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Found 14 papers, 4 papers with code
Generalized Visual Relation Detection with Diffusion Models
To this end, we propose to model visual relations as continuous embeddings, and design diffusion models to achieve generalized VRD in a conditional generative manner, termed Diff-VRD.
Think Twice, Click Once: Enhancing GUI Grounding via Fast and Slow Systems
This structured decomposition enables systematic understanding of both interface layouts and visual relationships.
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result Fusion
In medical imaging, precise annotation of lesions or organs is often required.
Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces
Rational design of next-generation functional materials relied on quantitative predictions of their electronic structures beyond single building blocks.
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
In this framework, we deploy a diffusion model on the server to integrate the diverse parameter distributions and propose a parameter inversion method to efficiently generate a set of personalized parameters for each client.
Negative Prototypes Guided Contrastive Learning for WSOD
Weakly Supervised Object Detection (WSOD) with only image-level annotation has recently attracted wide attention.
Efficient Discrete Physics-informed Neural Networks for Addressing Evolutionary Partial Differential Equations
Physics-informed neural networks (PINNs) have shown promising potential for solving partial differential equations (PDEs) using deep learning.
Machine Learning Clifford invariants of ADE Coxeter elements
This provides the perfect setup for machine learning, and indeed we see that the datasets can be machine learned to very high accuracy.
Temporal Consistent Automatic Video Colorization via Semantic Correspondence
Extensive experiments demonstrate that our method outperforms other methods in maintaining temporal consistency both qualitatively and quantitatively.
SPColor: Semantic Prior Guided Exemplar-based Image Colorization
Previous methods search for correspondence across the entire reference image, and this type of global matching is easy to get mismatch.
Exemplar-based Video Colorization with Long-term Spatiotemporal Dependency
Exemplar-based video colorization is an essential technique for applications like old movie restoration.
Bioinformatic analysis for structure and function of Glutamine synthetase(GS)
The structure domain was analyzed by Blast.
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions
Although many reinforcement learning methods have been proposed for learning the optimal solutions in single-agent continuous-action domains, multiagent coordination domains with continuous actions have received relatively few investigations.
SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes
In multiagent environments, the capability of learning is important for an agent to behave appropriately in face of unknown opponents and dynamic environment.
