Xin Miao (苗欣)
Xin Miao (苗欣)
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l-net: Reconstruct hyperspectral images from a snapshot measurement
X Miao, X Yuan, Y Pu, V Athitsos
Proceedings of the IEEE/CVF International Conference on Computer Vision…, 2019
Direct shape regression networks for end-to-end face alignment
X Miao, X Zhen, X Liu, C Deng, V Athitsos, H Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern…, 2018
Attentional Alignment Networks.
L Yue, X Miao, P Wang, B Zhang, X Zhen, X Cao
BMVC 2 (6), 7, 2018
Asynchronous doubly stochastic sparse kernel learning
B Gu, M Xin, Z Huo, H Huang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Fast vehicle identification in surveillance via ranked semantic sampling based embedding
F Zheng, X Miao, H Huang
27th International Joint Conference on Artificial Intelligence (IJCAI 2018), 2018
Deep learning for compressive spectral imaging
X Miao, X Yuan, P Wilford
Digital Holography and Three-Dimensional Imaging, M3B. 3, 2019
lambda-net: Reconstruct hyperspectral images from a snapshot measurement. In 2019 IEEE
X Miao, X Yuan, Y Pu, V Athitsos
CVF International Conference on Computer Vision (ICCV), 4058-4068, 0
Out-of-distribution detection with an adaptive likelihood ratio on informative hierarchical vae
Y Li, C Wang, X Xia, T Liu, B An
Advances in Neural Information Processing Systems 35, 7383-7396, 2022
Fine-grained control of artistic styles in image generation
X Miao, H Wang, J Fu, J Liu, S Wang, Z Liao
arXiv preprint arXiv:2110.10278, 2021
ImageSubject: A Large-scale Dataset for Subject Detection
X Miao, J Liu, H Wang, J Fu
arXiv preprint arXiv:2201.03101, 2022
Efficient Network Design for High Dimensional Data
X Miao
The University of Texas at Arlington, 2020
Supplementary Material for “-net: Reconstruct Hyperspectral Images from a Snapshot Measurement”
X Miao, X Yuan, Y Pu, V Athitsos
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