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08/10/2023
HGDNet: A Height-Hierarchy Guided Dual-Decoder Network for Single View Building Extraction and Height Estimation
Unifying the correlative single-view satellite image building extraction...
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08/10/2023
Fine-grained building roof instance segmentation based on domain adapted pretraining and composite dual-backbone
The diversity of building architecture styles of global cities situated ...
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07/18/2023
qecGPT: decoding Quantum Error-correcting Codes with Generative Pre-trained Transformers
We propose a general framework for decoding quantum error-correcting cod...
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07/10/2023
FreeDrag: Point Tracking is Not What You Need for Interactive Point-based Image Editing
To serve the intricate and varied demands of image editing, precise and ...
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06/01/2023
BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image
Understanding and modeling the 3D scene from a single image is a practic...
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04/07/2023
V3Det: Vast Vocabulary Visual Detection Dataset
Recent advances in detecting arbitrary objects in the real world are tra...
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03/29/2022
Semi-Supervised Image-to-Image Translation using Latent Space Mapping
Recent image-to-image translation works have been transferred from super...
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06/24/2021
Tensor networks for unsupervised machine learning
Modeling the joint distribution of high-dimensional data is a central ta...
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06/01/2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation
Recent semi-supervised learning (SSL) methods are commonly based on pseu...
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05/10/2021
Boltzmann machines as two-dimensional tensor networks
Restricted Boltzmann machines (RBM) and deep Boltzmann machines (DBM) ar...
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01/26/2021
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
Self-training is a competitive approach in domain adaptive segmentation,...
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12/03/2020
Full-Resolution Correspondence Learning for Image Translation
We present the full-resolution correspondence learning for cross-domain ...
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09/14/2020
Old Photo Restoration via Deep Latent Space Translation
We propose to restore old photos that suffer from severe degradation thr...
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08/18/2020
Contact Area Detector using Cross View Projection Consistency for COVID-19 Projects
The ability to determine what parts of objects and surfaces people touch...
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04/20/2020
Bringing Old Photos Back to Life
We propose to restore old photos that suffer from severe degradation thr...
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04/12/2020
Cross-domain Correspondence Learning for Exemplar-based Image Translation
We present a general framework for exemplar-based image translation, whi...
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11/01/2019
Phase transitions and optimal algorithms in the semi-supervised classfications in graphs: from belief propagation to convolution neural networks
By analyzing Bayesian inference of generative model for random networks ...
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06/26/2019
Neural-network based general method for statistical mechanics on sparse systems
We propose a general method for solving statistical mechanics problems d...
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04/12/2019
A streaming feature-based compression method for data from instrumented infrastructure
An increasing amount of civil engineering applications are utilising dat...
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01/08/2019
Tree Tensor Networks for Generative Modeling
Matrix product states (MPS), a tensor network designed for one-dimension...
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12/13/2018
Shortcut Matrix Product States and its applications
Matrix Product States (MPS), also known as Tensor Train (TT) decompositi...
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09/27/2018
Solving Statistical Mechanics using Variational Autoregressive Networks
We propose a general framework for solving statistical mechanics of syst...
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01/30/2018
Weighted Community Detection and Data Clustering Using Message Passing
Grouping objects into clusters based on similarities or weights between ...
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10/04/2017
Spectral estimation of the percolation transition in clustered networks
There have been several spectral bounds for the percolation transition i...
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09/06/2017
Unsupervised Generative Modeling Using Matrix Product States
Generative modeling, which learns joint probability distribution from tr...
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09/09/2016
Robust Spectral Detection of Global Structures in the Data by Learning a Regularization
Spectral methods are popular in detecting global structures in the given...
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06/19/2015
Detectability thresholds and optimal algorithms for community structure in dynamic networks
We study the fundamental limits on learning latent community structure i...
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01/15/2015
Evaluating accuracy of community detection using the relative normalized mutual information
The Normalized Mutual Information (NMI) has been widely used to evaluate...
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04/30/2014
Phase transitions in semisupervised clustering of sparse networks
Predicting labels of nodes in a network, such as community memberships o...
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03/23/2014
Scalable detection of statistically significant communities and hierarchies, using message-passing for modularity
Modularity is a popular measure of community structure. However, maximiz...
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06/24/2013
Spectral redemption: clustering sparse networks
Spectral algorithms are classic approaches to clustering and community d...
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07/17/2012
Model Selection for Degree-corrected Block Models
The proliferation of models for networks raises challenging problems of ...
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07/10/2012
Comparative Study for Inference of Hidden Classes in Stochastic Block Models
Inference of hidden classes in stochastic block model is a classical pro...
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02/12/2012