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09/08/2023
Mapping EEG Signals to Visual Stimuli: A Deep Learning Approach to Match vs. Mismatch Classification
Existing approaches to modeling associations between visual stimuli and ...
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08/22/2023
LCCo: Lending CLIP to Co-Segmentation
This paper studies co-segmenting the common semantic object in a set of ...
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07/19/2023
LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network
Recovering sharp images from dual-pixel (DP) pairs with disparity-depend...
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05/13/2023
Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training
In recent years, the growing demand for medical imaging diagnosis has pl...
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01/05/2023
Event Camera Data Pre-training
This paper proposes a pre-trained neural network for handling event came...
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10/30/2022
ISG: I can See Your Gene Expression
This paper aims to predict gene expression from a histology slide image ...
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10/30/2022
Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction
Spatial transcriptomics (ST) is essential for understanding diseases and...
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10/09/2022
Less is More: Facial Landmarks can Recognize a Spontaneous Smile
Smile veracity classification is a task of interpreting social interacti...
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08/29/2022
A Missing Value Filling Model Based on Feature Fusion Enhanced Autoencoder
With the advent of the big data era, the data quality problem is becomin...
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06/15/2022
Unsupervised Capsule Networks of High-Dimension Point Clouds classification
Three-dimensional point clouds learning is widely applied, but the point...
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05/18/2022
K-textures, a self supervised hard clustering deep learning algorithm for satellite images segmentation
Deep learning self supervised algorithms that can segment an image in a ...
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03/23/2022
DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers
De novo peptide sequencing aims to recover amino acid sequences of a pep...
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12/09/2021
Feature Modulation to Improve Struggle Detection in Web Search: A Psychological Approach
Searcher struggle is important feedback to Web search engines. Existing ...
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09/20/2021
Prediction of properties of metal alloy materials based on machine learning
Density functional theory and its optimization algorithm are the main me...
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08/11/2021
Seismic wave propagation and inversion with Neural Operators
Seismic wave propagation forms the basis for most aspects of seismologic...
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07/27/2021
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation
In the classic setting of unsupervised domain adaptation (UDA), the labe...
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07/01/2021
Molecular structure prediction based on graph convolutional networks
Due to the important application of molecular structure in many fields, ...
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02/18/2021
SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering
Medical visual question answering (Med-VQA) has tremendous potential in ...
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11/30/2020
S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation
Interactive facial image manipulation attempts to edit single and multip...
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10/07/2020
RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recognition
Smiles play a vital role in the understanding of social interactions wit...
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05/09/2020
High order mixed finite elements with mass lumping for elasticity on triangular grids
A family of conforming mixed finite elements with mass lumping on triang...
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08/31/2019
Learning with Noisy Labels for Sentence-level Sentiment Classification
Deep neural networks (DNNs) can fit (or even over-fit) the training data...
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06/24/2019
Fast Calculation of Probabilistic Optimal Power Flow: A Deep Learning Approach
Probabilistic optimal power flow (POPF) is an important analytical tool ...
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06/14/2019
Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach
Probabilistic power flow (PPF) plays a critical role in the analysis of ...
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06/08/2019
Forward and Backward Knowledge Transfer for Sentiment Classification
This paper studies the problem of learning a sequence of sentiment class...
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05/31/2019
Spectral Perturbation Meets Incomplete Multi-view Data
Beyond existing multi-view clustering, this paper studies a more realist...
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12/12/2018
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework
Air quality forecasting has been regarded as the key problem of air poll...
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05/19/2017
ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI
Compressive sensing (CS) is an effective approach for fast Magnetic Reso...
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03/04/2014
