Heng Yang

Orcid: 0000-0003-0074-7836

Affiliations:
  • MIT, Cambridge, MA, USA


According to our database1, Heng Yang authored at least 17 papers between 2019 and 2024.

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Bibliography

2024
SIM-Sync: From Certifiably Optimal Synchronization Over the 3D Similarity Group to Scene Reconstruction With Learned Depth.
IEEE Robotics Autom. Lett., May, 2024

2023
Optimal and Robust Category-Level Perception: Object Pose and Shape Estimation From 2-D and 3-D Semantic Keypoints.
IEEE Trans. Robotics, October, 2023

Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

An inexact projected gradient method with rounding and lifting by nonlinear programming for solving rank-one semidefinite relaxation of polynomial optimization.
Math. Program., 2023

2022
Outlier-Robust Estimation: Hardness, Minimally Tuned Algorithms, and Applications.
IEEE Trans. Robotics, 2022

Optimal and Robust Category-level Perception: Object Pose and Shape Estimation from 2D and 3D Semantic Keypoints.
CoRR, 2022

2021
TEASER: Fast and Certifiable Point Cloud Registration.
IEEE Trans. Robotics, 2021

Certifiable Outlier-Robust Geometric Perception: Exact Semidefinite Relaxations and Scalable Global Optimization.
CoRR, 2021

STRIDE along Spectrahedral Vertices for Solving Large-Scale Rank-One Semidefinite Relaxations.
CoRR, 2021

Optimal Pose and Shape Estimation for Category-level 3D Object Perception.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

ROBIN: a Graph-Theoretic Approach to Reject Outliers in Robust Estimation using Invariants.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Self-Supervised Geometric Perception.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection.
IEEE Robotics Autom. Lett., 2020

One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A Polynomial-time Solution for Robust Registration with Extreme Outlier Rates.
Proceedings of the Robotics: Science and Systems XV, 2019

A Quaternion-Based Certifiably Optimal Solution to the Wahba Problem With Outliers.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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