Junhao Cai

Orcid: 0000-0003-3664-1259

According to our database1, Junhao Cai authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2018
2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Open-Vocabulary Category-Level Object Pose and Size Estimation.
IEEE Robotics Autom. Lett., September, 2024

Toward Scalable and Efficient Visual Data Transmission in 6G Networks.
CoRR, 2024

Gaussian-Informed Continuum for Physical Property Identification and Simulation.
CoRR, 2024

OV9D: Open-Vocabulary Category-Level 9D Object Pose and Size Estimation.
CoRR, 2024

IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
ERRA: An Embodied Representation and Reasoning Architecture for Long-Horizon Language-Conditioned Manipulation Tasks.
IEEE Robotics Autom. Lett., June, 2023

Learn to Grasp Via Intention Discovery and Its Application to Challenging Clutter.
IEEE Robotics Autom. Lett., 2023

Flipbot: Learning Continuous Paper Flipping via Coarse-to-Fine Exteroceptive-Proprioceptive Exploration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Real-Time Collision-Free Grasp Pose Detection With Geometry-Aware Refinement Using High-Resolution Volume.
IEEE Robotics Autom. Lett., 2022

Uncertainty-based Exploring Strategy in Densely Cluttered Scenes for Vacuum Cup Grasping.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Open-world Semantic Segmentation for LIDAR Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

Volumetric-based Contact Point Detection for 7-DoF Grasping.
Proceedings of the Conference on Robot Learning, 2022

2021
GCCN: Geometric Constraint Co-attention Network for 6D Object Pose Estimation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Deep Metric Learning for Open World Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Open-set 3D Object Detection.
Proceedings of the International Conference on 3D Vision, 2021

2020
CCAN: Constraint Co-Attention Network for Instance Grasping.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Grasping Novel Objects by Semi-supervised Domain Adaptation.
Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

MetaGrasp: Data Efficient Grasping by Affordance Interpreter Network.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Fusing Object Context to Detect Functional Area for Cognitive Robots.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018


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