| Recovering surface normal and arbitrary images: A dual regression network for photometric stereo Y Ju, J Dong, S Chen IEEE Transactions on Image Processing 30, 3676-3690, 2021 | 52 | 2021 |
| Normattention-psn: A high-frequency region enhanced photometric stereo network with normalized attention Y Ju, B Shi, M Jian, L Qi, J Dong, KM Lam International Journal of Computer Vision 130 (12), 3014-3034, 2022 | 48 | 2022 |
| Efficient inductive vision transformer for oriented object detection in remote sensing imagery C Zhang, J Su, Y Ju, KM Lam, Q Wang IEEE Transactions on Geoscience and Remote Sensing, 2023 | 39 | 2023 |
| Pay attention to devils: A photometric stereo network for better details Y Ju, KM Lam, Y Chen, L Qi, J Dong proceedings of the twenty-ninth international conference on international …, 2021 | 38 | 2021 |
| Incorporating lambertian priors into surface normals measurement Y Ju, M Jian, S Guo, Y Wang, H Zhou, J Dong IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 33 | 2021 |
| Refractive laser triangulation and photometric stereo in underwater environment H Fan, L Qi, Y Ju, J Dong, H Yu Optical Engineering 56 (11), 113101-113101, 2017 | 28 | 2017 |
| Estimating high-resolution surface normals via low-resolution photometric stereo images Y Ju, M Jian, C Wang, C Zhang, J Dong, KM Lam IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 27 | 2023 |
| Learning conditional photometric stereo with high-resolution features Y Ju, Y Peng, M Jian, F Gao, J Dong Computational Visual Media 8, 105-118, 2022 | 27 | 2022 |
| A deep-shallow and global–local multi-feature fusion network for photometric stereo Y Liu, Y Ju, M Jian, F Gao, Y Rao, Y Hu, J Dong Image and Vision Computing 118, 104368, 2022 | 24 | 2022 |
| A dual-cue network for multispectral photometric stereo Y Ju, X Dong, Y Wang, L Qi, J Dong Pattern Recognition 100, 107162, 2020 | 24 | 2020 |
| Deep Learning Methods for Calibrated Photometric Stereo and Beyond Y Ju, KM Lam, W Xie, H Zhou, J Dong, B Shi IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 22* | 2024 |
| MPS-Net: Learning to recover surface normal for multispectral photometric stereo Y Ju, L Qi, J He, X Dong, F Gao, J Dong Neurocomputing 375, 62-70, 2020 | 20 | 2020 |
| Demultiplexing colored images for multispectral photometric stereo via deep neural networks Y Ju, L Qi, H Zhou, J Dong, L Lu IEEE Access 6, 30804-30818, 2018 | 17 | 2018 |
| Learning photometric stereo via manifold-based mapping Y Ju, M Jian, J Dong, KM Lam 2020 IEEE International Conference on Visual Communications and Image …, 2020 | 16 | 2020 |
| 3d hand pose estimation from monocular rgb with feature interaction module S Guo, E Rigall, Y Ju, J Dong IEEE Transactions on Circuits and Systems for Video Technology 32 (8), 5293-5306, 2022 | 14 | 2022 |
| Promptrestorer: A prompting image restoration method with degradation perception C Wang, J Pan, W Wang, J Dong, M Wang, Y Ju, J Chen Advances in Neural Information Processing Systems 36, 8898-8912, 2023 | 12 | 2023 |
| GR-PSN: Learning to estimate surface normal and reconstruct photometric stereo images Y Ju, B Shi, Y Chen, H Zhou, J Dong, KM Lam IEEE Transactions on Visualization and Computer Graphics, 2023 | 11 | 2023 |
| Efficient feature fusion for learning-based photometric stereo Y Ju, KM Lam, J Xiao, C Zhang, C Yang, J Dong ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 11 | 2023 |
| pmbqa: Projection-based blind point cloud quality assessment via multimodal learning W Xie, K Wang, Y Ju, M Wang Proceedings of the 31st ACM International Conference on Multimedia, 3250-3258, 2023 | 8 | 2023 |
| Learning deep photometric stereo network with reflectance priors Y Ju, C Zhang, S Huang, Y Rao, KM Lam 2023 IEEE International Conference on Multimedia and Expo (ICME), 2027-2032, 2023 | 8 | 2023 |
Junyu DongOcean University of ChinaVerified email at ouc.edu.cn
