Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction

1 code implementation • 31 Jul 2024 • Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah

There has been a significant focus on modelling emotion ambiguity in recent years, with advancements made in representing emotions as distributions to capture ambiguity.

Time Series

OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation

no code implementations • 4 Mar 2022 • Peng Li, Jiayin Zhao, Jingyao Wu, Chao Deng, Haoqian Wang, Tao Yu

Light field disparity estimation is an essential task in computer vision with various applications.

Disparity Estimation

A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information

no code implementations • 10 Aug 2021 • Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah

We propose a Markovian framework referred to as Dynamic Ordinal Markov Model (DOMM) that makes use of both absolute and relative ordinal information, to improve speech based ordinal emotion prediction.

Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study

3 code implementations • 6 Mar 2020 • Zhibin Zhao, Tianfu Li, Jingyao Wu, Chuang Sun, Shibin Wang, Ruqiang Yan, Xuefeng Chen

Second, we integrate the whole evaluation codes into a code library and release this code library to the public for better development of this field.

Few-Shot Learning Model Selection