Brian Okorn

5 papers · 2020–2022 · 2 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 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

CoRL (3) CVPR (2)

Top co-authors

David Held (4) Chuer Pan (2) Yu-Wei Chao (1) Narasimhan Gautham (1) Chris Paxton (1) Yufei Wang (1) Ben Eisner (1) Ankit Goyal (1) Xingyu Lin (1) Jia Deng (1)

Research topics

Computer Vision (4) Machine Learning (4) Learning Types · Machine Learning (4) Analysis (3) Artificial Intelligence (2) Deep Learning (2) Core AI (2) Domain-Specific (2) Reinforcement Learning (1) Applications (1) Architectures (1) Learning Types · Deep Learning (1) Methods (1) Processing (1)

Keywords

self-supervised learning (3) iterative optimization (1) robotic manipulation (1) pose estimation (1) motion estimation (1) autonomous driving (1) visual reinforcement learning (1) object manipulation (1) nearest neighbor (1) object segmentation (1) optical flow estimation (1) convolutional neural network (1) synthetic data (1) cycle consistency (1) skill transfer (1) scene flow estimation (1) scene flow (1) orientation estimation (1) object rearrangement (1) occlusion reasoning (1)

Papers

Deep Projective Rotation Estimation through Relative Supervision CoRL 2022 IFOR: Iterative Flow Minimization for Robotic Object Rearrangement CVPR 2022 TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation CoRL 2022 Just Go With the Flow: Self-Supervised Scene Flow Estimation CVPR 2020 ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning CoRL 2020