activity
20202025
most citedSoloist: Generating Mixed-Initiative Tutorials from Existing Guitar Instructional Videos Through Audio Processing

27 citations · 43 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025

STAR: Smartphone-analogous Typing in Augmented Reality

Taejun Kim, Amy Karlson, Aakar Gupta +6

While text entry is an essential and frequent task in Augmented Reality (AR) applications, devising an efficient and easy-to-use text entry method for AR remains an open challenge.…

cs.HC20211 cited

Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning

Bryan Wang, Gang Li, Xin Zhou +3

Mobile User Interface Summarization generates succinct language descriptions of mobile screens for conveying important contents and functionalities of the screen, which can be usef…

cs.RO2021

"Grip-that-there": An Investigation of Explicit and Implicit Task Allocation Techniques for Human-Robot Collaboration

Karthik Mahadevan, Maurício Sousa, Anthony Tang +1

In ad-hoc human-robot collaboration (HRC), humans and robots work on a task without pre-planning the robot's actions prior to execution; instead, task allocation occurs in real-tim…

cs.HC202127 cited

Soloist: Generating Mixed-Initiative Tutorials from Existing Guitar Instructional Videos Through Audio Processing

Bryan Wang, Mengyu Yang, Tovi Grossman

Learning musical instruments using online instructional videos has become increasingly prevalent. However, pre-recorded videos lack the instantaneous feedback and personal tailorin…

cs.HC202015 cited

Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training

Geoffrey X. Yu, Tovi Grossman, Gennady Pekhimenko

Training a state-of-the-art deep neural network (DNN) is a computationally-expensive and time-consuming process, which incentivizes deep learning developers to debug their DNNs for…