Sod-mtgan: Small object detection via multi-task generative adversarial network Y Bai, Y Zhang, M Ding, B Ghanem Proceedings of the European conference on computer vision (ECCV), 206-221, 2018 | 451 | 2018 |
Finding tiny faces in the wild with generative adversarial network Y Bai, Y Zhang, M Ding, B Ghanem Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 231 | 2018 |
W2f: A weakly-supervised to fully-supervised framework for object detection Y Zhang, Y Bai, M Ding, Y Li, B Ghanem Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 141 | 2018 |
Multi-task generative adversarial network for detecting small objects in the wild Y Zhang, Y Bai, M Ding, B Ghanem International Journal of Computer Vision 128 (6), 1810-1828, 2020 | 40 | 2020 |
Weakly-supervised object detection via mining pseudo ground truth bounding-boxes Y Zhang, Y Bai, M Ding, Y Li, B Ghanem Pattern Recognition 84, 68-81, 2018 | 38 | 2018 |
Detecting small faces in the wild based on generative adversarial network and contextual information Y Zhang, M Ding, Y Bai, B Ghanem Pattern Recognition 94, 74-86, 2019 | 33 | 2019 |
Beyond weakly supervised: Pseudo ground truths mining for missing bounding-boxes object detection Y Zhang, M Ding, Y Bai, M Xu, B Ghanem IEEE Transactions on Circuits and Systems for Video Technology 30 (4), 983-997, 2019 | 27 | 2019 |
Incremental-detr: Incremental few-shot object detection via self-supervised learning N Dong, Y Zhang, M Ding, GH Lee AAAI2023, 2022 | 24 | 2022 |
KGSnet: key-point-guided super-resolution network for pedestrian detection in the wild Y Zhang, Y Bai, M Ding, S Xu, B Ghanem IEEE transactions on neural networks and learning systems 32 (5), 2251-2265, 2020 | 24 | 2020 |
Bridging non co-occurrence with unlabeled in-the-wild data for incremental object detection N Dong, Y Zhang, M Ding, GH Lee Advances in Neural Information Processing Systems 34, 30492-30503, 2021 | 22 | 2021 |
Bi-directional class-wise adversaries for unsupervised domain adaptation G Yang, M Ding, Y Zhang Applied Intelligence 52 (4), 3623-3639, 2022 | 15 | 2022 |
One-stage object detection knowledge distillation via adversarial learning N Dong, Y Zhang, M Ding, S Xu, Y Bai Applied Intelligence, 1-17, 2022 | 11 | 2022 |
Learning a strong detector for action localization in videos Y Zhang, M Ding, Y Bai, D Liu, B Ghanem Pattern Recognition Letters 128, 407-413, 2019 | 11 | 2019 |
Reading recognition of pointer meter based on pattern recognition and dynamic three-points on a line Y Zhang, M Ding, W Fu, Y Li Ninth International Conference on Machine Vision (ICMV 2016) 10341, 101-106, 2017 | 11 | 2017 |
Class-incremental object detection N Dong, Y Zhang, M Ding, Y Bai Pattern Recognition 139, 109488, 2023 | 8 | 2023 |
Open world detr: Transformer based open world object detection N Dong, Y Zhang, M Ding, GH Lee arXiv preprint arXiv:2212.02969, 2022 | 6 | 2022 |
ThumbDet: One thumbnail image is enough for object detection Y Zhang, Y Zhang, R Tian, Z Zhang, Y Bai, W Zuo, M Ding Pattern Recognition 138, 109424, 2023 | 3 | 2023 |
Uncertainty-aware graph-guided weakly supervised object detection Y Zhu, Y Zhang, M Ding, W Zuo IEEE Transactions on Circuits and Systems for Video Technology 33 (7), 3257-3269, 2022 | 3 | 2022 |
Design and implementation of a test platform for the preloaded assembly of harmonic reducer Y Zhang, S Peng, D Mingli, N Xue, L Yongqiang, L Xian 2015 12th IEEE International Conference on Electronic Measurement …, 2015 | 3 | 2015 |
A Single Image Enhancement Technique Using Dark Channel Prior C Wang, M Ding, Y Zhang, L Wang Applied Sciences 11 (6), 2712, 2021 | 2 | 2021 |