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associate professor at University of Malaya



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Follow @cs-chan

My research interests include computer vision and machine learning with focus on scene understanding. I am also interested in the interplay between language and vision: generating sentential descriptions about complex scenes. I was the founding Chair for the IEEE Computational Intelligence Society (CIS) Malaysia chapter, the organising chair for ACPR in 2015, and general chair for MMSP in 2019 & VCIP in 2013. I am a Senior Member of IEEE, a Chartered Engineer and a Member of IET.

Highlights:
        09/2019: One(1) paper to appear in NeurIPS-19.
        09/2019: Congratulations to all ArT and LSVT winners and partipants. See you at ICDAR-19.
        05/2019: One(1) paper to appear in ICIP-19.
        01/2019: One(1) paper (oral) to appear in AAAI-19 Workshop on Network Interpretability for Deep Learning.
        08/2018: I will serve as the general chair of MMSP 2019.
        07/2017: I co-author a book with titled - Human Motion Sensing and Recognition: A Fuzzy Qualitative Approach is now available.

I am always interested to hear from prospective research students. Scholarships are available from time to time, contact me to enquire.


Latest Works

2

Rethinking Deep Neural Network Ownership Verification Star

We propose novel passport-based DNN ownership verification schemes which are both robust to network modifications and resilient to ambiguity attacks (i.e. the DNN model performance of an original task will be significantly deteriorated due to forged passports).

L. Fan, K.W. Ng and C.S. Chan
NeurIPS 2019 (acceptance rate: 1428/6743 ~ 21.18%)
[pdf] [code]

2

Total-Text: Toward Orientation Robustness in Scene Text Detection Star

To facilitate a new text detection research, we introduce the Total-Text dataset that consists of 1555 images with more than 3 different text orientations, one of a kind. Extension of ICDAR 2017 (Oral, acceptance rate: 52/409 ~ 12.7%).

C.K. Ch'ng, C.S. Chan and C-L. Liu
International Journal on Document Analysis and Recognition (In Press)
[pdf] [arXiv (ICDAR 2017 extended ver.)] [slide] [dataset]

2

COMIC: Towards A Compact Image Captioning Model with Attention Star

This paper introduces a compact image captioning model which is hitherto unexplored, and shows competitive results on both MS-COCO and InstaPIC-1.1M datasets despite having an embedding vocabularly size that is 39x-99x smaller.

J.H. Tan, C.S. Chan and J.H. Chuah
IEEE Transactions on Multimedia 2019
[pdf] [code]

2

Low-light Image Enhancement using Gaussian Process for Features Retrieval Star

This paper modeled low-light image enhancement as a distribution of localized enhancement functions using Gaussian Process trained at runtime with reference data generated from a CNN.

Y.P. Loh, X. Liang and C.S. Chan
Signal Processing: Image Communication 2019
[pdf] [dataset] [code]

2

Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork Star

ArtGAN: A series of new approaches to improve GAN for conditional image/artwork synthesis. Extension of ICIP 2017: ArtGAN.

W.R. Tan, C.S. Chan, H. Aguirre and K. Tanaka
IEEE Transactions on Image Processing 2019
[pdf] [supp. material] [code]

2

Multi-Organ Plant Classification based on Convolutional and Recurrent Neural Networks Star

In this work, we present two deep frameworks (i.e. HGO-CNN & Plant-StructNet) to classify plant. Extension of ICIP 2017: HGO-CNN.

S.H. Lee, C.S. Chan and P. Remagnino
IEEE Transactions on Image Processing 2018
[pdf] [code] [project]