Minghua Liu
16 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Diamond π£ Hot Topic Early Bird
π¬
Deep Specialist
(10)
π€
Dynamic Duo
(15)
π§¬
Topic Evolution
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(80)
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Century Club Β· Bronze
Top co-authors
Research topics
Computer Vision
(10)
Analysis
(10)
Deep Learning
(9)
Machine Learning
(7)
Artificial Intelligence
(5)
Generation
(4)
Learning Types Β· Deep Learning
(4)
Models
(4)
Reinforcement Learning
(3)
Core AI
(3)
Core Methods
(3)
Learning Types Β· Machine Learning
(3)
Architectures
(2)
Learning Paradigms
(2)
Methods
(2)
Keywords
3d reconstruction
(4)
diffusion model
(3)
point cloud
(2)
signed distance function
(2)
robot manipulation
(2)
contrastive learning
(2)
zero-shot classification
(2)
part segmentation
(2)
zero-shot learning
(2)
3d point cloud
(2)
few-shot learning
(1)
out-of-distribution generalization
(1)
robot learning
(1)
part detection
(1)
metric learning
(1)
multimodal learning
(1)
knowledge distillation
(1)
generative model
(1)
hierarchical decomposition
(1)
transfer learning
(1)
Papers
PartField: Learning 3D Feature Fields for Part Segmentation and Beyond
ICCV 2025
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
ICLR 2024
MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction Model
NeurIPS 2024
One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion
CVPR 2024
SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views
ECCV 2024
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability
ICCV 2023
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization
NeurIPS 2023
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
NeurIPS 2023
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
CVPR 2023
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds
CoRL 2022
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
ECCV 2022
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates
CVPR 2021
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance
ECCV 2020
Morphing and Sampling Network for Dense Point Cloud Completion
AAAI 2020
Multi-task Batch Reinforcement Learning with Metric Learning
NeurIPS 2020
SAPIEN: A SimulAted Part-Based Interactive ENvironment
CVPR 2020