activity
20232026
most citedSAMSNeRF: Segment Anything Model (SAM) Guides Dynamic Surgical Scene Reconstruction by Neural Radiance Field (NeRF)

1 citations · 1 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CY2026

AI Misuse in Education Is a Measurement Problem: Toward a Learning Visibility Framework

Eduardo Davalos, Yike Zhang

The rapid integration of conversational AI systems into educational settings has intensified ethical concerns about academic integrity, fairness, and students' cognitive developmen…

cs.HC2025

Designing Gaze Analytics for ELA Instruction: A User-Centered Dashboard with Conversational AI Support

Eduardo Davalos, Yike Zhang, Shruti Jain +9

Eye-tracking offers rich insights into student cognition and engagement, but remains underutilized in classroom-facing educational technology due to challenges in data interpretati…

cs.CV2025

WEBEYETRACK: Scalable Eye-Tracking for the Browser via On-Device Few-Shot Personalization

Eduardo Davalos, Yike Zhang, Namrata Srivastava +7

With advancements in AI, new gaze estimation methods are exceeding state-of-the-art (SOTA) benchmarks, but their real-world application reveals a gap with commercial eye-tracking s…

cs.CY2025

LLMs as Educational Analysts: Transforming Multimodal Data Traces into Actionable Reading Assessment Reports

Eduardo Davalos, Yike Zhang, Namrata Srivastava +5

Reading assessments are essential for enhancing students' comprehension, yet many EdTech applications focus mainly on outcome-based metrics, providing limited insights into student…

cs.HC2025

Beyond Instructed Tasks: Recognizing In-the-Wild Reading Behaviors in the Classroom Using Eye Tracking

Eduardo Davalos, Jorge Alberto Salas, Yike Zhang +7

Understanding reader behaviors such as skimming, deep reading, and scanning is essential for improving educational instruction. While prior eye-tracking studies have trained models…

eess.IV2024

Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2

Ange Lou, Yamin Li, Yike Zhang +2

The Segment Anything Model 2 (SAM 2) is the latest generation foundation model for image and video segmentation. Trained on the expansive Segment Anything Video (SA-V) dataset, whi…

cs.CV2024

Self-supervised Mamba-based Mastoidectomy Shape Prediction for Cochlear Implant Surgery

Yike Zhang, Eduardo Davalos, Dingjie Su +2

Cochlear Implant (CI) procedures require the insertion of an electrode array into the cochlea within the inner ear. To achieve this, mastoidectomy, a surgical procedure involving t…

cs.CV2024

3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments

Eduardo Davalos, Yike Zhang, Ashwin T. S. +3

This study presents a novel framework for 3D gaze tracking tailored for mixed-reality settings, aimed at enhancing joint attention and collaborative efforts in team-based scenarios…

cs.AI2024

A First Step in Using Machine Learning Methods to Enhance Interaction Analysis for Embodied Learning Environments

Joyce Fonteles, Eduardo Davalos, Ashwin T. S. +9

Investigating children's embodied learning in mixed-reality environments, where they collaboratively simulate scientific processes, requires analyzing complex multimodal data to in…

cs.CV2024

Monocular Microscope to CT Registration using Pose Estimation of the Incus for Augmented Reality Cochlear Implant Surgery

Yike Zhang, Eduardo Davalos, Dingjie Su +2

For those experiencing severe-to-profound sensorineural hearing loss, the cochlear implant (CI) is the preferred treatment. Augmented reality (AR) aided surgery can potentially imp…

cs.CV2023★ 1 cited

SAMSNeRF: Segment Anything Model (SAM) Guides Dynamic Surgical Scene Reconstruction by Neural Radiance Field (NeRF)

Ange Lou, Yamin Li, Xing Yao +2

The accurate reconstruction of surgical scenes from surgical videos is critical for various applications, including intraoperative navigation and image-guided robotic surgery autom…

eess.IV2023

Self-supervised Registration and Segmentation of the Ossicles with A Single Ground Truth Label

Yike Zhang, Jack Noble

AI-assisted surgeries have drawn the attention of the medical image research community due to their real-world impact on improving surgery success rates. For image-guided surgeries…