Presentations

We want to congratulate the authors for the following accepted work to be presented at the Gaze Meets ML workshop on December 16, 2023 in conjunction with NeurIPS 2023. We will be updating this page with more detailed schedule for the workshop shortly.

Full Papers

• EG-SIF: Improving Appearance Based Gaze Estimation using Self Improving Features (Oral)
• Planning by Active Sensing (Oral)
• An Attention-based Predictive Agent for Handwritten Numeral/Alphabet Recognition via Generation (Oral)
• SuperVision: Self-Supervised Super-Resolution for Appearance-Based Gaze Estimation (Oral)
• Memory-Based Sequential Attention (Oral)
• Interaction-aware Dynamic 3D Gaze Estimation in Videos (Oral)
• Crafting Good Views of Medical Images for Contrastive Learning via Expert-level Visual Attention (Oral)
• StatTexNet: Evaluating the Importance of Statistical Parameters for Pyramid-Based Texture and Peripheral Vision Models (Poster)
• Leveraging Multi-Modal Saliency and Fusion for Gaze Target Detection (Poster)
• Detection of Drowsiness and Impending Microsleep from Eye Movements (Poster)
• Exploring Foveation and Saccade for Improved Weakly-Supervised Localization (Poster)
• Evaluating Peripheral Vision as an Input Transformation to Understand Object Detection Model Behavior (Poster)
• Temporal Understanding of Gaze Communication with GazeTransformer (Poster)
• SAM meets Gaze: Passive Eye Tracking for Prompt-based Instance Segmentation (Poster)
• GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model (Poster)

Extended Abstracts

• Human-like multiple object tracking through occlusion via gaze-following (Poster)
• FoVAE: Reconstructive Foveation as a Self-Supervised Variational Inference Task for Visual Representation Learning (Poster)
• Evaluating Peripheral Vision as an Input Transformation to Understand Object Detection Model Behavior (Poster)
• Inverting cognitive models with machine learning to infer preferences from fixations (Poster)