Yang You

Orcid: 0000-0003-0125-0792

Affiliations:
  • Stanford University, Leonidas Guibas' Lab, Stanford, CA, USA
  • Shanghai Jiao Tong University, School of Mechanical Engineering, Shanghai, China (PhD 2022)


According to our database1, Yang You authored at least 47 papers between 2018 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
OCH3R: Object-Centric Holistic 3D Reconstruction.
CoRR, May, 2026

DOT-Sim: Differentiable Optical Tactile Simulation with Precise Real-to-Sim Physical Calibration.
CoRR, April, 2026

SceneTeract: Agentic Functional Affordances and VLM Grounding in 3D Scenes.
CoRR, March, 2026

Learning Physical Principles from Interaction: Self-Evolving Planning via Test-Time Memory.
CoRR, February, 2026

2025
Robot Learning from a Physical World Model.
CoRR, November, 2025

Robot Learning from Any Images.
CoRR, September, 2025

AllTracker: Efficient Dense Point Tracking at High Resolution.
CoRR, June, 2025

Rodrigues Network for Learning Robot Actions.
CoRR, June, 2025

Make a Donut: Hierarchical EMD-Space Planning for Zero-Shot Deformable Manipulation With Tools.
IEEE Robotics Autom. Lett., April, 2025

Img2CAD: Reverse Engineering 3D CAD Models from Images through VLM-Assisted Conditional Factorization.
Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

ArtGS: 3D Gaussian Splatting for Interactive Visual-Physical Modeling and Manipulation of Articulated Objects.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AllTracker: Efficient Dense Point Tracking at High Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
CPPF++: Uncertainty-Aware Sim2Real Object Pose Estimation by Vote Aggregation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly.
CoRR, 2024

Img2CAD: Reverse Engineering 3D CAD Models from Images through VLM-Assisted Conditional Factorization.
CoRR, 2024

ManiPose: A Comprehensive Benchmark for Pose-aware Object Manipulation in Robotics.
CoRR, 2024

ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process.
CoRR, 2024

ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

RPMArt: Towards Robust Perception and Manipulation for Articulated Objects.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

PACE: A Large-Scale Dataset with Pose Annotations in Cluttered Environments.
Proceedings of the Computer Vision - ECCV 2024, 2024

Bridging the Gap Between Human Motion and Action Semantics via Kinematic Phrases.
Proceedings of the Computer Vision - ECCV 2024, 2024

Primitive-Based 3D Human-Object Interaction Modelling and Programming.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
PACE: Pose Annotations in Cluttered Environments.
CoRR, 2023

Make a Donut: Language-Guided Hierarchical EMD-Space Planning for Zero-shot Deformable Object Manipulation.
CoRR, 2023

CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Robotic picking in dense clutter via domain invariant learning from synthetic dense cluttered rendering.
Robotics Auton. Syst., 2022

PRIN/SPRIN: On Extracting Point-Wise Rotation Invariant Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Understanding Pixel-Level 2D Image Semantics With 3D Keypoint Knowledge Engine.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Go Beyond Point Pairs: A General and Accurate Sim2Real Object Pose Voting Method with Efficient Online Synthetic Training.
CoRR, 2022

One-Shot General Object Localization.
CoRR, 2022

Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

UKPGAN: A General Self-Supervised Keypoint Detector.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Point cloud classification with deep normalized Reeb graph convolution.
Image Vis. Comput., 2021

Skeleton Merger: An Unsupervised Aligned Keypoint Detector.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
UKPGAN: Unsupervised KeyPoint GANeration.
CoRR, 2020

Semantic Correspondence via 2D-3D-2D Cycle.
CoRR, 2020

Human Correspondence Consensus for 3D Object Semantic Understanding.
Proceedings of the Computer Vision - ECCV 2020, 2020

KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Combinatorial Q-Learning for Dou Di Zhu.
Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020

Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Relative CNN-RNN: Learning Relative Atmospheric Visibility From Images.
IEEE Trans. Image Process., 2019

Fine-grained Object Semantic Understanding from Correspondences.
CoRR, 2019

Combinational Q-Learning for Dou Di Zhu.
CoRR, 2019

2018
PRIN: Pointwise Rotation-Invariant Network.
CoRR, 2018


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