Weihao Yuan

Orcid: 0000-0002-1362-3747

Affiliations:
  • Alibaba Group, Hangzhou, China


According to our database1, Weihao Yuan authored at least 35 papers between 2018 and 2024.

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Timeline

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Bibliography

2024
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images.
ACM Trans. Graph., December, 2024

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

LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning.
CoRR, 2024

HIVE: HIerarchical Volume Encoding for Neural Implicit Surface Reconstruction.
CoRR, 2024

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

An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes Using Pre-Trained Text-to-Image Models.
CoRR, 2024

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

VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model.
CoRR, 2024

Sketch2NeRF: Multi-view Sketch-guided Text-to-3D Generation.
CoRR, 2024

High-Fidelity 3D Textured Shapes Generation by Sparse Encoding and Adversarial Decoding.
Proceedings of the Computer Vision - ECCV 2024, 2024

An Optimization Framework to Enforce Multi-view Consistency for Texturing 3D Meshes.
Proceedings of the Computer Vision - ECCV 2024, 2024

Freditor: High-Fidelity and Transferable NeRF Editing by Frequency Decomposition.
Proceedings of the Computer Vision - ECCV 2024, 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

RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
DRO: Deep Recurrent Optimizer for Video to Depth.
IEEE Robotics Autom. Lett., May, 2023

$\mathcal {S}^{2}$Net: Accurate Panorama Depth Estimation on Spherical Surface.
IEEE Robotics Autom. Lett., 2023

S<sup>2</sup>Net: Accurate Panorama Depth Estimation on Spherical Surface.
CoRR, 2023

Monocular Scene Reconstruction with 3D SDF Transformers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dense RGB Slam with Neural Implicit Maps.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
RCP: Recurrent Closest Point for Scene Flow Estimation on 3D Point Clouds.
CoRR, 2022

NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation.
CoRR, 2022

Neural Window Fully-connected CRFs for Monocular Depth Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

RCP: Recurrent Closest Point for Point Cloud.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cluster Contrast for Unsupervised Person Re-identification.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
DRO: Deep Recurrent Optimizer for Structure-from-Motion.
CoRR, 2021

Stereo Matching by Self-supervision of Multiscopic Vision.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
MFuseNet: Robust Depth Estimation With Learned Multiscopic Fusion.
IEEE Robotics Autom. Lett., 2020

Active Perception with A Monocular Camera for Multiscopic Vision.
CoRR, 2020

Self-supervised Object Tracking with Cycle-consistent Siamese Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
End-to-end nonprehensile rearrangement with deep reinforcement learning and simulation-to-reality transfer.
Robotics Auton. Syst., 2019

Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation.
Proceedings of the International Conference on Robotics and Automation, 2019

Towards Learning to Detect and Predict Contact Events on Vision-based Tactile Sensors.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018


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