David Ha

Quảng Bình University — VN

Computer Science · Physical Sciences

6h-index165citations24works0.22yr avg
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Research Topics

Generative Adversarial Networks and Image Synthesis(4), Medical Image Segmentation Techniques(3), Face and Expression Recognition(2), Advanced Vision and Imaging(2), Image Retrieval and Classification Techniques(2)

Publications24 total

Image-Based Hybrid Autoencoder–LSTM for Mixed-Gas Estimation in Electronic Nose
IEEE Sensors Journal·2025
A Study on Fatigue Prediction After Watching Virtual Reality Videos Using Eye Tracking Data
Journal of Korea Multimedia Society·2025Open Access
Automating the Search for Artificial Life With Foundation Models
Artificial Life·2025
Vision-based Real-Time Golf Swing Impact Analysis using High-Speed Imaging and Deep Neural Network
SSRN Electronic Journal·2025Open Access
LEAF DISEASE DETECTION USING DRONES
2024
Automating the Search for Artificial Life with Foundation Models
arXiv (Cornell University)·2024· 1 citedOpen Access
Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal Transport
arXiv (Cornell University)·2022Open Access
Artificial Intelligence for Human Computer Interaction: A Modern Approach
Human-computer interaction series·2021· 25 citedOpen Access
Sketch-Based Creativity Support Tools Using Deep Learning
Human-computer interaction series·2021· 3 cited
Study on Maximum Bayes Boundary-ness Training for Pattern Classification
IEICE Technical Report; IEICE Tech. Rep.·2020· 1 cited
SketchTransfer: A New Dataset for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
2020· 2 cited
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
arXiv (Cornell University)·2019Open Access
A Practical Method Based on Bayes Boundary-Ness for Optimal Classifier Parameter Status Selection
Journal of Signal Processing Systems·2019· 6 citedOpen Access
Learning via social awareness: Improving a deep generative sketching model with facial feedback
arXiv (Cornell University)·2018· 8 citedOpen Access
Generating Large Images from Latent Vectors - Part Two
2016· 2 cited
Interactive Abstract Pattern Generation Javascript Demo
2016· 1 cited
Generating Large Images from Latent Vectors
2016· 12 cited
Recurrent Net Dreams Up Fake Chinese Characters in Vector Format with TensorFlow
2015· 10 cited
Genetic Art with NEAT and recurrent.js (node.js)
2015
Reverse Engineering CIFAR10 convnet for Image Generation
2015
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Frequent Co-authors

Forrest Huang(2), Eldon Schoop(2), Jeffrey Nichols(2), John Canny(2), M. Senda(2), Hideyuki Watanabe(2), Shigeru Katagiri(2), Miho Ohsaki(2), Alex Lamb(2), Sherjil Ozair(2), Vikas Verma(2), Akarsh Kumar(2), Chris Xiaoxuan Lu(2), Louis Kirsch(2), Yujin Tang(2), Kenneth O. Stanley(2), Phillip Isola(2), J.-M. Lee(1), Y.-D. Kim(1), Natasha Jaques(1)