The following papers have been accepted for interactive (poster) presentation as of 3 January2022.
The Symposium Interactive (Poster) Papers Session will be held on Day 3:
19 January: 08:20 San Francisco / 11:20 New York / 17:20 Paris 20 January: 01:20 Tokyo
Computational Imaging XX
P-01: Face beauty prediction through deep discriminant mapping, Fadi Dornaika1, Abdelmalik Moujahid1, Kunwei Wang1; 1University of the Basque Country, San Sebastian, Spain.
P-02: Improvement of aerial image by simulations, Katsunari Ashimine1, Munemitsu Abe1, Kazuhiro Wako2; 1Alps Alpine Co., Ltd., Iwaki, Fukushima, Japan; 2National Institute of Technology, Sendai College, Natori, Miyagi, Japan.
Computer Vision and Image Analysis of Art 2022
P-03: Artist-specific style transfer for deep net semantic segmentation of paintings: The value of large corpora of surrogate artworks, Matthias Wödlinger1, Thomas Heitzinger1, David G. Stork2; 1TU Wien, Vienna, Austria; 2Consultant, Portola Valley, CA, United States.
The Engineering Reality of Virtual Reality 2022
P-04: Data visualization of crime data using immersive virtual reality, Sharad Sharma1; 1Bowie State University, Bowie, MD, United States.
Human Vision and Electronic Imaging 2022
P-05: A simple and efficient deep scanpath prediction, Mohamed A. Kerkouri1, Aladine Chetouani1; 1Université d'Orléans, Orléans, France.
P-06: INDeeD: Identical and disparate feature decomposition from multi-label data, Tserendorj Adiya1, Seungkyu Lee1; 1Kyung Hee University, Yongin, South Korea.
P-07: On phenomenal visual space geometry, Jacek Turski1; 1University of Houston-Downtown, Houston, TX, United States.
Image Processing: Algorithms and Systems XX
P-08: Class specific biased extrapolation of images in latent space for imbalanced image classification, Suhyeon Jeong1, Seungkyu Lee1; 1Kyung Hee University, Yongin, South Korea.
P-09: Computer vision-based classification of schizophrenia patients from retinal imagery, Diana Joseph1, Adriann Lai1, Steven Silverstein1, Rajeev Ramchandran1, Edgar Bernal1; 1University of Rochester, Rochester, NY, United States.
P-10: Optimal parameters selection of the Frost filter based on despeckling efficiency prediction for Sentinel SAR images, Oleksii S. Rubel1, Andrii S. Rubel1, Vladimir Lukin1, Karen Egiazarian2; 1National Aerospace University, Kharkiv, Ukraine; 2Tampere University, Tampere, Finland.
P-11: Simulation-based virtual reality training for firefighters, Mohamed Saifeddine Hadj Sassi1, Federica Battisti2, Marco Carli1; 1Roma Tre University, Rome, Italy; 2University of Padova, Padova, Italy.
Image Quality and System Performance XIX
P-12: Image quality performance of CMOS image sensor equipped with CMY color filter in mobile devices, Sungho Cha1; 1Samsung Electronics Co, Ltd., Hwaseong, South Korea.
P-13: Visualization for texture analysis of the Shitsukan Research Database based on luminance information,
Norifumi Kawabata1;
1Hokkaido University, Sapporo, Japan.
Imaging Sensors and Systems 2022
P-14: Capture optimization for composite images, Henry G. Dietz1, Dillon Abney1; 1University of Kentucky, Lexington, KY, United States.
P-15: DePhaseNet: A deep convolutional network using phase differentiated layers and frequency based custom loss for RGBW image sensor demosaicing, Irina Kim1, Youngil Seo1, Dongpan Lim1, Jeongguk Lee1, Wooseok Choi1, Seongwook Song1; 1Samsung Electronics Co., Ltd., Hwaseong, Gyeonggi-do, South Korea.
P-16: The study and analysis of using CMY color filter arrays for 0.8 mm CMOS image sensors, Pohsiang Wang1, An-Li Kuo1, Ta-Yung Ni1, Hao-Wei Liu1, Yu C. Chang1, Ching-Chiang Wu1, Ken Wu1; 1VisEra Technologies, Hsinchu City, East District, Taiwan.
Machine Learning for Scientific Imaging 2022
P-17: Advantage of machine learning over maximum likelihood in limited-angle low-photon x-ray tomography, Zhen Guo1, Jung Ki Song1, George Barbastathis1, Michael A. Glinsky2, Courtenay T. Vaughan2, Kurt W. Larson2, Bradley K. Alpert3, and Zachary H. Levine4; 1Massachusetts Institute of Technology, 2Sandia National Laboratory, 3Applied and Computational Mathematics Division, National Institute of Standards and Technology, and 4Quantum Measurement Division, National Institute of Standards and Technology (United States)
P-18: CNN to mitigate atmospheric turbulence effect on Shack-Hartmann Wavefront Sensing: A case study on the Magdalena Ridge Observatory Interferometer., Siavash Norouzi1, James J. Luis2, Ramyaa Ramyaa1, John S. Young2, Eugene B. Seneta2, Morteza Darvish Morshedi Hosseini3, Edgar R. Ligon4; 1New Mexico Institute of Mining and Technology, Socorro, NM, United States; 2University of Cambridge, Cambridge, United Kingdom; 3Binghamton University, Binghamton, NY, United States; 4CHARA Array, Mt. Wilson, CA, United States.
P-19: ISP distillation, Eli Schwartz1, Alex Bronstein2, Raja Giryes1; 1Tel Aviv University, Atlit, Israel; 2Technion, Haifa, Israel.
Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2022
P-22: Chatbot integrated with machine learning deployed in the cloud and performance evaluation, Ganesh Reddy Gunnam1, Rahul Mundlamuri1, Devasena Inupakutika1, Sahak Kaghyan1, David Akopian1; 1The University of Texas at San Antonio, San Antonio, TX, United States.
P-23: Chatbot integration with Google Dialogflow environment, Rahul Mundlamuri1, Devasena Inupakutika1, David Akopian1, Ganesh Reddy Gunnam1, Sahak Kaghyan1; 1The University of Texas at San Antonio, San Antonio, TX, United States.
P-24: Interactive books - Status report, Harvey R. Levenson1; 1Cal Poly, San Luis Obispo, CA, United States.
Media Watermarking, Security, and Forensics 2022
P-23: Robust face recognition: How much face is needed?,
Niklas Bunzel1;
1Fraunhofer Institute for Secure Information Technology, Darmstadt, Germany.
P-24: Using a GAN to generate adversarial examples to facial image recognition, Andrew Merrigan1, Alan Smeaton1; 1Dublin City University, Dublin, Ireland.