| Vehicle type classification using a semisupervised convolutional neural network Z Dong, Y Wu, M Pei, Y Jia IEEE transactions on intelligent transportation systems 16 (4), 2247-2256, 2015 | 571 | 2015 |
| Group-sensitive triplet embedding for vehicle reidentification Y Bai, Y Lou, F Gao, S Wang, Y Wu, LY Duan IEEE Transactions on Multimedia 20 (9), 2385-2399, 2018 | 312 | 2018 |
| DCMN+: Dual co-matching network for multi-choice reading comprehension S Zhang, H Zhao, Y Wu, Z Zhang, X Zhou, X Zhou Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9563-9570, 2020 | 161 | 2020 |
| Scene-aware context reasoning for unsupervised abnormal event detection in videos C Sun, Y Jia, Y Hu, Y Wu Proceedings of the 28th ACM international conference on multimedia, 184-192, 2020 | 133 | 2020 |
| Overcoming language priors in vqa via decomposed linguistic representations C Jing, Y Wu, X Zhang, Y Jia, Q Wu Proceedings of the AAAI conference on artificial intelligence 34 (07), 11181 …, 2020 | 123 | 2020 |
| A hyperbolic-to-hyperbolic graph convolutional network J Dai, Y Wu, Z Gao, Y Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 119 | 2021 |
| Adaptive diffusion flow active contours for image segmentation Y Wu, Y Wang, Y Jia Computer Vision and Image Understanding 117 (10), 1421-1435, 2013 | 103 | 2013 |
| Curvature generation in curved spaces for few-shot learning Z Gao, Y Wu, Y Jia, M Harandi Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 93 | 2021 |
| Segmentation of the left ventricle in cardiac cine MRI using a shape-constrained snake model Y Wu, Y Wang, Y Jia Computer Vision and Image Understanding 117 (9), 990-1003, 2013 | 89 | 2013 |
| Quantification of full left ventricular metrics via deep regression learning with contour-guidance W Wang, Y Wang, Y Wu, T Lin, S Li, B Chen IEEE Access 7, 47918-47928, 2019 | 83 | 2019 |
| A hybrid data association framework for robust online multi-object tracking M Yang, Y Wu, Y Jia IEEE Transactions on Image Processing 26 (12), 5667-5679, 2017 | 81 | 2017 |
| Deep stereo matching with explicit cost aggregation sub-architecture L Yu, Y Wang, Y Wu, Y Jia Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 80 | 2018 |
| Campus3d: A photogrammetry point cloud benchmark for hierarchical understanding of outdoor scene X Li, C Li, Z Tong, A Lim, J Yuan, Y Wu, J Tang, R Huang Proceedings of the 28th ACM International Conference on Multimedia, 238-246, 2020 | 78 | 2020 |
| A decomposition model for stereo matching C Yao, Y Jia, H Di, P Li, Y Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 77 | 2021 |
| Deep convolutional network with locality and sparsity constraints for texture classification X Bu, Y Wu, Z Gao, Y Jia Pattern Recognition 91, 34-46, 2019 | 72 | 2019 |
| SG-Net: Syntax guided transformer for language representation Z Zhang, Y Wu, J Zhou, S Duan, H Zhao, R Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (6), 3285-3299, 2020 | 65 | 2020 |
| Deep manifold learning of symmetric positive definite matrices with application to face recognition Z Dong, S Jia, C Zhang, M Pei, Y Wu Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 61 | 2017 |
| Metric learning based structural appearance model for robust visual tracking Y Wu, B Ma, M Yang, J Zhang, Y Jia IEEE Transactions on Circuits and Systems for Video Technology 24 (5), 865-877, 2013 | 60 | 2013 |
| Adversarial 3d convolutional auto-encoder for abnormal event detection in videos C Sun, Y Jia, H Song, Y Wu IEEE Transactions on Multimedia 23, 3292-3305, 2020 | 51 | 2020 |
| Revisiting bilinear pooling: A coding perspective Z Gao, Y Wu, X Zhang, J Dai, Y Jia, M Harandi Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3954-3961, 2020 | 50 | 2020 |
