized machine learning models through an iterative process of user-guided training and model assessment. They primar…
SyncUp: Vision-based Practice Support for Synchronized Dancing
Zhongyi Zhou, Anran Xu, Koji Yatani
The beauty of synchronized dancing lies in the synchronization of body movements among multiple dancers. While dancers utilize camera recordings for their practice, standard video…