| Scale-transferrable object detection P Zhou, B Ni, C Geng, J Hu, Y Xu proceedings of the IEEE conference on computer vision and pattern …, 2018 | 419 | 2018 |
| Omni-gan: On the secrets of cgans and beyond P Zhou, L Xie, B Ni, C Geng, Q Tian Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 16 | 2021 |
| Bounds all around: training energy-based models with bidirectional bounds C Geng, J Wang, Z Gao, J Frellsen, S Hauberg Advances in Neural Information Processing Systems 34, 19808-19821, 2021 | 13 | 2021 |
| Uniform interpolation constrained geodesic learning on data manifold C Geng, J Wang, L Chen, W Bao, C Chu, Z Gao arXiv preprint arXiv:2002.04829, 2020 | 8 | 2020 |
| Stochman NS Detlefsen, A Pouplin, CW Feldager, C Geng, D Kalatzis, H Hauschultz, ... GitHub. Note: https://github. com/MachineLearningLifeScience/stochman 3, 4, 2021 | 5 | 2021 |
| Adversarial text image super-resolution using sinkhorn distance C Geng, L Chen, X Zhang, Z Gao ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 5 | 2020 |
| A Wavelet-based Learning for Face Hallucination with Loop Architecture C Geng, L Chen, X Zhang, P Zhou, Z Gao 2018 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2018 | 2 | 2018 |
| Geodesic Learning With Uniform Interpolation on Data Manifold C Geng, J Wang, L Chen, Z Gao IEEE Access 10, 98662-98669, 2022 | 1 | 2022 |
| Generative Model without Prior Distribution Matching C Geng, J Wang, L Chen, Z Gao arXiv preprint arXiv:2009.11016, 2020 | 1 | 2020 |
| Improving Adversarial Energy-Based Model via Diffusion Process C Geng, T Han, PT Jiang, H Zhang, J Chen, S Hauberg, B Li arXiv preprint arXiv:2403.01666, 2024 | | 2024 |
| Solving the reconstruction-generation trade-off: Generative model with implicit embedding learning C Geng, J Wang, L Chen, Z Gao Neurocomputing 549, 126428, 2023 | | 2023 |
| Wasserstein-Bounded Generative Adversarial Networks P Zhou, B Ni, L Xie, X Zhang, H Wang, C Geng, Q Tian | | 2019 |
