Ender Konukoglu

papers

1,660

total citations

papers (13)

Contrastive learning of global and local features for medical image segmentation with limited annotations

NEURIPS 2020arXiv

642

citations

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

ICCV 2021arXiv

547

citations

Rethinking Semantic Segmentation: A Prototype View

CVPR 2022arXiv

330

citations

Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes

NEURIPS 2021arXiv

citations

ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior

CVPR 2022arXiv

citations

Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation

ICLR 2025arXiv

citations

SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining

ICCV 2025arXiv

citations

Ender Konukoglu

papers (13)

Contrastive learning of global and local features for medical image segmentation with limited annotations

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Rethinking Semantic Segmentation: A Prototype View

Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes

ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior

Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation

SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining

Canonical normalizing flows for manifold learning

Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model

Exploiting Temporal State Space Sharing for Video Semantic Segmentation

Expert load matters: operating networks at high accuracy and low manual effort

Uncertainty modeling for fine-tuned implicit functions

MedVSR: Medical Video Super-Resolution with Cross State-Space Propagation

papers (13)

Contrastive learning of global and local features for medical image segmentation with limited annotations

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Rethinking Semantic Segmentation: A Prototype View

Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes

ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior

Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation

SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining

Canonical normalizing flows for manifold learning

Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model

Exploiting Temporal State Space Sharing for Video Semantic Segmentation

Expert load matters: operating networks at high accuracy and low manual effort

Uncertainty modeling for fine-tuned implicit functions

MedVSR: Medical Video Super-Resolution with Cross State-Space Propagation