| Semantic-aware knowledge distillation for few-shot class-incremental learning A Cheraghian, S Rahman, P Fang, SK Roy, L Petersson, M Harandi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 220 | 2021 |
| Bilinear attention networks for person retrieval P Fang, J Zhou, SK Roy, L Petersson, M Harandi Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 183 | 2019 |
| Synthesized feature based few-shot class-incremental learning on a mixture of subspaces A Cheraghian, S Rahman, S Ramasinghe, P Fang, C Simon, L Petersson, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 75 | 2021 |
| Reinforced attention for few-shot learning and beyond J Hong, P Fang, W Li, T Zhang, C Simon, M Harandi, L Petersson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 54 | 2021 |
| Adaptive Poincaré Point to Set Distance for Few-Shot Classification R Ma, P Fang*, T Drummond, M Harandi Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1926-1934, 2022 | 52 | 2022 |
| Kernel methods in hyperbolic spaces P Fang, M Harandi, L Petersson Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 48 | 2021 |
| Blind image decomposition J Han, W Li, P Fang, C Sun, J Hong, MA Armin, L Petersson, H Li European Conference on Computer Vision, 218-237, 2022 | 37 | 2022 |
| Attention in attention networks for person retrieval P Fang, J Zhou, SK Roy, P Ji, L Petersson, M Harandi IEEE transactions on pattern analysis and machine intelligence 44 (9), 4626-4641, 2021 | 37 | 2021 |
| Recovering 6D object pose from RGB indoor image based on two-stage detection network with multi-task loss F Liu, P Fang, Z Yao, R Fan, Z Pan, W Sheng, H Yang Neurocomputing 337, 15-23, 2019 | 34 | 2019 |
| You only cut once: Boosting data augmentation with a single cut J Han, P Fang, W Li, J Hong, MA Armin, I Reid, L Petersson, H Li International Conference on Machine Learning, 8196-8212, 2022 | 33 | 2022 |
| Improving scene text image super-resolution via dual prior modulation network S Zhu, Z Zhao, P Fang, H Xue Proceedings of the AAAI Conference on Artificial Intelligence 37 (3), 3843-3851, 2023 | 26 | 2023 |
| Cross-correlated attention networks for person re-identification J Zhou, SK Roy, P Fang, M Harandi, L Petersson Image and Vision Computing 100, 103931, 2020 | 24 | 2020 |
| Goss: Towards generalized open-set semantic segmentation J Hong, W Li, J Han, J Zheng, P Fang, M Harandi, L Petersson The Visual Computer 40 (4), 2391-2404, 2024 | 16 | 2024 |
| Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning R Ma, P Fang*, G Avraham, Y Zuo, T Zhu, T Drummond, M Harandi Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 15 | 2022 |
| A block image encryption algorithm based on a hyperchaotic system and generative adversarial networks P Fang, H Liu, C Wu, M Liu Multimedia Tools and Applications 81 (15), 21811-21857, 2022 | 15 | 2022 |
| Hyperbolic Audio-visual Zero-shot Learning J Hong, Z Hayder, J Han, P Fang*, M Harandi, L Petersson arXiv preprint arXiv:2308.12558, 2023 | 14 | 2023 |
| Set augmented triplet loss for video person re-identification P Fang, P Ji, L Petersson, M Harandi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 12 | 2021 |
| TSGB: Target-selective gradient backprop for probing CNN visual saliency L Cheng, P Fang, Y Liang, L Zhang, C Shen, H Wang IEEE Transactions on Image Processing 31, 2529-2540, 2022 | 11 | 2022 |
| Deep Graph Convolutional Network for Small-Molecule Retention Time Prediction Q Kang*, P Fang*, S Zhang, H Qiu, Z Lan Journal of Chromatography A, 464439, 2023 | 10 | 2023 |
| Brain-conditional multimodal synthesis: A survey and taxonomy W Mai, J Zhang, P Fang, Z Zhang IEEE Transactions on Artificial Intelligence, 2024 | 8 | 2024 |
Mehrtash HarandiDepartment of Electrical and Computer Systems Engineering, Monash UniversityVerified email at monash.edu
