Heng Yang

According to our database, Heng Yang authored at least 16 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Optimal and Robust Category-Level Perception: Object Pose and Shape Estimation From 2-D and 3-D Semantic Keypoints.

Jingnan Shi, Heng Yang, Luca Carlone

IEEE Trans. Robotics, October, 2023

Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization.

Heng Yang, Luca Carlone

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.

Heng Yang, Ling Liang, Luca Carlone, Kim-Chuan Toh

Math. Program., 2023

2022

Outlier-Robust Estimation: Hardness, Minimally Tuned Algorithms, and Applications.

Pasquale Antonante, Vasileios Tzoumas, Heng Yang, Luca Carlone

IEEE Trans. Robotics, 2022

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

Jingnan Shi, Heng Yang, Luca Carlone

CoRR, 2022

2021

TEASER: Fast and Certifiable Point Cloud Registration.

Heng Yang, Jingnan Shi, Luca Carlone

IEEE Trans. Robotics, 2021

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

Heng Yang, Luca Carlone

CoRR, 2021

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

Heng Yang, Ling Liang, Kim-Chuan Toh, Luca Carlone

CoRR, 2021

Optimal Pose and Shape Estimation for Category-level 3D Object Perception.

Jingnan Shi, Heng Yang, Luca Carlone

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.

Jingnan Shi, Heng Yang, Luca Carlone

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Self-Supervised Geometric Perception.

Heng Yang, Wei Dong, Luca Carlone, Vladlen Koltun

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.

Heng Yang, Pasquale Antonante, Vasileios Tzoumas, Luca Carlone

IEEE Robotics Autom. Lett., 2020

One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers.

Heng Yang, Luca Carlone

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.

Heng Yang, Luca Carlone

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.

Heng Yang, Luca Carlone

Proceedings of the Robotics: Science and Systems XV, 2019

A Quaternion-Based Certifiably Optimal Solution to the Wahba Problem With Outliers.

Heng Yang, Luca Carlone

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019