Soeren Pirk

4 papers · 2016–2021 · 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

🚀 Conference Pioneer

Venues

NeurIPS (2) AAAI (1) CoRL (1)

Top co-authors

Dominik L Michels (1) Han Shao (1) Tassilo Kugelstadt (1) Reza Mahjourian (1) Leonidas Guibas (1) Torsten Hädrich (1) Mohi Khansari (1) Karol Hausman (1) Vincent Casser (1) Alexander Toshev (1)

Research topics

Deep Learning (3) Computer Vision (2) Machine Learning (2) Analysis (2) Architectures (2) Artificial Intelligence (1) Robotics (1) Application Areas (1) Applications (1) Core AI (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1) Techniques (1)

Keywords

unsupervised learning (1) robot navigation (1) domain adaptation (1) feature extraction (1) scene understanding (1) object recognition (1) depth estimation (1) 3d vision (1) convolutional neural network (1) deep neural network (1) structure prediction (1) monocular video (1) task planning (1) 3d data (1) iterative solver (1) physical simulation (1) graph network (1) image observation (1) depth prediction (1) long-horizon task (1)

Papers

Accurately Solving Rod Dynamics with Graph Learning NeurIPS 2021 Modeling Long-horizon Tasks as Sequential Interaction Landscapes CoRL 2020 Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos AAAI 2019 FPNN: Field Probing Neural Networks for 3D Data NeurIPS 2016