Mingdong Wu
11 papers · 2022–2025 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Deep Learning
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Artificial Intelligence
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Computer Vision
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Robotics
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Analysis
(3)
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Reinforcement Learning
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Applications Β· Reinforcement Learning
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Computer Science
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Machine Learning
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Mathematics & Optimization
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Keywords
diffusion model
(4)
gradient field
(2)
demand-driven navigation
(2)
reinforcement learning
(2)
dexterous manipulation
(2)
robotic manipulation
(1)
dexterous grasping
(1)
model-based planning
(1)
point cloud
(1)
attention mechanism
(1)
3d vision
(1)
policy learning
(1)
visual navigation
(1)
embodied ai
(1)
imitation learning
(1)
score matching
(1)
gradient descent
(1)
pose estimation
(1)
3d human pose estimation
(1)
robotic grasping
(1)
Papers
AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning
ICLR 2025
CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World
RSS 2025
GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing
ICCV 2025
UniTac2Pose: A Unified Approach Learned in Simulation for Category-level Visuotactile In-hand Pose Estimation
CoRL 2025
MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation
NeurIPS 2024
Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking
ECCV 2024
Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation
NeurIPS 2023
Generative Category-level Object Pose Estimation via Diffusion Models
NeurIPS 2023
GFPose: Learning 3D Human Pose Prior With Gradient Fields
CVPR 2023
Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
NeurIPS 2023
TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification
NeurIPS 2022