Prof Moi Hoon Yap

Academic and professional qualifications

PhD, PGCHEP, MSc, BSc (hons)

Previous employment

University of Bradford, UK
University of Loughborough, UK
Multimedia University, Malaysia
Tunku Abdul Rahman College, Malaysia

Other academic service (administration and management)

Principal Investigator and managing the following projects:
Face and Gesture
Histological Image Analysis
MRI Image Analysis and Reconstructions 
Micro Facial Expressions Tool

Why study Computer Vision and Mobile App Development?

Undergraduate courses

Mobile Applications Development
Java Programming
Algorithms and Data Structures

Postgraduate supervision (completed/in progress)

http://www2.docm.mmu.ac.uk/STAFF/M.Yap/phdstudents.php

External examiner roles

MSc in Advanced Computer Science, University of Huddersfield (2017 - 2021)
FdSc Computing, Furness College in Barrow in Furness, University of Cumbria (2015 - current)
Tunku Abdul Rahman College (TARC), Malaysia (2011 - 2017)
INTI International University, Malaysia (2012-2013) 

Research expertise

Computer Vision, Facial and Gesture Analysis, Medical Image Analysis, Human Behavioral Analysis

Academic collaborations

http://www2.docm.mmu.ac.uk/STAFF/M.Yap/researchpartners.php

Publications

• Featured Works

  J. Jam, C. Kendrick, V. Drouard, K. Walker, GS. Hsu, et al. MH. Yap. (2021). R-MNet: A perceptual adversarial network for image inpainting. Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021. pp.2713-2722.

  M. Goyal, ND. Reeves, AK. Davison, S. Rajbhandari, J. Spragg, et al. MH. Yap. (2020). DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification. IEEE Transactions on Emerging Topics in Computational Intelligence. 4(5), pp.728-739.

  MH. Yap, J. See, X. Hong, S-J. Wang (2018). Facial Micro-Expressions Grand Challenge 2018 Summary. In: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018). Xi an, PEOPLES R CHINA, 15/5/2018. pp.675-678.

  MH. Yap, G. Pons, J. Marti, S. Ganau, M. Sentis, et al. R. Zwiggelaar, AK. Davison, R. Marti. (2017). Automated Breast Ultrasound Lesions Detection using Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics. 22(4), pp.1218-1226.

  D. Leightley, MH. Yap, J. McPhee (2016). Automated Analysis and Quantification of Human Mobility using a Depth Sensor. IEEE journal of biomedical and health informatics.

• Books (authored/edited/special issues)

  MH. Yap, C. Kendrick, B. Cassidy (2023). Preface.

  MH. Yap, B. Cassidy, C. Kendrick (2022). Preface.

• Journal articles

  MH. Yap, B. Cassidy, M. Byra, T-Y. Liao, H. Yi, et al. A. Galdran, Y-H. Chen, R. Brüngel, S. Koitka, CM. Friedrich, Y-W. Lo, C-H. Yang, K. Li, Q. Lao, MAG. Ballester, G. Carneiro, Y-J. Ju, J-D. Huang, JM. Pappachan, ND. Reeves, V. Chandrabalan, D. Dancey, C. Kendrick. (2024). Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. Med Image Anal. 94, pp.103153-103153.

  J. Li, MH. Yap, W-H. Cheng, J. See, X. Hong, et al. X. Li, S-J. Wang. (2023). Editorial for pattern recognition letters special issue on face-based emotion understanding. Pattern Recognition Letters. 168, pp.8-9.

  MS. Mohd Yazed, EF. Ahmad Shaubari, MH. Yap (2023). A Review of Neural Network Approach on Engineering Drawing Recognition and Future Directions. JOIV : International Journal on Informatics Visualization. 7(4), pp.2513-2522.

  IS. Boon, RPJ. Teo, MH. Yap, JS. Lim, HL. Goh, et al. CS. Boon, TPT. Au Yong. (2022). Re: Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital. Clin Radiol. 77(2), pp.156-157.

  CH. Yap, R. Cunningham, AK. Davison, MH. Yap (2021). Synthesising facial macro-and micro-expressions using reference guided style transfer. Journal of Imaging. 7(8), pp.142-142.

  MH. Yap, R. Hachiuma, A. Alavi, R. Brüngel, B. Cassidy, et al. M. Goyal, H. Zhu, J. Rückert, M. Olshansky, X. Huang, H. Saito, S. Hassanpour, CM. Friedrich, DB. Ascher, A. Song, H. Kajita, D. Gillespie, ND. Reeves, JM. Pappachan, C. O'Shea, E. Frank. (2021). Deep learning in diabetic foot ulcers detection: A comprehensive evaluation. Computers in Biology and Medicine. 135,

  MH. Yap, N. Batool, CC. Ng, M. Rogers, K. Walker (2021). A Survey on Facial Wrinkles Detection and Inpainting: Datasets, Methods, and Challenges. IEEE Transactions on Emerging Topics in Computational Intelligence. 5(4), pp.505-519.

  J. Dokmegang, MH. Yap, L. Han, M. Cavaliere, R. Doursat (2021). Computational modelling unveils how epiblast remodelling and positioning rely on trophectoderm morphogenesis during mouse implantation. PLoS ONE. 16(7 July),

  IS. Boon, MH. Yap, TPT. Au Yong, CS. Boon (2021). The COVID-19 Pandemic as a Catalyst for a National Cancer Imaging Repository: Answering the Topol Review. Clinical Oncology. 33(3), pp.e194-e194.

  J. Jam, C. Kendrick, K. Walker, V. Drouard, JGS. Hsu, et al. MH. Yap. (2021). A comprehensive review of past and present image inpainting methods. Computer Vision and Image Understanding. 203,

  J. Jam, C. Kendrick, V. Drouard, K. Walker, GS. Hsu, et al. MH. Yap. (2021). R-MNet: A perceptual adversarial network for image inpainting. Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021. pp.2713-2722.

  B. Cassidy, ND. Reeves, JM. Pappachan, D. Gillespie, C. O'Shea, et al. S. Rajbhandari, AG. Maiya, E. Frank, AJM. Boulton, DG. Armstrong, B. Najafi, J. Wu, RS. Kochhar, MH. Yap. (2021). The DFUC 2020 dataset: Analysis towards diabetic foot ulcer detection. European Endocrinology. 1(1), pp.5-11.

  IS. Boon, JS. Lim, MH. Yap, TPT. Au Yong, CS. Boon (2020). Artificial intelligence and soft skills in radiation oncology: Data versus wisdom. Journal of Medical Imaging and Radiation Sciences. 51(4), pp.S114-S115.

  IS. Boon, MH. Yap, TPT. Au Yong, CS. Boon (2020). Interpreting clinical significance of machine learning approaches and radiomics in radiation oncology trials. Radiotherapy and Oncology. 152, pp.78-79.

  M. Goyal, ND. Reeves, AK. Davison, S. Rajbhandari, J. Spragg, et al. MH. Yap. (2020). DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification. IEEE Transactions on Emerging Topics in Computational Intelligence. 4(5), pp.728-739.

  S. Ahmed, MH. Yap, M. Tan, MK. Hasan (2020). ReCoNet: Multi-level Preprocessing of Chest X-rays for COVID-19 Detection Using Convolutional Neural Networks.

  IS. Boon, MH. Yap, TPT. Au Yong, CS. Boon (2020). Radiomics: Quantitative Radiology transforming Oncology Care. British Journal of Radiology. 93(1111),

  RM. Elbashir, MH. Yap (2020). Evaluation of automatic facial wrinkle detection algorithms. Journal of Imaging. 6(4),

  FM. Osman, MH. Yap (2020). Adjusted Quick Shift Phase Preserving Dynamic Range Compression method for breast lesions segmentation. Informatics in Medicine Unlocked. 20,

  GS. Hsu, WF. Huang, MH. Yap (2020). Edge-Embedded Multi-Dropout Framework for Real-Time Face Alignment. IEEE Access. 8, pp.6032-6044.

  W. Merghani, AK. Davison, MH. Yap (2019). The implication of spatial temporal changes on facial micro-expression analysis. Multimedia Tools and Applications. 78(15), pp.21613-21628.

  R. Agarwal, O. Diaz, X. Lladó, MH. Yap, R. Martí (2019). Automatic mass detection in mammograms using deep convolutional neural networks. Journal of Medical Imaging. 6(3),

  M. Goyal, A. Oakley, P. Bansal, D. Dancey, MH. Yap (2019). Automatic Lesion Boundary Segmentation in Dermoscopic Images with Ensemble Deep Learning Methods.

  MH. Yap, J. Alarifi, CC. Ng, N. Batool, K. Walker (2019). Automated facial wrinkles annotator. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11132 LNCS, pp.676-680.

  M. Goyal, J. Ng, MH. Yap (2018). Multi-Class Lesion Diagnosis with Pixel-wise Classification Network.

  S. Pandya, H. Ghayvat, K. Kotecha, MH. Yap, P. Gope (2018). Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring, Smart Home Security and Large Video Data Handling for Wellness Protocol.

  C. Kendrick, K. Tan, K. Walker, M. Yap (2018). Towards Real-Time Facial Landmark Detection in Depth Data Using Auxiliary Information. Symmetry. 10(6), pp.230-230.

  W. Merghani, AK. Davison, MH. Yap (2018). A Review on Facial Micro-Expressions Analysis: Datasets, Features and Metrics.

  D. Leightley, MH. Yap (2018). Digital Analysis of Sit-to-Stand in Masters Athletes, Healthy Old People, and Young Adults Using a Depth Sensor. Healthcare. 6(1),

  MH. Yap, G. Pons, J. Marti, S. Ganau, M. Sentis, et al. R. Zwiggelaar, AK. Davison, R. Marti. (2017). Automated Breast Ultrasound Lesions Detection using Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics. 22(4), pp.1218-1226.

  D. Leightley, MH. Yap, J. Coulson, M. Piasecki, J. Cameron, et al. Y. Barnouin, J. Tobias, JS. McPhee. (2017). Postural Stability During Standing Balance and Sit-to-Stand in Master Athlete Runners Compared With Non-Athletic Old and Young Adults. Journal of aging and physical activity.

  M. Yap Facial Behavioral Analysis: A Case Study in Deception Detection. British Journal of Applied Science & Technology. 4(10), pp.1485-1496.

  S. Pandya, K. Kotecha, H. Ghayvat, MH. Yap, P. Gope (2017). Smart Home Anti-Theft System: Novel Approach for Near Real Time Monitoring, Smart Home Security and Large Video Data Handling for Wellness Protocol.

  D. Leightley, MH. Yap, J. McPhee (2016). Automated Analysis and Quantification of Human Mobility using a Depth Sensor. IEEE journal of biomedical and health informatics.

  E. Ahmad, MH. Yap, H. Degens, J. McPhee (2014). Enhancement of MRI human thigh muscle segmentation by template-based framework. 2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014). pp.405-410.

  E. Ahmad, MH. Yap, H. Degens, JS. McPhee (2014). Atlas-registration based image segmentation of MRI human thigh muscles in 3D space. SPIE Proceedings. 9037,

  D. Leightley, J. Darby, . Baihua Li, JS. McPhee, . Moi Hoon Yap (2013). Human Activity Recognition for Physical Rehabilitation. 2013 IEEE International Conference on Systems, Man, and Cybernetics. pp.261-266.

  MH. Yap, H. Ugail, R. Zwiggelaar (2013). A database for facial behavioural analysis. 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013.

  MH. Yap, H. Ugail, R. Zwiggelaar (2012). Intensity score for facial actions detection in near-frontal-view face sequences. 2012 International Conference on Computer and Communication Engineering, ICCCE 2012. pp.819-824.

  X. Han, MH. Yap, I. Palmer (2012). Face Recognition in the Presence of Expressions. Journal of Software Engineering and Applications. 05(05), pp.321-329.

  MH. Yap, B. Rajoub, H. Ugail, R. Zwiggelaar (2011). Visual cues of facial behaviour in deception detection. ICCAIE 2011 - 2011 IEEE Conference on Computer Applications and Industrial Electronics. pp.294-299.

  MH. Yap, H. Ugail, R. Zwiggelaar, B. Rajoub (2010). Facial image processing for facial analysis. Proceedings - International Carnahan Conference on Security Technology. pp.198-204.

  MH. Yap, E. Edirisinghe, H. Bez (2010). Processed images in human perception: a case study in ultrasound breast imaging. Eur J Radiol. 73(3), pp.682-687.

  MH. Yap, EA. Edirisinghe, HE. Bez (2010). Computer Aided Detection and Recognition of Lesions in Ultrasound Breast Images. Int. J. Comput. Model. Algorithms Medicine. 1, pp.53-81.

  MH. Yap, EA. Edirisinghe, HE. Bez (2009). A comparative study in ultrasound breast imaging classification. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 7259,

  MH. Yap, AG. Gale (2009). Individualised grid-enabled mammographic training system. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 7264,

  MH. Yap, EA. Edirisinghe, HE. Bez (2008). A novel algorithm for initial lesion detection in ultrasound breast images. J Appl Clin Med Phys. 9(4), pp.181-199.

  MH. Yap, AG. Gale (2008). Grid-enabled Mammographic Auditing and Training System. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 6919,

  MH. Yap, EA. Edirisinghe, HE. Bez (2008). A novel algorithm for initial lesion detection in ultrasound breast images. Journal of Applied Clinical Medical Physics. 9(4), pp.181-199.

  MH. Yap, EA. Edirisinghe, HE. Bez (2007). Fully automatic lesion boundary detection in ultrasound breast images. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 6512(PART 3),

  MH. Yap, EA. Edirisinghe, HE. Bez (2006). Initial lesion detection in ultrasound breast images. Proceedings of the 6th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2006. pp.215-220.

• Chapters in books

  IS. Boon, MH. Yap, TPT. Au Yong, CS. Boon (2024). Case study: Deep learning in radiotherapy auto segmentation. In: Machine Learning and Artificial Intelligence in Radiation Oncology. Elsevier, pp.355-364.

  J. Jaworek-Korjakowska, MH. Yap, D. Bhattacharjee, P. Kleczek, A. Brodzicki, et al. M. Gorgon. (2023). Deep neural networks and advanced computer vision algorithms in the early diagnosis of skin diseases. In: State of the Art in Neural Networks and Their Applications. Elsevier, pp.47-81.

  C. Kendrick, B. Cassidy, ND. Reeves, JM. Pappachan, C. O’Shea, et al. V. Chandrabalan, MH. Yap. (2023). Diabetic Foot Ulcer Grand Challenge 2022 Summary. In: Diabetic Foot Ulcers Grand Challenge. Springer International Publishing, pp.115-123.

  IC. Dipto, B. Cassidy, C. Kendrick, ND. Reeves, JM. Pappachan, et al. V. Chandrabalan, MH. Yap. (2023). Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer Classification. In: Diabetic Foot Ulcers Grand Challenge. Springer International Publishing, pp.1-18.

  J. Jaworek-Korjakowska, A. Wojcicka, D. Kucharski, A. Brodzicki, C. Kendrick, et al. B. Cassidy, MH. Yap. (2023). Skin_Hair Dataset: Setting the Benchmark for Effective Hair Inpainting Methods for Improving the Image Quality of Dermoscopic Images. In: Lecture Notes in Computer Science. Springer Nature Switzerland, pp.167-184.

  R. Agarwal, MH. Yap, MK. Hasan, R. Zwiggelaar, R. Martí (2022). Deep Learning in Mammography Breast Cancer Detection. In: Artificial Intelligence in Medicine. Springer International Publishing, pp.1287-1300.

  M. Goyal, ND. Reeves, S. Rajbhandari, MH. Yap (2022). Computerised Methods for Monitoring Diabetic Foot Ulcers on Plantar Foot: A Feasibility Study. In: Medical Image Understanding and Analysis. Springer International Publishing, pp.199-211.

  ND. Reeves, B. Cassidy, CA. Abbott, MH. Yap (2021). Novel technologies for detection and prevention of diabetic foot ulcers. In: The Science, Etiology and Mechanobiology of Diabetes and its Complications. Elsevier, pp.107-122.

  D. Leightley, B. Li, JS. McPhee, MH. Yap, J. Darby (2014). Exemplar-Based Human Action Recognition with Template Matching from a Stream of Motion Capture. In: Lecture Notes in Computer Science. Springer International Publishing, pp.12-20.

  MH. Yap, H. Ugail (2013). Facial Image Processing in Computer Vision. In: Image Processing. IGI Global, pp.1111-1123.

  MH. Yap, E. Edirisinghe, H. Bez (2012). Computer Aided Detection and Recognition of Lesions in Ultrasound Breast Images. In: Innovations in Data Methodologies and Computational Algorithms for Medical Applications. IGI Global, pp.125-152.

  MH. Yap, H. Ugail (2011). Facial Image Processing in Computer Vision. In: Applied Signal and Image Processing. IGI Global, pp.179-190.

• Conferences

  AK. Davison, J. Li, M. Yap, J. See, WH. Cheng, et al. X. Li, X. Hong, SJ. Wang. (2023). ACMMM Workshop FME’23 Chairs’ Welcome. In: FME 2023 - Proceedings of the 3rd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis, Co-located with: MM 2023.

  AK. Davison, J. Li, MH. Yap, J. See, W-H. Cheng, et al. X. Li, X. Hong, S-J. Wang. (2023). FME '23: 3rd Facial Micro-Expression Workshop. In: Proceedings of the 31st ACM International Conference on Multimedia. pp.9736-9738.

  AK. Davison, J. Li, MH. Yap, J. See, W-H. Cheng, et al. X. Li, X. Hong, S-J. Wang. (2023). MEGC2023: ACM Multimedia 2023 ME Grand Challenge. In: Proceedings of the 31st ACM International Conference on Multimedia. pp.9625-9629.

  M. Eisenmann, A. Reinke, V. Weru, MD. Tizabi, F. Isensee, et al. TJ. Adler, S. Ali, V. Andrearczyk, M. Aubreville, U. Baid, S. Bakas, N. Balu, S. Bano, J. Bernal, S. Bodenstedt, A. Casella, V. Cheplygina, M. Daum, M. De Bruijne, A. Depeursinge, R. Dorent, J. Egger, DG. Ellis, S. Engelhardt, M. Ganz, N. Ghatwary, G. Girard, P. Godau, A. Gupta, L. Hansen, K. Harada, M. Heinrich, N. Heller, A. Hering, A. Huaulmé, P. Jannin, AE. Kavur, O. Kodym, M. Kozubek, J. Li, H. Li, J. Ma, C. Martín-Isla, B. Menze, A. Noble, V. Oreiller, N. Padoy, S. Pati, K. Payette, T. Rädsch, J. Rafael-Patiño, VS. Bawa, S. Speidel, CH. Sudre, K. Van Wijnen, M. Wagner, D. Wei, A. Yamlahi, MH. Yap, C. Yuan, M. Zenk, A. Zia, D. Zimmerer, D. Aydogan, B. Bhattarai, L. Bloch, R. Brüngel, J. Cho, C. Choi, Q. Dou, I. Ezhov, CM. Friedrich, C. Fuller, RR. Gaire, A. Galdran, ÁG. Faura, M. Grammatikopoulou, S. Hong, M. Jahanifar, I. Jang, A. Kadkhodamohammadi, I. Kang, F. Kofler, S. Kondo, H. Kuijf, M. Li, M. Luu, T. Martinčič, P. Morais, MA. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Płotka, E. Puybareau, N. Rajpoot, K. Ryu, N. Saeed, A. Shephard, P. Shi, D. Štepec, R. Subedi, G. Tochon, HR. Torres, H. Urien, JL. Vilaça, KA. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, B. Wiestler, M. Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, K. Maier-Hein, PF. Jäger, A. Kopp-Schneider, L. Maier-Hein. (2023). Why is the Winner the Best?. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17/6/2023. pp.19955-19966.

  J. Li, MH. Yap, WH. Cheng, J. See, X. Hong, et al. X. Li, SJ. Wang. (2022). Proceedings of the 2nd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis. In: FME 2022 - Proceedings of the 2nd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis.

  J. Li, MH. Yap, W-H. Cheng, J. See, X. Hong, et al. X. Li, S-J. Wang. (2022). FME '22. In: Proceedings of the 30th ACM International Conference on Multimedia. pp.7397-7399.

  J. Li, MH. Yap, W-H. Cheng, J. See, X. Hong, et al. X. Li, S-J. Wang, AK. Davison, Y. Li, Z. Dong. (2022). MEGC2022. In: Proceedings of the 30th ACM International Conference on Multimedia. pp.7170-7174.

  SW. Pewton, MH. Yap (2022). Dark Corner on Skin Lesion Image Dataset: Does it matter?. In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 19/6/2022. pp.4830-4838.

  X. Yao, MH. Yap, Y. Zhang (2022). Towards a Deep Learning Approach for Automatic GUI Layout Generation. In: Lecture Notes in Networks and Systems. pp.19-27.

  WH. Cheng, J. Li, MH. Yap, SJ. Wang, J. See, et al. X. Hong, X. Li. (2021). FME'21 Chairs' Welcome. In: FME 2021 - Proceedings of the 1st Workshop on Facial Micro-Expression: Advanced Techniques for Facial Expressions Generation and Spotting.

  J. Li, MH. Yap, W-H. Cheng, J. See, X. Hong, et al. X. Li, S-J. Wang. (2021). FME'21. In: Proceedings of the 29th ACM International Conference on Multimedia. pp.5700-5701.

  MH. Yap, C. Kendrick, ND. Reeves, M. Goyal, JM. Pappachan, et al. B. Cassidy. (2022). Development of Diabetic Foot Ulcer Datasets: An Overview. In: DIABETIC FOOT ULCERS GRAND CHALLENGE (DFUC 2021). ELECTR NETWORK, 27/9/2021. pp.1-18.

  B. Cassidy, C. Kendrick, ND. Reeves, JM. Pappachan, C. O’Shea, et al. DG. Armstrong, MH. Yap. (2022). Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary. In: DIABETIC FOOT ULCERS GRAND CHALLENGE (DFUC 2021). ELECTR NETWORK, 27/9/2021. pp.90-105.

  MH. Yap, B. Cassidy, JM. Pappachan, C. O'Shea, D. Gillespie, et al. ND. Reeves. (2021). Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers. In: 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). 27/7/2021.

  R. Durall, J. Jam, D. Strassel, MH. Yap, J. Keuper (2021). FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces. In: 32nd British Machine Vision Conference, BMVC 2021.

  J. Jam, C. Kendrick, V. Drouard, K. Walker, GS. Hsu, et al. MH. Yap. (2021). Symmetric skip connection wasserstein GAN for High-resolution facial image inpainting. In: VISIGRAPP 2021 - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. pp.35-44.

  CH. Yap, C. Kendrick, MH. Yap (2020). SAMM Long Videos: A Spontaneous Facial Micro-and Macro-Expressions Dataset. In: Proceedings - 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020. pp.771-776.

  W. Merghani, MH. Yap (2020). Adaptive Mask for Region-based Facial Micro-Expression Recognition. In: Proceedings - 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020. pp.765-770.

  Y. He, SJ. Wang, J. Li, MH. Yap (2020). Spotting Macro-and Micro-expression Intervals in Long Video Sequences. In: Proceedings - 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020. pp.742-748.

  J. Li, SJ. Wang, MH. Yap, J. See, X. Hong, et al. X. Li. (2020). MEGC2020-The Third Facial Micro-Expression Grand Challenge. In: Proceedings - 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020. pp.777-780.

  GSJ. Hsu, HY. Wu, MH. Yap (2020). A comprehensive study on loss functions for cross-factor face recognition. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. pp.3604-3611.

  M. Goyal, MH. Yap, S. Hassanpour (2020). Multi-class semantic segmentation of skin lesions via fully convolutional networks. In: BIOINFORMATICS 2020 - 11th International Conference on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020. pp.290-294.

  X. Yao, MH. Yap, Y. Zhang (2019). An Empirical Study to Evaluate Structural Similarity for Source Code Translation. In: TIMES-iCON 2019 - 2019 4th Technology Innovation Management and Engineering Science International Conference.

  CH. Tang, GSJ. Hsu, M. Hoon Yap (2019). Face Recognition with Disentangled Facial Representation Learning and Data Augmentation. In: Proceedings - International Conference on Image Processing, ICIP. pp.1670-1674.

  J. Alarifi, J. Fry, D. Dancey, MH. Yap (2019). Understanding face age estimation: Humans and machine. In: CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems.

  GSJ. Hsu, CH. Tang, MH. Yap (2019). Face synthesis and recognition using disentangled representation-learning wasserstein gan. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. pp.2371-2379.

  J. See, MH. Yap, J. Li, X. Hong, SJ. Wang (2019). MEGC 2019 - The second facial micro-expressions grand challenge. In: Proceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019.

  J. Li, C. Soladié, R. Séguier, SJ. Wang, MH. Yap (2019). Spotting micro-expressions on long videos sequences. In: Proceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019.

  B. Hewitt, MH. Yap, J. Ng, M. Goyal (2019). The effect of color constancy algorithms on semantic segmentation of skin lesions. In: Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging. 16/2/2019.

  M. Goyal, J. Ng, A. Oakley, MH. Yap (2019). Skin lesion boundary segmentation with fully automated deep extreme cut methods. In: Progress in Biomedical Optics and Imaging - Proceedings of SPIE.

  G. Ascenso, C. Payton, T. Allen, M. Yap (2018). Non-invasive motion capture of swimmers. Manchester, 6/6/2018.

  W. Merghani, A. Davison, M. Yap (2018). Facial Micro-Expressions Grand Challenge 2018: Evaluating Spatio-Temporal Features for Classification of Objective Classes. In: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018). Xi an, PEOPLES R CHINA, 15/5/2018. pp.662-666.

  MH. Yap, J. See, X. Hong, S-J. Wang (2018). Facial Micro-Expressions Grand Challenge 2018 Summary. In: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018). Xi an, PEOPLES R CHINA, 15/5/2018. pp.675-678.

  E. Ahmad, JS. McPhee, H. Degens, MH. Yap (2018). Automatic Segmentation of MRI Human Thigh Muscles. In: Proceedings of the 2018 8th International Conference on Biomedical Engineering and Technology. pp.31-38.

  FM. Osman, R. Marti, R. Zwiggelaar, A. Juette, E. Denton, et al. MH. Yap, M. Goyal, EFB. Ahmad-Shaubari. (2018). End-to-end breast ultrasound lesions recognition with a deep learning approach. In: Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging. Houston, TX, 10/2/2018.

  MH. Yap, AN. Baharum, G. Ferris, H. Degens, EF. Ahmad Shaubari (2018). Capillary detection in transverse muscle sections. In: Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging. Houston, TX, 10/2/2018.

  C. Kendrick, K. Tan, K. Walker, MH. Yap (2018). The Application of Neural Networks for Facial Landmarking on Mobile Devices. In: Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Funchal, PORTUGAL, 27/1/2018. pp.189-197.

  OF. Osman, RMI. Elbashir, IE. Abbass, C. Kendrick, M. Goyal, et al. MH. Yap. (2017). Automated Assessment of Facial Wrinkling: a case study on the effect of smoking. In: 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, AB, 2017, pp. 1081-1086.

  S. Maudsley-Barton, J. McPheey, A. Bukowski, D. Leightley, MH. Yap (2017). A Comparative Study of the Clinical use of Motion Analysis from Kinect Skeleton Data. In: Published in: 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Banff, AB, Canada, 5/10/2017.

  G-SJ. Hsu, Y-T. Cheng, CC. Ng, MH. Yap (2017). Component Biologically Inspired Features with Moving Segmentation for Age Estimation. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Honolulu, HI, 21/7/2017. pp.540-547.

  C. Kendrick, K. Tan, T. Williams, MH. Yap (2017). An Online Tool for the Annotation of 3D Models. In: 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017). Washington, DC, 30/5/2017. pp.362-369.

  D. Leightley, SC. Mukhopadhyay, H. Ghayvat, MH. Yap (2017). Deep convolutional neural networks for motion instability identification using kinect. In: 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA). Nagoya Univ, Nagoya, JAPAN, 8/5/2017. pp.310-313.

  C-C. Ng, Y-T. Cheng, G-S. Hsu, MH. Yap (2017). Multi-layer age regression for face age estimation. In: 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA). Nagoya Univ, Nagoya, JAPAN, 8/5/2017. pp.294-297.

  S. Pandya, J. Shah, N. Joshi, H. Ghayvat, SC. Mukhopadhyay, et al. MH. Yap. (2016). A novel hybrid based recommendation system based on clustering and association mining. In: 2016 10th International Conference on Sensing Technology (ICST). 11/11/2016.

  MH. Yap, CH. Yap (2016). Breast ultrasound lesions classification: a performance evaluation between manual delineation and computer segmentation. In: SPIE Proceedings. San Diego, CA, 2/3/2016.

  D. Leightley, MH. Yap, J. Coulson, Y. Barnouin, JS. McPhee (2015). Benchmarking human motion analysis using kinect one: An open source dataset. In: 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA). Hong Kong, PEOPLES R CHINA, 16/12/2015. pp.1-7.

  AK. Davison, MH. Yap, C. Lansley (2015). Micro-Facial Movement Detection Using Individualised Baselines and Histogram-Based Descriptors. In: 2015 IEEE International Conference on Systems, Man, and Cybernetics. City Univ Hong Kong, Hong Kong, PEOPLES R CHINA, 9/10/2015. pp.1864-1869.

  C-C. Ng, MH. Yap, N. Costen, B. Li (2015). Will Wrinkle Estimate the Face Age?. In: 2015 IEEE International Conference on Systems, Man, and Cybernetics. City Univ Hong Kong, Hong Kong, PEOPLES R CHINA, 9/10/2015. pp.2418-2423.

  J. Brynielsson, MH. Yap (2015). Message from the Program Chairs. In: 2015 European Intelligence and Security Informatics Conference. 7/9/2015.

  B. Cassidy, G. Stringer, MH. Yap (2014). Mobile Framework for Cognitive Assessment: Trail Making Test and Reaction Time Test. In: 2014 IEEE International Conference on Computer and Information Technology. Xian, PEOPLES R CHINA, 11/9/2014. pp.700-705.

  A. Simpson, M. Slaymaker, D. Power, D. Russell, MH. Yap, et al. A. Gale. (2009). On the utilisation of a service-oriented infrastructure to support radiologist training. In: 2009 22ND IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS. Albuquerque, NM, 3/8/2009. pp.9-+.

  A. Simpson, M. Slaymaker, DJ. Power, D. Russell, MH. Yap, et al. AG. Gale. (2009). On the utilisation of a service-oriented infrastructure to support radiologist training. In: CBMS. pp.1-4.

  MH. Yap, H. Ugail, R. Zwiggelaar, BA. Rajoub, V. Doherty, et al. S. Appleyard, G. Hurdy. (2009). A Short Review of Methods for Face Detection and Multifractal Analysis. In: CW. pp.231-236.

  MH. Yap, AG. Gale, HJ. Scott (2008). Generic Infrastructure for Medical Informatics (GIMI): The Development of a Mammographic Training System. In: Digital Mammography / IWDM. pp.577-584.

  MH. Yap, EA. Edirisinghe, HE. Bez (2006). Object Boundary Detection in Ultrasound Images. In: CRV. pp.53-53.

  MH. Yap, M. Bister, HT. Ewe (2003). Gaussian Blurring-Deblurring for Improved Image Compression. In: DICTA. pp.165-174.

Conference organisation

http://www2.docm.mmu.ac.uk/STAFF/M.Yap/externalactivities.php

Grants

http://www2.docm.mmu.ac.uk/STAFF/M.Yap/research.php

Projects and initiatives

Keynote Speaker for International Symposium on Mathematical Sciences & Computing Research (iSMSC) 2013
Reviewer for a few international conferences and journals  
Emotional Skills and Competencies (May 2012) by Paul Ekman International plc
Evaluating Truthfulness and Credibility (May 2012) by Paul Ekman International plc

Exhibitions

Presented Wrinkles Age Prediction (Science of Me) at European City of Science 2016

Other distinctions

The Professor Ondrej Sykora Remembrance Prize, Loughborough University, 2008.
Certified Facial Action Coding (FACS) Coder

Membership of professional associations

Fellow of Higher Education Academy
Member of IEEE
Member of British Computer Society (BCS)
Facial Action Coding System (Certified FACS Coder)