8 citations · 11 across the 5 of their papers we have counts for
10 papers
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape Priors
Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen +1
In this paper, we propose a new method for mapping a 3D point cloud to the latent space of a 3D generative adversarial network. Our generative model for 3D point clouds is based on…
Meta Transfer Learning for Emotion Recognition
Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen +3
Deep learning has been widely adopted in automatic emotion recognition and has lead to significant progress in the field. However, due to insufficient annotated emotion datasets, p…
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition
Dung Nguyen, Duc Thanh Nguyen, Rui Zeng +5
Multimodal dimensional emotion recognition has drawn a great attention from the affective computing community and numerous schemes have been extensively investigated, making a sign…
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition
Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen +4
Deep learning has been applied to achieve significant progress in emotion recognition. Despite such substantial progress, existing approaches are still hindered by insufficient tra…
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information
Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong +2
Fully-automatic execution is the ultimate goal for many Computer Vision applications. However, this objective is not always realistic in tasks associated with high failure costs, s…
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua +3
In this work, we present a novel method to learn a local cross-domain descriptor for 2D image and 3D point cloud matching. Our proposed method is a dual auto-encoder neural network…