Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Chee Seng Chan

End-to-End Supermask Pruning: Learning to Prune Image Captioning Models


Oct 07, 2021
Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah

* Pattern Recognition; In Press 

  Access Paper or Ask Questions

One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective


Sep 29, 2021
Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang, Chee Seng Chan, Yi-Zhe Song, Tao Xiang

* Accepted at NeurIPS 2021 

  Access Paper or Ask Questions

ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment


Jul 12, 2021
Chun Chet Ng, Akmalul Khairi Bin Nazaruddin, Yeong Khang Lee, Xinyu Wang, Yuliang Liu, Chee Seng Chan, Lianwen Jin, Yipeng Sun, Lixin Fan

* International Conference on Document Analysis and Recognition (ICDAR) 2021 
* Technical report of ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment 

  Access Paper or Ask Questions

Ternary Hashing


Mar 19, 2021
Chang Liu, Lixin Fan, Kam Woh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang


  Access Paper or Ask Questions

Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack


Mar 01, 2021
Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang

* Accepted at CVPR2021 

  Access Paper or Ask Questions

Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection


Aug 25, 2020
Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang

* 9 pages 

  Access Paper or Ask Questions

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks


Jun 23, 2020
Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang

* under review, 36 pages (updated Eq. 3 and Fig. 8) 

  Access Paper or Ask Questions

On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering


Feb 26, 2020
Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chee Seng Chan, Anton van den Hengel, Liangwei Wang

* Accepted to Proc. IEEE Conf. Computer Vision and Pattern Recognition 2020 

  Access Paper or Ask Questions

Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks


Sep 21, 2019
Lixin Fan, Kam Woh Ng, Chee Seng Chan

* This paper is accepted by NeurIPS 2019; Our code is available at https://github.com/kamwoh/DeepIPR. This version updates Figure 2&5 and email of first author 

  Access Paper or Ask Questions

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


Sep 17, 2019
Yipeng Sun, Zihan Ni, Chee-Kheng Chng, Yuliang Liu, Canjie Luo, Chun Chet Ng, Junyu Han, Errui Ding, Jingtuo Liu, Dimosthenis Karatzas, Chee Seng Chan, Lianwen Jin

* ICDAR 2019 Robust Reading Challenge in IAPR International Conference on Document Analysis and Recognition (ICDAR) 

  Access Paper or Ask Questions

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


Sep 16, 2019
Chee-Kheng Chng, Yuliang Liu, Yipeng Sun, Chun Chet Ng, Canjie Luo, Zihan Ni, ChuanMing Fang, Shuaitao Zhang, Junyu Han, Errui Ding, Jingtuo Liu, Dimosthenis Karatzas, Chee Seng Chan, Lianwen Jin

* Technical report of ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT) Competition 

  Access Paper or Ask Questions

Image Captioning with Sparse Recurrent Neural Network


Aug 28, 2019
Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah


  Access Paper or Ask Questions

Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks


May 10, 2019
Lixin Fan, KamWoh Ng, Chee Seng Chan

* This paper proposes a new timely IPR solution that embed digital passports into CNN models to prevent the unauthorized network usage (i.e. infringement) by paralyzing the networks while maintaining its functionality for verified users 

  Access Paper or Ask Questions

COMIC: Towards A Compact Image Captioning Model with Attention


Mar 16, 2019
Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah

* Accepted to appear in TMM (Extended version with supp. material). Identical to the journal version except for the addition of Fig. 1 

  Access Paper or Ask Questions

A Universal Logic Operator for Interpretable Deep Convolution Networks


Jan 20, 2019
KamWoh Ng, Lixin Fan, Chee Seng Chan

* In AAAI-19 Workshop on Network Interpretability for Deep Learning 

  Access Paper or Ask Questions

Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork


Aug 23, 2018
Wei Ren Tan, Chee Seng Chan, Hernan Aguirre, Kiyoshi Tanaka

* 16 pages, 11 figures, accepted version at IEEE Transactions on Image Processing (T-IP) 

  Access Paper or Ask Questions

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


May 29, 2018
Yuen Peng Loh, Chee Seng Chan

* Exclusively Dark (ExDARK) dataset is a collection of 7,363 low-light images from very low-light environments to twilight (i.e 10 different conditions), and 12 object classes (as to PASCAL VOC) annotated on both image class level and local object bounding boxes. 16 pages, 13 figures, submitted to CVIU 

  Access Paper or Ask Questions

Phrase-based Image Captioning with Hierarchical LSTM Model


Nov 11, 2017
Ying Hua Tan, Chee Seng Chan

* 17 pages, 12 figures, ACCV2016 extension, phrase-based image captioning 

  Access Paper or Ask Questions

Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition


Oct 28, 2017
Chee Kheng Chng, Chee Seng Chan

* Accepted as Oral presentation in ICDAR2017 (Extended version, 13 pages 17 figures). We introduce a new scene text dataset namely as Total-Text, which is more comprehensive than the existing scene text datasets as it consists of 1555 natural images with more than 3 different text orientations, one of a kind 

  Access Paper or Ask Questions

phi-LSTM: A Phrase-based Hierarchical LSTM Model for Image Captioning


Oct 26, 2017
Ying Hua Tan, Chee Seng Chan

* This paper introduces phrase-based image captioning. Accepted in ACCV2016 (extended version, 21 pages, 12 figures) 

  Access Paper or Ask Questions

Crowd Behavior Analysis: A Review where Physics meets Biology


Nov 20, 2015
Ven Jyn Kok, Mei Kuan Lim, Chee Seng Chan

* Neurocomputing 177 (2016) 342-362 
* Accepted in Neurocomputing, 31 pages, 180 references 

  Access Paper or Ask Questions

Deep-Plant: Plant Identification with convolutional neural networks


Jun 28, 2015
Sue Han Lee, Chee Seng Chan, Paul Wilkin, Paolo Remagnino

* 6 pages, 8 figures, accepted as oral presentation in ICIP2015, Qu\'ebec City, Canada 

  Access Paper or Ask Questions

Fuzzy human motion analysis: A review


Dec 02, 2014
Chern Hong Lim, Ekta Vats, Chee Seng Chan

* Pattern Recognition 48(5) 2015 1773-1796 
* Accepted in Pattern Recognition, first survey paper that discusses and reviews fuzzy approaches towards HMA 

  Access Paper or Ask Questions

Detection of Salient Regions in Crowded Scenes


Oct 15, 2014
Mei Kuan Lim, Chee Seng Chan, Dorothy Monekosso, Paolo Remagnino

* Accepted in Electronics Letters Vol. 5, Issue 5 

  Access Paper or Ask Questions

Crowd Saliency Detection via Global Similarity Structure


Oct 14, 2014
Mei Kuan Lim, Ven Jyn Kok, Chen Change Loy, Chee Seng Chan

* Accepted in ICPR 2014 (Oral). Mei Kuan Lim and Ven Jyn Kok share equal contributions 

  Access Paper or Ask Questions