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Yizhe Wu
Yizhe Wu
Applied AI Lab, Oxford Robotics Institute, University of Oxford
Verified email at oxfordrobotics.institute - Homepage
Title
Cited by
Cited by
Year
APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation
Y Wu, OP Jones, M Engelcke, I Posner
The 2021 International Conference on Intelligent Robots and Systems (IROS), 2021
152021
Imagine that! Leveraging emergent affordances for 3D tool synthesis
Y Wu, S Kasewa, O Groth, S Salter, L Sun, OP Jones, I Posner
arXiv preprint arXiv:1909.13561, 2019
7*2019
Time-variable, event-based walking control for biped robots
D Wahrmann, Y Wu, F Sygulla, AC Hildebrandt, R Wittmann, P Seiwald, ...
International Journal of Advanced Robotic Systems 15 (2), 1729881418768918, 2018
62018
Obpose: Leveraging canonical pose for object-centric scene inference in 3d
Y Wu, OP Jones, I Posner
arXiv preprint arXiv:2206.03591 2, 2022
52022
Introspective visuomotor control: exploiting uncertainty in deep visuomotor control for failure recovery
CM Hung, L Sun, Y Wu, I Havoutis, I Posner
2021 IEEE International Conference on Robotics and Automation (ICRA), 6293-6299, 2021
32021
Learning affordances in object-centric generative models
Y Wu, S Kasewa, O Groth, S Salter, L Sun, O Parker Jones, H Posner
Object-Oriented Learning (OOL): Perception, Representation, and Reasoning, ICML, 2020
12020
DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer
Y Wu, HS de Ocáriz Borde, J Collins, OP Jones, I Posner
IEEE Robotics and Automation Letters, 2024
2024
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