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Rakesh Shrestha

3 papers · 2022–2024 · 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 · Bronze

Venues

CVPR (1) ECCV (1) L4DC (1)

Top co-authors

Ping Tan (2) Zhaopeng Cui (1) Mo Chen (1) Wenbo Li (1) Minghao Gou (1) Ziyuan Liu (1) Luwei Yang (1) Shuaicheng Liu (1) Siqi Hu (1) Minh Bui (1)

Research topics

Machine Learning (2) Artificial Intelligence (1) Computer Vision (1) Deep Learning (1) Analysis (1) Application Areas (1) Core AI (1) Core Methods (1) Optimization & Theory · Deep Learning (1) Optimization & Theory · Machine Learning (1)

Keywords

3d reconstruction (1) robot navigation (1) pose estimation (1) visual localization (1) safe navigation (1) support vector machine (1) decision boundary (1) reachability analysis (1) 3d model (1) vision-based navigation (1) camera relocalization (1) scene compression (1) point selection (1) learned quantization (1)

Papers

Decision boundary learning for safe vision-based navigation via Hamilton-Jacobi reachability analysis and support vector machine L4DC 2024 A Real World Dataset for Multi-View 3D Reconstruction ECCV 2022 SceneSqueezer: Learning To Compress Scene for Camera Relocalization CVPR 2022