| 2026 | CHI | Exploring the Role of User Comments Throughout the Stages of Video-Based Task-Learning. | Nayoung Kim, Yotam Sechayk, Zhongyi Zhou, Takeo Igarashi |
| 2026 | CHI | No Pixel Left Behind: Filling Gaps in Anime Colorization. | Masahiro Kono, Akinobu Maejima, Yuki Koyama, Yotam Sechayk, Takeo Igarashi |
| 2026 | CHI | Improving Low-Vision Chart Accessibility via On-Cursor Visual Context. | Yotam Sechayk, Hennes Rave, Max Rdler, Mark Colley, Zhongyi Zhou, Ariel Shamir, Takeo Igarashi |
| 2025 | ASSETS | Task Mode: Dynamic Filtering for Task-Specific Web Navigation using LLMs. | Ananya Gubbi Mohanbabu, Yotam Sechayk, Amy Pavel |
| 2025 | ASSETS | A Longitudinal Autoethnography of Email Access for a Professional with Chronic Illness and ADHD: Preliminary Insights. | Veronica Pimenova, Yotam Sechayk, Fabricio Murai, Andrew Hundt, Shiri Dori-Hacohen |
| 2025 | ASSETS | VeasyGuide: Personalized Visual Guidance for Low-vision Learners on Instructor Actions in Presentation Videos. | Yotam Sechayk, Ariel Shamir, Amy Pavel, Takeo Igarashi |
| 2025 | SIGGRAPH | Confidence Estimation of Few-shot Patch-based Learning for Anime-style Colorization. | Yuexiang Ji, Akinobu Maejima, Yotam Sechayk, Yuki Koyama, Takeo Igarashi |
| 2024 | CHI | SmartLearn: Visual-Temporal Accessibility for Slide-based e-learning Videos. | Yotam Sechayk, Ariel Shamir, Takeo Igarashi |
| 2024 | RO-MAN | Data Augmentation for 3DMM-based Arousal-Valence Prediction for HRI. | Christian Arzate Cruz, Yotam Sechayk, Takeo Igarashi, Randy Gomez |