| Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community JE Ball, DT Anderson, CS Chan Journal of Applied Remote Sensing 11 (4), 1-54, 2017 | 769 | 2017 |
| How deep learning extracts and learns leaf features for plant classification SH Lee, CS Chan, SJ Mayo, P Remagnino Pattern Recognition 71, 1-13, 2017 | 638 | 2017 |
| Deep-Plant: Plant identification with convolutional neural networks SH Lee, CS Chan, P Wilkin, P Remagnino IEEE International Conference on Image Processing (ICIP), Quebec City …, 2015 | 596 | 2015 |
| Total-Text: A comprehensive dataset for scene text detection and recognition CK Chng, CS Chan International Conference on Document Analysis and Recognition (ICDAR), Kyoto …, 2017 | 579 | 2017 |
| A robust arbitrary text detection system for natural scene images A Risnumawan, P Shivakumara, CS Chan, CL Tan Expert Systems with Applications 41 (18), 8027-8048, 2014 | 569 | 2014 |
| Getting to know low-light images with Exclusively Dark dataset YP Loh, CS Chan Computer Vision and Image Understanding 178, 30-42, 2019 | 564 | 2019 |
| Rethinking deep neural network ownership verification: Embedding passports to defeat ambiguity attacks L Fan, KW Ng, CS Chan Advances in Neural Information Processing Systems (NeurIPS), Vancouver …, 2019 | 269 | 2019 |
| Automated detection and classification of oral lesions using deep learning for early detection of oral cancer RA Welikala, P Remagnino, JH Lim, CS Chan, S Rajendran, ... IEEE Access 8, 132677-132693, 2020 | 262 | 2020 |
| ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT) CK Chng, Y Liu, Y Sun, CC Ng, C Luo, Z Ni, CM Fang, S Zhang, J Han, ... International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 239 | 2019 |
| A fusion approach for efficient human skin detection WR Tan, CS Chan, P Yogarajah, J Condell IEEE Transactions on Industrial Informatics 8 (1), 138-147, 2012 | 234 | 2012 |
| Ceci n’est pas une pipe: A deep convolutional network for fine-art paintings classification WR Tan, CS Chan, HE Aguirre, K Tanaka IEEE International Conference on Image Processing (ICIP), Arizona, USA, 2016 …, 2016 | 232 | 2016 |
| Crowd behavior analysis: A review where physics meets biology VJ Kok, MK Lim, CS Chan Neurocomputing 177, 342-362, 2016 | 178 | 2016 |
| ArtGAN: Artwork synthesis with conditional categorical GANs WR Tan, CS Chan, H Aguirre, K Tanaka IEEE International Conference on Image Processing (ICIP), Beijing, China …, 2017 | 165 | 2017 |
| ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling--RRC-LSVT Y Sun, Z Ni, CK Chng, Y Liu, C Luo, CC Ng, J Han, E Ding, J Liu, ... International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 164 | 2019 |
| Total-Text: Toward orientation robustness in scene text detection CK Ch’ng, CS Chan, CL Liu International Journal on Document Analysis and Recognition 23, 31-52, 2020 | 145 | 2020 |
| One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective JT Hoe, KW Ng, T Zhang, CS Chan, YZ Song, T Xiang Advances in Neural Information Processing Systems (NeurIPS), 2021, 2021 | 123 | 2021 |
| Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification T Pang, JHD Wong, WL Ng, CS Chan Computer Methods and Programs in Biomedicine 203, 106018, 2021 | 120 | 2021 |
| Fuzzy human motion analysis: A review CH Lim, E Vats, CS Chan Pattern Recognition 48 (5), 1773–1796, 2015 | 110 | 2015 |
| Improved ArtGAN for conditional synthesis of natural image and artwork WR Tan, CS Chan, H Aguirre, K Tanaka IEEE Transactions on Image Processing 28 (1), 394 - 409, 2019 | 109 | 2019 |
| Multi-organ plant classification based on convolutional and recurrent neural networks SH Lee, CS Chan, P Remagnino IEEE Transactions on Image Processing 27 (9), 4287-4301, 2018 | 109 | 2018 |
