| LSTM-based traffic flow prediction with missing data Y Tian, K Zhang, J Li, X Lin, B Yang Neurocomputing 318, 297-305, 2018 | 516 | 2018 |
| Traffic flow prediction using LSTM with feature enhancement B Yang, S Sun, J Li, X Lin, Y Tian Neurocomputing 332, 320-327, 2019 | 397 | 2019 |
| Lane marking detection via deep convolutional neural network Y Tian, J Gelernter, X Wang, W Chen, J Gao, Y Zhang, X Li Neurocomputing 280, 46-55, 2018 | 124 | 2018 |
| Traffic sign detection using a multi-scale recurrent attention network Y Tian, J Gelernter, X Wang, J Li, Y Yu IEEE transactions on intelligent transportation systems 20 (12), 4466-4475, 2019 | 87 | 2019 |
| Latent gaussian mixture regression for human pose estimation Y Tian, L Sigal, H Badino, F De la Torre, Y Liu Asian Conference on Computer Vision, 679-690, 2010 | 51 | 2010 |
| Densely connected attentional pyramid residual network for human pose estimation Y Tian, W Hu, H Jiang, J Wu Neurocomputing 347, 13-23, 2019 | 39 | 2019 |
| Triple attention network for video segmentation Y Tian, Y Zhang, D Zhou, G Cheng, WG Chen, R Wang Neurocomputing 417, 202-211, 2020 | 35 | 2020 |
| Joint temporal context exploitation and active learning for video segmentation Y Tian, G Cheng, J Gelernter, S Yu, C Song, B Yang Pattern Recognition 100, 107158, 2020 | 34 | 2020 |
| An attention based dual learning approach for video captioning W Ji, R Wang, Y Tian, X Wang Applied Soft Computing 117, 108332, 2022 | 28 | 2022 |
| Robust head pose estimation via convex regularized sparse regression H Ji, R Liu, F Su, Z Su, Y Tian 2011 18th IEEE International Conference on Image Processing, 3617-3620, 2011 | 27 | 2011 |
| 3D tooth instance segmentation learning objectness and affinity in point cloud Y Tian, Y Zhang, WG Chen, D Liu, H Wang, H Xu, J Han, Y Ge ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 26 | 2022 |
| Multi-scale hierarchical residual network for dense captioning Y Tian, X Wang, J Wu, R Wang, B Yang Journal of Artificial Intelligence Research 64, 181-196, 2019 | 21 | 2019 |
| Heterogeneous data fusion and loss function design for tooth point cloud segmentation D Liu, Y Tian, Y Zhang, J Gelernter, X Wang Neural Computing and Applications 34 (20), 17371-17380, 2022 | 17 | 2022 |
| Handling occlusion in prohibited item detection from X-ray images D Liu, Y Tian, Z Xu, G Jian Neural Computing and Applications 34 (22), 20285-20298, 2022 | 16 | 2022 |
| CASR: a context-aware residual network for single-image super-resolution Y Wu, X Ji, W Ji, Y Tian, H Zhou Neural Computing and Applications 32, 14533-14548, 2020 | 15 | 2020 |
| Canonical locality preserving latent variable model for discriminative pose inference Y Tian, L Sigal, F De la Torre, Y Jia Image and Vision Computing 31 (3), 223-230, 2013 | 13 | 2013 |
| Transformer-based few-shot object detection in traffic scenarios E Sun, D Zhou, Y Tian, Z Xu, X Wang Applied Intelligence 54 (1), 947-958, 2024 | 8 | 2024 |
| Detect occluded items in X-ray baggage inspection B Wang, Y Tian, J Wang, J Hu, D Liu, Z Xu Computers & Graphics 115, 148-157, 2023 | 7 | 2023 |
| A tooth surface design method combining semantic guidance, confidence, and structural coherence P Wang, Y Tian, N Liu, J Wang, S Chai, X Wang, R Wang IET Computer Vision 16 (8), 727-735, 2022 | 6 | 2022 |
| Self-supervised saliency estimation for pixel embedding in road detection D Zhou, Y Tian, WG Chen, G Huang IEEE Signal Processing Letters 28, 1325-1329, 2021 | 6 | 2021 |
