David Osowiechi

According to our database1, David Osowiechi authored at least 18 papers between 2023 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
CTA: Cross-Task Alignment for Better Test Time Training.
CoRR, July, 2025

Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation.
CoRR, May, 2025

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

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 38: 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


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