Adaptive trajectory prediction via transferable gnn Y Xu, L Wang, Y Wang, Y Fu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
61 2022 Tra2tra: Trajectory-to-trajectory prediction with a global social spatial-temporal attentive neural network Y Xu, D Ren, M Li, Y Chen, M Fan, H Xia
IEEE Robotics and Automation Letters 6 (2), 1574-1581, 2021
29 2021 CF-LSTM: Cascaded feature-based long short-term networks for predicting pedestrian trajectory Y Xu, J Yang, S Du
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12541 …, 2020
27 2020 Uncovering the missing pattern: Unified framework towards trajectory imputation and prediction Y Xu, A Bazarjani, H Chi, C Choi, Y Fu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
13 2023 Making reconstruction-based method great again for video anomaly detection Y Wang, C Qin, Y Bai, Y Xu, X Ma, Y Fu
2022 IEEE International Conference on Data Mining (ICDM), 1215-1220, 2022
13 2022 A method for wafer defect detection using spatial feature points guided affine iterative closest point algorithm J Yang, Y Xu, HJ Rong, S Du, H Zhang
IEEE Access 8, 79056-79068, 2020
13 2020 Adapting stepsizes by momentumized gradients improves optimization and generalization Y Wang, Y Kang, C Qin, H Wang, Y Xu, Y Zhang, Y Fu
12 * 2021 Simultaneous past and current social interaction-aware trajectory prediction for multiple intelligent agents in dynamic scenes Y Zhu, D Ren, Y Xu, D Qian, M Fan, X Li, H Xia
ACM Transactions on Intelligent Systems and Technology (TIST) 13 (1), 1-16, 2021
11 2021 Sparse recursive least mean p-power extreme learning machine for regression J Yang, Y Xu, HJ Rong, S Du, B Chen
IEEE Access 6, 16022-16034, 2018
8 2018 Look more but care less in video recognition Y Zhang, Y Bai, H Wang, Y Xu, Y Fu
Advances in Neural Information Processing Systems 35, 30813-30825, 2022
7 2022 Self-supervision meets adversarial perturbation: A novel framework for anomaly detection Y Wang, C Qin, R Wei, Y Xu, Y Bai, Y Fu
Proceedings of the 31st ACM International Conference on Information …, 2022
6 2022 SLA P: Self-supervised Anomaly Detection with Adversarial Perturbation Y Wang, C Qin, R Wei, Y Xu, Y Bai, Y Fu
arXiv preprint arXiv:2111.12896, 2021
6 2021 MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning Y Xu, L Wang, Y Wang, C Qin, Y Zhang, Y Fu
Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022
5 2022 Adamsformer for spatial action localization in the future H Chi, K Lee, N Agarwal, Y Xu, K Ramani, C Choi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
3 2023 Robust trajectory prediction of multiple interacting pedestrians via incremental active learning Y Xi, D Ren, M Li, Y Chen, M Fan, H Xia
Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021
3 2021 Layout Sequence Prediction From Noisy Mobile Modality H Zhang, Y Xu, H Lu, T Shimizu, Y Fu
Proceedings of the 31st ACM International Conference on Multimedia, 3965-3974, 2023
1 2023 A Feature-Cascaded Correntropy LSTM for Tourists Prediction Y Chen, J Yang, K Zhang, Y Xu, Y Liu
IEEE Access 9, 32810-32822, 2021
1 2021 OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising H Zhang, Y Xu, H Lu, T Shimizu, Y Fu
arXiv preprint arXiv:2404.02227, 2024
2024 Adapting to Length Shift: FlexiLength Network for Trajectory Prediction Y Xu, Y Fu
arXiv preprint arXiv:2404.00742, 2024
2024 Latent Graph Inference with Limited Supervision J Lu, Y Xu, H Wang, Y Bai, Y Fu
Advances in Neural Information Processing Systems 36, 2024
2024