Eric Hedlin

3 papers · 2023–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

CVPR (2) NeurIPS (1)

Top co-authors

Kwang Moo Yi (3) Shweta Mahajan (3) Gopal Sharma (2) Hossam Isack (2) Andrea Tagliasacchi (2) Abhishek Kar (2) Xingzhe He (1) Helge Rhodin (1) Fatih Porikli (1) Munawar Hayat (1)

Research topics

Deep Learning (3) Machine Learning (3) Models (3) Computer Vision (2) Analysis (2) Learning Types · Machine Learning (2) Architectures (1) Core AI (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

unsupervised learning (1) image generation (1) self-supervised learning (1) attention mechanism (1) neural network optimization (1) landmark detection (1) generative model (1) diffusion model (1) text-to-image diffusion (1) stable diffusion (1) neural field (1) semantic correspondence (1) cross-attention map (1) image embedding (1) keypoint detection (1) prompt embedding (1) personalized image generation (1) unsupervised keypoint (1) weight trajectories (1)

Papers

HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories CVPR 2025 Unsupervised Keypoints from Pretrained Diffusion Models CVPR 2024 Unsupervised Semantic Correspondence Using Stable Diffusion NeurIPS 2023