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2020 – today
- 2021
[j6]Pau-Ek Low, Lai-Kuan Wong
, John See, Ruisheng Ng:
Pic2PolyArt: Transforming a photograph into polygon-based geometric art. Signal Process. Image Commun. 91: 116090 (2021)- [j5]Shintami Chusnul Hidayati, Ting Wei Goh, Ji-Sheng Gary Chan, Cheng-Chun Hsu, John See, Lai-Kuan Wong, Kai-Lung Hua, Yu Tsao, Wen-Huang Cheng:
Dress With Style: Learning Style From Joint Deep Embedding of Clothing Styles and Body Shapes. IEEE Trans. Multim. 23: 365-377 (2021) - 2020
- [c24]Yean-Wei Lee, Lai-Kuan Wong, John See:
Image Dehazing With Contextualized Attentive U-NET. ICIP 2020: 1068-1072 - [c23]Lucinda Lim, Huai-Qian Khor, Phatcharawat Chaemchoy, John See, Lai-Kuan Wong:
Where Is The Emotion? Dissecting A Multi-Gap Network For Image Emotion Classification. ICIP 2020: 1886-1890 - [c22]June Hao Ching, John See, Lai-Kuan Wong:
Learning Image Aesthetics by Learning Inpainting. ICIP 2020: 2246-2250 - [c21]Tanaya Guha, Vlad Hosu, Dietmar Saupe, Bastian Goldlücke, Naveen Kumar, Weisi Lin, Victor R. Martinez, Krishna Somandepalli, Shrikanth Narayanan, Wen-Huang Cheng, Kree McLaughlin, Hartwig Adam, John See, Lai-Kuan Wong:
ATQAM/MAST'20: Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends. ACM Multimedia 2020: 4758-4760
2010 – 2019
- 2019
- [j4]Magzhan Kairanbay, John See, Lai-Kuan Wong:
Beauty Is in the Eye of the Beholder: Demographically Oriented Analysis of Aesthetics in Photographs. ACM Trans. Multim. Comput. Commun. Appl. 15(2s): 63:1-63:21 (2019) - [c20]Nelson Chong, Lai-Kuan Wong, John See:
GANmera: Reproducing Aesthetically Pleasing Photographs Using Deep Adversarial Networks. CVPR Workshops 2019: 2179-2187 - [c19]Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232 - [c18]Clarence Weihan Cheong, Ryan Woei-Sheng Lim, John See, Lai-Kuan Wong, Ian K. T. Tan:
Efficient Semantic-Based Vehicle Retrieval in Long-term Car Park Videos. ICME Workshops 2019: 138-143 - [c17]Yan-Han Chew, Lai-Kuan Wong, John See, Huai-Qian Khor, Balasubramanian Abivishaq:
LiteEmo: Lightweight Deep Neural Networks for Image Emotion Recognition. MMSP 2019: 1-6 - [c16]Md Baharul Islam, Lai-Kuan Wong, Kok-Lim Low, Chee-Onn Wong:
Warping-Based Stereoscopic 3D Video Retargeting With Depth Remapping. WACV 2019: 1655-1663 - 2018
- [j3]Lu Wang, Lai-Kuan Wong, Yajie Xu, Xiao Zhou, Siyuan Qiu, Xiangxu Meng, Chenglei Yang:
The design and empirical evaluations of 3D positioning techniques for pressure-based touch control on mobile devices. Pers. Ubiquitous Comput. 22(3): 525-533 (2018) - [j2]Md Baharul Islam, Lai-Kuan Wong, Kok-Lim Low, Chee-Onn Wong:
Aesthetics-Driven Stereoscopic 3-D Image Recomposition With Depth Adaptation. IEEE Trans. Multim. 20(11): 2964-2979 (2018) - [c15]John See, Lai-Kuan Wong, Magzhan Kairanbay:
Paying Attention to Style: Recognizing Photo Styles with Convolutional Attentional Units. ACCV Workshops 2018: 110-124 - [c14]Clarence Weihan Cheong, Ryan Woei-Sheng Lim, John See, Lai-Kuan Wong, Ian K. T. Tan, Azrin Aris:
Vehicle Semantics Extraction and Retrieval for Long-Term Carpark Video Surveillance. MMM (2) 2018: 315-326 - [c13]Magzhan Kairanbay, John See, Lai-Kuan Wong:
Towards Demographic-Based Photographic Aesthetics Prediction for Portraitures. MMM (1) 2018: 531-543 - 2017
- [j1]Md Baharul Islam, Lai-Kuan Wong, Chee-Onn Wong:
A survey of aesthetics-driven image recomposition. Multim. Tools Appl. 76(7): 9517-9542 (2017) - [c12]Yong-Lian Hii, John See, Magzhan Kairanbay, Lai-Kuan Wong:
Multigap: Multi-pooled inception network with text augmentation for aesthetic prediction of photographs. ICIP 2017: 1722-1726 - [c11]Magzhan Kairanbay, John See, Lai-Kuan Wong, Yong-Lian Hii:
Filling the gaps: Reducing the complexity of networks for multi-attribute image aesthetic prediction. ICIP 2017: 3051-3055 - [c10]Ryan Woei-Sheng Lim, Clarence Weihan Cheong, John See, Ian K. T. Tan, Lai-Kuan Wong, Huai-Qian Khor:
On vehicle state tracking for long-term carpark video surveillance. ICSIPA 2017: 368-373 - [c9]Ruisheng Ng, Lai-Kuan Wong, John See:
Pic2Geom: A Fast Rendering Algorithm for Low-Poly Geometric Art. PCM (2) 2017: 368-377 - 2016
- [c8]Magzhan Kairanbay, John See, Lai-Kuan Wong:
Aesthetic Evaluation of Facial Portraits Using Compositional Augmentation for Deep CNNs. ACCV Workshops (2) 2016: 462-474 - [c7]Siyuan Qiu, Lu Wang, Lai-Kuan Wong:
Pressure-based touch positioning techniques for 3D objects. I3D 2016: 199-200 - 2015
- [c6]Md Baharul Islam, Lai-Kuan Wong, Chee-Onn Wong, Kok-Lim Low:
Stereoscopic image warping for enhancing composition aesthetics. ACPR 2015: 645-649 - [c5]Kai-Lung Hua, Wen-Huang Cheng, Lai-Kuan Wong, Chin-Kuan Ho:
Workshop I: International workshop on Learning Semantics for Multimedia Big Data (LSMBD). ACPR 2015: xxii-xxiii - [c4]Chun-Hau Tan, Md Baharul Islam, Lai-Kuan Wong, Kok-Lim Low:
Semantics-Preserving Warping for Stereoscopic Image Retargeting. PSIVT 2015: 257-268 - 2012
- [c3]Lai-Kuan Wong, Kok-Lim Wong:
Enhancing visual dominance by semantics-preserving image recomposition. ACM Multimedia 2012: 845-848 - 2011
- [c2]Lai-Kuan Wong, Kok-Lim Low:
Saliency retargeting: An approach to enhance image aesthetics. WACV 2011: 73-80
2000 – 2009
- 2009
- [c1]Lai-Kuan Wong, Kok-Lim Low:
Saliency-enhanced image aesthetics class prediction. ICIP 2009: 997-1000
Coauthor Index
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