A geometric understanding of deep learning N Lei, D An, Y Guo, K Su, S Liu, Z Luo, ST Yau, X Gu Engineering 6 (3), 361-374, 2020 | 168* | 2020 |
Fast and high quality highlight removal from a single image J Suo, D An, X Ji, H Wang, Q Dai IEEE Transactions on Image Processing 25 (11), 5441-5454, 2016 | 84 | 2016 |
AE-OT: A new generative model based on extended semi-discrete optimal transport D An, Y Guo, N Lei, Z Luo, ST Yau, X Gu ICLR 2020, 2019 | 48 | 2019 |
Mode collapse and regularity of optimal transportation maps Y Guo, D An, X Qi, Z Luo, ST Yau, X Gu arXiv preprint arXiv:1902.02934, 2019 | 34 | 2019 |
AE-OT-GAN: Training GANs from data specific latent distribution D An, Y Guo, M Zhang, X Qi, N Lei, X Gu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 27 | 2020 |
Illumination estimation from specular highlight in a multi-spectral image D An, J Suo, H Wang, Q Dai Optics Express 23 (13), 17008-17023, 2015 | 17 | 2015 |
Learning deep latent variable models by short-run mcmc inference with optimal transport correction D An, J Xie, P Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 11 | 2021 |
Efficient optimal transport algorithm by accelerated gradient descent D An, N Lei, X Xu, X Gu Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 10119 …, 2022 | 9 | 2022 |
Wordgesture-GAN: modeling word-gesture movement with generative adversarial network J Chu, D An, Y Ma, W Cui, S Zhai, XD Gu, X Bi Proceedings of the 2023 CHI conference on human factors in computing systems …, 2023 | 7 | 2023 |
End-to-end evidential-efficient net for radiomics analysis of brain MRI to predict oncogene expression and overall survival Y Feng, J Wang, D An, X Gu, X Xu, M Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 2 | 2022 |
A Moving Mesh Adaption Method By Optimal Transport D An, N Lei, T Zhao, H Si, X Gu Proceedings of International Meshing Roundtable, 2021 | 2 | 2021 |
Cortical Morphometry Analysis based on Worst Transportation Theory M Zhang, D An, N Lei, J Wu, T Zhao, X Xu, Y Wang, X Gu Information Processing in Medical Imaging: 27th International Conference …, 2021 | 2 | 2021 |
Efficient Approximation of Optimal Transportation Map by Pogorelov Map D An, N Lei, W Chen, Z Luo, T Zhao, H Si, X Gu Proceedings of International Meshing Roundtable, 2021 | 1 | 2021 |
A geometric variational framework for computing optimal transportation maps, I D An, N Lei, L Cui, K Su, X Xu, F Luo, X Gu, ST Yau Mathematics, Computation and Geometry of Data 1 (2), 2021 | 1 | 2021 |
A quasi-conformal mapping-based data augmentation technique for brain tumor segmentation M Zhang, D An, GS Young, X Gu, X Xu Medical Imaging 2020: Image Processing 11313, 688-694, 2020 | 1 | 2020 |
Backdoor Attack with Mode Mixture Latent Modification H Zhang, X Xu, D An, X Gu, M Zhang arXiv preprint arXiv:2403.07463, 2024 | | 2024 |
Learning for transductive threshold calibration in open-world recognition Q Zhang, D An, T Xiao, T He, Q Tang, YN Wu, J Tighe, Y Xing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Learning for Open-World Calibration with Graph Neural Networks. Q Zhang, D An, T Xiao, T He, Q Tang, YN Wu, J Tighe, Y Xing CoRR, 2023 | | 2023 |
Volumetric Optimal Transportation by Fast Fourier Transform N Lei, D An, M Zhang, X Xu, D Gu The Eleventh International Conference on Learning Representations, 2023 | | 2023 |
Learning deep latent variable models by short-run mcmc inference with optimal transport correction XIE Jianwen, AN Dongsheng, P Li US Patent App. 17/343,477, 2022 | | 2022 |