Curriculum Vitae

PROFESSOR IR. DR. CHAN CHEE SENG

Professor
  • Department of Artificial Intelligence
    Faculty of Computer Science and Information Technology
  • 0379676433

BIOGRAPHY

Chee Seng is a Full Professor at the Faculty of Computer Science and Information Technology, Universiti Malaya, Malaysia. Currently, he is leading a research team that specializes in computer vision and machine learning; where his team has published more than 100 papers in top peer-review [i.e. CCF A or CORE A*/A] conferences (CVPR, NeurIPS, IJCAI, etc) and journals (TPAMI, TIP, TMM etc).

From 2020-2022, he was seconded to the Ministry of Science, Technology and Innovation (MOSTI) as the Undersecretary for the Division of Data Strategic and Foresight, as well as the Lead of the PICC Unit under COVID-19 Immunisation Task Force (CITF).

Scholarly, he received Top Research Scientists Malaysia (TRSM) in 2022, Young Scientists Network Academy of Sciences Malaysia (YSN-ASM) in 2015 and Hitachi Research Fellowship in 2013. Besides that, he is also a senior member of IEEE, Professional Engineer (BEM) and Chartered Engineer (IET). To date, he has secured more than RM 3M research funding as the Principal Investigator from local and international bodies.

AREAS OF EXPERTISE

  • IMAGE PROCESSING AND COMPUTER VISION
  • MACHINE LEARNING

ACADEMIC QUALIFICATION

  • PhD, (Computer Science)
    University of Portsmouth
  • MSc (Communication Systems Engineering), (Communication Systems Engineering)
    University of Portsmouth
  • BEng (Electronics Engineering), (Kejuruteraan Elektronik)
    Universiti Multimedia Malaysia (Mmu)

ADMINISTRATIVE DUTIES

  • Dean
    06 Mar 2024 - present (Dean Office, Faculty of Computer Science and Information Technology)
  • Deputy Dean of Research and Development
    07 Oct 2019 - 15 Nov 2020 (Dean Office, Faculty of Computer Science and Information Technology)
  • Head of Department
    01 Aug 2019 - 06 Oct 2019 (Department of Artificial Intelligence, Faculty of Computer Science and Information Technology)
  • Head of Department
    01 Aug 2017 - 31 Jul 2019 (Department of Artificial Intelligence, Faculty of Computer Science and Information Technology)

MEMBERSHIPS

  • ASEAN CHARTERED PROFESSIONAL ENGINEER, CHARTERED ENGINEER
    Since 2023 (International)
  • BOARD OF ENGINEER MALAYSIA (BEM), PROFESSIONAL ENGINEER
    Since 2022 (National)
  • THE INSTITUTION OF ENGINEERING AND TECHNOLOGY (IET), CHARTERED ENGINEER
    Since 2015 (International)
  • INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS (IEEE), MEMBER
    Since 2014 (International)

AWARD AND STEWARDSHIP

  • Top Research Scientists Malaysia
    Academy of Sciences Malaysia, 2022 (National)
  • Appointment as Under Secretary (Strategic Data and Technology Foresight Division)
    Ministry of Science, Technology and Innovation (MOSTI), 2020 (National)
  • CERTIFICATE OF EXCELLENT SERVICE
    University of Malaya, 2019 (University)
  • EXCELLENCE SERVICE AWARD
    University of Malaya, 2017 (University)
  • Young Scientists Network Academy Science Malaysia (YSN-ASM)
    Academy of Sciences Malaysia, 2015 (National)
  • CERTIFICATE OF EXCELLENT SERVICE
    University of Malaya, 2014 (University)
  • Hitachi Foundation Fellowship
    Hitachi Fellowship, 2013 (International)

PUBLICATIONS

Article in Journal
WoS
  1. Lim, Shin Wei; Chan, Chee Seng; Faizal, Erma Rahayu Mohd; Ewe, Kok Howg (2024). Progressive expansion: Cost-efficient medical image analysis model with reversed once-for-all network training paradigm, NEUROCOMPUTING. 581. doi:10.1016/j.neucom.2024.127512
  2. Liong, Gen-Bing; Liong, Sze-Teng; Chan, Chee Seng; See, John (2024). SFAMNet: A scene flow attention-based micro-expression network, NEUROCOMPUTING. 566. doi:10.1016/j.neucom.2023.126998
  3. Ng, Chun Chet; Lin, Che-Tsung; Tan, Zhi Qin; Wang, Xinyu; Kew, Jie Long; Chan, Chee Seng; Zach, Christopher (2024). When IC meets text: Towards a rich annotated integrated circuit text dataset, PATTERN RECOGNITION. 147. doi:10.1016/j.patcog.2023.110124
  4. Poh, Soon Chang; Chan, Chee Seng; Lim, Chee Kau (2024). Efficient label-free pruning and retraining for Text-VQA Transformers, PATTERN RECOGNITION LETTERS. 183, 1-8. doi:10.1016/j.patrec.2024.04.024
  5. Lim, Jian Han; Chan, Chee Seng (2023). Mask-guided network for image captioning, PATTERN RECOGNITION LETTERS. 173, 79-86. doi:10.1016/j.patrec.2023.07.013
  6. Lin, Che-Tsung; Kew, Jie-Long; Chan, Chee Seng; Lai, Shang -Hong; Zach, Christopher (2023). Cycle-object consistency for image-to-image domain adaptation, PATTERN RECOGNITION. 138. doi:10.1016/j.patcog.2023.109416
  7. Liong, Gen-Bing; See, John; Chan, Chee-Seng (2023). Spot-then-Recognize: A Micro-Expression Analysis Network for Seamless Evaluation of Long Videos, SIGNAL PROCESSING-IMAGE COMMUNICATION. 110. doi:10.1016/j.image.2022.116875
  8. Rajendran, Senthilmani; Lim, Jian Han; Yogalingam, Kohgulakuhan; Kallarakkal, Thomas George; Zain, Rosnah Binti; Jayasinghe, Ruwan Duminda; Rimal, Jyotsna; Kerr, Alexander Ross; Amtha, Rahmi; Patil, Karthikeya; Welikala, Roshan Alex; Lim, Ying Zhi; Remagnino, Paolo; Gibson, John; Tilakaratne, Wanninayake Mudiyanselage; Liew, Chee Sun; Yang, Yi-Hsin; Barman, Sarah Ann; Chan, Chee Seng; Cheong, Sok Ching (2023). Image collection and annotation platforms to establish a multi-source database of oral lesions, ORAL DISEASES. . doi:10.1111/odi.14206
  9. Fan, Lixin; Ng, Kam Woh; Chan, Chee Seng; Yang, Qiang (2022). DeepIPR: Deep Neural Network Ownership Verification With Passports, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. 44(10), 6122-6139. doi:10.1109/TPAMI.2021.3088846
  10. Jhawar, Abhishek; Lim, Chee Kau; Chan, Chee Seng (2022). An Approach Driven Ranking System for Risky Gaits, EXPERT SYSTEMS WITH APPLICATIONS. 198. doi:10.1016/j.eswa.2022.116747
  11. Lim, Jian Han; Chan, Chee Seng; Ng, Kam Woh; Fan, Lixin; Yang, Qiang (2022). Protect, show, attend and tell: Empowering image captioning models with ownership protection, PATTERN RECOGNITION. 122. doi:10.1016/j.patcog.2021.108285
  12. Rajendran, Senthilmani; Zaini, Zuraiza Mohamad; Lim, Ying Zhi; Kallarakkal, Thomas George; Ramanathan, Anand; Chan, Siew Wui; Goh, Yet Ching; Tan, Chuey Chuan; Lim, Daniel; Hassan, Muhammad Kamil; Kanapathy, Jananezwary; Pathmanathan, Dharini; Chan, Chee Seng; Liew, Chee Sun; Ismail, Siti Mazlipah; Cheong, Sok Ching (2022). Accelerated implementation of teleconsultation services for the monitoring of oral potentially malignant disorders as a result of the COVID-19 pandemic, ORAL ONCOLOGY. 126. doi:10.1016/j.oraloncology.2022.105730
  13. Tan, Jia Huei; Chan, Chee Seng; Chuah, Joon Huang (2022). End-to-End Supermask Pruning: Learning to Prune Image Captioning Models, PATTERN RECOGNITION. 122. doi:10.1016/j.patcog.2021.108366
  14. Tan, Jia Huei; Tan, Ying Hua; Chan, Chee Seng; Chuah, Joon Huang (2022). ACORT: A compact object relation transformer for parameter efficient image captioning, NEUROCOMPUTING. 482, 60-72. doi:10.1016/j.neucom.2022.01.081
  15. Chang, Y. L., Chan, C. S., & Remagnino, P. (2021). Action recognition on continuous video. Neural Computing & Applications, 33(4), 1233-1243. doi: 10.1007/s00521-020-04982-9
  16. Japar, N., Kok, V. J., & Chan, C. S. (2021). Coherent group detection in still image. Multimedia Tools and Applications, 80(14), 22007-22026. doi: 10.1007/s11042-021-10763-w
  17. Leong, C. P., Liew, C. S., Chan, C. S., & Rehman, M. H. U. (2021). Optimizing Workflow Task Clustering Using Reinforcement Learning. Ieee Access, 9, 110614-110626. doi: 10.1109/access.2021.3101454
  18. Lim, H. M., Teo, C. H., Ng, C. J., Chiew, T. K., Ng, W. L., Abdullah, A., . . . Chan, C. S. (2021). An Automated Patient Self-Monitoring System to Reduce Health Care System Burden During the COVID-19 Pandemic in Malaysia: Development and Implementation Study. Jmir Medical Informatics, 9(2), 11. doi: 10.2196/23427
  19. Lim, Y. Q., Chan, C. S., & Loo, F. Y. (2021). ClaviNet: Generate Music With Different Musical Styles. Ieee Multimedia, 28(1), 83-93. doi: 10.1109/mmul.2020.3046491
  20. Miswan, N. H., Chan, C. S., & Ng, C. G. (2021). Predictive modelling of hospital readmission: Evaluation of different preprocessing techniques on machine learning classifiers. Intelligent Data Analysis, 25(5), 1073-1098. doi: 10.3233/ida-205468
  21. Miswan, Nor Hamizah; Chan, Chee Seng; Ng, Chong Guan (2021). Hospital readmission prediction based on improved feature selection using grey relational analysis and LASSO, GREY SYSTEMS-THEORY AND APPLICATION. . doi:10.1108/GS-12-2020-0168
  22. Pang, T., Wong, J. H. D., Ng, W. L., & Chan, C. S. (2021). Semi-supervise d GAN-base d Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification. Computer Methods and Programs in Biomedicine, 203, 8. doi: 10.1016/j.cmpb.2021.106018
  23. Woon, K. L., Chong, Z. X., Ariffin, A., & Chan, C. S. (2021). Relating molecular descriptors to frontier orbital energy levels, singlet and triplet excited states of fused tricyclics using machine learning. Journal of Molecular Graphics & Modelling, 105, 8. doi: 10.1016/j.jmgm.2021.107891
  24. Ch'ng, Chee-Kheng; Chan, Chee Seng; Liu, Cheng-Lin (2020). Total-Text: toward orientation robustness in scene text detection, INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION. 23(1), 31-52. doi:10.1007/s10032-019-00334-z
  25. He, X. J., Meng, X., Wu, Y. Y., Chan, C. S., & Pang, T. (2020). Semantic Matching Efficiency of Supply and Demand Texts on Online Technology Trading Platforms: Taking the Electronic Information of Three Platforms as an Example. Information Processing & Management, 57(5), 14. doi: 10.1016/j.ipm.2020.102258
  26. Pang, T., Wong, J. H. D., Ng, W. L., & Chan, C. S. (2020). Deep learning radiomics in breast cancer with different modalities: Overview and future. Expert Systems with Applications, 158, 15. doi: 10.1016/j.eswa.2020.113501
  27. Welikala, R. A., Remagnino, P., Lim, J. H., Chan, C. S., Rajendran, S., Kallarakkal, T. G., . . . Barman, S. A. (2020). Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer. IEEE Access, 8, 132677-132693. doi: 10.1109/access.2020.3010180
  28. Wong, S. M., Ong, S., & Chan, C. S. (2020). Regularization-based modulation transfer function compensation for optical satellite image restoration using joint statistical model in curvelet domain. Journal of Applied Remote Sensing, 14(3), 31. doi: 10.1117/1.jrs.14.036506
  29. Khare, V., Shivakumara, P., Chan, C. S., Lu, T., Meng, L. K., Woon, H. H., Blumenstein, M. (2019). A novel character segmentation-reconstruction approach for license plate recognition. Expert Systems with Applications, 131, 219-239. doi:10.1016/j.eswa.2019.04.030
  30. Loh, Y. P., Chan, C. S. (2019). Getting to know low-light images with the Exclusively Dark dataset. Computer Vision and Image Understanding, 178, 30-42. doi:10.1016/j.cviu.2018.10.010
  31. Loh, Y. P., Liang, X. F., Chan, C. S. (2019). Low-light image enhancement using Gaussian Process for features retrieval. Signal Processing-Image Communication, 74, 175-190. doi:10.1016/j.image.2019.02.001
  32. Tan, J. H., Chan, C. S., Chuah, J. H. (2019). COMIC: Toward A Compact Image Captioning Model With Attention. Ieee Transactions on Multimedia, 21(10), 2686-2696. doi: 10.1109/tmm.2019.2904878
  33. Tan, W. R., Chan, C. S., Aguirre, H. E., Tanaka, K. (2019). Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork. Ieee Transactions on Image Processing, 28(1), 394-409. doi:10.1109/tip.2018.2866698
  34. Tan, Y. H., Chan, C. S. (2019). Phrase-based image caption generator with hierarchical LSTM network. Neurocomputing, 333, 86-100. doi:10.1016/j.neucom.2018.12.026
  35. Wong, S. M., Ong, S., Chan, C. S. (2019). On-orbit spatial characterization based on satellite image structure. Journal of Applied Remote Sensing, 13(1), 22. doi:10.1117/1.jrs.13.016510
  36. Ahmadian, A., Salahshour, S., Chan, C. S., Baleanu, D. (2018). Numerical solutions of fuzzy differential equations by an efficient Runge-Kutta method with generalized differentiability. Fuzzy Sets and Systems, 331, 47-67. doi:10.1016/j.fss.2016.11.013
  37. Bin Janai, M. A., Woon, K. L., Chan, C. S. (2018). Design of efficient blue phosphorescent bottom emitting light emitting diodes by machine learning approach. Organic Electronics, 63, 257-266. doi:10.1016/j.orgel.2018.09.029
  38. Kok, V. J., Chan, C. S. (2018). Granular-based dense crowd density estimation. Multimedia Tools and Applications, 77(15), 20227-20246. doi:10.1007/s11042-017-5418-y
  39. Lee, S. H., Chan, C. S., Remagnino, P. (2018). Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks. Ieee Transactions on Image Processing, 27(9), 4287-4301. doi:10.1109/tip.2018.2836321
  40. Ahmadian, A., Salahshour, S., Chan, C. S. (2017). Fractional Differential Systems: A Fuzzy Solution Based on Operational Matrix of Shifted Chebyshev Polynomials and Its Applications. Ieee Transactions on Fuzzy Systems, 25(1), 218-236.
  41. Ahmadian, A., Salahshour, S., Chan, C. S., Baleanu, D. (2017). An Efficient Numerical Simulation for Solving Dynamical Systems With Uncertainty. Journal of Computational and Nonlinear Dynamics, 12(5), 13. doi:10.1115/1.4036419
  42. Ball, J. E., Anderson, D. T., Chan, C. S. (2017). Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community. Journal of Applied Remote Sensing, 11, 54. doi:10.1117/1.jrs.11.042609
  43. Dey, S., Shivakumara, P., Raghunandan, K. S., Pal, U., Lu, T., Kumar, G. H., Chan, C. S. (2017). Script independent approach for multi-oriented text detection in scene image. Neurocomputing, 242, 96-112.
  44. Kok, V. J., Chan, C. S. (2017). GrCS: Granular Computing-Based Crowd Segmentation. Ieee Transactions on Cybernetics, 47(5), 1157-1168.
  45. Lee, S. H., Chan, C. S., Mayo, S. J., Remagnino, P. (2017). How deep learning extracts and learns leaf features for plant classification. Pattern Recognition, 71, 1-13. doi: 10.1016/j.patcog.2017.05.015
  46. Tan, W. R., Chan, C. S., Aguirre, H. E., Tanaka, K. (2017). Fuzzy qualitative deep compression network. Neurocomputing, 251, 1-15.
  47. Kok, V. J., Lim, M. K., Chan, C. S. (2016). Crowd behavior analysis: A review where physics meets biology, Neurocomputing. 177(342-362), Review
  48. Tang, S. L., Chan, C. S. (2016). Orthogonal planar search (OPS) for coronary artery centerline extraction, Signal Image and Video Processing. 10(2335-342), Article
  49. Ahmadian, A., Salahshour, S., Chan, C. S. (2015). A Runge-Kutta method with reduced number of function evaluations to solve hybrid fuzzy differential equations, Soft Computing. 19(4), 1051-1062
  50. Hoo, W. L., Chan, C. S. (2015). Recognizing unknown objects with attributes relationship model, Expert Systems with Applications. 42(239279-9283), Article
  51. Hoo, W. L., Chan, C. S. (2015). Zero-Shot Object Recognition System Based on Topic Model, Ieee Transactions on Human-Machine Systems. 45(4518-525), Article
  52. Hoo, W. L., Lim, C. H., Chan, C. S. (2015). Keybook: Unbias object recognition using keywords. Expert Systems with Applications, 42(8), 3991-3999.
  53. Lee, H. Y., Hoo, W. L., Chan, C. S. (2015). Color video denoising using epitome and sparse coding, Expert Systems with Applications. 42(2), 751-759
  54. Lim, C. H., Vats, E., Chan, C. S. (2015). Fuzzy human motion analysis: A review, Pattern Recognition. 48(5), 1773-1796
  55. Lim, C. K., Chan, C. S. (2015). A weighted inference engine based on interval-valued fuzzy relational theory, Expert Systems with Applications. 42(7), 3410-3419
  56. Salahshour, S., Ahmadian, A., Chan, C. S. (2015). Successive approximation method for Caputo q-fractional IVPs, Communications in Nonlinear Science and Numerical Simulation. 24(1-3), 153-158
  57. Tang, D., Yusuf, B., Botzheim, J., Kubota, N., Chan, C. S. (2015). A novel multimodal communication framework using robot partner for aging population, Expert Systems with Applications. 42(9), 4540-4555
  58. Vats, E., Lim, C. K., Chan, C. S. (2015). An improved BK sub-triangle product approach for scene classification, Journal of Intelligent Fuzzy Systems. 29(51923-1931), Article
  59. Lim, C. H., Risnumawan, A., Chan, C. S. (2014). A Scene Image is Nonmutually Exclusive-A Fuzzy Qualitative Scene Understanding, Ieee Transactions on Fuzzy Systems. 22(6), 1541-1556
  60. Lim, M. K., Chan, C. S., Monekosso, D., Remagnino, P. (2014). Detection of salient regions in crowded scenes, Electronics Letters. 50(5), 363-3640013-5194.
  61. Lim, M. K., Chan, C. S., Monekosso, D., Remagnino, P. (2014). Refined particle swarm intelligence method for abrupt motion tracking, Information Sciences. 283, 267-287
  62. Lim, M. K., Tang, S., Chan, C. S. (2014). iSurveillance: Intelligent framework for multiple events detection in surveillance videos, Expert Systems with Applications. 41(10), 4704-4715
  63. Risnumawan, A., Shivakumara, P., Chan, C. S., Tan, C. L. (2014). A robust arbitrary text detection system for natural scene images, Expert Systems with Applications. 41(18), 8027-8048
  64. Vembarasan, V., Balasubramaniam, P., Chan, C. S. (2014). Non-fragile state observer design for neural networks with Markovian jumping parameters and time-delays, Nonlinear Analysis-Hybrid Systems. 14, 61-73
  65. Vembarasan, V., Balasubramaniam, P., Chan, C. S. (2014). Robust synchronization of uncertain chaotic neural networks with randomly occurring uncertainties and non-fragile output coupling delayed feedback controllers, Nonlinear Dynamics. 78(3), 2031-2047
  66. Abeywardena, I. S., Chan, C. S., Tham, C. Y. (2013). OERScout Technology Framework: A Novel Approach to Open Educational Resources Search, International Review of Research in Open and Distance Learning. 14(4), 214-237
  67. Tan, W. R., Chan, C. S., Yogarajah, P., Condell, J. (2012). A Fusion Approach for Efficient Human Skin Detection, Ieee Transactions on Industrial Informatics. 8(1), 138-147
  68. Lim, C. K., Chan, C. S. (2011). Logical Connectives and Operativeness of BK Sub-triangle Product in Fuzzy Inferencing, International Journal of Fuzzy Systems. 134(237-245), Article
Books
  1. Fan, L, Chan, C.S., Yang, Q. (2023). Digital Watermarking for Machine Learning Model. Springer Singapore
  2. Liu, H., Ju, Z., Ji, X., Chan, C.S., Khoury, M. (2017). Human Motion Sensing and Recognition: A Fuzzy Qualitative Approach. Springer-Verlag Berlin Heidelberg.
Article in Proceeding
WoS
  1. Cadoni, M. I., Lagorio, A., Grosso, E., Huei, T. J., Seng, C. C., & Ieee Comp, S. O. C. (2021). From early biological models to CNNs: do they look where humans look? 2020 25th International Conference on Pattern Recognition, 6313-6320. doi: 10.1109/icpr48806.2021.9412717
  2. Lim, Jia Qi; Chan, Chee Seng (2021). FROM GRADIENT LEAKAGE TO ADVERSARIAL ATTACKS IN FEDERATED LEARNING, 2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). , 3602-3606. doi:10.1109/ICIP42928.2021.9506589
  3. Lim, Jian Han; Tan, Chun Shui; Chan, Chee Seng; Welikala, Roshan Alex; Remagnino, Paolo; Rajendran, Senthilmani; Kallarakkal, Thomas George; Zain, Rosnah Binti; Jayasinghe, Ruwan Duminda; Rimal, Jyotsna; Kerr, Alexander Ross; Amtha, Rahmi; Patil, Karthikeya; Tilakaratne, Wanninayake Mudiyanselage; Gibson, John; Cheong, Sok Ching; Barman, Sarah Ann (2021). D'OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance for Early Detection of Oral Cancer, MEDICAL IMAGE UNDERSTANDING AND ANALYSIS (MIUA 2021). 12722, 408-422. doi:10.1007/978-3-030-80432-9_31
  4. Ong, Ding Sheng; Chan, Chee Seng; Ng, Kam Woh; Fan, Lixin; Yang, Qiang (2021). Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attacks, 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021. , 3629-3638. doi:10.1109/CVPR46437.2021.00363
  5. Fan, Lixin; Ng, Kam Woh; Ju, Ce; Zhang, Tianyu; Chan, Chee Seng (2020). Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes, PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE. , 825-831
  6. Lim, Yu-Quan; Chan, Chee Seng; Loo, Fung Ying (2020). STYLE-CONDITIONED MUSIC GENERATION, 2020 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME).
  7. Fan, Lixin; Ng, Kam Woh; Chan, Chee Seng (2019). Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019). 32
  8. Lim, Jian Han; Chan, Chee Seng (2019). MASK CAPTIONING NETWORK, 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). , 305-309
  9. Hoo, Wai Lam; Chan, Chee Seng (2018). ANISOTROPIC PARTIAL DIFFERENTIAL EQUATION BASED VIDEO SALIENCY DETECTION, 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). , 2311-2315
  10. Lim, Jian Han; Japar, Nurul; Ng, Chun Chet; Chan, Chee Seng (2018). Unprecedented Usage of Pre-trained CNNs on Beauty Product, PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18). , 2068-2072. doi:10.1145/3240508.3266433
  11. Ch'ng, Chee Kheng; Chan, Chee Seng (2017). Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition, 2017 14TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), VOL 1. , 935-942. doi:10.1109/ICDAR.2017.157
  12. Lee, Sue Han; Chang, Yang Loong; Chan, Chee Seng; Remagnino, Paolo (2017). HGO-CNN: HYBRID GENERIC-ORGAN CONVOLUTIONAL NEURAL NETWORK FOR MULTI-ORGAN PLANT CLASSIFICATION, 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). , 4462-4466
  13. Tan, Wei Ren; Chan, Chee Seng; Aguirre, Hernan E.; Tanaka, Kiyoshi (2017). ARTGAN: ARTWORK SYNTHESIS WITH CONDITIONAL CATEGORICAL GANs, 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). , 3760-3764
  14. Tan, Ying Hua; Chan, Chee Seng (2017). phi-LSTM: A Phrase-Based Hierarchical LSTM Model for Image Captioning, COMPUTER VISION - ACCV 2016, PT V. 10115, 101-117. doi:10.1007/978-3-319-54193-8_7
  15. Tan, Wei Ren; Chan, Chee Seng; Aguirre, Hernan E.; Tanaka, Kiyoshi (2016). Ceci n'est pas une pipe: A Deep Convolutional Network for Fine-art Paintings Classification, 2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). , 3703-3707. doi:10.1109/ICIP.2016.7533051
Scopus
  1. Hsu P.-H., Lin C.-T., Ng C.C., Long Kew J., Tan M.Y., Lai S.-H., Chan C.S., Zach C. (2022). Extremely Low-Light Image Enhancement with Scene Text Restoration, Proceedings - International Conference on Pattern Recognition. 2022-August, 317-323. doi:10.1109/ICPR56361.2022.9956716
  2. Hoe J.T., Ng K.W., Zhang T., Chan C.S., Song Y.-Z., Xiang T. (2021). One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective, Advances in Neural Information Processing Systems. 29, 24286-24298

PATENT/IPR

  • Method for Modelling Style of Musical Data
    Patent (National)
  • Method and apparatus for adaptive data clustering
    Patent (International)

SOCIAL RESPONSIBILITY ACTIVITIES

  • Covid-19 Immunisation Task Force (Citf) Under National Covid-19 Immunisation Programme (Pick), (03 Feb 2021 - 04 Dec 2021) (National)