| Adversarially approximated autoencoder for image generation and manipulation W Xu, S Keshmiri, G Wang IEEE Transactions on Multimedia 21 (9), 2387-2396, 2019 | 88 | 2019 |
| A smart high accuracy silicon piezoresistive pressure sensor temperature compensation system G Zhou, Y Zhao, F Guo, W Xu Sensors 14 (7), 12174-12190, 2014 | 85 | 2014 |
| Drb-gan: A dynamic resblock generative adversarial network for artistic style transfer W Xu, C Long, R Wang, G Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 71 | 2021 |
| Dual graph convolutional networks with transformer and curriculum learning for image captioning X Dong, C Long, W Xu, C Xiao Proceedings of the 29th ACM International Conference on Multimedia, 2615-2624, 2021 | 65* | 2021 |
| Toward learning a unified many-to-many mapping for diverse image translation W Xu, K Shawn, G Wang Pattern Recognition 93, 570-580, 2019 | 53 | 2019 |
| Design of a large displacement thermal actuator with a cascaded V-beam amplification for MEMS safety-and-arming devices X Li, Y Zhao, T Hu, W Xu, Y Zhao, Y Bai, W Ren Microsystem Technologies 21, 2367-2374, 2015 | 45 | 2015 |
| Monte Carlo denoising via auxiliary feature guided self-attention. J Yu, Y Nie, C Long, W Xu, Q Zhang, G Li ACM Trans. Graph. 40 (6), 273:1-273:13, 2021 | 30 | 2021 |
| Towards learning affine-invariant representations via data-efficient cnns W Xu, G Wang, A Sullivan, Z Zhang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 24 | 2020 |
| Adaptively denoising proposal collection for weakly supervised object localization W Xu, Y Wu, W Ma, G Wang Neural Processing Letters 51, 993-1006, 2020 | 17 | 2020 |
| Fx-gan: Self-supervised gan learning via feature exchange R Huang, W Xu, TY Lee, A Cherian, Y Wang, T Marks Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 14 | 2020 |
| Stacked wasserstein autoencoder W Xu, S Keshmiri, G Wang Neurocomputing 363, 195-204, 2019 | 14 | 2019 |
| A domain gap aware generative adversarial network for multi-domain image translation W Xu, G Wang IEEE Transactions on Image Processing 31, 72-84, 2021 | 13 | 2021 |
| Direct visual-inertial odometry with semi-dense mapping W Xu, D Choi, G Wang Computers & Electrical Engineering 67, 761-775, 2018 | 13 | 2018 |
| Feature representation learning with adaptive displacement generation and transformer fusion for micro-expression recognition Z Zhai, J Zhao, C Long, W Xu, S He, H Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Learning dynamic style kernels for artistic style transfer W Xu, C Long, Y Nie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Direct visual-inertial odometry and mapping for unmanned vehicle W Xu, D Choi Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las …, 2016 | 6 | 2016 |
| Dual-flattening transformers through decomposed row and column queries for semantic segmentation Y Wang, C Ho, W Xu, Z Xuan, X Liu, GJ Qi arXiv preprint arXiv:2201.09139, 2022 | 5 | 2022 |
| Improving vision transformers on small datasets by increasing input information density in frequency domain X Chen, Y Qin, W Xu, AM Bur, C Zhong, G Wang IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) 2, 2022 | 4 | 2022 |
| Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets X Chen, Y Qin, W Xu, AM Bur, C Zhong, G Wang arXiv preprint arXiv:2210.14319, 2022 | 2 | 2022 |
| Time-delay momentum: A regularization perspective on the convergence and generalization of stochastic momentum for deep learning Z Zhang, W Xu, A Sullivan arXiv preprint arXiv:1903.00760, 2019 | 1 | 2019 |
