| Learning to estimate the body shape under clothing from a single 3-D scan P Hu, NN Kaashki, V Dadarlat, A Munteanu IEEE Transactions on Industrial Informatics 17 (6), 3793-3802, 2020 | 39 | 2020 |
| 3DBodyNet: fast reconstruction of 3D animatable human body shape from a single commodity depth camera P Hu, ESL Ho, A Munteanu IEEE Transactions on Multimedia 24, 2139-2149, 2021 | 36 | 2021 |
| Personalized 3D mannequin reconstruction based on 3D scanning PP Hu, D Li, G Wu, T Komura, D Zhang, Y Zhong International Journal of Clothing Science and Technology 30 (2), 159-174, 2018 | 32 | 2018 |
| A pose-based feature fusion and classification framework for the early prediction of cerebral palsy in infants KD McCay, P Hu, HPH Shum, WL Woo, C Marcroft, ND Embleton, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 8-19, 2021 | 25 | 2021 |
| Automatic three-dimensional-scanned garment fitting based on virtual tailoring and geometric sewing L Duan, Z Yueqi, W Ge, H Pengpeng Journal of Engineered Fibers and Fabrics 14, 1558925018825319, 2019 | 21 | 2019 |
| Automatic foot scanning and measurement based on multiple RGB-depth cameras G Wu, D Li, P Hu, Y Zhong, N Pan Textile Research Journal 88 (2), 167-181, 2018 | 20 | 2018 |
| Deep learning-based automated extraction of anthropometric measurements from a single 3-D scan NN Kaashki, P Hu, A Munteanu IEEE Transactions on Instrumentation and Measurement 70, 1-14, 2021 | 19 | 2021 |
| Anet: A deep neural network for automatic 3d anthropometric measurement extraction NN Kaashki, P Hu, A Munteanu IEEE Transactions on Multimedia 25, 831-844, 2021 | 18 | 2021 |
| A new method to evaluate the dynamic air gap thickness and garment sliding of virtual clothes during walking P Hu, ESL Ho, N Aslam, T Komura, HPH Shum Textile research journal 89 (19-20), 4148-4161, 2019 | 17 | 2019 |
| Automatic body measurement based on slicing loops Y Zhong, D Li, G Wu, PP Hu International Journal of Clothing Science and Technology 30 (3), 380-397, 2018 | 17 | 2018 |
| A generic method of wearable items virtual try-on P Hu, N Nourbakhsh, J Tian, S Sturges, V Dadarlat, A Munteanu Textile Research Journal 90 (19-20), 2161-2174, 2020 | 14 | 2020 |
| Scanning and animating characters dressed in multiple-layer garments P Hu, T Komura, D Holden, Y Zhong The Visual Computer 33, 961-969, 2017 | 11 | 2017 |
| Multi‐modal deep network for RGB‐D segmentation of clothes B Joukovsky, P Hu, A Munteanu Electronics Letters 56 (9), 432-435, 2020 | 8 | 2020 |
| Method for registration of 3D shapes without overlap for known 3D priors P Hu, A Munteanu Electronics Letters 57 (9), 357-359, 2021 | 7 | 2021 |
| Foot shape prediction using elliptical Fourier analysis G Wu, D Li, P Hu, Y Zhong, N Pan Textile Research Journal 88 (9), 1026-1037, 2018 | 7 | 2018 |
| MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets R Royen, L Denis, Q Bolsee, P Hu, A Munteanu Neural Networks 137, 43-53, 2021 | 6 | 2021 |
| A study on improving the calibration of body scanner built on multiple RGB-Depth cameras G Wu, D Li, Y Zhong, PP Hu International Journal of Clothing Science and Technology 29 (3), 314-329, 2017 | 6 | 2017 |
| Methods of estimating a bare body shape from a concealed scan of the body HU Pengpeng, A Munteanu, N Nastaran, S Sturges US Patent 11,922,593, 2024 | 5 | 2024 |
| Predicting high-fidelity human body models from impaired point clouds P Hu, R Zhao, X Dai, A Munteanu Signal Processing 192, 108375, 2022 | 5 | 2022 |
| AlignBodyNet: Deep learning-based alignment of non-overlapping partial body point clouds from a single depth camera P Hu, ESL Ho, A Munteanu IEEE Transactions on Instrumentation and Measurement 72, 1-9, 2022 | 4 | 2022 |
Adrian MunteanuProfessor, ETRO department, Vrije Universiteit BrusselVerified email at etrovub.be
