Saliency-enhanced image aesthetics class prediction. - Lai-Kuan Wong; Kok-Lim Low (ICIP, 2009)

Saliency retargeting: An approach to enhance image aesthetics. - Lai-Kuan Wong; Kok-Lim Low (WACV, 2011)

Enhancing visual dominance by semantics-preserving image recomposition. - Lai-Kuan Wong; Kok-Lim Low (ACM Multimedia, 2012)

Workshop I: International workshop on Learning Semantics for Multimedia Big Data (LSMBD). - Kai-Lung Hua; Wen-Huang Cheng; Lai-Kuan Wong; Chin-Kuan Ho (ACPR, 2015)

Stereoscopic image warping for enhancing composition aesthetics. - Md Baharul Islam; Lai-Kuan Wong; Chee-Onn Wong; Kok-Lim Low (ACPR, 2015)

Semantics-Preserving Warping for Stereoscopic Image Retargeting. - Chun-Hau Tan; Md Baharul Islam; Lai-Kuan Wong; Kok-Lim Low (PSIVT, 2015)

Aesthetic Evaluation of Facial Portraits Using Compositional Augmentation for Deep CNNs. - Magzhan Kairanbay; John See; Lai-Kuan Wong (ACCV Workshops (2), 2016)

Pressure-based touch positioning techniques for 3D objects. - Siyuan Qiu; Lu Wang 007; Lai-Kuan Wong (I3D, 2016)

Multigap: Multi-pooled inception network with text augmentation for aesthetic prediction of photographs. - Yong-Lian Hii; John See; Magzhan Kairanbay; Lai-Kuan Wong (ICIP, 2017)

Filling the gaps: Reducing the complexity of networks for multi-attribute image aesthetic prediction. - Magzhan Kairanbay; John See; Lai-Kuan Wong; Yong-Lian Hii (ICIP, 2017)

On vehicle state tracking for long-term carpark video surveillance. - Ryan Woei-Sheng Lim; Clarence Weihan Cheong; John See; Ian K. T. Tan; Lai-Kuan Wong; Huai-Qian Khor (ICSIPA, 2017)

Pic2Geom: A Fast Rendering Algorithm for Low-Poly Geometric Art. - Ruisheng Ng; Lai-Kuan Wong; John See (PCM (2), 2017)

A survey of aesthetics-driven image recomposition. - Md Baharul Islam; Lai-Kuan Wong; Chee-Onn Wong (Multim. Tools Appl., 2017)

Paying Attention to Style: Recognizing Photo Styles with Convolutional Attentional Units. - John See; Lai-Kuan Wong; Magzhan Kairanbay (ACCV Workshops, 2018)

Vehicle Semantics Extraction and Retrieval for Long-Term Carpark Video Surveillance. - Clarence Weihan Cheong; Ryan Woei-Sheng Lim; John See; Lai-Kuan Wong; Ian K. T. Tan; Azrin Aris (MMM (2), 2018)

Towards Demographic-Based Photographic Aesthetics Prediction for Portraitures. - Magzhan Kairanbay; John See; Lai-Kuan Wong (MMM (1), 2018)

The design and empirical evaluations of 3D positioning techniques for pressure-based touch control on mobile devices. - Lu Wang 007; Lai-Kuan Wong; Yajie Xu; Xiao Zhou; Siyuan Qiu; Xiangxu Meng; Chenglei Yang (Pers. Ubiquitous Comput., 2018)

Aesthetics-Driven Stereoscopic 3-D Image Recomposition With Depth Adaptation. - Md Baharul Islam; Lai-Kuan Wong; Kok-Lim Low; Chee-Onn Wong (IEEE Trans. Multim., 2018)

GANmera: Reproducing Aesthetically Pleasing Photographs Using Deep Adversarial Networks. - Nelson Chong; Lai-Kuan Wong; John See (CVPR Workshops, 2019)

NTIRE 2019 Challenge on Image Enhancement: Methods and Results. - Andrey Ignatov; Radu Timofte; Xiaochao Qu; Xingguang Zhou; Ting Liu; Pengfei Wan 001; Syed Waqas Zamir; Aditya Arora; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001; Dongwon Park; et al. (CVPR Workshops, 2019)

Efficient Semantic-Based Vehicle Retrieval in Long-term Car Park Videos. - Clarence Weihan Cheong; Ryan Woei-Sheng Lim; John See; Lai-Kuan Wong; Ian K. T. Tan (ICME Workshops, 2019)

LiteEmo: Lightweight Deep Neural Networks for Image Emotion Recognition. - Yan-Han Chew; Lai-Kuan Wong; John See; Huai-Qian Khor; Balasubramanian Abivishaq (MMSP, 2019)

Warping-Based Stereoscopic 3D Video Retargeting With Depth Remapping. - Md Baharul Islam; Lai-Kuan Wong; Kok-Lim Low; Chee-Onn Wong (WACV, 2019)

Beauty Is in the Eye of the Beholder: Demographically Oriented Analysis of Aesthetics in Photographs. - Magzhan Kairanbay; John See; Lai-Kuan Wong (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Learning Image Aesthetics by Learning Inpainting. - June Hao Ching; John See; Lai-Kuan Wong (ICIP, 2020)

Image Dehazing With Contextualized Attentive U-NET. - Yean-Wei Lee; Lai-Kuan Wong; John See (ICIP, 2020)

Where Is The Emotion? Dissecting A Multi-Gap Network For Image Emotion Classification. - Lucinda Lim; Huai-Qian Khor; Phatcharawat Chaemchoy; John See; Lai-Kuan Wong (ICIP, 2020)

ATQAM/MAST'20: Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends. - Tanaya Guha; Vlad Hosu; Dietmar Saupe; Bastian Goldlücke; Naveen Kumar 004; Weisi Lin; Victor R. Martinez; Krishna Somandepalli; Shrikanth Narayanan; Wen-Huang Cheng; Kree McLaughlin; Hartwig Adam; et al. (ACM Multimedia, 2020)

Shallow Optical Flow Three-Stream CNN For Macro- And Micro-Expression Spotting From Long Videos. - Gen-Bing Liong; John See; Lai-Kuan Wong (ICIP, 2021)

Generating Aesthetic Based Critique For Photographs. - Yong-Yaw Yeo; John See; Lai-Kuan Wong; Hui-Ngo Goh (ICIP, 2021)

Color Aesthetic Enhancement for Categorical Data Visualization. - Wei Chuan Lim; Chee-Onn Wong; Lai-Kuan Wong (IVIC, 2021)

Acquiring Input Features from Stock Market Summaries: A NLG Perspective. - Aristotle Tan; Hui-Ngo Goh; Lai-Kuan Wong (MIWAI, 2021)

Pic2PolyArt: Transforming a photograph into polygon-based geometric art. - Pau-Ek Low; Lai-Kuan Wong; John See; Ruisheng Ng (Signal Process. Image Commun., 2021)

Dress With Style: Learning Style From Joint Deep Embedding of Clothing Styles and Body Shapes. - Shintami Chusnul Hidayati; Ting Wei Goh; Ji-Sheng Gary Chan; Cheng-Chun Hsu; John See; Lai-Kuan Wong; Kai-Lung Hua; Yu Tsao 001; Wen-Huang Cheng (IEEE Trans. Multim., 2021)

A New Dataset and Transformer for Stereoscopic Video Super-Resolution. - Hassan Imani; Md Baharul Islam; Lai-Kuan Wong (CVPR Workshops, 2022)

HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model. - Masum Shah Junayed; Arezoo Sadeghzadeh; Md Baharul Islam; Lai-Kuan Wong; Tarkan Aydin (CVPR Workshops, 2022)

Social-SSL: Self-supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction. - Li-Wu Tsao; Yan-Kai Wang; Hao-Siang Lin; Hong-Han Shuai; Lai-Kuan Wong; Wen-Huang Cheng (ECCV (22), 2022)

DECOVID-CT: Lightweight 3D CNN for COVID-19 Infection Prediction. - Kannan Rithesh; Lai-Kuan Wong; John See; Wai-Yee Chan; Kwan Hong Ng (ICCE-TW, 2022)

A deep learning based framework for badminton rally outcome prediction. - Yong En Tan; John See; Junaidi Abdullah; Lai-Kuan Wong; Kar-Weng Ban (ISPACS, 2022)

Saliency-aware Stereoscopic Video Retargeting. - Hassan Imani; Md Baharul Islam; Lai-Kuan Wong (CVPR Workshops, 2023)

Context-Aware Multi-Stream Networks for Dimensional Emotion Prediction in Images. - Sidharrth Nagappan; Jia Qi Tan; Lai-Kuan Wong; John See (ICIP, 2023)

HER2-Sish Histopathology Image Classification Using Deep Neural Networks. - 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 (ICIP, 2023)

Efficient anisotropic scaling and translation invariants of Tchebichef moments using image normalization. - Chih-Yang Pee; Seng Huat Ong; P. Raveendran 001; Lai-Kuan Wong (Pattern Recognit. Lett., 2023)

LAU-Net: A low light image enhancer with attention and resizing mechanisms. - Choon Chen Lim; Yuen Peng Loh; Lai-Kuan Wong (Signal Process. Image Commun., 2023)

Improved Cassava Plant Disease Classification with Leaf Detection. - Ming Xuan Chai; Yao Deng Fam; Quinito Norman Octaviano; Chih-Yang Pee; Lai-Kuan Wong; Mas Ira Syafila Mohd Hilmi Tan; John See (APSIPA, 2024)

Enhancing Early Plant Disease Detection: 1D to 2D Spectral Transformations. - Mas Ira Syafila Mohd Hilmi Tan; Lai-Kuan Wong; Yuen Peng Loh; Chih-Yang Pee (APSIPA, 2024)

KBY-Net: A Dual Learning Framework for Improving Object Detection in Rainy Weather Conditions. - Zheng-Xian Keh; Lai-Kuan Wong; Yuen Peng Loh; Ke Gu 001; Weisi Lin (MMAsia, 2024)

Are You Paying Attention? Multimodal Linear Attention Transformers for Affect Prediction in Video Conversations. - Jia Qing Poh; John See; Neamat El Gayar; Lai-Kuan Wong (MRAC@MM, 2024)

Vision-Based PM2.5 Concentration Estimation With Natural Scene Statistical Analysis. - Guangcheng Wang; Quan Shi; Han Wang 018; Ke Gu 001; Mengting Wei; Lai-Kuan Wong; Mingxing Wang (IEEE Trans. Artif. Intell., 2024)

Lightweight Deep Learning for Resource-Constrained Environments: A Survey. - Hou-I Liu; Marco Galindo; Hongxia Xie; Lai-Kuan Wong; Hong-Han Shuai; Yung-Hui Li; Wen-Huang Cheng (ACM Comput. Surv., 2024)

M3-Net: A Multi-Scale Nuclei Segmentation Model for Breast Cancer Histopathology Using Contextual Patches and Attention Mechanism. - Arbab Sufyan; Mohammad Faizal Ahmad Fauzi; Lai-Kuan Wong (ISBI, 2025)

Mix-YOLONet: Deep Image Dehazing for Improving Object Detection. - Xin Lim; Lai-Kuan Wong; Yuen Peng Loh; Ke Gu 001; Weisi Lin (MMM (2), 2025)

DeepEarthMY: A Remote Sensing Dataset for Tropical Land-Cover Segmentation. - Shaaban Mohammed Najib; Chih-Yang Pee; Choo-Yee Ting; Lai-Kuan Wong (IEEE Access, 2025)

M3-Net++: A multi-scale, multi-level, multi-stream network for nuclei segmentation in breast cancer histopathology using hierarchical context extraction and hybrid loss optimization. - Arbab Sufyan Wadood; Mohammad Faizal Ahmad Fauzi; Lai-Kuan Wong; Jenny Tung Hiong Lee; See Yee Khor; Lai-Meng Looi (Comput. Biol. Medicine, 2025)

Model-Data Jointly Driven Method for Airborne Particulate Matter Monitoring. - Ke Gu 001; Yuchen Liu; Hongyan Liu 004; Bo Liu 024; Lai-Kuan Wong; Weisi Lin; Junfei Qiao 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)