Ruizhen Hu

Orcid: 0000-0002-6798-0336

According to our database1, Ruizhen Hu authored at least 57 papers between 2012 and 2024.

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Bibliography

2024
InterFusion: Text-Driven Generation of 3D Human-Object Interaction.
CoRR, 2024

Synchronized Dual-arm Rearrangement via Cooperative mTSP.
CoRR, 2024

Learning Dual-arm Object Rearrangement for Cartesian Robots.
CoRR, 2024

2023
Interaction-Driven Active 3D Reconstruction with Object Interiors.
ACM Trans. Graph., December, 2023

Neural Packing: from Visual Sensing to Reinforcement Learning.
ACM Trans. Graph., December, 2023

Scene-Aware Activity Program Generation with Language Guidance.
ACM Trans. Graph., December, 2023

Online Scene CAD Recomposition via Autonomous Scanning.
ACM Trans. Graph., December, 2023

ScanBot: Autonomous Reconstruction via Deep Reinforcement Learning.
ACM Trans. Graph., August, 2023

Preface.
J. Comput. Sci. Technol., June, 2023

Self-Supervised Color-Concept Association via Image Colorization.
IEEE Trans. Vis. Comput. Graph., 2023

HI-Net: Boosting Self-Supervised Indoor Depth Estimation via Pose Optimization.
IEEE Robotics Autom. Lett., 2023

Point cloud completion via structured feature maps using a feedback network.
Comput. Vis. Media, 2023

SAM-guided Graph Cut for 3D Instance Segmentation.
CoRR, 2023

NIFT: Neural Interaction Field and Template for Object Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ARO-Net: Learning Implicit Fields from Anchored Radial Observations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Semi-Weakly Supervised Object Kinematic Motion Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Relationship-Based Point Cloud Completion.
IEEE Trans. Vis. Comput. Graph., 2022

Consistent Two-Flow Network for Tele-Registration of Point Clouds.
IEEE Trans. Vis. Comput. Graph., 2022

FAME: 3D Shape Generation via Functionality-Aware Model Evolution.
IEEE Trans. Vis. Comput. Graph., 2022

Learning high-DOF reaching-and-grasping via dynamic representation of gripper-object interaction.
ACM Trans. Graph., 2022

Photo-to-shape material transfer for diverse structures.
ACM Trans. Graph., 2022

Asynchronous Collaborative Autoscanning with Mode Switching for Multi-Robot Scene Reconstruction.
ACM Trans. Graph., 2022

Image-guided color mapping for categorical data visualization.
Comput. Vis. Media, 2022

ARO-Net: Learning Neural Fields from Anchored Radial Observations.
CoRR, 2022

Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation.
CoRR, 2022

Point cloud completion on structured feature map with feedback network.
CoRR, 2022

Shape Completion with Points in the Shadow.
Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

2021
Shape-Driven Coordinate Ordering for Star Glyph Sets via Reinforcement Learning.
IEEE Trans. Vis. Comput. Graph., 2021

UprightRL: Upright Orientation Estimation of 3D Shapes via Reinforcement Learning.
Comput. Graph. Forum, 2021

Learning Cuboid Abstraction of 3D Shapes via Iterative Error Feedback.
Comput. Aided Des., 2021

2020
Localization and Completion for 3D Object Interactions.
IEEE Trans. Vis. Comput. Graph., 2020

Data Sampling in Multi-view and Multi-class Scatterplots via Set Cover Optimization.
IEEE Trans. Vis. Comput. Graph., 2020

TAP-Net: transport-and-pack using reinforcement learning.
ACM Trans. Graph., 2020

Graph2Plan: learning floorplan generation from layout graphs.
ACM Trans. Graph., 2020

3D Shape Generation via Functionality-Aware Model Evolution.
CoRR, 2020

Foreword to the Special Section on Shape Modeling International 2020.
Comput. Graph., 2020

2019
RPM-Net: recurrent prediction of motion and parts from point cloud.
ACM Trans. Graph., 2019

2018
Global-to-local generative model for 3D shapes.
ACM Trans. Graph., 2018

Construction and fabrication of reversible shape transforms.
ACM Trans. Graph., 2018

Predictive and generative neural networks for object functionality.
ACM Trans. Graph., 2018

Semantic object reconstruction via casual handheld scanning.
ACM Trans. Graph., 2018

Sketching in Gestalt Space: Interactive Shape Abstraction through Perceptual Reasoning.
Comput. Graph. Forum, 2018

Functionality Representations and Applications for Shape Analysis.
Comput. Graph. Forum, 2018

2017
Learning to predict part mobility from a single static snapshot.
ACM Trans. Graph., 2017

Co-Locating Style-Defining Elements on 3D Shapes.
ACM Trans. Graph., 2017

2016
Relationship templates for creating scene variations.
ACM Trans. Graph., 2016

Learning how objects function via co-analysis of interactions.
ACM Trans. Graph., 2016

SIGGRAPH Asia 2016: course notes directions in shape analysis towards functionality.
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Courses, 2016

2015
Foldabilizing furniture.
ACM Trans. Graph., 2015

Interaction context (ICON): towards a geometric functionality descriptor.
ACM Trans. Graph., 2015

Dapper: decompose-and-pack for 3D printing.
ACM Trans. Graph., 2015

2014
Grey conversion via perceived-contrast.
Vis. Comput., 2014

Approximate pyramidal shape decomposition.
ACM Trans. Graph., 2014

2012
Co-Segmentation of 3D Shapes via Subspace Clustering.
Comput. Graph. Forum, 2012

Blue noise sampling of surfaces.
Comput. Graph., 2012


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