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Found 14 papers, 0 papers with code
Topic Modeling for Maternal Health Using Reddit
This paper applies topic modeling to understand maternal health topics, concerns, and questions expressed in online communities on social networking sites.
SGL: Structure Guidance Learning for Camera Localization
Camera localization is a classical computer vision task that serves various Artificial Intelligence and Robotics applications.
IH-ViT: Vision Transformer-based Integrated Circuit Appear-ance Defect Detection
For the problems of low recognition rate and slow recognition speed of traditional detection methods in IC appearance defect detection, we propose an IC appearance defect detection algo-rithm IH-ViT.
A Real-Time Fusion Framework for Long-term Visual Localization
In this paper, we present an efficient client-server visual localization architecture that fuses global and local pose estimations to realize promising precision and efficiency.
Fixed-Point Centrality for Networks
This centrality family is defined via the fixed point of permutation equivariant mappings related to the underlying network.
Transmission Neural Networks: From Virus Spread Models to Neural Networks
This work connects models for virus spread on networks with their equivalent neural network representations.
Stationary Cost Nodes in Infinite Horizon LQG-GMFGs
For a class of LQG-GMFGs, analytical expressions are derived for the infinite horizon Nash values at the nodes of the infinite graph.
Pose Refinement with Joint Optimization of Visual Points and Lines
High-precision camera re-localization technology in a pre-established 3D environment map is the basis for many tasks, such as Augmented Reality, Robotics and Autonomous Driving.
Retrieval and Localization with Observation Constraints
The localization pipeline is designed as a coarse-to-fine paradigm.
Self-semi-supervised Learning to Learn from NoisyLabeled Data
The remarkable success of today's deep neural networks highly depends on a massive number of correctly labeled data.
Visual Localization Using Semantic Segmentation and Depth Prediction
In this paper, we propose a monocular visual localization pipeline leveraging semantic and depth cues.
LQG Graphon Mean Field Games: Analysis via Graphon Invariant Subspaces
A graphon time-varying dynamical system model is first formulated to study the finite and then limit problems of linear quadratic Gaussian graphon mean field games (LQG-GMFG).
Subspace Decomposition for Graphon LQR: Applications to VLSNs of Harmonic Oscillators
This paper provides a solution method based on invariant subspace decompositions for a class of graphon linear quadratic regulation (LQR) problems where the local dynamics share homogeneous parameters but the graphon couplings may be heterogeneous among the coupled agents.
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks
Our approach can effectively improve the structural sparsity of residual models.
