| Ternary weight networks B Liu, F Li, X Wang, B Zhang, J Yan ICASSP 2023 (arXiv:1605.04711), 2016 | 1381 | 2016 |
| R3Det: Refined single-stage detector with feature refinement for rotating object X Yang, J Yan, Z Feng, T He AAAI 2021, 2021 | 1061 | 2021 |
| 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 | 1043 | 2019 |
| Transformers in time series: A survey Q Wen, T Zhou, C Zhang, W Chen, Z Ma, J Yan, L Sun IJCAI 2023 Survey Track, 2023 | 960 | 2023 |
| Image matching from handcrafted to deep features: A survey J Ma, X Jiang, A Fan, J Jiang, J Yan IJCV 2021, 2021 | 886 | 2021 |
| Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting Y Zhang, J Yan ICLR 2023 (oral), 2023 | 670 | 2023 |
| Arbitrary-oriented object detection with circular smooth label X Yang, J Yan ECCV 2020, 2020 | 589 | 2020 |
| Rethinking rotated object detection with gaussian wasserstein distance loss X Yang, J Yan, Q Ming, W Wang, X Zhang, Q Tian ICML 2021, 2021 | 488 | 2021 |
| Generalizing Face Forgery Detection with High-frequency Features Y Luo, Y Zhang, J Yan, W Liu CVPR 2021, 2021 | 431 | 2021 |
| 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 | 417 | 2021 |
| Learning modulated loss for rotated object detection W Qian, X Yang, S Peng, Y Guo, J Yan AAAI 2021, 2021 | 390 | 2021 |
| Unsupervised deep learning for optical flow estimation Z Ren, J Yan, B Ni, B Liu, X Yang, H Zha AAAI 2017, 2017 | 379 | 2017 |
| Modeling the intensity function of point process via recurrent neural networks S Xiao, J Yan, X Yang, H Zha, S Chu AAAI 2017, 2017 | 344 | 2017 |
| Deep spectral clustering using dual autoencoder network X Yang, C Deng, F Zheng, J Yan, W Liu CVPR 2019, 2019 | 342 | 2019 |
| Dense Label Encoding for Boundary Discontinuity Free Rotation Detection X Yang, L Hou, Y Zhou, W Wang, J Yan CVPR 2021, 2021 | 334 | 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 | 300 | 2023 |
| 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 | 288 | 2022 |
| Learning combinatorial embedding networks for deep graph matching R Wang, J Yan, X Yang ICCV 2019 oral, 2019 | 284 | 2019 |
| Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks X Pan, P Rijnbeek, J Yan, HB Shen BMC genomics 2018, 2018 | 259 | 2018 |
| From Canonical Correlation Analysis to Self-supervised Graph Neural Networks H Zhang, Q Wu, J Yan, D Wipf, PS Yu NeurIPS 2021, 2021 | 253 | 2021 |
Xiaokang YangFIEEE, Shanghai Jiao Tong UniversityZweryfikowany adres z sjtu.edu.cn
