6 citations · 13 across the 7 of their papers we have counts for
9 papers
No Pixel Left Behind: Filling Gaps in Anime Colorization
Masahiro Kono, Akinobu Maejima, Yuki Koyama +2
Animation production workflows often involve digital colorization of line art, where small unpainted regions ("gaps") frequently occur and remain an underexplored challenge. We con…
LandmarkLens: Predicting and Presenting Effective Landmarks for Mixed-Reality Urban Exploration
Chu Li, Yotam Sechayk, Jared Hwang +2
People with a poor sense of direction (SOD) struggle to build cognitive maps for effective spatial navigation, and existing navigation tools prioritize efficiency over spatial lear…
Cyber-Physical Systems for Accessibility and Ability Augmentation: Bridging Diverse Communities
Shuchang Xu, Riku Arakawa, Mina Huh +11
The powerful convergence of wearables, robotics, extended reality, and smart environments is expanding the design space for cyber-physical systems (CPS) that support and augment hu…
Exploring the Role of User Comments Throughout the Stages of Video-Based Task-Learning
Nayoung Kim, Yotam Sechayk, Zhongyi Zhou +1
Learning tasks through videos is a dynamic way to acquire skills by witnessing entire processes. However, compared to in-person demonstrations, videos may omit tacit knowledge, inc…
Improving Low-Vision Chart Accessibility via On-Cursor Visual Context
Yotam Sechayk, Hennes Rave, Max Rädler +4
Despite widespread use, charts remain largely inaccessible for Low-Vision Individuals (LVI). Reading charts requires viewing data points within a global context, which is difficult…
VeasyGuide: Personalized Visual Guidance for Low-vision Learners on Instructor Actions in Presentation Videos
Yotam Sechayk, Ariel Shamir, Amy Pavel +1
Instructors often rely on visual actions such as pointing, marking, and sketching to convey information in educational presentation videos. These subtle visual cues often lack verb…
Task Mode: Dynamic Filtering for Task-Specific Web Navigation using LLMs
Ananya Gubbi Mohanbabu, Yotam Sechayk, Amy Pavel
Modern web interfaces are unnecessarily complex to use as they overwhelm users with excessive text and visuals unrelated to their current goals. This problem particularly impacts s…
ImprovMate: Multimodal AI Assistant for Improv Actor Training
Riccardo Drago, Yotam Sechayk, Mustafa Doga Dogan +2
Improvisation training for actors presents unique challenges, particularly in maintaining narrative coherence and managing cognitive load during performances. Previous research on…
Data Augmentation for 3DMM-based Arousal-Valence Prediction for HRI
Christian Arzate Cruz, Yotam Sechayk, Takeo Igarashi +1
Humans use multiple communication channels to interact with each other. For instance, body gestures or facial expressions are commonly used to convey an intent. The use of such non…