| Computer-aided classification of lung nodules on computed tomography images via deep learning technique KL Hua, CH Hsu, SC Hidayati, WH Cheng, YJ Chen OncoTargets and therapy, 2015-2022, 2015 | 694 | 2015 |
| Fashion Meets Computer Vision: A Survey WH Cheng, S Song, CY Chen, SC Hidayati, J Liu ACM Computing Surveys (CSUR) 54 (4), 1-41, 2021 | 208 | 2021 |
| What Dress Fits Me Best?: Fashion Recommendation on the Clothing Style for Personal Body Shape SC Hidayati, CC Hsu, YT Chang, KL Hua, J Fu, WH Cheng 2018 ACM International Conference on Multimedia, 438-446, 2018 | 101 | 2018 |
| A comparative study of data fusion for RGB-D based visual recognition J Sanchez-Riera, KL Hua, YS Hsiao, T Lim, SC Hidayati, WH Cheng Pattern Recognition Letters 73, 1-6, 2016 | 74 | 2016 |
| What are the fashion trends in New York? SC Hidayati, KL Hua, WH Cheng, SW Sun Proceedings of the 22nd ACM international conference on multimedia, 197-200, 2014 | 72 | 2014 |
| Learning and recognition of clothing genres from full-body images SC Hidayati, CW You, WH Cheng, KL Hua IEEE transactions on cybernetics 48 (5), 1647-1659, 2017 | 70 | 2017 |
| Dress with Style: Learning Style from Joint Deep Embedding of Clothing Styles and Body Shapes SC Hidayati, TW Goh, JSG Chan, CC Hsu, J See, WL Kuan, KL Hua, ... IEEE Transactions on Multimedia 23, 365-377, 2021 | 54 | 2021 |
| Popularity Meter: An Influence- and Aesthetics-aware Social Media Popularity Predictor SC Hidayati, YL Chen, CL Yang, KL Hua The 25th ACM International Conference on Multimedia, 1918-1923, 2017 | 35 | 2017 |
| Clothing Genre Classification by Exploiting the Style Elements SC Hidayati National Taiwan University of Science and Technology, 2012 | 31 | 2012 |
| Locality constrained sparse representation for cat recognition YC Chen, SC Hidayati, WH Cheng, MC Hu, KL Hua MultiMedia Modeling: 22nd International Conference, MMM 2016, Miami, FL, USA …, 2016 | 27 | 2016 |
| Pendampingan pengurusan ijin edar dan sertifikasi halal produk usaha mikro dan kecil AS Ahmadiyah, R Sarno, RNE Anggraini, NF Ariyani, A Munif, ... Sewagati 6 (3), 389-396, 2022 | 20 | 2022 |
| Garment detectives: Discovering clothes and its genre in consumer photos SC Hidayati, KL Hua, Y Tsao, HH Shuai, J Liu, WH Cheng 2019 IEEE Conference on Multimedia Information Processing and Retrieval …, 2019 | 20 | 2019 |
| Context-aware joint dictionary learning for color image demosaicking KL Hua, SC Hidayati, FL He, CP Wei, YCF Wang Journal of visual communication and image representation 38, 230-245, 2016 | 19 | 2016 |
| Photo sundial: estimating the time of capture in consumer photos TH Tsai, WC Jhou, WH Cheng, MC Hu, IC Shen, T Lim, KL Hua, ... Neurocomputing 177, 529-542, 2016 | 19 | 2016 |
| Optimization of the electronic nose sensor array for asthma detection based on genetic algorithm D Aulia, R Sarno, SC Hidayati, M Rivai IEEE Access, 2023 | 18 | 2023 |
| Exploiting category-specific information for image popularity prediction in social media E Massip, SC Hidayati, WH Cheng, KL Hua 2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 45-46, 2018 | 17 | 2018 |
| Body shape calculator: Understanding the type of body shapes from anthropometric measurements SC Hidayati, Y Anistyasari Proceedings of the 2021 International Conference on Multimedia Retrieval …, 2021 | 15 | 2021 |
| Performance study of facial expression recognition using convolutional neural network MF Aza, N Suciati, SC Hidayati 2020 6th International Conference on Science in Information Technology …, 2020 | 13 | 2020 |
| Who’s the best charades player? mining iconic movement of semantic concepts YH Hsieh, SC Hidayati, WH Cheng, MC Hu, KL Hua MultiMedia Modeling: 20th Anniversary International Conference, MMM 2014 …, 2014 | 13 | 2014 |
| 3d model retrieval based on deep autoencoder neural networks ZM Liu, YY Chen, S Hidayati, SC Chien, FC Chang, KL Hua 2017 International Conference on Signals and Systems (ICSigSys), 290-296, 2017 | 11 | 2017 |
Dr. Kai-Lung Hua 花凱龍CTO at Microsoft Taiwan | Professor at National Taiwan University of Science and TechnologyΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα mail.ntust.edu.tw
