Gait Identification Using a Novel Gait Representation: Radon Transform of Mean Gait Energy Image. - Farhad Bagher Oskuie; Karim Faez; Ali Cheraghian; Hamidreza Dastmalchi (IbPRIA, 2011)

3D face recognition using topographic high-order derivatives. - Ali Cheraghian; Farshid Hajati; Ajmal S. Mian; Yongsheng Gao 001; Soheila Gheisari (ICIP, 2013)

Surface geodesic pattern for 3D deformable texture matching. - Farshid Hajati; Ali Cheraghian; Soheila Gheisari; Yongsheng Gao 001; Ajmal S. Mian (Pattern Recognit., 2017)

Polar Topographic Derivatives for 3D Face Recognition: Application to Internet of Things Security. - Farshid Hajati; Ali Cheraghian; Omid Ameri Sianaki; Behnam Zeinali; Soheila Gheisari (AINA Workshops, 2019)

Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects. - Ali Cheraghian; Shafin Rahman; Dylan Campbell; Lars Petersson (BMVC, 2019)

Zero-shot Learning of 3D Point Cloud Objects. - Ali Cheraghian; Shafin Rahman; Lars Petersson (MVA, 2019)

3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds. - Ali Cheraghian; Lars Petersson (WACV, 2019)

Transductive Zero-Shot Learning for 3D Point Cloud Classification. - Ali Cheraghian; Shafin Rahman; Dylan Campbell; Lars Petersson (WACV, 2020)

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. - Ali Cheraghian; Shafin Rahman; Pengfei Fang; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (CVPR, 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 (ICCV, 2021)

Learning Without Forgetting for 3D Point Cloud Objects. - Townim F. Chowdhury; Mahira Jalisha; Ali Cheraghian; Shafin Rahman (IWANN (1), 2021)

Few-Shot Class-Incremental Learning for 3D Point Cloud Objects. - Townim F. Chowdhury; Ali Cheraghian; Sameera Ramasinghe; Sahar Ahmadi; Morteza Saberi; Shafin Rahman (ECCV (20), 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)

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)

ChatGPT-guided Semantics for Zero-shot Learning. - Fahimul Hoque Shubho; Townim Faisal Chowdhury; Ali Cheraghian; Morteza Saberi; Nabeel Mohammed; Shafin Rahman (DICTA, 2023)

LumiNet: The Bright Side of Perceptual Knowledge Distillation. - Md. Ismail Hossain; Mirza M. Lutfe Elahi; Sameera Ramasinghe; Ali Cheraghian; Fuad Rahman 001; Nabeel Mohammed; Shafin Rahman (CoRR, 2023)

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 (ACCV (10), 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 001; Nabeel Mohammed; Shafin Rahman (BMVC, 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 001; Lars Petersson; Mehrtash Harandi (CVPR, 2024)

Enhancing Glaucoma Diagnosis through Vision-Language Models and Large Language Model Descriptions. - Heui Yeon Bae; Morteza Saberi; Sahar Shariflou; Michael Kalloniatis; Jack Phu; Ashish Agar; Ali Cheraghian; S. Mojtaba Golzan (DICTA, 2024)

Efficient Atmospheric Correction for Onboard Processing Using Knowledge Distillation and Model Compression. - Miaohua Zhang; Ali Cheraghian; Yi Qin; David Benn; Therese Rollan; Nariman Habili (DICTA, 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 (ECCV (41), 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 (WACV, 2024)

Task Progressive Curriculum Learning for Robust Visual Question Answering. - Ahmed Akl; Abdelwahed Khamis; Zhe Wang 001; Ali Cheraghian; Sara Khalifa; Kewen Wang 001 (CoRR, 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)

Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models. - Hamidreza Dastmalchi; Aijun An; Ali Cheraghian; Shafin Rahman; Sameera Ramasinghe (WACV, 2025)

LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration. - Md. Ismail Hossain; Mirza M. Lutfe Elahi; Sameera Ramasinghe; Ali Cheraghian; Fuad Rahman 001; Nabeel Mohammed; Shafin Rahman (Trans. Mach. Learn. Res., 2025)

ETTA: Efficient Test-Time Adaptation for Vision-Language Models through Dynamic Embedding Updates. - Hamidreza Dastmalchi; Aijun An; Ali Cheraghian (CoRR, 2025)