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08/03/2023
Predicting Ki67, ER, PR, and HER2 Statuses from H E-stained Breast Cancer Images
Despite the advances in machine learning and digital pathology, it is no...
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07/25/2023
TMR-RD: Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection
Semi-supervised object detection (SSOD) can incorporate limited labeled ...
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06/22/2023
Document Image Cleaning using Budget-Aware Black-Box Approximation
Recent work has shown that by approximating the behaviour of a non-diffe...
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05/23/2023
Towards Early Prediction of Human iPSC Reprogramming Success
This paper presents advancements in automated early-stage prediction of ...
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03/06/2023
Weakly Supervised Realtime Dynamic Background Subtraction
Background subtraction is a fundamental task in computer vision with num...
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11/23/2022
Crown-CAM: Reliable Visual Explanations for Tree Crown Detection in Aerial Images
Visual explanation of "black-box" models has enabled researchers and exp...
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10/07/2022
Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review
Bark beetle outbreaks can result in a devastating impact on forest ecosy...
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08/28/2022
Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field
This study proposes an end-to-end unsupervised diffeomorphic deformable ...
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08/16/2022
Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices
The focus of this paper is a proof of concept, machine learning (ML) pip...
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07/15/2022
Classification of Bark Beetle-Induced Forest Tree Mortality using Deep Learning
Bark beetle outbreaks can dramatically impact forest ecosystems and serv...
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07/10/2022
Learning-based Monocular 3D Reconstruction of Birds: A Contemporary Survey
In nature, the collective behavior of animals, such as flying birds is d...
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02/10/2022
Dynamic Background Subtraction by Generative Neural Networks
Background subtraction is a significant task in computer vision and an e...
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02/01/2022
Towards Positive Jacobian: Learn to Postprocess Diffeomorphic Image Registration with Matrix Exponential
We present a postprocessing layer for deformable image registration to m...
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02/01/2022
A training-free recursive multiresolution framework for diffeomorphic deformable image registration
Diffeomorphic deformable image registration is one of the crucial tasks ...
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12/18/2021
GPEX, A Framework For Interpreting Artificial Neural Networks
Machine learning researchers have long noted a trade-off between interpr...
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10/15/2021
Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction
Dynamic model pruning is a recent direction that allows for the inferenc...
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05/17/2021
Unknown-box Approximation to Improve Optical Character Recognition Performance
Optical character recognition (OCR) is a widely used pattern recognition...
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08/10/2020
Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention
CNNs, initially inspired by human vision, differ in a key way: they samp...
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07/27/2020
Ordinary Differential Equation and Complex Matrix Exponential for Multi-resolution Image Registration
Autograd-based software packages have recently renewed interest in image...
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07/11/2020
To filter prune, or to layer prune, that is the question
Recent advances in pruning of neural networks have made it possible to r...
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03/20/2020
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network
The detection performance of small objects in remote sensing images is n...
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01/27/2020
DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration
In this work, we present a novel unsupervised image registration algorit...
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10/24/2019
Animal Detection in Man-made Environments
Automatic detection of animals that have strayed into human inhabited ar...
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05/13/2019
Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning
Convolutional neural networks (CNNs) have emerged as the state-of-the-ar...
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01/14/2019
River Ice Segmentation with Deep Learning
This paper deals with the problem of computing surface ice concentration...
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12/02/2018
End-to-end Learning of Convolutional Neural Net and Dynamic Programming for Left Ventricle Segmentation
Differentiable programming is able to combine different functions or pro...
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10/07/2018
Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection
Automated cell detection and localization from microscopy images are sig...
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08/03/2018
Online Illumination Invariant Moving Object Detection by Generative Neural Network
Moving object detection (MOD) is a significant problem in computer visio...
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01/25/2018
Generative Adversarial Networks using Adaptive Convolution
Most existing GANs architectures that generate images use transposed con...
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08/10/2017
Cell Detection with Deep Convolutional Neural Network and Compressed Sensing
The ability to automatically detect certain types of cells or cellular s...
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03/15/2017
Face Recognition using Multi-Modal Low-Rank Dictionary Learning
Face recognition has been widely studied due to its importance in differ...
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12/05/2016
Object Classification with Joint Projection and Low-rank Dictionary Learning
For an object classification system, the most critical obstacles towards...
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11/27/2016
Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net
Deformable registration is ubiquitous in medical image analysis. Many de...
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11/16/2016
Convolutional Gated Recurrent Networks for Video Segmentation
Semantic segmentation has recently witnessed major progress, where fully...
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06/01/2016
Recurrent Fully Convolutional Networks for Video Segmentation
Image segmentation is an important step in most visual tasks. While conv...
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03/24/2016