Lawrence H. Staib

4 papers · 2024–2025 · 4 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (4) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) 🚀 Conference Pioneer

Conferences

CVPR (1) ECCV (1) ICCV (1) MICCAI (1)

Top co-authors

Xiaoran Zhang (3) James S. Duncan (3) Alex Wong (3) Albert J. Sinusas (2) Daniel H. Pak (2) Shawn S. Ahn (1) Yann LeCun (1) Hyoungseob Park (1) Chenyu You (1) John C. Stendahl (1)

Keywords

information theory (1) test-time adaptation (1) medical image segmentation (1) distribution shift (1) adaptive dropout (1) energy-based model (1) uncertainty estimation (1) predictive uncertainty (1) monte carlo dropout (1) neural network (1) shape energy (1)

Papers

Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation CVPR 2025

Progressive Test Time Energy Adaptation for Medical Image Segmentation ICCV 2025

Adaptive Correspondence Scoring for Unsupervised Medical Image Registration ECCV 2024

Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration MICCAI 2024