Moslem Yazdanpanah

According to our database, Moslem Yazdanpanah authored at least 15 papers between 2022 and 2025.

Collaborative distances:

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

2025

CTA: Cross-Task Alignment for Better Test Time Training.

Samuel Barbeau, Pedram Fekri, David Osowiechi, Ali Bahri, Moslem Yazdanpanah, Masih Aminbeidokhti, Christian Desrosiers

CoRR, July, 2025

Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation.

Mehrdad Noori, David Osowiechi, Gustavo Adolfo Vargas Hakim, Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers

CoRR, May, 2025

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds.

Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers

CoRR, May, 2025

GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D.

Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Milad Cheraghalikhani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers

Trans. Mach. Learn. Res., 2025

CLIPArTT: Adaptation of CLIP to New Domains at Test Time.

Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging.

Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, David Osowiechi, Farzad Beizaee, Gustavo Adolfo Vargas Hakim, Ismail Ben Ayed, Christian Desrosiers

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

FDS: Feedback-Guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization.

Ali Bahri, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, Ismail Ben Ayed, Milad Cheraghalikhani, David Osowiechi, Christian Desrosiers, Moslem Yazdanpanah

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Spectral State Space Model for Rotation-Invariant Visual Representation Learning.

Sahar Dastani, Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, David Osowiechi, Gustavo Adolfo Vargas Hakim, Farzad Beizaee, Milad Cheraghalikhani, Arnab Kumar Mondal, Herve Lombaert, Christian Desrosiers

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Spectral Informed Mamba for Robust Point Cloud Processing.

Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

CLIPArTT: Light-weight Adaptation of CLIP to New Domains at Test Time.

Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers

CoRR, 2024

NC-TTT: A Noise Contrastive Approach for Test-Time Training.

David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers

CoRR, 2024

WATT: Weight Average Test Time Adaptation of CLIP.

David Osowiechi, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, Moslem Yazdanpanah, Ali Bahri, Milad Cheraghalikhani, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

NC-TTT: A Noise Constrastive Approach for Test-Time Training.

David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers

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

2022

Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning.

Moslem Yazdanpanah, Aamer Abdul Rahman, Muawiz Chaudhary, Christian Desrosiers, Mohammad Havaei, Eugene Belilovsky, Samira Ebrahimi Kahou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Visual Domain Bridge: A source-free domain adaptation for cross-domain few-shot learning.

Moslem Yazdanpanah, Parham Moradi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022