47 citations · 70 across the 3 of their papers we have counts for
5 papers
ShadowMamba: State-Space Model with Boundary-Region Selective Scan for Shadow Removal
Xiujin Zhu, Chee-Onn Chow, Joon Huang Chuah
Image shadow removal is a typical low-level vision task. Shadows cause local brightness shifts, which reduce the performance of downstream vision tasks. Currently, Transformer-base…
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…
End-to-End Supermask Pruning: Learning to Prune Image Captioning Models
Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah
With the advancement of deep models, research work on image captioning has led to a remarkable gain in raw performance over the last decade, along with increasing model complexity…
Image Captioning with Sparse Recurrent Neural Network
Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah
Recurrent Neural Network (RNN) has been widely used to tackle a wide variety of language generation problems and are capable of attaining state-of-the-art (SOTA) performance. Howev…
COMIC: Towards A Compact Image Captioning Model with Attention
Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah
Recent works in image captioning have shown very promising raw performance. However, we realize that most of these encoder-decoder style networks with attention do not scale natura…