5 citations · 5 across the 4 of their papers we have counts for
5 papers
The Confidence Game: Strategic Miscalibration in Human-AI Delegation
Raghu Arghal, Saswati Sarkar, Shirin Saeedi Bidokhti
Calibrated uncertainty quantification is essential to ensuring AI agents are trustworthy and reliable. However, when agents seek to maximize user engagement or revenue, confidence…
FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression
Jiajie Li, Yu Liu, Rencheng Song +2
Remote photoplethysmography (rPPG) enables non-contact extraction of blood volume pulse (BVP) signals using consumer-grade cameras. Recent unsupervised rPPG methods learn BVP repre…
Adaptive Physical-Facial Representation Fusion via Subject-Invariant Cross-Modal Prompt Tuning for Video-Based Emotion Recognition
Xiwen Luo, Jia Li, Rencheng Song +2
Emotion recognition from facial videos enables non-contact inference of human emotional states. Although facial expressions are widely used cues, they cannot fully reflect intrinsi…
FaFCNN: A General Disease Classification Framework Based on Feature Fusion Neural Networks
Menglin Kong, Shaojie Zhao, Juan Cheng +4
There are two fundamental problems in applying deep learning/machine learning methods to disease classification tasks, one is the insufficient number and poor quality of training s…
PulseGAN: Learning to generate realistic pulse waveforms in remote photoplethysmography
Rencheng Song, Huan Chen, Juan Cheng +3
Remote photoplethysmography (rPPG) is a non-contact technique for measuring cardiac signals from facial videos. High-quality rPPG pulse signals are urgently demanded in many fields…