Katherine Liu

According to our database, Katherine Liu authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Zero-Shot Multi-Object Shape Completion.

Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov

CoRR, 2024

DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation.

Takuya Ikeda, Sergey Zakharov, Tianyi Ko, Muhammad Zubair Irshad, Robert Lee, Katherine Liu, Rares Ambrus, Koichi Nishiwaki

CoRR, 2024

2023

NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes.

Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-Object Manipulation via Object-Centric Neural Scattering Functions.

Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects.

Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes.

Sergey Zakharov, Rares Andrei Ambrus, Katherine Liu, Adrien Gaidon

Proceedings of the Conference on Robot Learning, 2022

2021

Online High-Level Model Estimation for Efficient Hierarchical Robot Navigation.

Martina Stadler, Katherine Liu, Nicholas Roy

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

VoluMon: Weakly-Supervised Volumetric Monocular Estimation with Ellipsoid Representations.

Katherine Liu, Kyel Ok, Nicholas Roy

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Hierarchical Object Map Estimation for Efficient and Robust Navigation.

Kyel Ok, Katherine Liu, Nicholas Roy

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

2020

Search and rescue under the forest canopy using multiple UAVs.

Yulun Tian, Katherine Liu, Kyel Ok, Loc D. Tran, Danette Allen, Nicholas Roy, Jonathan P. How

Int. J. Robotics Res., 2020

Online Descriptor Enhancement via Self-Labelling Triplets for Visual Data Association.

Yorai Shaoul, Katherine Liu, Kyel Ok, Nicholas Roy

CoRR, 2020

Learned Sampling Distributions for Efficient Planning in Hybrid Geometric and Object-Level Representations.

Katherine Liu, Martina Stadler, Nicholas Roy

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Robust Object-based SLAM for High-speed Autonomous Navigation.

Kyel Ok, Katherine Liu, Kristoffer M. Frey, Jonathan P. How, Nicholas Roy

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Search and Rescue Under the Forest Canopy Using Multiple UAS.

Yulun Tian, Katherine Liu, Kyel Ok, Loc D. Tran, Danette Allen, Nicholas Roy, Jonathan P. How

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Deep Inference for Covariance Estimation: Learning Gaussian Noise Models for State Estimation.

Katherine Liu, Kyel Ok, William Vega-Brown, Nicholas Roy

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018