| Visdrone-det2018: The vision meets drone object detection in image challenge results P Zhu, L Wen, D Du, X Bian, H Ling, Q Hu, Q Nie, H Cheng, C Liu, X Liu, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 151 | 2018 |
| VisDrone-VDT2018: The vision meets drone video detection and tracking challenge results P Zhu, L Wen, D Du, X Bian, H Ling, Q Hu, H Wu, Q Nie, H Cheng, C Liu, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 74 | 2018 |
| Visdrone-sot2018: The vision meets drone single-object tracking challenge results L Wen, P Zhu, D Du, X Bian, H Ling, Q Hu, C Liu, H Cheng, X Liu, W Ma, ... Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 52 | 2018 |
| ShadowFormer: global context helps shadow removal L Guo, S Huang, D Liu, H Cheng, B Wen Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 710-718, 2023 | 26* | 2023 |
| Towards Generalized and Efficient Metric Learning on Riemannian Manifold. P Zhu, H Cheng, Q Hu, Q Wang, C Zhang IJCAI, 3235-3241, 2018 | 26 | 2018 |
| Variational disentanglement for domain generalization Y Wang, H Li, H Cheng, B Wen, LP Chau, AC Kot arXiv preprint arXiv:2109.05826, 2021 | 19 | 2021 |
| Attentive graph neural networks for few-shot learning H Cheng, JT Zhou, WP Tay, B Wen 2022 IEEE 5th International Conference on Multimedia Information Processing …, 2022 | 14 | 2022 |
| Disentangled feature representation for few-shot image classification H Cheng, Y Wang, H Li, AC Kot, B Wen IEEE Transactions on Neural Networks and Learning Systems, 2023 | 13 | 2023 |
| Frequency guidance matters in few-shot learning H Cheng, S Yang, JT Zhou, L Guo, B Wen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Graph neural networks with triple attention for few-shot learning H Cheng, JT Zhou, WP Tay, B Wen IEEE Transactions on Multimedia, 2023 | 8 | 2023 |
| Site selection via learning graph convolutional neural networks: A case study of Singapore T Lan, H Cheng, Y Wang, B Wen Remote Sensing 14 (15), 3579, 2022 | 6 | 2022 |
| Joint statistical and spatial sparse representation for robust image and image-set classification H Cheng, B Wen 2020 IEEE International Conference on Image Processing (ICIP), 2411-2415, 2020 | 5 | 2020 |
| Reconciliation of statistical and spatial sparsity for robust visual classification H Cheng, KH Yap, B Wen Neurocomputing 529, 140-151, 2023 | 3* | 2023 |
| Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI C Wang, L Guo, Y Wang, H Cheng, Y Yu, B Wen arXiv preprint arXiv:2403.10064, 2024 | | 2024 |
| Image classification with limited data information H Cheng Nanyang Technological University, 2023 | | 2023 |
| Joint Dimensionality Reduction for Separable Embedding Estimation Y Li, B Wen, H Cheng, Y Bresler arXiv preprint arXiv:2101.05500, 2021 | | 2021 |
| Joint Metric Learning on Riemannian Manifold of Global Gaussian Distributions Q Nie, B Zhou, P Zhu, Q Hu, H Cheng Artificial Neural Networks and Machine Learning–ICANN 2019: Deep Learning …, 2019 | | 2019 |
| Support Vector Metric Learning on Symmetric Positive Definite Manifold H Cheng, P Zhu, Q Wang, C Zhang, Q Hu 2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018 | | 2018 |
| Supplementary Materials for Frequency Guidance Matters in Few-Shot Learning H Cheng, S Yang, JT Zhou, L Guo, B Wen | | |
