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cs.CV2026

Rhythm-Structured Predictive Learning for Remote Photoplethysmography

Ba-Thinh Nguyen, Huu-Dung Nguyen, Thi-Duyen Ngo +1

Remote photoplethysmography (rPPG) estimates physiological signals from facial videos by analyzing subtle pulse induced skin color variations. Despite recent progress, existing sel…

cs.CV2026

VisAnalog: A Diagnostic Suite for Visual Concept Transfer on Natural Images

Zhaonan Li, Kyle R. Chickering, Bangzheng Li +13

A useful test of visual concept learning is not just whether a model can recognize a concept in a single image, but whether it can preserve and manipulate concept-level properties…

cs.CV2026

BTS-rPPG: Orthogonal Butterfly Temporal Shifting for Remote Photoplethysmography

Ba-Thinh Nguyen, Thi-Duyen Ngo, Thanh-Trung Huynh +2

Remote photoplethysmography (rPPG) enables contactless physiological sensing from facial videos by analyzing subtle appearance variations induced by blood circulation. However, mod…

cs.CV2026

HOT: Harmonic-Constrained Optimal Transport for Remote Photoplethysmography Domain Adaptation

Ba-Thinh Nguyen, Thi-Duyen Ngo, Thanh-Trung Huynh +2

Remote photoplethysmography (rPPG) enables non-contact physiological measurement from facial videos; however, its practical deployment is often hindered by substantial performance…

cs.CV2026

Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment

Bac Nguyen, Yuhta Takida, Naoki Murata +4

Slot Attention (SA) with pretrained diffusion models has recently shown promise for object-centric learning (OCL), but suffers from slot entanglement and weak alignment between obj…

cs.CV2024

G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving

Naoki Murata, Chieh-Hsin Lai, Yuhta Takida +4

Recent literature has effectively leveraged diffusion models trained on continuous variables as priors for solving inverse problems. Notably, discrete diffusion models with discret…