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 | 528 | 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 | 248 | 2018 |
Robust tracking via weakly supervised ranking SVM Y Bai, M Tang 2012 IEEE conference on computer vision and pattern recognition, 1854-1861, 2012 | 151 | 2012 |
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 | 147 | 2018 |
Missing Labels in Object Detection. M Xu, Y Bai, B Ghanem, B Liu, Y Gao, N Guo, X Ye, F Wan, H You, D Fan CVPR workshops 3 (5), 2019 | 59 | 2019 |
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 | 44 | 2020 |
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 | 37 | 2019 |
Object tracking via robust multitask sparse representation Y Bai, M Tang IEEE Signal Processing Letters 21 (8), 909-913, 2014 | 33 | 2014 |
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 | 30 | 2020 |
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 |
Contextual multi-scale region convolutional 3d network for activity detection Y Bai, H Xu, K Saenko, B Ghanem arXiv preprint arXiv:1801.09184, 2018 | 21 | 2018 |
Multi-scale fully convolutional network for face detection in the wild Y Bai, B Ghanem Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 17 | 2017 |
Class-incremental object detection N Dong, Y Zhang, M Ding, Y Bai Pattern Recognition 139, 109488, 2023 | 15 | 2023 |
One-stage object detection knowledge distillation via adversarial learning N Dong, Y Zhang, M Ding, S Xu, Y Bai Applied Intelligence, 1-17, 2022 | 15 | 2022 |
Multi-branch fully convolutional network for face detection Y Bai, B Ghanem arXiv preprint arXiv:1707.06330, 2017 | 12 | 2017 |
Multi-scale fully convolutional network for fast face detection. Y Bai, W Ma, Y Li, L Cao, W Guo, L Yang BMVC, 2016 | 12 | 2016 |
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 |
Robust visual tracking via ranking SVM Y Bai, M Tang 2011 18th IEEE International Conference on Image Processing, 517-520, 2011 | 11 | 2011 |
Semantic Part RCNN for Real-World Pedestrian Detection. M Xu, Y Bai, SS Qu, B Ghanem CVPR Workshops, 2019 | 10 | 2019 |
Robust visual tracking via augmented kernel SVM Y Bai, M Tang Image and Vision Computing 32 (8), 465-475, 2014 | 9 | 2014 |