フォロー
Yakun Ju
タイトル
引用先
引用先
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
532021
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
442022
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
392021
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
332021
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
312023
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
292022
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
282017
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
232022
A dual-cue network for multispectral photometric stereo
Y Ju, X Dong, Y Wang, L Qi, J Dong
Pattern Recognition 100, 107162, 2020
232020
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
212023
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
202020
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
182020
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
172018
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
16*2024
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
132022
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
92023
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
92023
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, 2024
62024
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
62023
Improving robustness of single image super-resolution models with monte carlo method
C Yang, J Xiao, YK Ju, G Qiu, KM Lam
2023 IEEE International Conference on Image Processing (ICIP), 2135-2139, 2023
62023
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