Semi-supervised object detection with adaptive class-rebalancing self-training F Zhang, T Pan, B Wang Proceedings of the AAAI conference on artificial intelligence 36 (3), 3252-3261, 2022 | 44 | 2022 |
P2MAT-NET: Learning medial axis transform from sparse point clouds B Yang, J Yao, B Wang, J Hu, Y Pan, T Pan, W Wang, X Guo Computer Aided Geometric Design 80, 101874, 2020 | 16 | 2020 |
Fully convolutional neural networks with full-scale-features for semantic segmentation T Pan, B Wang, G Ding, JH Yong Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 16 | 2017 |
Low Shot Box Correction for Weakly Supervised Object Detection. T Pan, B Wang, G Ding, J Han, JH Yong IJCAI 1 (7), 8, 2019 | 15 | 2019 |
CropNet: Real-time thumbnailing H Chen, B Wang, T Pan, L Zhou, H Zeng Proceedings of the 26th ACM international conference on Multimedia, 81-89, 2018 | 10 | 2018 |
No-Reference Nonuniform Distorted Video Quality Assessment Based on Deep Multiple Instance Learning L Qian, T Pan, Y Zheng, J Zhang, M Li, B Yu, B Wang IEEE MultiMedia 28 (1), 28-37, 2020 | 3 | 2020 |
Shadow Detection Using Robust Texture Learning. T Pan, B Wang, G Ding, JH Yong BMVC, 114, 2018 | 1 | 2018 |
W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation F Zhang, T Pan, JH Yong, B Wang Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7042-7050, 2024 | | 2024 |
Low-confidence samples mining for semi-supervised object detection G Liu, F Zhang, T Pan, B Wang arXiv preprint arXiv:2306.16201, 2023 | | 2023 |