IEEE Southwest Symposium on Image Analysis and Interpretation

SSIAI 2018—Program Schedule

IEEE SOUTHWEST SYMPOSIUM ON
IMAGE ANALYSIS AND INTERPRETATION
April 8-10, 2018 | Harrah's Hotel & Casino | Las Vegas, Nevada USA
http://www.ssiai.org

Sponsor:Corporate supporter:

Sunday, April 8, 2018
5:30 Social Reception (Location TBD)

Monday, April 9, 2018

Tuesday, April 10, 2018

8:00-8:25 Registration
8:25-8:30 Opening
8:30-9:30 Plenary
9:30-10:15 (3 talks)
10:15-10:30 Break
10:30-11:45 (5 talks)
11:45-1:05 Lunch
1:05-2:05 Plenary
2:05-2:50 (3 talks)
2:50-3:05 Break
3:05-5:35 (9 talks)
6:30 pm Banquet, Wheel House

8:30-9:30 Plenary
9:30-10:15 (3 talks)
10:15-10:20 Break
10:20-12:05 (7 talks)
12:05-1:30 Lunch
1:30-2:30 (Patentability of Machine
Learning and Image Analysis Technology)
2:30-3:15 (3 talks)
3:15-3:35 Break
3:35-4:50 (5 talks)
4:50 Conclusion

SSIAI 2018 | April 8-10, 2018 | Harrah’s Hotel & Casino | Las Vegas, NV USA | http://www.ssiai.org

IEEE Southwest Symposium on Image Analysis and Interpretation

SSIAI 2018—Program ScheduleMonday, April 9, 2018
8:00 – 8:25
8:25 – 8:30
8:30 – 9:30
M1
9:30 – 9:45

M1.1

Registration
Opening
Ed Delp, "Precision Farming: There Really Is More Than Corn In Indiana"
Image Enhancement and Restoration
Fengquing Zhu, Purdue University
1001: Underwater Image Restoration using Deep Networks to Estimate Background Light and Scene
Depth
Keming Cao, University of California, San Diego
Yan-Tsung Peng, University of California, San Diego
Pamels C. Cosman, University of California, San Diego

9:45 – 10:00
M1.2

1059: Thermal Image Enhancement Algorithm using Local and Global Logarithmic Transform
Histogram Matching with Spatial Equalization
Viacheslav Voronin, Don State Technical University
Evgenii Semenishchev, Don State Technical University
Sos Agaian, CUNY/The College of Staten Island Staten Island

10:00 – 10:15
M1.3

2000: A Reflectance Based Method for Shadow Detection and Removal
Sri Kalyan Yarlagadda, Purdue University
Fengquing Zhu, Purdue University

10:15 – 10:30

Break

M2

Image Compression and Compressive Sensing

10:30 – 10:45
M2.1

1010: Reversible Color-To-Gray mapping with Resistance to JPEG Encoding

10:45 – 11:00
M2.2

1027: Image Compression: Sparse Coding vs. Bottleneck Autoencoders

11:00 – 11:15
M2.3

Takahiko Horiuchi, Chiba University
Xu Wen, Chiba University
Keita Hirai, Chiba University
Yijing Watkins, Los Alamos National Lab
Oleksandr Iaroshenko, Los Alamos National Lab
Mohammad Sayeh, Southern Illinois University Carbondale
Garrett Kenyon, Los Alamos National Lab

1039: Complex Correntropy Induced Metric Applied to Compressed Sensing with

Complex-Valued DataJoão Guimarães, Federal Institute of Rio Grande do Norte
Aluisio Fontes, Federal Institute of Rio Grande do Norte
Felipe da Silva, University of Texas at El Paso
Allan Martins, Federal University of Rio Grande do Norte
Ricardo von Borries, University of Texas at El Paso

M3

Biomedical Image Analysis
Edward Delp, Purdue University

11:15 – 11:30
M3.1

1011: cTADA: The Design of a Crowdsourcing Tool for Online Food Image Identification andSegmentation
Shaobo Fang, Purdue University
Chang Liu, Purdue University
Khalid Tahboub, Purdue University
Fengquing Zhu, Purdue University
Carol Boushey, University of Hawaii Cancer Center
Edward Delp, Purdue University

SSIAI 2018 | April 8-10, 2018 | Harrah’s Hotel & Casino | Las Vegas, NV USA | http://www.ssiai.org

IEEE Southwest Symposium on Image Analysis and Interpretation

11:30 – 11:45
M3.2

SSIAI 2018—Program Schedule

1012: Sleep Analysis Using Motion and Head Detection
Jeehyun Choe, Purdue University
Daniel Mas Montserrat, Purdue University
Amy J. Schwichtenberg, Purdue University
Edward J. Delp, Purdue University

Lunch Break

11:45 – 1:05
M4

Biomedical Image Analysis II
Brian Nutter, Texas Tech University

1:05 – 2:05

2:05 – 2:20
M4.1
2:20 – 2:35
M4.2

2:35 – 2:50
M4.3

Scott T. Acton, "Brain Pixels: image analysis for neuroscience"
1035: Graph Modularity and Randomness Measures
Victor Vergara, The Mind Research Network
Qingbao Yu, The Mind Research Network
Vince Calhoun, The Mind Research Network

1036: f-Sim: A Quasi-Realistic fMRI Simulation Toolbox using Digital Brain Phantom andModeled NoiseHarshit Parmar, Texas Tech University
Xiangyu Liu, Texas Tech University
Brian Nutter, Texas Tech University
Sunanda Mitra, Texas Tech University
1038: High-Homogeneity Functional Parcellation of Human Brain for Investigating Robust

Functional Connectivity
Xiangyu Liu, Texas Tech University
Brian Nutter, Texas Tech University
Sunanda Mitra, Texas Tech University

Break

2:50 – 3:05

Image Models I

M5Mary Comer, Purdue University

3:05 – 3:20
M5.1
3:35 – 3:50
M5.2
3:50 – 4:05
M5.3
4:05 – 4:20
M5.4
4:20 – 4:35
M5.5

2002: A Marked Point Process Model incorporating Active Contours Boundary Energy
Camilo Aguilar, Purdue University
Mary Comer, Purdue University

1033: Conjointly Space and 2D Frequency Localized Filter banks
Peter Tay, Western Carolina University
Yanjun Yan, Western Carolina University

1048: Shape Adaptive Accelerated Parameter Optimization
Anthony Yezzi, Georgia Institute of Technology
Navdeep Dahiya, Georgia Institute of Technology

1054: Golden Number Sampling Applied to Compressive Sensing
Felipe Batista da Silva, The University of Texas at El PasoRicardo von Borries, The University of Texas at El Paso

1057: A Comparison of Column Subset Selection Methods for Unsupervised Band Subset
Selection in Hyperspectral Imagery
Maher Aldeghlawi, University of Texas at El Paso
Miguel Velez-Reyes, University of Texas at El Paso

Object Detection and Deep Learning

M6

4:35 – 4:50

1047: Viola-Jones Algorithm for Automatic Detection of Hyperbolic Regions in GPR Profilesof Bridge Decks

SSIAI 2018 | April 8-10, 2018 | Harrah’s Hotel & Casino | Las Vegas, NV USA | http://www.ssiai.org

IEEE Southwest Symposium on Image Analysis and Interpretation
M6.1
4:50 – 5:05
M6.2

5:05 – 5:20
M6.3

5:20 – 5:35
M6.4
6:30 p.m.

SSIAI 2018—Program Schedule

Mohammed Abdul Rahman, Concordia University
Tarek Zayed, Concordia University

1050: Robust Head Detection in Collaborative Learning Environments Using AM-FM
Representations
Wenjing Shi, University of New Mexico
Marios Pattichis, University of New Mexico
Sylvia Celedón-Pattichis, University of New Mexico
Carlos LópezLeiva, University of New Mexico1062: Drive-Net: Convolutional Network for Driver Distraction Detection
Mohammed S. Majdi, University of Arizona
Sundaresh Ram, Cornell UniversityJonathan T. Gill, University of Arizona
Jeffrey J. Rodriguez, University of Arizona1063: The precision of triangulation in monocular visual odometry
Nolang Fanani, Goethe University Frankfurt
Rudolf Mester, Goethe University Frankfurt

BANQUET AND ENTERTAINMENT: Dinner at the Wheel House overlooking the Linq Promenade andride on the High Roller. The ride is optional and paid by the law firm of Weintraub Tobin.

Tuesday, April 10, 2018
8:30 – 9:30
T1
9:30 –9:45

Al Bovik, "The ‘Ins’ and ‘Outs’ of Perceptual Streaming Video"
Image and Video Quality Models
Amy R. Reibman, Purdue University
2001: Strategies for Quality-Aware Video Content Analytics
Amy R. Reibman, Purdue University.

T1.1
9:45 – 10:00

1013: On the Natural Statistics of Chromatic Images
Zeina Sinno, The University of Texas at Austin
Alan Bovik, The University of Texas at Austin

T1.2
10:00 – 10:15

1044: Natural Scene Statistics for Noise Estimation
Praful Gupta, The University of Texas at Austin
Christos Bampis, The University of Texas at Austin
Yize Jin, The University of Texas at Austin
Alan Bovik, The University of Texas at Austin

T1.3

Break

10:15 – 10:20
T2

Biomedical Image Analysis III

10:20 – 10:35
T2.1

Random Forests
Sundaresh Ram, Cornell University
Mohammed S. Majdi, University of Arizona
Jeffrey J. Rodriguez, University of Arizona
Yang Gao, University of Utah
Heddwen L. Brooks, University of Arizona

10:35 – 10:50
T2.2

1060: Classification of Primary Cilia in Microscopy Images Using Convolutional Neural

1017: In-between and cross-frequency dependence-based summarization of resting-state

fMRI data
Maziar Yaesoubi, The Mind Research Network
Rogers Silva, The Mind Research Network
Vince Calhoun, The Mind Research Network

SSIAI 2018 | April 8-10, 2018 | Harrah’s Hotel & Casino | Las Vegas, NV USA | http://www.ssiai.org

IEEE Southwest Symposium on Image Analysis and Interpretation

10:50 – 11:05
T2.4

SSIAI 2018—Program Schedule1042: Fully Automatic Baseline Correction in Magnetic Resonance Spectroscopy
Omid Bazgir, Texas Tech University
Sunanda Mitra, Texas Tech University
Brian Nutter, Texas Tech University
Eric Walden, Texas Tech University

Machine Learning and Deep Learning Methods

T3

11:05 – 11:20
T3.1
11:20 – 11:35

1018: Artifact Detection Maps Learned using Shallow Convolutional Networks
Todd Goodall, University of Texas at Austin
Alan Bovik, University of Texas at Austin

1031: Estimating Plant Centers Using A Deep Binary Classifier
Yuhao Chen, Purdue University
Javier Ribera, Purdue University
Edward Delp, Purdue University

T3.2
11:35 – 11:50
T3.3
11:50 – 12:05
T3.4

1043: Automatic Assessment of Hoarding Clutter Using Convolutional Neural Networks
M. Ozan Tezcan, Boston University
Janusz Konrad, Boston University
Jordana Muroff, Boston University

1058: Performance of Supervised Classifiers for Damage Scoring of Zebrafish Neuromasts
Rohit Philip, University of Arizona
Sree Ramya Malladi, University of Arizona
Maki Niihori, University of Arizona
Abraham Jacob, Center for NeurosciencesJeffrey J. Rodriguez, University of Arizona

Lunch Break

12:05 – 1:30
1:30 – 2:30
T4
2:30 – 2:45

Panel: "Myths, Rumors, and the Law: Patentability of Machine Learning and Image Analysis
Technology"
Real-Time Image Processing and Hardware Acceleration

1015: Efficient Face And Gesture Recognition For Time Sensitive Application
Anush Ananthakumar, Georgia Institute Of Technology

T4.1
2:45 – 3:00
T4.2

1020: Efficient GPU-based implementation of the median filter based on a multi-pixel-perthread framework
Gabriel Salvador, Pontificia Universidad Catolica del Peru
Juan M. Chau, Pontificia Universidad Catolica del Peru
Jorge Quesada, Pontificia Universidad Catolica del Peru
Cesar Carranza, Pontificia Universidad Catolica del Peru

3:00 – 3:15

T4.3

1032: A New Hardware Architecture for the Ridge Regression Optical Flow Algorithm
Taylor Simons, Brighan Young University
Dah Jye Lee, Brighan Young University

Break

3:15 –3:35

Object Detection and Data Fusion

T5
3:35 – 3:50

Eric K. Tokuda, University of São Paulo
Gabriel B. A. Ferreira, University of São PauloT5.1
3:50 –4:05

T5.2

1023: A Novel Semi-Supervised Detection Approach with Weak Annotation

1041: Fused Reasoning under Uncertainty for Soldier Centric Human-Agent Decision
Adrienne Raglin, Army Research Lab
Andre Harrison, Army Research Lab
Douglass Summers-Stay, Army Research Lab

SSIAI 2018 | April 8-10, 2018 | Harrah’s Hotel & Casino | Las Vegas, NV USA | http://www.ssiai.org

IEEE Southwest Symposium on Image Analysis and Interpretation

4:05 – 4:20

T5.3
4:20 – 4:35

T5.4

SSIAI 2018—Program Schedule

1051: A Ground-Truth Fusion Method for Image Segmentation Evaluation
Sree Ramya S. P. Malladi, University of Arizona
Sundaresh Ram, Cornell University
Jeffrey J. Rodriguez, University of Arizona

1056: Context-Sensitive Human Activity Classification in Collaborative Learning
Environments
Abigail Jacoby, The University of New Mexico
Marios Pattichis, The University of New Mexico
Sylvia Celedon-Pattichis, The University of New Mexico
Carlos LopezLeiva, The University of New Mexico

4:35 – 4:50

T5.5

1019: DDT: Decentralized event Detection and Tracking using an ensemble of vertexreinforced walks on a graph
Tamal Batabyal, University of Virginia
Scott T. Acton, University of Virginia

4:50 – 5:00

Conclusion

SSIAI 2018 | April 8-10, 2018 | Harrah’s Hotel & Casino | Las Vegas, NV USA | http://www.ssiai.org