FLOW: Feature-Level Optimal Warping for Generalized Remote Physiological Measurement

arXiv:2609.38913 · cs.CV · Submitted 2026-09-30 · Read on arXiv

cs.CV

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• Generalization — 47× in this paper · explained in 13 episodes
• Alignment — 42× in this paper · explained in 1 episode
• Domain Generalization — 28× in this paper
• Optimal Transport — 26× in this paper · explained in 5 episodes
• Regularization — 19× in this paper · explained in 3 episodes
• Consistency — 15× in this paper · explained in 3 episodes
• Robustness — 11× in this paper · explained in 5 episodes
• Adaptation — 9× in this paper · explained in 1 episode
• Ablation — 8× in this paper · explained in 1 episode
• Domain Adaptation — 7× in this paper · explained in 5 episodes
• Temporal Refinement Module — 7× in this paper
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• European Conference on Computer Vision — 4× in this paper
• Optimal Transport (OT) — 4× in this paper · explained in 4 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Domain Shift — 3× in this paper · explained in 4 episodes
• Feature-Level Optimal Warping — 3× in this paper
• Mean Absolute Error — 3× in this paper
• Transactions on Pattern Analysis and Machine Intelligence — 3× in this paper
• Accuracy — 2× in this paper · explained in 1 episode
• Entanglement — 2× in this paper · explained in 3 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Root Mean Square Error — 2× in this paper
• Semantic Similarity — 2× in this paper · explained in 2 episodes
• Temporal consistency — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Unified Framework — 2× in this paper · explained in 5 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adversarial Noise — 1× in this paper · explained in 1 episode
• Adversarial Training — 1× in this paper · explained in 1 episode
• Alignment Techniques — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 1× in this paper
• Clustering — 1× in this paper · explained in 2 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• In British Machine Vision Conference — 1× in this paper
• Latent Reasoning — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Meta-learning — 1× in this paper · explained in 2 episodes
• Prototypebased Cross-Temporal Optimal Transport — 1× in this paper
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Sparse Attention — 1× in this paper · explained in 5 episodes
• Structural Reasoning — 1× in this paper · explained in 2 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Wasserstein Distance — 1× in this paper · explained in 4 episodes

Sources

• PhysNeXt: Next-Generation Dual-Branch Structured Attention Fusion Network for Remote Photoplethysmography Measurement
• Complementarity-Supervised Spectral-Band Routing for Multimodal Emotion Recognition
• AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection
• Return of Frustratingly Easy Domain Adaptation
• CardiacMamba: A Multimodal RGB-RF Fusion Framework with State Space Models for Remote Physiological Measurement
• SFDA-rPPG: Source-Free Domain Adaptive Remote Physiological Measurement with Spatio-Temporal Consistency
• PhysLLM: Harnessing Large Language Models for Cross-Modal Remote Physiological Sensing
• UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries

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