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Found 7 papers, 0 papers with code
Face-GPS: A Comprehensive Technique for Quantifying Facial Muscle Dynamics in Videos
We introduce a novel method that combines differential geometry, kernels smoothing, and spectral analysis to quantify facial muscle activity from widely accessible video recordings, such as those captured on personal smartphones.
MuseChat: A Conversational Music Recommendation System for Videos
The reasoning module, equipped with the power of Large Language Model (Vicuna-7B) and extended to multi-modal inputs, is able to provide reasonable explanation for the recommended music.
Online Ensemble of Models for Optimal Predictive Performance with Applications to Sector Rotation Strategy
To capitalize on the strong predictive results of individual models for the performance of different sectors, we develop a novel online ensemble algorithm that learns to optimize predictive performance.
A Unified Framework for Fast Large-Scale Portfolio Optimization
We introduce a unified framework for rapid, large-scale portfolio optimization that incorporates both shrinkage and regularization techniques.
High-Frequency Volatility Estimation with Fast Multiple Change Points Detection
We propose high-frequency volatility estimators with multiple change points that are $\ell_1$-regularized versions of two classical estimators: quadratic variation and bipower variation.
Detection of (Hidden) Emotions from Videos using Muscles Movements and Face Manifold Embedding
Although the original FAN model achieves very high out-of-sample performance on the original CK++ videos, it does not perform so well on hidden emotions videos.
CP-PINNs: Data-Driven Changepoints Detection in PDEs Using Online Optimized Physics-Informed Neural Networks
However, when changepoints are present, our approach yields superior parameter estimation, improved model fitting, and reduced training error compared to the original PINNs model.
