Wentao Yuan

Orcid: 0000-0002-3836-8877

According to our database1, Wentao Yuan authored at least 21 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Manipulate-Anything: Automating Real-World Robots using Vision-Language Models.
CoRR, 2024

RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics.
CoRR, 2024

Evaluating Robustness of Visual Representations for Object Assembly Task Requiring Spatio-Geometrical Reasoning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Ground-Penetrating Radar (GPR) Attenuation Compensation Based on Spatio-Temporal Neural Network.
IEEE Geosci. Remote. Sens. Lett., 2023

TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place.
Proceedings of the Conference on Robot Learning, 2023

2022
Post-Stack Impedance Inversion Based on Spatio-Temporal Neural Network.
IEEE Geosci. Remote. Sens. Lett., 2022

KD-MVS: Knowledge Distillation Based Self-supervised Learning for MVS.
CoRR, 2022

Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives.
Proceedings of the Computer Vision - ECCV 2022, 2022

KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view Stereo.
Proceedings of the Computer Vision - ECCV 2022, 2022

TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SORNet: Spatial Object-Centric Representations for Sequential Manipulation.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
DeepGMR: Learning Latent Gaussian Mixture Models for Registration.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Flexible Design Method for Microstrip Bandstop, Highpass, and Bandpass Filters Using Similar Defected Ground Structures.
IEEE Access, 2019

2018
Correlation feature-based detector for range distributed target in sea clutter.
EURASIP J. Adv. Signal Process., 2018

Iterative Transformer Network for 3D Point Cloud.
CoRR, 2018

A High-Selective Frequency Selective Surface With Hybrid Unit Cells.
IEEE Access, 2018

Intelligent Shipwreck Search Using Autonomous Underwater Vehicles.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

PCN: Point Completion Network.
Proceedings of the 2018 International Conference on 3D Vision, 2018


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