← Authors

Ingmar Posner

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

Achievements

🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (17) 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