| The 1st tiny object detection challenge: Methods and results X Yu, Z Han, Y Gong, N Jan, J Zhao, Q Ye, J Chen, Y Feng, B Zhang, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 34 | 2020 |
| MsCGAN: Multi-scale conditional generative adversarial networks for person image generation W Tang, G Li, X Bao, F Nian, T Li 2020 Chinese Control And Decision Conference (CCDC), 1440-1445, 2020 | 15 | 2020 |
| Exploring effective methods to improve the performance of tiny object detection C Gao, W Tang, L Jin, Y Jun Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 7 | 2020 |
| Multi-instance partial-label learning: Towards exploiting dual inexact supervision W Tang, W Zhang, ML Zhang Science China Information Sciences 67 (3), 1-14, 2024 | 4 | 2024 |
| An autoencoder with a memory module for video anomaly detection W Tang, Y Feng, J Li 2021 36th Youth Academic Annual Conference of Chinese Association of …, 2021 | 3 | 2021 |
| Disambiguated attention embedding for multi-instance partial-label learning W Tang, W Zhang, ML Zhang 37th Conference on Neural Information Processing Systems (NeurIPS 2023 …, 2023 | 2 | 2023 |
| A latent feature autoencoder via adversarial training for unsupervised anomaly detection W Tang, J Li 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | | 2021 |
Min-Ling ZhangProfessor, School of Computer Science and Engineering, Southeast University, China在 seu.edu.cn 的电子邮件经过验证
