Jiayuan Gu

Orcid: 0000-0002-3207-7921

According to our database1, Jiayuan Gu authored at least 25 papers between 2018 and 2024.

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Bibliography

2024
Learning Generalist Robot Manipulation Policies
PhD thesis, 2024

Point-SAM: Promptable 3D Segmentation Model for Point Clouds.
CoRR, 2024

Evaluating Real-World Robot Manipulation Policies in Simulation.
CoRR, 2024

Generic 3D Diffusion Adapter Using Controlled Multi-View Editing.
CoRR, 2024

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation.
IEEE Trans. Robotics, June, 2023

Accio: Variable-Amount, Optimized-Unlinkable and NIZK-Free Off-Chain Payments via Hubs.
IACR Cryptol. ePrint Arch., 2023

PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation.
CoRR, 2023

ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multi-skill Mobile Manipulation for Object Rearrangement.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation.
CoRR, 2022

Automatic Error Analysis for Document-level Information Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2020
Compositionally Generalizable 3D Structure Prediction.
CoRR, 2020

Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks.
CoRR, 2020

Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Feedback Inverse Problem Solver.
Proceedings of the Computer Vision - ECCV 2020, 2020

Weakly-Supervised 3D Shape Completion in the Wild.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Multi-View PointNet for 3D Scene Understanding.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Region Features for Object Detection.
Proceedings of the Computer Vision - ECCV 2018, 2018

Relation Networks for Object Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018


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