Ender Konukoglu

27 papers · 2018–2025 · 8 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (9)

🗺️ Taxonomy Completionist (49) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🚀 Conference Pioneer 🗃️ Keyword Collector (103) 🔥 Unstoppable (8) 💎 Century Club (26) ⚡ Prolific Year (5)

Conferences

CVPR (5) ICLR (5) NIPS (5) ICCV (3) MICCAI (3) MIDL (3) WACV (2) JMLR (1)

Top co-authors

Ertunc Erdil (6) Luc Van Gool (5) Guolei Sun (4) Yun Liu (4) Gustav Bredell (3) Sara Sangalli (3) Tianfei Zhou (3) Kyriakos Flouris (2) Carlo Serra (2) Runjia Li (2)

Research topics

Core AI (1)

Keywords

semantic segmentation (5) medical image segmentation (3) image restoration (3) medical imaging (3) deep image prior (2) prototype learning (2) magnetic resonance imaging (2) self-supervised learning (2) representation learning (2) constrained optimization (2) variational autoencoder (2) out-of-distribution detection (2) 3d vision (2) diffusion model (2) unsupervised learning (2) domain generalization (1) image generation (1) 3d reconstruction (1) temporal modeling (1) few-shot learning (1)

Papers

Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation ICLR 2025 Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture MICCAI 2025 Enhancing Low Back Pain Assessment with Diffusion Models for Lumbar Spine MRI Segmentation MIDL 2025 Exploiting Temporal State Space Sharing for Video Semantic Segmentation CVPR 2025 Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model CVPR 2025 SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining ICCV 2025 MedVSR: Medical Video Super-Resolution with Cross State-Space Propagation ICCV 2025 Conformal forecasting for surgical instrument trajectory MICCAI 2025 Uncertainty modeling for fine-tuned implicit functions ICLR 2025 Generalizable Single-Source Cross-Modality Medical Image Segmentation via Invariant Causal Mechanisms WACV 2025 Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction MICCAI 2024 Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes NIPS 2024 Wiener Guided DIP for Unsupervised Blind Image Deconvolution WACV 2023 Expert load matters: operating networks at high accuracy and low manual effort NIPS 2023 FedFA: Federated Feature Augmentation ICLR 2023 Explicitly Minimizing the Blur Error of Variational Autoencoders ICLR 2023 Canonical normalizing flows for manifold learning NIPS 2023 Zero Pixel Directional Boundary by Vector Transform ICLR 2022 ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior CVPR 2022 Rethinking Semantic Segmentation: A Prototype View CVPR 2022 The OOD Blind Spot of Unsupervised Anomaly Detection MIDL 2021 Exploring Cross-Image Pixel Contrast for Semantic Segmentation ICCV 2021 Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes NIPS 2021 Contrastive learning of global and local features for medical image segmentation with limited annotations NIPS 2020 Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning JMLR 2019 Unsupervised Lesion Detection via Image Restoration with a Normative Prior MIDL 2019 Visual Feature Attribution Using Wasserstein GANs CVPR 2018