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2020 – today
- 2025
[j12]Shaaban Mohammed Najib
, Chih-Yang Pee, Choo-Yee Ting, Lai-Kuan Wong:
DeepEarthMY: A Remote Sensing Dataset for Tropical Land-Cover Segmentation. IEEE Access 13: 69103-69115 (2025)- [j11]Ke Gu, Yuchen Liu, Hongyan Liu, Bo Liu, Lai-Kuan Wong, Weisi Lin, Junfei Qiao:
Model-Data Jointly Driven Method for Airborne Particulate Matter Monitoring. IEEE Trans. Emerg. Top. Comput. Intell. 9(3): 2557-2571 (2025) - [c42]Arbab Sufyan, Mohammad Faizal Ahmad Fauzi, Lai-Kuan Wong:
M3-Net: A Multi-Scale Nuclei Segmentation Model for Breast Cancer Histopathology Using Contextual Patches and Attention Mechanism. ISBI 2025: 1-4 - [c41]Xin Lim, Lai-Kuan Wong, Yuen Peng Loh, Ke Gu, Weisi Lin:
Mix-YOLONet: Deep Image Dehazing for Improving Object Detection. MMM (2) 2025: 379-393 - 2024
- [j10]Hou-I Liu, Marco Galindo, Hongxia Xie, Lai-Kuan Wong, Hong-Han Shuai, Yung-Hui Li, Wen-Huang Cheng:
Lightweight Deep Learning for Resource-Constrained Environments: A Survey. ACM Comput. Surv. 56(10): 267 (2024) - [j9]Guangcheng Wang, Quan Shi, Han Wang, Ke Gu, Mengting Wei, Lai-Kuan Wong, Mingxing Wang:
Vision-Based PM2.5 Concentration Estimation With Natural Scene Statistical Analysis. IEEE Trans. Artif. Intell. 5(6): 2805-2815 (2024) - [c40]Ming Xuan Chai, Yao Deng Fam, Quinito Norman Octaviano, Chih-Yang Pee, Lai-Kuan Wong, Mas Ira Syafila Mohd Hilmi Tan, John See:
Improved Cassava Plant Disease Classification with Leaf Detection. APSIPA 2024: 1-6 - [c39]Mas Ira Syafila Mohd Hilmi Tan, Lai-Kuan Wong, Yuen Peng Loh, Chih-Yang Pee:
Enhancing Early Plant Disease Detection: 1D to 2D Spectral Transformations. APSIPA 2024: 1-6 - [c38]Zheng-Xian Keh, Lai-Kuan Wong, Yuen Peng Loh, Ke Gu, Weisi Lin:
KBY-Net: A Dual Learning Framework for Improving Object Detection in Rainy Weather Conditions. MMAsia 2024: 84:1-84:7 - [c37]Jia Qing Poh, John See, Neamat El Gayar, Lai-Kuan Wong:
Are You Paying Attention? Multimodal Linear Attention Transformers for Affect Prediction in Video Conversations. MRAC@MM 2024: 15-23 - [i5]Hou-I Liu, Marco Galindo, Hongxia Xie, Lai-Kuan Wong, Hong-Han Shuai, Yung-Hui Li, Wen-Huang Cheng:
Lightweight Deep Learning for Resource-Constrained Environments: A Survey. CoRR abs/2404.07236 (2024) - 2023
- [j8]Chih-Yang Pee, Seng Huat Ong, P. Raveendran, Lai-Kuan Wong:
Efficient anisotropic scaling and translation invariants of Tchebichef moments using image normalization. Pattern Recognit. Lett. 169: 8-16 (2023) - [j7]Choon Chen Lim, Yuen Peng Loh, Lai-Kuan Wong:
LAU-Net: A low light image enhancer with attention and resizing mechanisms. Signal Process. Image Commun. 115: 116971 (2023) - [c36]Hassan Imani, Md Baharul Islam, Lai-Kuan Wong:
Saliency-aware Stereoscopic Video Retargeting. CVPR Workshops 2023: 1230-1239 - [c35]Sidharrth Nagappan, Jia Qi Tan, Lai-Kuan Wong, John See:
Context-Aware Multi-Stream Networks for Dimensional Emotion Prediction in Images. ICIP 2023: 2480-2484 - [c34]Choo Hui Tan, Wei Jie Lim, Wan Siti Halimatul Munirah Wan Ahmad, Lai-Kuan Wong, Zaka Ur Rehman, Lai-Meng Looi, Phaik-Leng Cheah, Toh Yen Fa, Mohammad Faizal Ahmad Fauzi:
HER2-Sish Histopathology Image Classification Using Deep Neural Networks. ICIP 2023: 2500-2504 - [i4]Hassan Imani, Md Baharul Islam, Lai-Kuan Wong:
Saliency-aware Stereoscopic Video Retargeting. CoRR abs/2304.08852 (2023) - 2022
- [c33]Hassan Imani, Md Baharul Islam, Lai-Kuan Wong:
A New Dataset and Transformer for Stereoscopic Video Super-Resolution. CVPR Workshops 2022: 705-714 - [c32]Masum Shah Junayed, Arezoo Sadeghzadeh, Md Baharul Islam, Lai-Kuan Wong, Tarkan Aydin:
HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model. CVPR Workshops 2022: 5208-5217 - [c31]Li-Wu Tsao, Yan-Kai Wang, Hao-Siang Lin, Hong-Han Shuai, Lai-Kuan Wong, Wen-Huang Cheng:
Social-SSL: Self-supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction. ECCV (22) 2022: 234-250 - [c30]Kannan Rithesh, Lai-Kuan Wong, John See, Wai-Yee Chan, Kwan Hong Ng:
DECOVID-CT: Lightweight 3D CNN for COVID-19 Infection Prediction. ICCE-TW 2022: 363-364 - [c29]Yong En Tan, John See, Junaidi Abdullah, Lai-Kuan Wong, Kar-Weng Ban:
A deep learning based framework for badminton rally outcome prediction. ISPACS 2022: 1-5 - [i3]Masum Shah Junayed, Arezoo Sadeghzadeh, Md Baharul Islam, Lai-Kuan Wong, Tarkan Aydin:
HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model. CoRR abs/2204.05007 (2022) - [i2]Hassan Imani, Md Baharul Islam, Lai-Kuan Wong:
A New Dataset and Transformer for Stereoscopic Video Super-Resolution. CoRR abs/2204.10039 (2022) - 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) - [c28]Yong-Yaw Yeo, John See, Lai-Kuan Wong, Hui-Ngo Goh:
Generating Aesthetic Based Critique For Photographs. ICIP 2021: 2523-2527 - [c27]Gen-Bing Liong, John See, Lai-Kuan Wong:
Shallow Optical Flow Three-Stream CNN For Macro- And Micro-Expression Spotting From Long Videos. ICIP 2021: 2643-2647 - [c26]Wei Chuan Lim, Chee-Onn Wong, Lai-Kuan Wong:
Color Aesthetic Enhancement for Categorical Data Visualization. IVIC 2021: 15-26 - [c25]Aristotle Tan, Hui-Ngo Goh, Lai-Kuan Wong:
Acquiring Input Features from Stock Market Summaries: A NLG Perspective. MIWAI 2021: 81-93 - [i1]Gen-Bing Liong, John See, Lai-Kuan Wong:
Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long Videos. CoRR abs/2106.06489 (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 H. 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 Low:
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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