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07/18/2023
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
Multiple Instance Learning (MIL) has been widely applied to medical imag...
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05/08/2023
Atmospheric Turbulence Correction via Variational Deep Diffusion
Atmospheric Turbulence (AT) correction is a challenging restoration task...
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05/07/2023
Video-Specific Query-Key Attention Modeling for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to identify and loca...
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03/29/2023
The secret of immersion: actor driven camera movement generation for auto-cinematography
Immersion plays a vital role when designing cinematic creations, yet the...
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01/20/2023
DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels
Propose: To present DeepCOVID-Fuse, a deep learning fusion model to pred...
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07/28/2022
A Deep Generative Approach to Oversampling in Ptychography
Ptychography is a well-studied phase imaging method that makes non-invas...
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05/05/2022
Compressive Ptychography using Deep Image and Generative Priors
Ptychography is a well-established coherent diffraction imaging techniqu...
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04/11/2022
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space
Despite the surge of deep learning in the past decade, some users are sk...
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03/12/2022
Discrete, recurrent, and scalable patterns in human judgement underlie affective picture ratings
Operant keypress tasks, where each action has a consequence, have been a...
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01/22/2022
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes
Generative Adversarial Networks (GANs) have shown promise in augmenting ...
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10/29/2021
Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks
Lack of explainability in artificial intelligence, specifically deep neu...
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05/18/2021
Reinforcement Learning for Adaptive Video Compressive Sensing
We apply reinforcement learning to video compressive sensing to adapt th...
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05/12/2021
Removing Blocking Artifacts in Video Streams Using Event Cameras
In this paper, we propose EveRestNet, a convolutional neural network des...
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03/23/2021
Adaptive Illumination based Depth Sensing using Deep Learning
Dense depth map capture is challenging in existing active sparse illumin...
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03/07/2021
Snapshot Compressive Imaging: Principle, Implementation, Theory, Algorithms and Applications
Capturing high-dimensional (HD) data is a long-term challenge in signal ...
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12/09/2020
E3D: Event-Based 3D Shape Reconstruction
3D shape reconstruction is a primary component of augmented/virtual real...
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12/08/2020
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network
Computed tomography is widely used to examine internal structures in a n...
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08/14/2020
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes
We propose a mesh-based technique to aid in the classification of Alzhei...
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01/29/2020
Examining the Benefits of Capsule Neural Networks
Capsule networks are a recently developed class of neural networks that ...
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12/30/2019
Self-Supervised Fine-tuning for Image Enhancement of Super-Resolution Deep Neural Networks
While Deep Neural Networks (DNNs) trained for image and video super-reso...
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11/05/2019
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
In the last years, crowdsourcing is transforming the way classification ...
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09/06/2019
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network
Objective: The aim of this study is to develop an automated classificati...
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07/02/2019
A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models
The popularity of high and ultra-high definition displays has led to the...
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12/27/2018
Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction
This paper presents an adaptive image sampling algorithm based on Deep L...
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11/13/2018
Neuroimaging Modality Fusion in Alzheimer's Classification Using Convolutional Neural Networks
Automated methods for Alzheimer's disease (AD) classification have the p...
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09/04/2018
Computational multifocal microscopy
Despite recent advances, high performance single-shot 3D microscopy rema...
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06/14/2018
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution
Video super-resolution has become one of the most critical problems in v...
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05/07/2018
DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data
In this paper, benefiting from the strong ability of deep neural network...
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02/04/2018
Efficient Video Object Segmentation via Network Modulation
Video object segmentation targets at segmenting a specific object throug...
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11/22/2017
Photometric Stereo by UV-Induced Fluorescence to Detect Protrusions on Georgia O'Keeffe's Paintings
A significant number of oil paintings produced by Georgia O'Keeffe (1887...
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10/27/2016
Compressive Holographic Video
Compressed sensing has been discussed separately in spatial and temporal...
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07/12/2016
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
In this paper, we propose a novel encoder-decoder neural network model r...
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03/16/2016
Deep Fully-Connected Networks for Video Compressive Sensing
In this work we present a deep learning framework for video compressive ...
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02/25/2011