Zhe Min

4 papers · 2024–2026 · 3 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 · Silver 🚀 Conference Pioneer

Venues

MICCAI (2) CVPR (1) NeurIPS (1)

Top co-authors

Rujing Wang (1) Yipeng Hu (1) Shixing Ma (1) Jianan Wang (1) Li Zhang (1) Max Q.-H. Meng (1) Zachary M. C. Baum (1) Dean C. Barratt (1) Zeike A. Taylor (1) Xinzhe Du (1)

Research topics

Computer Vision (2) Deep Learning (2) Analysis (2) Healthcare & Medicine (1) Machine Learning (1) Architectures (1) Clinical (1) Learning Types (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

domain generalization (1) feature extraction (1) universal approximation (1) point cloud (1) monocular depth estimation (1) neural network optimization (1) convolutional neural network (1) 3d convolution (1) l1-norm convolution (1) l2-norm convolution (1) self-supervised depth estimation (1) zero-shot depth estimation (1) monocular endoscopy (1)

Papers

Depth Any Endoscopy: Towards Self-Supervised Generalizable Depth Estimation in Monocular Endoscopy CVPR 2026 Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI Segmentation MICCAI 2025 Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity MICCAI 2024 Rethinking 3D Convolution in ℓ_p-norm Space NeurIPS 2024