Ali Cheraghian

According to our database, Ali Cheraghian authored at least 25 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

3D scene generation for zero-shot learning using ChatGPT guided language prompts.

Sahar Ahmadi, Ali Cheraghian, Townim Faisal Chowdhury, Morteza Saberi, Shafin Rahman

Comput. Vis. Image Underst., 2024

Task Progressive Curriculum Learning for Robust Visual Question Answering.

Ahmed Akl, Abdelwahed Khamis, Zhe Wang, Ali Cheraghian, Sara Khalifa, Kewen Wang

CoRR, 2024

Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models.

Hamidreza Dastmalchi, Aijun An, Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe

CoRR, 2024

Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor.

Sahar Ahmadi, Ali Cheraghian, Morteza Saberi, Md. Towsif Abir, Hamidreza Dastmalchi, Farookh Hussain, Shafin Rahman

CoRR, 2024

3D Point Cloud Network Pruning: When Some Weights Do not Matter.

Amrijit Biswas, Md. Ismail Hossain, Mirza M. Lutfe Elahi, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, Shafin Rahman

CoRR, 2024

Continual Test-time Domain Adaptation via Dynamic Sample Selection.

Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning.

Ali Cheraghian, Zeeshan Hayder, Sameera Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi

Proceedings of the Computer Vision - ECCV 2024, 2024

Backpropagation-free Network for 3D Test-time Adaptation.

Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-Free Adaptor.

Sahar Ahmadi, Ali Cheraghian, Morteza Saberi, Md. Towsif Abir, Hamidreza Dastmalchi, Farookh Khadeer Hussain, Shafin Rahman

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

LumiNet: The Bright Side of Perceptual Knowledge Distillation.

Md. Ismail Hossain, Mirza M. Lutfe Elahi, Sameera Ramasinghe, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, Shafin Rahman

CoRR, 2023

ChatGPT-guided Semantics for Zero-shot Learning.

Fahimul Hoque Shubho, Townim Faisal Chowdhury, Ali Cheraghian, Morteza Saberi, Nabeel Mohammed, Shafin Rahman

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Zero-Shot Learning on 3D Point Cloud Objects and Beyond.

Ali Cheraghian, Shafin Rahman, Townim F. Chowdhury, Dylan Campbell, Lars Petersson

Int. J. Comput. Vis., 2022

Prompt-guided Scene Generation for 3D Zero-Shot Learning.

Majid Nasiri, Ali Cheraghian, Townim Faisal Chowdhury, Sahar Ahmadi, Morteza Saberi, Shafin Rahman

CoRR, 2022

Few-Shot Class-Incremental Learning for 3D Point Cloud Objects.

Townim F. Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, Shafin Rahman

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Learning Without Forgetting for 3D Point Cloud Objects.

Townim F. Chowdhury, Mahira Jalisha, Ali Cheraghian, Shafin Rahman

Proceedings of the Advances in Computational Intelligence, 2021

Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces.

Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe, Pengfei Fang, Christian Simon, Lars Petersson, Mehrtash Harandi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning.

Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Transductive Zero-Shot Learning for 3D Point Cloud Classification.

Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds.

Ali Cheraghian, Lars Petersson

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Zero-shot Learning of 3D Point Cloud Objects.

Ali Cheraghian, Shafin Rahman, Lars Petersson

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects.

Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Polar Topographic Derivatives for 3D Face Recognition: Application to Internet of Things Security.

Farshid Hajati, Ali Cheraghian, Omid Ameri Sianaki, Behnam Zeinali, Soheila Gheisari

Proceedings of the Web, Artificial Intelligence and Network Applications, 2019

2017

Surface geodesic pattern for 3D deformable texture matching.

Farshid Hajati, Ali Cheraghian, Soheila Gheisari, Yongsheng Gao, Ajmal S. Mian

Pattern Recognit., 2017

2013

3D face recognition using topographic high-order derivatives.

Ali Cheraghian, Farshid Hajati, Ajmal S. Mian, Yongsheng Gao, Soheila Gheisari

Proceedings of the IEEE International Conference on Image Processing, 2013

2011

Gait Identification Using a Novel Gait Representation: Radon Transform of Mean Gait Energy Image.

Farhad Bagher Oskuie, Karim Faez, Ali Cheraghian, Hamidreza Dastmalchi

Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011