Image synthesis from reconfigurable layout and style W Sun, T Wu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 148 | 2019 |
Learning layout and style reconfigurable gans for controllable image synthesis W Sun, T Wu IEEE transactions on pattern analysis and machine intelligence 44 (9), 5070-5087, 2021 | 79 | 2021 |
Attentive normalization X Li, W Sun, T Wu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 42 | 2020 |
3d virtual garment modeling from rgb images Y Xu, S Yang, W Sun, L Tan, K Li, H Zhou 2019 IEEE international symposium on mixed and augmented reality (ISMAR), 37-45, 2019 | 28 | 2019 |
Interpretable r-cnn T Wu, X Li, X Song, W Sun, L Dong, B Li arXiv preprint arXiv:1711.05226 2, 2017 | 27 | 2017 |
Ranking-based autoencoder for extreme multi-label classification B Wang, L Chen, W Sun, K Qin, K Li, H Zhou Proceedings of NAACL-HLT, 2820--2830, 2019 | 20 | 2019 |
Towards interpretable R-CNN by unfolding latent structures T Wu, W Sun, X Li, X Song, B Li arXiv preprint arXiv:1711.05226, 2017 | 17 | 2017 |
Pose guided fashion image synthesis using deep generative model W Sun, JH Bappy, S Yang, Y Xu, T Wu, H Zhou KDD 2019 Workshop on Fashion and KDD, 2019 | 16 | 2019 |
Learning spatial pyramid attentive pooling in image synthesis and image-to-image translation W Sun, T Wu arXiv preprint arXiv:1901.06322, 2019 | 14 | 2019 |
Deep consensus learning W Sun, T Wu arXiv preprint arXiv:2103.08475, 2021 | 4 | 2021 |
Virtual Garment Using Joint Landmark Prediction and Part Segmentation Y Xu, S Yang, W Sun, L Tan, K Li, H Zhou 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 1247-1248, 2019 | 2 | 2019 |
Learning Spatial Attentive and Reconfigurable Generative Adversarial Networks for Image Synthesis W Sun North Carolina State University, 2021 | | 2021 |