Learning from 2d: Contrastive pixel-to-point knowledge transfer for 3d pretraining YC Liu, YK Huang, HY Chiang, HT Su, ZY Liu, CT Chen, CY Tseng, ... arXiv preprint arXiv:2104.04687, 2021 | 75 | 2021 |
A unified point-based framework for 3d segmentation HY Chiang, YL Lin, YC Liu, WH Hsu 2019 International Conference on 3D Vision (3DV), 155-163, 2019 | 73 | 2019 |
Cross-domain image-based 3D shape retrieval by view sequence learning T Lee, YL Lin, HY Chiang, MW Chiu, W Hsu, P Huang 2018 international conference on 3D vision (3DV), 258-266, 2018 | 37 | 2018 |
SHREC’17: RGB-D to CAD retrieval with ObjectNN dataset BS Hua, QT Truong, MK Tran, QH Pham, A Kanezaki, T Lee, HY Chiang, ... Proc. Eurograph. Workshop 3D Object Retrieval, 25-32, 2017 | 19 | 2017 |
FOX-NAS: fast, on-device and explainable neural architecture search CH Liu, YS Han, YY Sung, Y Lee, HY Chiang, KC Wu Proceedings of the IEEE/CVF International Conference on Computer Vision, 789-797, 2021 | 13 | 2021 |
Netizen-style commenting on fashion photos: Dataset and diversity measures WH Lin, KT Chen, HY Chiang, W Hsu Companion Proceedings of the The Web Conference 2018, 395-402, 2018 | 12 | 2018 |
MobileTL: on-device transfer learning with inverted residual blocks HY Chiang, N Frumkin, F Liang, D Marculescu Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7166-7174, 2023 | 7 | 2023 |
Efficient low-rank backpropagation for vision transformer adaptation Y Yang, HY Chiang, G Li, D Marculescu, R Marculescu Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
Metadata-Augmented Neural Networks for Cross-Location Solar Irradiation Prediction from Satellite Images KY Lee, HF Huang, HY Chiang, HC Lee, WH Hsu, WC Chen | | 2019 |
RGB-D to CAD retrieval with ObjectNN dataset: SHREC'17 BS Hua, QT Truong, MK Tran, QH Pham, A Kanezaki, T Lee, HY Chiang, ... Proceedings of the Workshop on 3D Object Retrieval, 25-32, 2017 | | 2017 |
SCAN-Edge: Finding MobileNet-speed Hybrid Networks for Commodity Edge Devices HY Chiang, D Marculescu 5th Workshop on practical ML for limited/low resource settings, 0 | | |