6 citations · 10 across the 4 of their papers we have counts for
5 papers
Self-supervised Contrastive Learning for Audio-Visual Action Recognition
Yang Liu, Ying Tan, Haoyuan Lan
The underlying correlation between audio and visual modalities can be utilized to learn supervised information for unlabeled videos. In this paper, we propose an end-to-end self-su…
ACORT: A Compact Object Relation Transformer for Parameter Efficient Image Captioning
Jia Huei Tan, Ying Hua Tan, Chee Seng Chan +1
Recent research that applies Transformer-based architectures to image captioning has resulted in state-of-the-art image captioning performance, capitalising on the success of Trans…
Phrase-based Image Captioning with Hierarchical LSTM Model
Ying Hua Tan, Chee Seng Chan
Automatic generation of caption to describe the content of an image has been gaining a lot of research interests recently, where most of the existing works treat the image caption…
phi-LSTM: A Phrase-based Hierarchical LSTM Model for Image Captioning
Ying Hua Tan, Chee Seng Chan
A picture is worth a thousand words. Not until recently, however, we noticed some success stories in understanding of visual scenes: a model that is able to detect/name objects, de…
Variational Autoencoders for Semi-supervised Text Classification
Weidi Xu, Haoze Sun, Chao Deng +1
Although semi-supervised variational autoencoder (SemiVAE) works in image classification task, it fails in text classification task if using vanilla LSTM as its decoder. From a per…