Ali cheraghian
Ali cheraghian
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Cited by
Cited by
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
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
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
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
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
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
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
Surface geodesic pattern for 3D deformable texture matching
F Hajati, A Cheraghian, S Gheisari, Y Gao, AS Mian
Pattern Recognition 62, 21-32, 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
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
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
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
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
2.5 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
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
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
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
LumiNet: The Bright Side of Perceptual Knowledge Distillation
MI Hossain, MM Elahi, S Ramasinghe, A Cheraghian, F Rahman, ...
arXiv preprint arXiv:2310.03669, 2023
Exploring 3D Data and Beyond in a Low Data Regime
A Cheraghian
PQDT-Global, 2022
Transductive zero-shot learning for 3D point cloud classification
S Rahman, D Campbell, L Petersson, A Cheraghian
IEEE, 2020
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