6 citations · 11 across the 6 of their papers we have counts for
6 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…
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…
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…
MAMM: Motion Control via Metric-Aligning Motion Matching
Naoki Agata, Takeo Igarashi
We introduce a novel method for controlling a motion sequence using an arbitrary temporal control sequence using temporal alignment. Temporal alignment of motion has gained signifi…
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…
MicroGlam: Microscopic Skin Image Dataset with Cosmetics
Toby Chong, Alina Chadwick, I-chao Shen +2
In this paper, we present a cosmetic-specific skin image dataset. It consists of skin images from patches ( skin patches each from participants) of size unde…