Presentations

We want to congratulate the authors for the following accepted work to be presented at the first-ever Gaze Meets ML workshop on December 3rd, 2022 in conjunction with NeurIPS 2022. We will be updating this page with more detailed schedule for the workshop shortly.

Full Papers

• Contrastive Representation Learning for Gaze Estimation (Oral)
• Electrode Clustering and Bandpass Analysis of EEG Data for Gaze Estimation (Oral)
• Facial Composite Generation with Iterative Human Feedback (Oral)
• Intention Estimation via Gaze for Robot Guidance in Hierarchical Tasks (Oral)
• Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task (Oral)
• SecNet: Semantic Eye Completion in Implicit Field (Oral)
• Appearance-Based Gaze Estimation for Driver Monitoring (Poster)
• Decoding Attention from Gaze: A Benchmark Dataset and End-to-End Models (Poster)
• Federated Learning for Appearance-based Gaze Estimation in the Wild (Poster)
• Generating Attention Maps from Eye-gaze for the Diagnosis of Alzheimer’s Disease (Poster)
• Integrating eye gaze into machine learning using fractal curves (Poster)
• Learning to count visual objects by combining “what” and “where” in recurrent memoryd (Poster)
• Selection of XAI Methods Matters: Evaluation of Feature Attribution Methods for Oculomotoric Biometric Identification (Poster)
• Skill, or Style? Classification of Fetal Sonography Eye-Tracking Data (Poster)

Extended Abstracts

• Simulating Human Gaze with Neural Visual Attention (Oral)
• Comparing radiologists’ gaze and saliency maps generated by interpretability methods for chest x-rays (Poster)
• Do They Look Where They Go? Gaze Classification During Walking (Poster)
• Time-to-Saccade metrics for real-world evaluation (Poster)