Ning Tan
41 papers 232 citations h-index 3 2009–2026
HybridGen: VLM-Guided Hybrid Planning for Scalable Data Generation of Imitation Learning
The acquisition of large-scale and diverse demonstration data are essential for improving robotic imitation learning generalization. However, generating such data for complex manipulations is...
Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network
Accurate segmentation of retinal vessels is a basic step in Diabetic retinopathy(DR) detection. Most methods based on deep convolutional neural network (DCNN) have small receptive fields, and...
Retinal Vessel Segmentation Based on Conditional Deep Convolutional Generative Adversarial Networks
The segmentation of retinal vessels is of significance for doctors to diagnose the fundus diseases. However, existing methods have various problems in the segmentation of the retinal vessels, such...
Approximating CSPs with Global Cardinality Constraints Using SDP Hierarchies
This work is concerned with approximating constraint satisfaction problems (CSPs) with an additional global cardinality constraints. For example, \maxcut is a boolean CSP where the input is a...
Analytic Robot Self-Model: Learning Screw-Axis Kinematics for Rendering and Model-Based Control
Visual self-modelling lets robots learn body models from observations, but such models usually encode kinematics implicitly rather than exposing metric joint parameters for computation and...
PrT-Flow: Probability-Tractable Flow Matching for Reinforcement Learning
Diffusion models and Flow Matching can represent flexible distributions over robot actions, but many reinforcement learning algorithms also require the probability of each action. We introduce...