Mehrdad Noori

Orcid: 0000-0002-6571-742X

According to our database1, Mehrdad Noori authored at least 26 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Prompt Learning With Bounding Box Constraints for Medical Image Segmentation.
IEEE Trans. Biomed. Eng., January, 2026

Revisiting Layer Normalization for Point Cloud Test Time Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Histopath-C: Towards Realistic Domain Shifts for Histopathology Vision-Language Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025
TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses.
CoRR, September, 2025

GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D.
Trans. Mach. Learn. Res., 2025

CLIPArTT: Adaptation of CLIP to New Domains at Test Time.
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.
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.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token Purging.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Spectral State Space Model for Rotation-Invariant Visual Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Spectral Informed Mamba for Robust Point Cloud Processing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
TFS-ViT: Token-level feature stylization for domain generalization.
Pattern Recognit., 2024

Structure-aware feature stylization for domain generalization.
Comput. Vis. Image Underst., 2024

CLIPArTT: Light-weight Adaptation of CLIP to New Domains at Test Time.
CoRR, 2024

NC-TTT: A Noise Contrastive Approach for Test-Time Training.
CoRR, 2024

WATT: Weight Average Test Time Adaptation of CLIP.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

NC-TTT: A Noise Constrastive Approach for Test-Time Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
ClusT3: Information Invariant Test-Time Training.
CoRR, 2023

TTTFlow: Unsupervised Test-Time Training with Normalizing Flow.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

ClusT3: Information Invariant Test-Time Training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2020
CAGNet: Content-Aware Guidance for Salient Object Detection.
Pattern Recognit., 2020

Remote Sensing Image Classification via Improved Cross-Entropy Loss and Transfer Learning Strategy Based on Deep Convolutional Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2020

DFNet: Discriminative feature extraction and integration network for salient object detection.
Eng. Appl. Artif. Intell., 2020

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation.
CoRR, 2020


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