I am Weihao Yuan (原玮浩), currently a researcher at Alibaba Tongyi Lab. I obtained my PhD in Robotics Institute, Department of Electronic & Computer Engineering, Hong Kong University of Science and Technology (HKUST), supervised by Prof. Michael Yu Wang and co-supervised by Prof. Qifeng Chen. I visited the Robotics, Perception and Learning Lab, Royal Institute of Technology (KTH) for 6 months, supervised by Prof. Danica Kragic . I received my B.S. degree from College of Control Science and Engineering, Zhejiang University, majoring in Automation and minoring in Finance.
My research areas include Embodied AI and 3D Vision.
Email: dr.weihao.yuan (at) gmail.com
News:
2025-06-26
Two paper accepted to International Conference on Computer Vision (ICCV 2025):
- LHM: Animatable Human Reconstruction from a Single Image in One Second
- Dirichlet-Constrained Variational Codebook Learning for Temporally Coherent Video Face Restoration
2025-04-20
One paper accepted to SIGGRAPH 2025:
- LAM: Large Avatar Model for One-shot Animatable Gaussian Head
2025-02-27
Two paper accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2025):
- Motions as Queries: One-Stage Multi-Person Holistic Human Motion Capture
- AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction
2025-01-23
One paper accepted to International Conference on Learning Representations (ICLR 2025):
- LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning
2024-10-10
Two papers accepted to Neural Information Processing Systems (NeurIPS):
- GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation Oral
- MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling
2024-07-30
One paper accepted to SIGGRAPH Asia & ACM Transactions on Graphics (TOG):
- MVImgNet2.0: A Larger-scale Dataset of Multi-view Images
2024-07-10
One paper accepted to IEEE Robotics and Automation Letters (RA-L):
- OV9D: Open-Vocabulary Category-Level 9D Object Pose and Size Estimation
2024-07-05
Three papers accepted to European Conference on Computer Vision (ECCV 2024):
- Freditor: High-Fidelity and Transferable NeRF Editing by Frequency Decomposition
- An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes Using Pre-Trained Text-2-Image Models
- High-Fidelity 3D Textured Shapes Generation by Sparse Encoding and Adversarial Decoding
2024-02-27
Three papers accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2024):
- IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images Highlight
- RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D Highlight
- GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors Oral
2023-03-06
One paper accepted to IEEE Robotics and Automation Letters (RA-L):
- DRO: Deep Recurrent Optimizer for Video to Depth
2023-01-21
Two papers accepted to International Conference on Learning Representations (ICLR 2023):
- 3D Former: Monocular Scene Reconstruction with 3D SDF Transformers
- DIM-SLAM: DENSE RGB SLAM WITH NEURAL IMPLICIT MAPS
2022-03-03
Two papers accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022):
- NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation
- RCP: Recurrent Closest Point for Scene Flow Estimation on 3D Point Clouds Oral
2021-07-01
One paper accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021):
- Stereo Matching by Self-supervision of Multiscopic Vision
2020-07-01
Two papers accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020):
- Self-supervised Object Tracking with Cycle-consistent Siamese Networks
- Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting
2020-01-24
One paper accepted to IEEE Robotics and Automation Letters (RA-L):
- MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion
2020-01-22
One paper accepted to IEEE International Conference on Robotics and Automation (ICRA 2020):
- MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion
2019-09-09
One paper accepted to Conference on Robot Learning (CoRL 2019) as oral presentation! (Acceptation rate: 5.3%):
- Toward Learning to Detect and Predict Contact Events on Vision-based Tactile Sensor
2019-06-06
One paper accepted to Robotics and Autonomous Systems (RAS):
- End-to-End Nonprehensile Rearrangement with Deep Reinforcement Learning and Simulation-to-Reality Transfer
2019-02-01
One paper accepted by IEEE International Conference on Robotics and Automation (ICRA 2019), May 20-24, 2019, Montreal, Canada:
- Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation
2018-03-27
I have begun the visiting in KTH Royal Institute of Technology, Storkholm, Sweden, as a visiting researcher for next 6 months, working with Prof. Danica Kragic and Dr. Johannes Andreas Stork.
2018-01-12
One paper accepted to IEEE International Conference on Robotics and Automation (ICRA 2018), May 21-25, 2018, Brisbane, Australia.
- Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning