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I am Weihao Yuan (原玮浩),a PhD student 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 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 Deep Reinforcement Learning, Robotic Motion Planning, 3D Vision Depth Estimation

My CV


News:

2024-02-27
Three papers were 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
RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D
GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors

2023-03-06
One paper was accepted to IEEE Robotics and Automation Letters (RA-L):
DRO: Deep Recurrent Optimizer for Video to Depth

2023-01-21
Two papers were accepted to International Conference on Learning Representations (ICLR 2023):
3D Former: Monocular Scene Reconstruction with 3D SDF Transformers
DENSE RGB SLAM WITH NEURAL IMPLICIT MAPS

2022-06-01
Our paper “RCP: Recurrent Closest Point for Scene Flow Estimation on 3D Point Clouds” was selected as an oral presentation at IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022).

2022-03-03
Two papers were 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

2021-07-01
One paper was 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 were 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 was accepted to IEEE Robotics and Automation Letters (RA-L):
MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion

2020-01-22
One paper was accepted to IEEE International Conference on Robotics and Automation (ICRA 2020):
MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion

2019-09-09
One paper was 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 was 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 was 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 was 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