Temple University

research

∙ 01/02/2019

Visualizing Deep Similarity Networks

For convolutional neural network models that optimize an image embedding...

Abby Stylianou, et al. ∙

research

∙ 04/16/2019

Clustered Object Detection in Aerial Images

Detecting objects in aerial images is challenging for at least two reaso...

Fan Yang, et al. ∙

research

∙ 12/20/2021

Learning Semi-Structured Representations of Radiology Reports

Beyond their primary diagnostic purpose, radiology reports have been an ...

Tamara Katic, et al. ∙

research

∙ 12/08/2019

Dually Supervised Feature Pyramid for Object Detection and Segmentation

Feature pyramid architecture has been broadly adopted in object detectio...

Fan Yang, et al. ∙

research

∙ 10/04/2021

Deep Learning Approach Protecting Privacy in Camera-Based Critical Applications

Many critical applications rely on cameras to capture video footage for ...

Gautham Ramajayam, et al. ∙

research

∙ 04/19/2019

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

As an important problem in computer vision, salient object detection (SO...

Wenguan Wang, et al. ∙

research

∙ 03/21/2020

BiCANet: Bi-directional Contextual Aggregating Network for Image Semantic Segmentation

Exploring contextual information in convolution neural networks (CNNs) h...

Quan Zhou, et al. ∙

research

∙ 10/06/2021

The Variability of Model Specification

It's regarded as an axiom that a good model is one that compromises betw...

Joseph R. Barr, et al. ∙

research

∙ 02/21/2019

Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment

Recent progresses in model-free single object tracking (SOT) algorithms ...

Peng Chu, et al. ∙

research

∙ 04/10/2019

FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking

Data association-based multiple object tracking (MOT) involves multiple ...

Peng Chu, et al. ∙

research

∙ 11/12/2018

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

Feature pyramids are widely exploited by both the state-of-the-art one-s...

Qijie Zhao, et al. ∙

research

∙ 04/04/2019

Generic Multiview Visual Tracking

Recent progresses in visual tracking have greatly improved the tracking ...

Minye Wu, et al. ∙

research

∙ 05/14/2019

Graph Attribute Aggregation Network with Progressive Margin Folding

Graph convolutional neural networks (GCNNs) have been attracting increas...

Penghui Sun, et al. ∙

research

∙ 11/18/2019

TracKlinic: Diagnosis of Challenge Factors in Visual Tracking

Generic visual tracking is difficult due to many challenge factors (e.g....

Heng Fan, et al. ∙

research

∙ 11/26/2021

Uncovering the Dark Side of Telegram: Fakes, Clones, Scams, and Conspiracy Movements

Telegram is one of the most used instant messaging apps worldwide. Some ...

Massimo La Morgia, et al. ∙

research

∙ 01/18/2019

Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

Pavement crack detection is a critical task for insuring road safety. Ma...

Fan Yang, et al. ∙

research

∙ 04/07/2020

Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild

Unconstrained remote gaze estimation remains challenging mostly due to i...

Zhecan Wang, et al. ∙

research

∙ 06/29/2020

Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification

Graph neural networks are promising architecture for learning and infere...

Kai Zhang, et al. ∙

research

∙ 08/17/2019

CompenNet++: End-to-end Full Projector Compensation

Full projector compensation aims to modify a projector input image such ...

Bingyao Huang, et al. ∙

research

∙ 11/23/2017

3D Based Landmark Tracker Using Superpixels Based Segmentation for Neuroscience and Biomechanics Studies

Examining locomotion has improved our basic understanding of motor contr...

Omid Haji Maghsoudi, et al. ∙

research

∙ 11/17/2017

Superpixels Based Segmentation and SVM Based Classification Method to Distinguish Five Diseases from Normal Regions in Wireless Capsule Endoscopy

Wireless Capsule Endoscopy (WCE) is relatively a new technology to exami...

Omid Haji Maghsoudi, et al. ∙

research

∙ 10/20/2017

Superpixel Based Segmentation and Classification of Polyps in Wireless Capsule Endoscopy

Wireless Capsule Endoscopy (WCE) is a relatively new technology to recor...

Omid Haji Maghsoudi, et al. ∙

research

∙ 10/17/2017

Superpixels Based Marker Tracking Vs. Hue Thresholding In Rodent Biomechanics Application

Examining locomotion has improved our basic understanding of motor contr...

Omid Haji Maghsoudi, et al. ∙

research

∙ 08/01/2017

Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking

Being intensively studied, visual tracking has seen great recent advance...

Heng Fan, et al. ∙

research

∙ 06/29/2016

Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests

We consider the problem of personalization of online services from the v...

Nemanja Djuric, et al. ∙

research

∙ 03/23/2017

Planar Object Tracking in the Wild: A Benchmark

Planar object tracking plays an important role in computer vision and re...

Pengpeng Liang, et al. ∙

research

∙ 12/09/2016

Understanding and Mapping Natural Beauty

While natural beauty is often considered a subjective property of images...

Scott Workman, et al. ∙

research

∙ 11/21/2016

SANet: Structure-Aware Network for Visual Tracking

Convolutional neural network (CNN) has drawn increasing interest in visu...

Heng Fan, et al. ∙

research

∙ 07/08/2016

Multi-level Contextual RNNs with Attention Model for Scene Labeling

Context in image is crucial for scene labeling while existing methods on...

Heng Fan, et al. ∙

research

∙ 04/07/2016

GIFT: A Real-time and Scalable 3D Shape Search Engine

Projective analysis is an important solution for 3D shape retrieval, sin...

Song Bai, et al. ∙

research

∙ 12/12/2014

Manifold Matching using Shortest-Path Distance and Joint Neighborhood Selection

Matching datasets of multiple modalities has become an important task in...

Cencheng Shen, et al. ∙

research

∙ 03/12/2016

Real-time 3D scene description using Spheres, Cones and Cylinders

The paper describes a novel real-time algorithm for finding 3D geometric...

Kristiyan Georgiev, et al. ∙

research

∙ 10/19/2015

DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

A key problem in salient object detection is how to effectively model th...

Xi Li, et al. ∙

research

∙ 01/05/2015

Adaptive Objectness for Object Tracking

Object tracking is a long standing problem in vision. While great effort...

Pengpeng Liang, et al. ∙

research

∙ 09/04/2017

Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features

Satirical news is considered to be entertainment, but it is potentially ...

Fan Yang, et al. ∙

research

∙ 10/12/2016

Semi-supervised Discovery of Informative Tweets During the Emerging Disasters

The first objective towards the effective use of microblogging services ...

Shanshan Zhang, et al. ∙

research

∙ 12/13/2017

Local False Discovery Rate Based Methods for Multiple Testing of One-Way Classified Hypotheses

This paper continues the line of research initiated in Liu, Sarkar and Z...

Sanat K. Sarkar, et al. ∙

research

∙ 01/17/2018

Shortest Path and Maximum Flow Problems Under Service Function Chaining Constraints

With the advent of Network Function Virtualization (NFV), Physical Netwo...

Gamal Sallam, et al. ∙

research

∙ 01/21/2018

Dense Recurrent Neural Networks for Scene Labeling

Recently recurrent neural networks (RNNs) have demonstrated the ability ...

Heng Fan, et al. ∙

research

∙ 01/20/2018

A frequency domain analysis of the error distribution from noisy high-frequency data

Data observed at high sampling frequency are typically assumed to be an ...

Jinyuan Chang, et al. ∙

research

∙ 01/29/2018

Denoising Arterial Spin Labeling Cerebral Blood Flow Images Using Deep Learning

Arterial spin labeling perfusion MRI is a noninvasive technique for meas...

Danfeng Xie, et al. ∙

research

∙ 01/27/2018

Feature Based Framework to Detect Diseases, Tumor, and Bleeding in Wireless Capsule Endoscopy

Studying animal locomotion improves our understanding of motor control a...

Omid Haji Maghsoudi, et al. ∙

research

∙ 03/21/2018

An Accountable Anonymous Data Aggregation Scheme for Internet of Things

The Internet of Things (IoT) has become increasingly popular in people's...

Longfei Wu, et al. ∙

research

∙ 03/21/2018

A Secure Proxy-based Access Control Scheme for Implantable Medical Devices

With the rapid development of health equipments, increasingly more patie...

Longfei Wu, et al. ∙

research

∙ 03/24/2018

A Single-shot Camera-Projector Calibration System For Imperfect Planar Targets

Existing camera-projector calibration methods typically warp feature poi...

Bingyao Huang, et al. ∙

research

∙ 03/27/2018

POKs Based Low Energy Authentication Scheme for Implantable Medical Devices

Implantable medical devices (IMDs), including pacemakers, implanted card...

Chenglong Fu, et al. ∙

research

∙ 03/28/2018

Semi-supervised learning for structured regression on partially observed attributed graphs

Conditional probabilistic graphical models provide a powerful framework ...

Jelena Stojanovic, et al. ∙

research

∙ 03/28/2018

Deeply Supervised Semantic Model for Click-Through Rate Prediction in Sponsored Search

In sponsored search it is critical to match ads that are relevant to a q...

Jelena Gligorijevic, et al. ∙

research

∙ 03/28/2018

Modeling Customer Engagement from Partial Observations

It is of high interest for a company to identify customers expected to b...

Jelena Stojanovic, et al. ∙

research

∙ 03/28/2018

Improving confidence while predicting trends in temporal disease networks

For highly sensitive real-world predictive analytic applications such as...

Djordje Gligorijevic, et al. ∙

Temple University

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