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ORCIDISVC 2022, San Diego, CA, USA - Part I
- George Bebis, Bo Li, Angela Yao, Yang Liu, Ye Duan, Manfred Lau, Rajiv Khadka, Ana Crisan, Remco Chang:
Advances in Visual Computing - 17th International Symposium, ISVC 2022, San Diego, CA, USA, October 3-5, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13598, Springer 2022, ISBN 978-3-031-20712-9
Deep Learning I
- Shima Shahfar
, Charalambos Poullis:
Unsupervised Structure-Consistent Image-to-Image Translation. 3-21 - Zaigham A. Randhawa, Shivang Patel, Donald A. Adjeroh, Gianfranco Doretto:
Learning Representations for Masked Facial Recovery. 22-35 - Patricia L. Suárez, Ángel D. Sappa, Dario Carpio, Henry O. Velesaca, Francisca Burgos, Patricia Urdiales:
Deep Learning Based Shrimp Classification. 36-45 - Yajurv Bhatia, A. S. M. Hossain Bari, Marina L. Gavrilova:
Gait Emotion Recognition Using a Bi-modal Deep Neural Network. 46-60 - Jue Ding, Jun Yin, Jingyu Dun, Wanwan Zhang, Yayun Wang:
Attacking Frequency Information with Enhanced Adversarial Networks to Generate Adversarial Samples. 61-73
Visualization
- Huimin Han, Rebecca Faust, Brian Felipe Keith Norambuena, Ritvik Prabhu, Timothy Smith, Song Li, Chris North:
Explainable Interactive Projections for Image Data. 77-90 - Tommy Dang, Ngan V. T. Nguyen:
MultiProjector: Temporal Projection for Multivariates Time Series. 91-102 - Sudarshan Devkota, Sumanta N. Pattanaik:
Deep Learning Based Super-Resolution for Medical Volume Visualization with Direct Volume Rendering. 103-114 - Thomas Marrinan, Jifu Tan, Joseph A. Insley, Alina Kanayinkal, Michael E. Papka:
Interactive Virtual Reality Exploration of Large-Scale Datasets Using Omnidirectional Stereo Images. 115-128 - Bryson Lingenfelter, Sara R. Davis, Emily M. Hand:
A Quantitative Analysis of Labeling Issues in the CelebA Dataset. 129-141
Object Detection and Recognition
- Shaif Chowdhury, Greg Hamerly:
Recognition of Aquatic Invasive Species Larvae Using Autoencoder-Based Feature Averaging. 145-161 - Azubuike Okorie, Sokratis Makrogiannis:
Subspace Analysis for Multi-temporal Disaster Mapping Using Satellite Imagery. 162-173 - Ola Badreldeen Bdawy Mohamed, Tuomas Eerola, Kaisa Kraft, Lasse Lensu, Heikki Kälviäinen:
Open-Set Plankton Recognition Using Similarity Learning. 174-183 - Morteza Mousa Pasandi, Tianran Liu, Yahya Massoud, Robert Laganière:
Sensor Fusion Operators for Multimodal 2D Object Detection. 184-195 - Nicholas Kashani Motlagh, Jim Davis, Tim Anderson, Jeremy Gwinnup:
Learning When to Say "I Don't Know". 196-210 - Mohsen Mohaidat, Janos L. Grantner, Saad A. Shebrain, Ikhlas Abdel-Qader:
Multi-class Detection and Tracking of Intracorporeal Suturing Instruments in an FLS Laparoscopic Box Trainer Using Scaled-YOLOv4. 211-221
Deep Learning II
- Alankrit Mishra, Garima Bajwa:
A New Approach to Visual Classification Using Concatenated Deep Learning for Multimode Fusion of EEG and Image Data. 225-236 - Sean Wu, Reem Al Dabagh, Anna L. Jacobsen, Helen I. Holmlund, Fabien Scalzo:
Deep Learning-Based Classification of Plant Xylem Tissue from Light Micrographs. 237-248 - Trong-Lanh R. Nguyen, Thierry Chateau, Guillaume Magniez:
VampNet: Unsupervised Vampirizing of Convolutional Networks. 249-261 - Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu:
RSI-Grad-CAM: Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-Based Localization. 262-274 - Sejal Ghate, Alberto Santamaría-Pang, Ivan Tarapov, Haris I. Sair, Craig K. Jones:
Deep Labeling of fMRI Brain Networks Using Cloud Based Processing. 275-283 - Seyedalireza Khoshsirat, Chandra Kambhamettu:
Semantic Segmentation Using Neural Ordinary Differential Equations. 284-295
Video Analysis and Event Recognition
- Victoria Manousaki, Konstantinos E. Papoutsakis, Antonis A. Argyros:
Graphing the Future: Activity and Next Active Object Prediction Using Graph-Based Activity Representations. 299-312 - Jiaxin Zhou, Takashi Komuro:
Detecting Fall Actions of Videos by Using Weakly-Supervised Learning and Unsupervised Clustering Learning. 313-324 - Nikolaos Bakalos, Nikolaos Doulamis, Anastasios D. Doulamis, Konstantinos Makantasis:
Multi-property Tensor-Based Learning for Abnormal Event Detection. 325-335 - Filip Malawski, Bartosz Jankowski:
Depth-Based vs. Color-Based Pose Estimation in Human Action Recognition. 336-346 - Konstantinos Bacharidis, Antonis A. Argyros:
Cross-Domain Learning in Deep HAR Models via Natural Language Processing on Action Labels. 347-361
Computer Graphics
- Ying Zhu:
Visualizing Data Flows in Computer Graphics Programs for Code Comprehension and Debugging. 365-376 - Philip Smith, Vitaliy Kurlin:
A Practical Algorithm for Degree-k Voronoi Domains of Three-Dimensional Periodic Point Sets. 377-391 - Jingtao Huang, Takashi Komuro:
End-to-End Deep Neural Network for Illumination Consistency and Global Illumination. 392-403 - Gaëtan Landreau, Mohamed Tamaazousti:
Pruning-Based Topology Refinement of 3D Mesh Using a 2D Alpha Mask. 404-415
ST: Biomedical Imaging Techniques for Cancer Detection, Diagnosis and Management
- Prithul Sarker, Sushmita Sarker, George Bebis, Alireza Tavakkoli:
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images. 419-430 - Md Farhad Mokter, Azeez Idris, Jung-Hwan Oh, Wallapak Tavanapong, Piet C. de Groen:
Severity Classification of Ulcerative Colitis in Colonoscopy Videos by Learning from Confusion. 431-443 - Anwesh Kabiraj, Tanushree Meena, Pailla Balakrishna Reddy, Sudipta Roy:
Detection and Classification of Lung Disease Using Deep Learning Architecture from X-ray Images. 444-455 - Nguyen Minh Chau, Le Truong Giang, Dinh Viet Sang:
PolypDEQ: Towards Effective Transformer-Based Deep Equilibrium Models for Colon Polyp Segmentation. 456-467
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