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20152020
most citedCOMIC: Towards A Compact Image Captioning Model with Attention

47 citations · 65 across the 6 of their papers we have counts for

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8 papers · 1 filter

cs.CV2019

ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling -- RRC-LSVT

Yipeng Sun, Zihan Ni, Chee-Kheng Chng +9

Robust text reading from street view images provides valuable information for various applications. Performance improvement of existing methods in such a challenging scenario heavi…

cs.CV2019

ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

Chee-Kheng Chng, Yuliang Liu, Yipeng Sun +11

This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT) that consists of three major challenges: i) scene text detection, ii) scene text recogn…

cs.CV2019

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…

cs.CV201947 cited

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…

cs.CV2018

Getting to Know Low-light Images with The Exclusively Dark Dataset

Yuen Peng Loh, Chee Seng Chan

Low-light is an inescapable element of our daily surroundings that greatly affects the efficiency of our vision. Research works on low-light has seen a steady growth, particularly…

cs.CV20174 cited

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…