| Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting Y Zhang, J Yan ICLR 2023 (oral), 2023 | 3127 | 2023 |
| Transformers in time series: A survey Q Wen, T Zhou, C Zhang, W Chen, Z Ma, J Yan, L Sun IJCAI 2023 Survey Track (arXiv:2202.07125, PaperDigest Most Influential …, 2023 | 2682 | 2023 |
| R3Det: Refined single-stage detector with feature refinement for rotating object X Yang, J Yan, Z Feng, T He AAAI 2021 (PaperDigest Most Influential AAAI'21 Paper No.1), 2021 | 1789 | 2021 |
| Ternary weight networks B Liu, F Li, X Wang, B Zhang, J Yan ICASSP 2023 (arXiv:1605.04711), 2016 | 1581 | 2016 |
| SCRDet: Towards more robust detection for small, cluttered and rotated objects X Yang, J Yang, J Yan, Y Zhang, T Zhang, Z Guo, X Sun, K Fu ICCV 2019, 2019 | 1409 | 2019 |
| Image matching from handcrafted to deep features: A survey J Ma, X Jiang, A Fan, J Jiang, J Yan IJCV 2021, 2021 | 1276 | 2021 |
| Generalizing Face Forgery Detection with High-frequency Features Y Luo, Y Zhang, J Yan, W Liu CVPR 2021, 2021 | 940 | 2021 |
| Rethinking rotated object detection with gaussian wasserstein distance loss X Yang, J Yan, Q Ming, W Wang, X Zhang, Q Tian ICML 2021, 2021 | 902 | 2021 |
| Arbitrary-oriented object detection with circular smooth label X Yang, J Yan ECCV 2020, 2020 | 873 | 2020 |
| Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence X Yang, X Yang, J Yang, Q Ming, W Wang, Q Tian, J Yan NeurIPS 2021, 2021 | 749 | 2021 |
| ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning S Hu, L Chen, P Wu, H Li, J Yan, D Tao ECCV 2022 (arxiv 2207.07601), 2022 | 689 | 2022 |
| NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Q Wu, W Zhao, Z Li, D Wipf, J Yan NeurIPS 2022 (spotlight), 2022 | 636 | 2022 |
| mmRotate: A rotated object detection benchmark using pytorch Y Zhou, X Yang, G Zhang, J Wang, Y Liu, L Hou, X Jiang, X Liu, J Yan, ... ACM Multimedia 2022 (arxiv 2204.13317), 2022 | 575 | 2022 |
| Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline P Wu, X Jia, L Chen, J Yan, H Li, Y Qiao NeurIPS 2022, 2022 | 540 | 2022 |
| Learning modulated loss for rotated object detection W Qian, X Yang, S Peng, Y Guo, J Yan AAAI 2021, 2021 | 533 | 2021 |
| Learning time series associated event sequences with recurrent point process networks S Xiao, J Yan, M Farajtabar, L Song, X Yang, H Zha IEEE TNNLS 2019 (arXiv:1703.08524), 2019 | 528* | 2019 |
| Dense Label Encoding for Boundary Discontinuity Free Rotation Detection X Yang, L Hou, Y Zhou, W Wang, J Yan CVPR 2021, 2021 | 467 | 2021 |
| SCRDet++: Detecting small, cluttered and rotated objects via instance-level feature denoising and rotation loss smoothing X Yang, J Yan, W Liao, X Yang, J Tang, T He IEEE TPAMI 2023 (arxiv 2004.13316) 45 (2), 2384-2399, 2023 | 459 | 2023 |
| The kfiou loss for rotated object detection X Yang, Y Zhou, G Zhang, J Yang, W Wang, J Yan, X Zhang, Q Tian ICLR 2023 (arxiv 2201.12558), 2023 | 455 | 2023 |
| Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving X Jia, Z Yang, Q Li, Z Zhang, J Yan NeurIPS 2024 (arXiv:2406.03877), 2024 | 449 | 2024 |
Xiaokang YangFIEEE, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
