Haoshu Fang

Orcid: 0000-0002-0758-0293

According to our database¹, Haoshu Fang authored at least 50 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

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Links

On csauthors.net:

Bibliography

2024

AViTa: Adaptive Visual-Tactile Dexterous Grasping.

[BibT_eX]

[DOI]

Hengxu Yan

Haoshu Fang

Cewu Lu

IEEE Robotics Autom. Lett., November, 2024

Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., August, 2024

CAGE: Causal Attention Enables Data-Efficient Generalizable Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Effective Utilization of Mixed-Quality Demonstrations in Robotic Manipulation via Segment-Level Selection and Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

EyeSight Hand: Design of a Fully-Actuated Dexterous Robot Hand with Integrated Vision-Based Tactile Sensors and Compliant Actuation.

[BibT_eX]

[DOI]

CoRR, 2024

RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective.

[BibT_eX]

[DOI]

CoRR, 2024

RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents.

[BibT_eX]

[DOI]

CoRR, 2024

A Surprisingly Efficient Representation for Multi-Finger Grasping.

[BibT_eX]

[DOI]

Hengxu Yan

Haoshu Fang

Cewu Lu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

[BibT_eX]

[DOI]

Henrik I. Christensen

Keerthana Gopalakrishnan

Lawrence Yunliang Chen

Nur Muhammad (Mahi) Shafiullah

Roberto Martín-Martín

Subramanian Ramamoorthy

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, October, 2023

Robust grasping across diverse sensor qualities: The GraspNet-1Billion dataset.

[BibT_eX]

[DOI]

Int. J. Robotics Res., October, 2023

InstaBoost++: Visual Coherence Principles for Unified 2D/3D Instance Level Data Augmentation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., October, 2023

HAKE: A Knowledge Engine Foundation for Human Activity Understanding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

[BibT_eX]

[DOI]

CoRR, 2023

Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild.

[BibT_eX]

[DOI]

CoRR, 2023

RH20T: A Robotic Dataset for Learning Diverse Skills in One-Shot.

[BibT_eX]

[DOI]

CoRR, 2023

Flexible Handover with Real-Time Robust Dynamic Grasp Trajectory Generation.

[BibT_eX]

[DOI]

IROS, 2023

Target-referenced Reactive Grasping for Dynamic Objects.

[BibT_eX]

[DOI]

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

2022

TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Discovering A Variety of Objects in Spatio-Temporal Human-Object Interactions.

[BibT_eX]

[DOI]

CoRR, 2022

X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360$^{\circ} $ Insufficient RGB-D Views.

[BibT_eX]

[DOI]

Haoyi Zhu

Haoshu Fang

Cewu Lu

CoRR, 2022

Unseen Object 6D Pose Estimation: A Benchmark and Baselines.

[BibT_eX]

[DOI]

CoRR, 2022

TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and Grasping.

[BibT_eX]

[DOI]

CoRR, 2022

Human Trajectory Prediction with Momentary Observation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Correlation Field for Boosting 3D Object Detection in Structured Scenes.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images.

[BibT_eX]

[DOI]

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

Graspness Discovery in Clutters for Fast and Accurate Grasp Detection.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DecAug: Augmenting HOI Detection via Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

PaStaNet: Toward Human Activity Knowledge Engine.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

GraspNet: A Large-Scale Clustered and Densely Annotated Datase for Object Grasping.

[BibT_eX]

[DOI]

CoRR, 2019

HAKE: Human Activity Knowledge Engine.

[BibT_eX]

[DOI]

CoRR, 2019

InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting.

[BibT_eX]

[DOI]

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

Cross-Domain Adaptation for Animal Pose Estimation.

[BibT_eX]

[DOI]

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

Transferable Interactiveness Knowledge for Human-Object Interaction Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Estimating 6D Pose From Localizing Designated Surface Keypoints.

[BibT_eX]

[DOI]

CoRR, 2018

Transferable Interactiveness Prior for Human-Object Interaction Detection.

[BibT_eX]

[DOI]

CoRR, 2018

Pairwise Body-Part Attention for Recognizing Human-Object Interactions.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Learning Knowledge-guided Pose Grammar Machine for 3D Human Pose Estimation.

[BibT_eX]

[DOI]

CoRR, 2017

RMPE: Regional Multi-person Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

RMPE: Regional Multi-person Pose Estimation.

[BibT_eX]

[DOI]

Haoshu Fang

Shuqin Xie

Cewu Lu

CoRR, 2016

Haoshu Fang

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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