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Ingmar Posner

27 papers · 2008–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird
πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌱 Topic Pioneer 🧬 Topic Evolution πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (109) πŸ“ˆ Trend Setter πŸ’Ž Century Club (26) πŸ”₯ Unstoppable (9) πŸš€ Conference Pioneer

Conferences

CORL (8) NIPS (6) ICLR (3) ECCV (2) ICML (2) RSS (2) AAAI (1) ICCV (1) JMLR (1) L4DC (1)

Top co-authors

Martin Engelcke (5) Walter Goodwin (3) Shaohong Zhong (3) Oiwi Parker Jones (3) Sasha Salter (3) Ioannis Havoutis (3) Markus Wulfmeier (3) Jack Collins (3) Jun Yamada (3) Perla Maiolino (2)

Research topics

Applications (1)

Keywords

reinforcement learning (3) video generation (2) object representation (2) sim-to-real transfer (2) object tracking (2) neural radiance field (2) generative model (2) permutation invariance (2) sample efficiency (1) transfer learning (1) continual learning (1) anomaly detection (1) pose estimation (1) embedding learning (1) deep reinforcement learning (1) manifold learning (1) universal approximation (1) domain generalization (1) attention mechanism (1) self-supervised learning (1)

Papers

TactGen: Tactile Sensory Data Generation via Zero-Shot Sim-to-Real Transfer (Abstract Reprint) AAAI 2026 D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation CORL 2025 COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping CORL 2025 Kaputt: A Large-Scale Dataset for Visual Defect Detection ICCV 2025 Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion CORL 2024 Reward-Free Curricula for Training Robust World Models ICLR 2024 Efficient skill acquisition for insertion tasks in obstructed environments L4DC 2024 Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning ICLR 2023 Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization NIPS 2023 You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example CORL 2022 Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data Generation CORL 2022 Universal Approximation of Functions on Sets JMLR 2022 Zero-Shot Category-Level Object Pose Estimation ECCV 2022 E(n) Equivariant Normalizing Flows NIPS 2021 GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement NIPS 2021 GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations ICLR 2020 RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces NIPS 2020 Attention-Privileged Reinforcement Learning CORL 2020 On the Limitations of Representing Functions on Sets ICML 2019 Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information CORL 2019 ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking ECCV 2018 Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects NIPS 2018 TACO: Learning Task Decomposition via Temporal Alignment for Control ICML 2018 Mutual Alignment Transfer Learning CORL 2017 Hierarchical Attentive Recurrent Tracking NIPS 2017 Voting for Voting in Online Point Cloud Object Detection RSS 2015 Fast Probabilistic Labeling of City Maps RSS 2008