arXiv Computer Vision
Pixel-wise Exposure for Highly Robust In-Vehicle Remote-PPG
Read the original on arXiv Computer Vision →The Flow has not summarised this story yet — read it at arXiv Computer Vision.
Related stories
arXiv Computer Vision
Sep 25
$\unicode{x1F493}$Heartian: Physiology-Aware Relightable Gaussian Head Avatar
The paper introduces Heartian, a physiology‑aware framework that augments Gaussian head avatars with cardiac‑cycle‑dependent albedo modulation, enabling the encoding of remote photoplethysmography (rPPG) signals. By supervising with synchronized contact PPG, the method models the cardiac waveform as a sum of two Gaussians and learns per‑frame spatial residuals via a lightweight MLP. Experiments on 152 stationary recordings from UBFC‑rPPG, PURE, and MMPD show heart‑rate estimation errors as low as 0.29 bpm MAE and 0.38 % MAPE, while preserving reconstruction quality with negligible PSNR loss.
Hugging Face Trending Papers
Sep 22
$\unicode{x1F493}$Heartian: Physiology-Aware Relightable Gaussian Head Avatar
Gaussian head avatars typically model intrinsic facial appearance as temporally static, omitting subtle cardiac-induced skin-color variation. We propose $\unicode{x1F493}$Heartian, a physiology-aware...
arXiv AI
Jun 11
Illumination-Robust Camera-Based Heart-Rate Estimation for Physiological Sensing in Robots
arXiv:2606. 12378v1 Announce Type: cross Abstract: Physiological awareness is important for service, social, and assistive robots that interact with humans in everyday environments.
arXiv Computer Vision
Sep 24
High Dynamic Range Video Reconstruction from Single-Exposure Raw Sequences
arXiv:2609.27274v1 Announce Type: new Abstract: Due to the limited dynamic range of conventional image sensors, captured low dynamic range (LDR) video often suffers from highlight clipping and shadow...
Hugging Face Trending Papers
Sep 23
High Dynamic Range Video Reconstruction from Single-Exposure Raw Sequences
Due to the limited dynamic range of conventional image sensors, captured low dynamic range (LDR) video often suffers from highlight clipping and shadow detail loss, making high-quality high dynamic ra...
arXiv AI
Jun 26
Risk-Aware Selective Multimodal Driver Monitoring with Driver-State World Modeling
arXiv:2606. 26922v1 Announce Type: cross Abstract: Continuous driver monitoring in automated vehicles requires low-latency inference while avoiding unsafe decisions under uncertain driver states.