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11/04/2019
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision
We tackle the problem of Human Locomotion Forecasting, a task for jointl...
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10/08/2019
Bias-Resilient Neural Network
Presence of bias and confounding effects is inarguably one of the most c...
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09/08/2019
Imitation Learning for Human Pose Prediction
Modeling and prediction of human motion dynamics has long been a challen...
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08/27/2019
Self-Supervised Representation Learning via Neighborhood-Relational Encoding
In this paper, we propose a novel self-supervised representation learnin...
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07/30/2019
Confounder-Aware Visualization of ConvNets
With recent advances in deep learning, neuroimaging studies increasingly...
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07/02/2019
Procedure Planning in Instructional Videos
We propose a new challenging task: procedure planning in instructional v...
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06/24/2019
Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography
Chest X-ray radiography is one of the earliest medical imaging technolog...
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06/21/2019
Parameter Identification in Viscoplasticity using Transitional Markov Chain Monte Carlo Method
To evaluate the cyclic behavior under different loading conditions using...
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06/17/2019
Effect of Load Path on Parameter Identification for Plasticity Models using Bayesian Methods
To evaluate the cyclic behavior under different loading conditions using...
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04/24/2019
Segmenting the Future
Predicting the future is an important aspect for decision-making in robo...
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04/11/2019
Variational AutoEncoder For Regression: Application to Brain Aging Analysis
While unsupervised variational autoencoders (VAE) have become a powerful...
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02/11/2019
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis
Resting-state functional connectivity states are often identified as clu...
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01/05/2019
Population-Guided Large Margin Classifier for High-Dimension Low -Sample-Size Problems
Various applications in different fields, such as gene expression analys...
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10/23/2018
Action-Agnostic Human Pose Forecasting
Predicting and forecasting human dynamics is a very interesting but chal...
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10/01/2018
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification
As shown in computer vision, the power of deep learning lies in automati...
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06/13/2018
End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN
In this work, we use a deep learning framework for simultaneous classifi...
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05/24/2018
AVID: Adversarial Visual Irregularity Detection
Real-time detection of irregularities in visual data is very invaluable ...
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02/25/2018
Adversarially Learned One-Class Classifier for Novelty Detection
Novelty detection is the process of identifying the observation(s) that ...
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02/17/2018
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
Major winning Convolutional Neural Networks (CNNs), such as VGGNet, ResN...
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12/13/2015