GazeFlow: From Human Gaze Behavior to Generative Egocentric Gaze Prediction

arXiv:2609.38519 · cs.CV, cs.LG · Submitted 2026-09-29 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Flow Matching — 23× in this paper · explained in 8 episodes
• AUC — 18× in this paper · explained in 2 episodes
• Accuracy — 16× in this paper · explained in 1 episode
• Ablation — 9× in this paper · explained in 1 episode
• Alignment — 9× in this paper · explained in 1 episode
• Transformer — 8× in this paper · explained in 2 episodes
• Attention Transition — 4× in this paper
• Embeddings — 4× in this paper · explained in 2 episodes
• Angular Error — 3× in this paper · explained in 1 episode
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Area Under the Curve — 2× in this paper
• Average Angular Error — 2× in this paper
• Average Displacement Error — 2× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Decode — 2× in this paper · explained in 2 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• Linear Probing — 2× in this paper · explained in 2 episodes
• LoRA Adapters — 2× in this paper · explained in 3 episodes
• Transactions on Graphics — 2× in this paper
• Ablation Studies — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hilbert Space — 1× in this paper · explained in 2 episodes
• Jensen–Shannon Divergence (JSD) — 1× in this paper · explained in 2 episodes
• Linear probe — 1× in this paper · explained in 2 episodes
• LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Ordinary Differential Equation — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
• Qwen3-VL Technical Report
• Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
• Denoising Diffusion Probabilistic Models
• Auto-Encoding Variational Bayes
• LowPowAR: Power-Constrained Tone Mapping for Augmented Reality
• SAM 2: Segment Anything in Images and Videos

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