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09/13/2023
Instance Adaptive Prototypical Contrastive Embedding for Generalized Zero Shot Learning
Generalized zero-shot learning(GZSL) aims to classify samples from seen ...
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04/21/2023
Deep-Learning-based Fast and Accurate 3D CT Deformable Image Registration in Lung Cancer
Purpose: In some proton therapy facilities, patient alignment relies on ...
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02/18/2023
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images
Deep neural networks have revolutionized the field of supervised learnin...
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10/27/2022
PatchRot: A Self-Supervised Technique for Training Vision Transformers
Vision transformers require a huge amount of labeled data to outperform ...
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09/05/2022
HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease
Automated anomaly detection from medical images, such as MRIs and X-rays...
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08/08/2022
Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data
With the onset of the COVID-19 pandemic, news outlets and social media h...
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03/20/2022
Optical Flow for Video Super-Resolution: A Survey
Video super-resolution is currently one of the most active research topi...
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02/24/2022
Slow-Fast Visual Tempo Learning for Video-based Action Recognition
Action visual tempo characterizes the dynamics and the temporal scale of...
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09/13/2021
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos
Extensive research has demonstrated that deep neural networks (DNNs) are...
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01/20/2021
FedNS: Improving Federated Learning for collaborative image classification on mobile clients
Federated Learning (FL) is a paradigm that aims to support loosely conne...
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01/06/2021
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation
The generalization power of deep-learning models is dependent on rich-la...
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07/20/2020
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers
Researches have shown that deep neural networks are vulnerable to malici...
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07/20/2020
Evaluating a Simple Retraining Strategy as a Defense Against Adversarial Attacks
Though deep neural networks (DNNs) have shown superiority over other tec...
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07/02/2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Machine learning (ML) models are widely used in many domains including m...
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02/24/2020
Variational Wasserstein Barycenters for Geometric Clustering
We propose to compute Wasserstein barycenters (WBs) by solving for Monge...
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01/15/2020
VSEC-LDA: Boosting Topic Modeling with Embedded Vocabulary Selection
Topic modeling has found wide application in many problems where latent ...
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01/14/2020
Recognizing Video Events with Varying Rhythms
Recognizing Video events in long, complex videos with multiple sub-activ...
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01/13/2020
Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition
Typical Magnetic Resonance Imaging (MRI) scan may take 20 to 60 minutes....
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12/02/2018
Plan-Recognition-Driven Attention Modeling for Visual Recognition
Human visual recognition of activities or external agents involves an in...
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11/24/2018
Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval
The research on hashing techniques for visual data is gaining increased ...
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06/15/2018
Unsupervised Deep Image Hashing through Tag Embeddings
Many approaches to semantic image hashing have been formulated as superv...
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02/01/2018
Training Neural Networks by Using Power Linear Units (PoLUs)
In this paper, we introduce "Power Linear Unit" (PoLU) which increases t...
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12/05/2017
Recognizing Plans by Learning Embeddings from Observed Action Distributions
Recent advances in visual activity recognition have raised the possibili...
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11/27/2017
Joint Cuts and Matching of Partitions in One Graph
As two fundamental problems, graph cuts and graph matching have been inv...
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11/14/2017
Capturing Localized Image Artifacts through a CNN-based Hyper-image Representation
Training deep CNNs to capture localized image artifacts on a relatively ...
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05/02/2017
A Strategy for an Uncompromising Incremental Learner
Multi-class supervised learning systems require the knowledge of the ent...
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04/05/2017
Supporting Navigation of Outdoor Shopping Complexes for Visually-impaired Users through Multi-modal Data Fusion
Outdoor shopping complexes (OSC) are extremely difficult for people with...
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04/05/2017
Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color Correlogram Features
All people with diabetes have the risk of developing diabetic retinopath...
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04/05/2017
Investigating Human Factors in Image Forgery Detection
In today's age of internet and social media, one can find an enormous vo...
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04/05/2017
Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection
Traffic congestion is a widespread problem. Dynamic traffic routing syst...
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04/05/2017
Relative Learning from Web Images for Content-adaptive Enhancement
Personalized and content-adaptive image enhancement can find many applic...
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04/05/2017
A Structured Approach to Predicting Image Enhancement Parameters
Social networking on mobile devices has become a commonplace of everyday...
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04/05/2017
A Computational Approach to Relative Aesthetics
Computational visual aesthetics has recently become an active research a...
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04/05/2017
Joint Regression and Ranking for Image Enhancement
Research on automated image enhancement has gained momentum in recent ye...
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04/27/2016
Diving deeper into mentee networks
Modern computer vision is all about the possession of powerful image rep...
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03/24/2015