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 | 178 | 2021 |
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 | 61 | 2021 |
Transductive zero-shot learning for 3d point cloud classification A Cheraghian, S Rahman, D Campbell, L Petersson Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 57 | 2020 |
Zero-shot learning of 3d point cloud objects A Cheraghian, S Rahman, L Petersson 2019 16th International Conference on Machine Vision Applications (MVA), 1-6, 2019 | 55 | 2019 |
Zero-shot learning on 3d point cloud objects and beyond A Cheraghian, S Rahman, TF Chowdhury, D Campbell, L Petersson International Journal of Computer Vision 130 (10), 2364-2384, 2022 | 48 | 2022 |
3dcapsule: Extending the capsule architecture to classify 3d point clouds A Cheraghian, L Petersson 2019 IEEE winter conference on applications of computer vision (WACV), 1194-1202, 2019 | 48 | 2019 |
Mitigating the hubness problem for zero-shot learning of 3d objects A Cheraghian, S Rahman, D Campbell, L Petersson arXiv preprint arXiv:1907.06371, 2019 | 43 | 2019 |
Surface geodesic pattern for 3D deformable texture matching F Hajati, A Cheraghian, S Gheisari, Y Gao, AS Mian Pattern Recognition 62, 21-32, 2017 | 14 | 2017 |
An efficient multimodal face recognition method robust to pose variation A Cheraghian, K Faez, H Dastmalchi, FB Oskuie 2011 IEEE Symposium on Computers & Informatics, 431-435, 2011 | 10 | 2011 |
Few-shot class-incremental learning for 3d point cloud objects T Chowdhury, A Cheraghian, S Ramasinghe, S Ahmadi, M Saberi, ... European Conference on Computer Vision, 204-220, 2022 | 9 | 2022 |
Learning without forgetting for 3d point cloud objects T Chowdhury, M Jalisha, A Cheraghian, S Rahman Advances in Computational Intelligence: 16th International Work-Conference …, 2021 | 4 | 2021 |
Continual test-time domain adaptation via dynamic sample selection Y Wang, J Hong, A Cheraghian, S Rahman, D Ahmedt-Aristizabal, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 2 | 2024 |
Prompt-guided scene generation for 3d zero-shot learning M Nasiri, A Cheraghian, TF Chowdhury, S Ahmadi, M Saberi, S Rahman 2022 International Conference on Digital Image Computing: Techniques and …, 2022 | 2 | 2022 |
2.5 D Face Recognition Using Gabor Discrete Cosine Transform A Cheraghian, F Hajati, S Gheisari, Y Gao International Journal of Computer and Information Engineering 10 (2), 308-311, 2016 | 2 | 2016 |
3D face recognition using topographic high-order derivatives A Cheraghian, F Hajati, AS Mian, Y Gao, S Gheisari 2013 IEEE International Conference on Image Processing, 3705-3709, 2013 | 1 | 2013 |
Backpropagation-free Network for 3D Test-time Adaptation Y Wang, A Cheraghian, Z Hayder, J Hong, S Ramasinghe, S Rahman, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
ChatGPT-guided Semantics for Zero-shot Learning FH Shubho, TF Chowdhury, A Cheraghian, M Saberi, N Mohammed, ... 2023 International Conference on Digital Image Computing: Techniques and …, 2023 | | 2023 |
LumiNet: The Bright Side of Perceptual Knowledge Distillation MI Hossain, MM Elahi, S Ramasinghe, A Cheraghian, F Rahman, ... arXiv preprint arXiv:2310.03669, 2023 | | 2023 |
Exploring 3D Data and Beyond in a Low Data Regime A Cheraghian PQDT-Global, 2022 | | 2022 |
Transductive zero-shot learning for 3D point cloud classification S Rahman, D Campbell, L Petersson, A Cheraghian IEEE, 2020 | | 2020 |