Dimitris Samaras

research

∙ 02/17/2022

Visual attention analysis of pathologists examining whole slide images of Prostate cancer

We study the attention of pathologists as they examine whole-slide image...

Souradeep Chakraborty, et al. ∙

research

∙ 11/23/2021

CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning

Labels are costly and sometimes unreliable. Noisy label learning, semi-s...

Xin Zhang, et al. ∙

research

∙ 08/11/2021

SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery

We present SIDER(Single-Image neural optimization for facial geometric D...

Aggelina Chatziagapi, et al. ∙

research

∙ 08/10/2021

FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation

This paper presents a neural rendering method for controllable portrait ...

ShahRukh Athar, et al. ∙

research

∙ 07/29/2021

Temporal Feature Warping for Video Shadow Detection

While single image shadow detection has been improving rapidly in recent...

Shilin Hu, et al. ∙

research

∙ 06/09/2021

Artificial Intelligence in Drug Discovery: Applications and Techniques

Artificial intelligence (AI) has been transforming the practice of drug ...

Jianyuan Deng, et al. ∙

research

∙ 03/25/2021

Hierarchical Proxy-based Loss for Deep Metric Learning

Proxy-based metric learning losses are superior to pair-based losses due...

Zhibo Yang, et al. ∙

research

∙ 03/18/2021

Topology-Aware Segmentation Using Discrete Morse Theory

In the segmentation of fine-scale structures from natural and biomedical...

Xiaoling Hu, et al. ∙

research

∙ 12/23/2020

Physics-based Shadow Image Decomposition for Shadow Removal

We propose a novel deep learning method for shadow removal. Inspired by ...

Hieu Le, et al. ∙

research

∙ 12/22/2020

Modeling Deep Learning Based Privacy Attacks on Physical Mail

Mail privacy protection aims to prevent unauthorized access to hidden co...

Bingyao Huang, et al. ∙

research

∙ 12/14/2020

FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction

Facial Expressions induce a variety of high-level details on the 3D face...

ShahRukh Athar, et al. ∙

research

∙ 11/29/2020

Intrinsic Decomposition of Document Images In-the-Wild

Automatic document content processing is affected by artifacts caused by...

Sagnik Das, et al. ∙

research

∙ 10/07/2020

Variational Transfer Learning for Fine-grained Few-shot Visual Recognition

Fine-grained few-shot recognition often suffers from the problem of trai...

Jingyi Xu, et al. ∙

research

∙ 10/07/2020

Learning Clusterable Visual Features for Zero-Shot Recognition

In zero-shot learning (ZSL), conditional generators have been widely use...

Jingyi Xu, et al. ∙

research

∙ 09/28/2020

Distribution Matching for Crowd Counting

In crowd counting, each training image contains multiple people, where e...

Boyu Wang, et al. ∙

research

∙ 09/18/2020

Light Direction and Color Estimation from Single Image with Deep Regression

We present a method to estimate the direction and color of the scene lig...

Hassan A. Sial, et al. ∙

research

∙ 09/14/2020

A Study of Human Gaze Behavior During Visual Crowd Counting

In this paper, we describe our study on how humans allocate their attent...

Raji Annadi, et al. ∙

research

∙ 08/01/2020

From Shadow Segmentation to Shadow Removal

The requirement for paired shadow and shadow-free images limits the size...

Hieu Le, et al. ∙

research

∙ 05/28/2020

Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning

Being able to predict human gaze behavior has obvious importance for beh...

Zhibo Yang, et al. ∙

research

∙ 03/26/2020

Towards Better Opioid Antagonists Using Deep Reinforcement Learning

Naloxone, an opioid antagonist, has been widely used to save lives from ...

Jianyuan Deng, et al. ∙

research

∙ 02/18/2020

Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types

The distribution and appearance of nuclei are essential markers for the ...

Le Hou, et al. ∙

research

∙ 11/02/2019

Self-supervised Deformation Modeling for Facial Expression Editing

Recent advances in deep generative models have demonstrated impressive r...

ShahRukh Athar, et al. ∙

research

∙ 09/26/2019

Exascale Deep Learning to Accelerate Cancer Research

Deep learning, through the use of neural networks, has demonstrated rema...

Robert M. Patton, et al. ∙

research

∙ 08/23/2019

Shadow Removal via Shadow Image Decomposition

We propose a novel deep learning method for shadow removal. Inspired by ...

Hieu Le, et al. ∙

research

∙ 07/09/2019

Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types

Deep learning classifiers for characterization of whole slide tissue mor...

Shahira Abousamra, et al. ∙

research

∙ 06/12/2019

Topology-Preserving Deep Image Segmentation

Segmentation algorithms are prone to make topological errors on fine-sca...

Xiaoling Hu, et al. ∙

research

∙ 05/26/2019

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer

Quantitative assessment of Tumor-TIL spatial relationships is increasing...

Han Le, et al. ∙

research

∙ 05/08/2019

Weakly Labeling the Antarctic: The Penguin Colony Case

Antarctic penguins are important ecological indicators -- especially in ...

Hieu Le, et al. ∙

research

∙ 04/26/2019

Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion

In this work we introduce Lifting Autoencoders, a generative 3D surface-...

Mihir Sahasrabudhe, et al. ∙

research

∙ 04/09/2019

Label Super Resolution with Inter-Instance Loss

For the task of semantic segmentation, high-resolution (pixel-level) gro...

Maozheng Zhao, et al. ∙

research

∙ 09/16/2018

Latent Space Optimal Transport for Generative Models

Variational Auto-Encoders enforce their learned intermediate latent-spac...

Huidong Liu, et al. ∙

research

∙ 06/18/2018

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance

In this work we introduce Deforming Autoencoders, a generative model for...

Zhixin Shu, et al. ∙

research

∙ 12/13/2017

Unsupervised Histopathology Image Synthesis

Hematoxylin and Eosin stained histopathology image analysis is essential...

Le Hou, et al. ∙

research

∙ 12/04/2017

A+D-Net: Shadow Detection with Adversarial Shadow Attenuation

Single image shadow detection is a very challenging problem because of t...

Hieu Le, et al. ∙

research

∙ 11/28/2017

An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations

Several factors contribute to the appearance of an object in a visual sc...

Mengjiao Wang, et al. ∙

research

∙ 09/08/2017

Improving Heterogeneous Face Recognition with Conditional Adversarial Networks

Heterogeneous face recognition between color image and depth image is a ...

Wuming Zhang, et al. ∙

research

∙ 04/03/2017

Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images

Histopathology images are crucial to the study of complex diseases such ...

Le Hou, et al. ∙

research

∙ 03/31/2017

Geodesic Distance Histogram Feature for Video Segmentation

This paper proposes a geodesic-distance-based feature that encodes globa...

Hieu Le, et al. ∙

research

∙ 12/20/2016

Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images

Classifying the various shapes and attributes of a glioma cell nucleus i...

Veda Murthy, et al. ∙

research

∙ 12/10/2016

Co-localization with Category-Consistent CNN Features and Geodesic Distance Propagation

Co-localization is the problem of localizing objects of the same class u...

Hieu Le, et al. ∙

research

∙ 11/18/2016

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the p...

Alexandre Abraham, et al. ∙

research

∙ 11/17/2016

Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks

In the context of single-label classification, despite the huge success ...

Le Hou, et al. ∙

research

∙ 08/23/2016

Neural Networks with Smooth Adaptive Activation Functions for Regression

In Neural Networks (NN), Adaptive Activation Functions (AAF) have parame...

Le Hou, et al. ∙

research

∙ 04/29/2015

Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification

Convolutional Neural Networks (CNN) are state-of-the-art models for many...

Le Hou, et al. ∙

research

∙ 12/12/2014

Region segmentation for sparse decompositions: better brain parcellations from rest fMRI

Functional Magnetic Resonance Images acquired during resting-state provi...

Alexandre Abraham, et al. ∙

research

∙ 07/18/2012

On the Statistical Efficiency of ℓ_1,p Multi-Task Learning of Gaussian Graphical Models

In this paper, we present ℓ_1,p multi-task structure learning for Gaussi...

Jean Honorio, et al. ∙

Dimitris Samaras

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