He Wang

Orcid: 0000-0002-3365-4620

Affiliations:
  • Peking University, Center on Frontiers of Computing Studies, Beijing, China
  • Stanford University, Department of Computer Science, CA, USA (former)


According to our database1, He Wang authored at least 64 papers between 2019 and 2024.

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Bibliography

2024
Enhancing Generalizable 6D Pose Tracking of an In-Hand Object With Tactile Sensing.
IEEE Robotics Autom. Lett., February, 2024

DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes.
CoRR, 2024

D3RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic Manipulation.
CoRR, 2024

RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation.
CoRR, 2024

ShapeLLM: Universal 3D Object Understanding for Embodied Interaction.
CoRR, 2024

NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation.
CoRR, 2024

ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation.
CoRR, 2024

GAMMA: Graspability-Aware Mobile MAnipulation Policy Learning based on Online Grasping Pose Fusion.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Category-Level Multi-Part Multi-Joint 3D Shape Assembly.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
MIPS-Fusion: Multi-Implicit-Submaps for Scalable and Robust Online Neural RGB-D Reconstruction.
ACM Trans. Graph., December, 2023

ASRO-DIO: Active Subspace Random Optimization Based Depth Inertial Odometry.
IEEE Trans. Robotics, April, 2023

SAGE: Bridging Semantic and Actionable Parts for GEneralizable Articulated-Object Manipulation under Language Instructions.
CoRR, 2023

Make a Donut: Language-Guided Hierarchical EMD-Space Planning for Zero-shot Deformable Object Manipulation.
CoRR, 2023

STOPNet: Multiview-based 6-DoF Suction Detection for Transparent Objects on Production Lines.
CoRR, 2023

FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation.
CoRR, 2023

Task-Oriented Dexterous Grasp Synthesis via Differentiable Grasp Wrench Boundary Estimator.
CoRR, 2023

Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution.
CoRR, 2023

LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

GraspNeRF: Multiview-based 6-DoF Grasp Detection for Transparent and Specular Objects Using Generalizable NeRF.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Full-Body Articulated Human-Object Interaction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning Category-Level Generalizable Object Manipulation Policy Via Generative Adversarial Self-Imitation Learning From Demonstrations.
IEEE Robotics Autom. Lett., 2022

CHAIRS: Towards Full-Body Articulated Human-Object Interaction.
CoRR, 2022

PartAfford: Part-level Affordance Discovery from 3D Objects.
CoRR, 2022

Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects.
Proceedings of the Computer Vision - ECCV 2022, 2022

CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-Robot Active Mapping via Neural Bipartite Graph Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Domain Adaptation on Point Clouds via Geometry-Aware Implicits.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ADeLA: Automatic Dense Labeling with Attention for Viewpoint Shift in Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Projective Manifold Gradient Layer for Deep Rotation Regression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation.
CoRR, 2021

ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation.
CoRR, 2021

Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration.
CoRR, 2020

Object-Centric Multi-View Aggregation.
CoRR, 2020

Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks.
CoRR, 2020

Predicting the Physical Dynamics of Unseen 3D Objects.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions.
Proceedings of the Computer Vision - ECCV 2020, 2020

Curriculum DeepSDF.
Proceedings of the Computer Vision - ECCV 2020, 2020

SAPIEN: A SimulAted Part-Based Interactive ENvironment.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Category-Level Articulated Object Pose Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning Generalizable Physical Dynamics of 3D Rigid Objects.
CoRR, 2019

Learning a Generative Model for Multi-Step Human-Object Interactions from Videos.
Comput. Graph. Forum, 2019

GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Generalizable Final-State Dynamics of 3D Rigid Objects.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019


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