Cheraghian, Ali

10 publications

TMLR 2025 LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration Md. Ismail Hossain, M M Lutfe Elahi, Sameera Ramasinghe, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, Shafin Rahman

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

CVPR 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

ECCV 2024 Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning Ali Cheraghian, Zeeshan Hayder, Sameeea Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi

WACV 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

ECCV 2022 Few-Shot Class-Incremental Learning for 3D Point Cloud Objects Townim Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, Shafin Rahman

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

ICCV 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

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

WACV 2019 3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds Ali Cheraghian, Lars Petersson