Li Yi

Orcid: 0000-0002-9319-0354

Affiliations:
  • Tsinghua University, China


According to our database1, Li Yi authored at least 59 papers between 2014 and 2024.

Collaborative distances:

Timeline

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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

4DRecons: 4D Neural Implicit Deformable Objects Reconstruction from a single RGB-D Camera with Geometrical and Topological Regularizations.
CoRR, 2024

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

GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation, Demonstration, and Imitation.
CoRR, 2024

DreamLLM: Synergistic Multimodal Comprehension and Creation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

ShapeLLM: Universal 3D Object Understanding for Embodied Interaction.
Proceedings of the Computer Vision - ECCV 2024, 2024

TACO: Benchmarking Generalizable Bimanual Tool-ACtion-Object Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
ArrangementNet: Learning Scene Arrangements for Vectorized Indoor Scene Modeling.
ACM Trans. Graph., August, 2023

TransTouch: Learning Transparent Objects Depth Sensing Through Sparse Touches.
IROS, 2023

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining.
Proceedings of the International Conference on Machine Learning, 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

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
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

LeaF: Learning Frames for 4D Point Cloud Sequence Understanding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis.
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

JacobiNeRF: NeRF Shaping with Mutual Information Gradients.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Semi-Weakly Supervised Object Kinematic Motion Prediction.
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

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
Morig: Motion-Aware Rigging of Character Meshes from Point Clouds.
Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding.
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

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

APES: Articulated Part Extraction from Sprite Sheets.
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

Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction.
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

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

PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive Multimodal Fusion with TupleInfoNCE.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds.
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

2020
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding.
CoRR, 2020

Compositionally Generalizable 3D Structure Prediction.
CoRR, 2020

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

StructEdit: Learning Structural Shape Variations.
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

AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
StructureNet: hierarchical graph networks for 3D shape generation.
ACM Trans. Graph., 2019

CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss.
CoRR, 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

PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Supervised Fitting of Geometric Primitives to 3D Point Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

GeoNet: Deep Geodesic Networks for Point Cloud Analysis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep part induction from articulated object pairs.
ACM Trans. Graph., 2018

Beyond Holistic Object Recognition: Enriching Image Understanding With Part States.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Learning hierarchical shape segmentation and labeling from online repositories.
ACM Trans. Graph., 2017

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.
CoRR, 2017

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
A scalable active framework for region annotation in 3D shape collections.
ACM Trans. Graph., 2016

Beyond Holistic Object Recognition: Enriching Image Understanding with Part States.
CoRR, 2016

2015
ShapeNet: An Information-Rich 3D Model Repository.
CoRR, 2015

2014
3D-Assisted Image Feature Synthesis for Novel Views of an Object.
CoRR, 2014


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