John See  Ph.D

 
 (603) 8312 5478
 BR3005/AR4004, FCI

Senior Lecturer, Smart Cities Research Theme Lead
Visual Processing (ViPr) Lab
Faculty of Computing and Informatics
Multimedia University
63100 Cyberjaya, Selangor, Malaysia.

 

My research interests are in computer vision and machine intelligence, particularly with the goal of finding effective and efficient algorithms for visual intelligence. While I have delved into unconstrained face recognition in my Ph.D work, I have now moved on to other new areas such as facial micro-expression analysis, computational aesthetics and emotions in images, long-term video surveillance and a whole lot more.

I lead the Visual Processing (ViPr) Lab, where the Pattern Recognition and Analysis subgroup of the Center for Visual Computing (CVC) resides. I am also currently serving as the Smart Cities Research Theme lead in MMU, driving new initiatives into smart cities research.

News
Nov 2017 I'm co-organizing the inaugural Facial Micro-expression Grand Challenge (MEGC) Workshop at FG 2018 in May 2018. CFP and Challenge details TBA soon.
2 papers (1 oral, 1 poster) accepted to MMM 2018 in Bangkok, Thailand.
Sep 2017 2 papers on image aesthetics (1 oral, 1 poster) presented at ICIP 2017 in Beijing, China.
June 2017 I'm appointed Smart Cities Theme Lead @ MMU to coordinate and drive research relating to smart cities technologies, and to engage stakeholders and collaborators.
Recent Publications
Towards demographic-based photographic aesthetics prediction for portraitures
M. Kairanbay, J. See, L.-K. Wong,
Int. Conf. on Multimedia Modeling (MMM), 2018.
[bibtex] [pdf]
Vehicle semantics extraction and retrieval for long-term carpark video surveillance
C.W. Cheong, R.W.-S. Lim, J. See, L.-K. Wong, I.K.T. Tan, A. Aris,
Int. Conf. on Multimedia Modeling (MMM), 2018.
[bibtex] [pdf]
Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition
Huai-Qian Khor, John See, Raphael C.-W. Phan, Weiyao Lin,
13th IEEE Int. Conference on Automatic Face & Gesture Recognition (FG 2018), 2018.
[bibtex]
Micro-Expression Motion Magnification: Global Lagrangian vs. Local Eulerian Approaches
A. C. Le Ngo, Alan Johnston, Raphael C.-W. Phan, John See,
13th IEEE Int. Conference on Automatic Face & Gesture Recognition (FG 2018), 2018.
[bibtex]
Facial Micro-Expressions Grand Challenge 2018 Summary
Moi Hoon Yap, John See, Xiaopeng Hong, Su-Jing Wang,
13th IEEE Int. Conference on Automatic Face & Gesture Recognition (FG 2018), 2018.
[bibtex]
Exploiting textures for better action recognition in low-quality videos
S. Rahman, J. See, C.C. Ho,
EURASIP Journal on Image and Video Processing, Springer, Vol. 2017, No. 1, 2017.
[bibtex] [pdf]
Sparsity in dynamics of spontaneous subtle emotions: Analysis & application
A.C. Le Ngo, J. See, R. C.-W. Phan,
IEEE Transactions on Affective Computing, Vol. 8, No. 3, 2017.
[bibtex] [pdf] [doi]
Less is more: Micro-expression recognition from video using apex frame
S.-T. Liong, J. See, K. Wong, R.C.-W. Phan,
Signal Processing: Image Communication, 2017.
(Accepted, In Print) [arxiv] [bibtex]
Pic2Geom: A fast rendering algorithm for low-poly geometric art
R. Ng, L.-K. Wong, J. See,
Pacific-Rim Conference on Multimedia (PCM), 2017.
[bibtex] [pdf]
Effective recognition of facial micro-expressions with video motion magnification
Y. Wang, J. See, Y.-H. Oh, R.C.-W. Phan, Y. Rahulamathavan, H.-C. Ling, S.-W. Tan, X. Li,
Multimedia Tools and Applications, Vol. 76, No. 20, 2017.
[bibtex] [pdf] [doi]
Hybrid facial region extraction for micro-expression recognition system
S.-T. Liong, J. See, R.C.-W. Phan, K. Wong, S.-W. Tan,
Journal of Signal Processing Systems, 2017.
(Accepted, In Print) [bibtex] [pdf] [doi]
On vehicle state tracking for long-term carpark video surveillance
R.W.-S. Lim, C.W. Cheong, J. See, I.K.T. Tan, L.-K. Wong, H.-Q. Khor,
Int. Conf. on Signal and Image Processing Applications (ICSIPA), 2017.
[bibtex] [pdf]
Filling the gaps: Reducing the complexity of networks for multi-attribute image aesthetic prediction
M. Kairanbay, J. See, L.-K. Wong, Y.-L. Hii,
Int. Conf. on Image Processing (ICIP), 2017.
[bibtex] [pdf]
MultiGAP: Multi-pooled inception network with text augmentation for aesthetic prediction of photographs
Y.-L. Hii, J. See, M. Kairanbay, L.-K. Wong,
Int. Conf. on Image Processing (ICIP), 2017.
[bibtex] [pdf]
Lost in Time: Temporal analytics for long-term video surveillance
H.-Q. Khor, J. See,
Int. Conf. on Computational Science and Technology (ICCST), 2017.
[bibtex] [pdf]
More publications here...
Current Students
  • Khor Huai Qian (MSc, 2017 – Current)
  • Tazeek bin Abdur Rakib (MSc, 2017 – Current)
  • Clarence Cheong (MSc, 2016 – Current)
  • Ryan Lim, (MSc, 2016 – Current)
  • Magzhan Kairanbay, (PhD, 2016 – Current)
  • Tan Chun Hau, (MSc, 2016 – Current) co-advising with Lai-Kuan Wong
  • Muhamad Faiz Ghazali, (MSc, 2016 – Current) co-advising with Lai-Kuan Wong
Past Students
  • Saimunur Rahman (MSc, 2014 – 2016) Currently R&D Engineer at Vitrox
  • Mahdi Saemi (Student RA, Nov 2014 – Feb 2015)
  • Tan Suyin (Student RA, Feb–Oct 2014)
Collaborators
  • Micro-expressions: Raphael Phan, Anh Cat Le Ngo (University of Nottingham, UK), Yandan Wang (Wenzhou Uni), Chrystalle Tan (Universiti Malaysia Sabah), Oh Yee Hui, Christy Liong (
  • Image Aesthetics and Abstraction: Wong Lai Kuan
  • Surveillance and Activity: Chan Chee Seng
  • Games and Gestures: Albert Quek
On-going Projects

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Previous Projects

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