Yaroslava Lochman

5 papers · 2021–2025 · 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

CVPR (2) ICCV (2) WACV (1)

Top co-authors

Christopher Zach (4) James Pritts (2) Carl Olsson (2) Johan Malmport (1) Oles Dobosevych (1) Xixi Liu (1) Jianhui Chen (1) Rostyslav Hryniv (1) Kostiantyn Liepieshov (1) Michal Perdoch (1)

Research topics

Machine Learning (3) Learning Types · Machine Learning (2) Optimization & Theory (2) Computer Science (1) Computer Vision (1) Deep Learning (1) Mathematics & Optimization (1) Analysis (1) Application Areas (1) Core Methods (1) Foundations (1) Learning Types · Deep Learning (1) Optimization (1)

Keywords

subspace clustering (1) uncertainty quantification (1) structure from motion (1) rotation averaging (1) weak supervision (1) global optimization (1) convex relaxation (1) robust estimation (1) motion segmentation (1) out-of-distribution detection (1) camera pose (1) trajectory embedding (1) softmax classifier (1) geometric loss (1) camera calibration (1) post-hoc detection (1) minimal solver (1) absolute pose estimation (1) focal length estimation (1) geometric computer vision (1)

Papers

Certifiably Optimal Anisotropic Rotation Averaging ICCV 2025 Learned Trajectory Embedding for Subspace Clustering CVPR 2024 GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection CVPR 2023 BabelCalib: A Universal Approach to Calibrating Central Cameras ICCV 2021 Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration WACV 2021