13 citations · 27 across the 5 of their papers we have counts for
5 papers
Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion
Zuopeng Yang, Tianshu Chu, Xin Lin +4
The recent success of text-to-image generation diffusion models has also revolutionized semantic image editing, enabling the manipulation of images based on query/target texts. Des…
On the Sparse DAG Structure Learning Based on Adaptive Lasso
Danru Xu, Erdun Gao, Wei Huang +3
Learning the underlying Bayesian Networks (BNs), represented by directed acyclic graphs (DAGs), of the concerned events from purely-observational data is a crucial part of evidenti…
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
Erdun Gao, Ignavier Ng, Mingming Gong +5
State-of-the-art causal discovery methods usually assume that the observational data is complete. However, the missing data problem is pervasive in many practical scenarios such as…
FedDAG: Federated DAG Structure Learning
Erdun Gao, Junjia Chen, Li Shen +3
To date, most directed acyclic graphs (DAGs) structure learning approaches require data to be stored in a central server. However, due to the consideration of privacy protection, d…
Adaptive Embedding Pattern for Grayscale-Invariance Reversible Data Hiding
Erdun Gao, Zhibin Pan, Xinyi Gao
In traditional reversible data hiding (RDH) methods, researchers pay attention to enlarge the embedding capacity (EC) and to reduce the embedding distortion (ED). Recently, a compl…