Search Results for author: Keyu Chen

Found 15 papers, 6 papers with code

Explainable and High-Performance Hate and Offensive Speech Detection

no code implementations26 Jun 2022 Marzieh Babaeianjelodar, Gurram Poorna Prudhvi, Stephen Lorenz, Keyu Chen, Sumona Mondal, Soumyabrata Dey, Navin Kumar

For unbalanced Twitter data, XGboost outperformed the LSTM, AutoGluon, and ULMFiT models on hate speech detection with an F1 score of 0. 75 compared to 0. 38 and 0. 37, and 0. 38 respectively.

Hate Speech Detection

SuperCon: Supervised Contrastive Learning for Imbalanced Skin Lesion Classification

1 code implementation11 Feb 2022 Keyu Chen, Di Zhuang, J. Morris Chang

The results show that our two-stage training strategy effectively addresses the class imbalance classification problem, and significantly improves existing works in terms of F1-score and AUC score, resulting in state-of-the-art performance.

Classification Contrastive Learning +2

Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition

no code implementations8 Jul 2021 Wei zhang, Zunhu Guo, Keyu Chen, Lincheng Li, Zhimeng Zhang, Yu Ding

Automatic affective recognition has been an important research topic in human computer interaction (HCI) area.

Emotion Recognition

AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis

1 code implementation ICCV 2021 Yudong Guo, Keyu Chen, Sen Liang, Yong-Jin Liu, Hujun Bao, Juyong Zhang

Generating high-fidelity talking head video by fitting with the input audio sequence is a challenging problem that receives considerable attentions recently.

Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation

1 code implementation1 Nov 2020 Keyu Chen, Di Zhuang, J. Morris Chang

The generalization capability of machine learning models, which refers to generalizing the knowledge for an "unseen" domain via learning from one or multiple seen domain(s), is of great importance to develop and deploy machine learning applications in the real-world conditions.

Domain Generalization Meta-Learning

Modeling Caricature Expressions by 3D Blendshape and Dynamic Texture

no code implementations13 Aug 2020 Keyu Chen, Jianmin Zheng, Jianfei Cai, Juyong Zhang

The problem of deforming an artist-drawn caricature according to a given normal face expression is of interest in applications such as social media, animation and entertainment.

Caricature Texture Synthesis

Facial Expression Retargeting from Human to Avatar Made Easy

1 code implementation12 Aug 2020 Juyong Zhang, Keyu Chen, Jianmin Zheng

Then we construct correspondences between the two latent spaces guided by geometric and perceptual constraints.

Geometric Matching Translation

SAIA: Split Artificial Intelligence Architecture for Mobile Healthcare System

no code implementations25 Apr 2020 Di Zhuang, Nam Nguyen, Keyu Chen, J. Morris Chang

Hence, most of the mobile healthcare systems leverage the cloud computing infrastructure, where the data collected by the mobile and IoT devices would be transmitted to the cloud computing platforms for analysis.

CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for Skin Lesion Classification

no code implementations25 Apr 2020 Di Zhuang, Keyu Chen, J. Morris Chang

Since the skin lesion datasets are usually limited and statistically biased, while designing an effective fusion approach, it is important to consider not only the performance of each classifier on the training/validation dataset, but also the relative discriminative power (e. g., confidence) of each classifier regarding an individual sample in the testing phase, which calls for an active fusion approach.

General Classification Lesion Classification +1

Learning Adaptive Loss for Robust Learning with Noisy Labels

no code implementations16 Feb 2020 Jun Shu, Qian Zhao, Keyu Chen, Zongben Xu, Deyu Meng

Four kinds of SOTA robust loss functions are attempted to be integrated into our algorithm, and comprehensive experiments substantiate the general availability and effectiveness of the proposed method in both its accuracy and generalization performance, as compared with conventional hyperparameter tuning strategy, even with carefully tuned hyperparameters.

Learning with noisy labels Meta-Learning

Disentangled Representation Learning for 3D Face Shape

1 code implementation CVPR 2019 Zi-Hang Jiang, Qianyi Wu, Keyu Chen, Juyong Zhang

In this paper, we present a novel strategy to design disentangled 3D face shape representation.

Representation Learning

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