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ORCID19th CAIP 2021: Virtual Event - Part I
- Nicolas Tsapatsoulis
, Andreas Panayides, Theo Theocharides, Andreas Lanitis, Constantinos S. Pattichis, Mario Vento:
Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part I. Lecture Notes in Computer Science 13052, Springer 2021, ISBN 978-3-030-89127-5
3D Vision
- Torben Fetzer, Gerd Reis, Didier Stricker:
Simultaneous Bi-directional Structured Light Encoding for Practical Uncalibrated Profilometry. 3-13 - Torben Fetzer, Gerd Reis, Didier Stricker:
Joint Global ICP for Improved Automatic Alignment of Full Turn Object Scans. 14-25 - Torben Fetzer, Gerd Reis, Didier Stricker:
Fast Projector-Driven Structured Light Matching in Sub-pixel Accuracy Using Bilinear Interpolation Assumption. 26-36 - Marcos Roberto e Souza, Jhonatas S. Conceição, Jose L. Flores-Campana, Luis G. L. Decker, Diogo C. Luvizon, Gustavo Sutter P. Carvalho, Helena Almeida Maia, Hélio Pedrini:
Pyramidal Layered Scene Inference with Image Outpainting for Monocular View Synthesis. 37-46 - Roberto Bigazzi, Federico Landi, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara:
Out of the Box: Embodied Navigation in the Real World. 47-57 - Karama Abdelhedi, Faten Chaabane, William Puech, Chokri Ben Amar:
Toward a Novel LSB-based Collusion-Secure Fingerprinting Schema for 3D Video. 58-68 - Lidija Comic:
A Combinatorial Coordinate System for the Vertices in the Octagonal C4C8(R) Grid. 69-78 - Luis Sanchez Tapia, Antonio Gomez, Mario Esparza, Venkatesh Jatla, Marios Pattichis, Sylvia Celedón-Pattichis, Carlos López Leiva:
Bilingual Speech Recognition by Estimating Speaker Geometry from Video Data. 79-89 - Pedro H. Carvalho, Inês Rocha, Fábio Azevedo, Patrícia S. Peixoto, Marcela A. Segundo, Hélder P. Oliveira:
Cost-Efficient Color Correction Approach on Uncontrolled Lighting Conditions. 90-99 - Wei Chen, Jun Peng, Ziyu Zhu, Yong Zhao:
HPA-Net: Hierarchical and Parallel Aggregation Network for Context Learning in Stereo Matching. 100-109 - Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov:
MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching. 110-119
Biomedical Image and Pattern Analysis
- Abdullah Sarhan, Jon G. Rokne, Reda Alhajj:
H-OCS: A Hybrid Optic Cup Segmentation of Retinal Images. 123-134 - Suraj Saxena, Kanhaiya Lal, Sharad Joshi:
Retinal Vessel Segmentation Using Blending-Based Conditional Generative Adversarial Networks. 135-144 - Khouloud Boukhris, Ramzi Mahmoudi, Asma Ben Abdallah, Mabrouk AbdelAli, Badii Hmida, Mohamed Hédi Bedoui:
U-Shaped Densely Connected Convolutions for Left Ventricle Segmentation from CMR Images. 145-153 - Navdeep Kumar, Alessio Carletti, Paulo J. Gavaia, Marc Muller, M. Leonor Cancela, Pierre Geurts, Raphaël Marée:
Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images. 154-164 - Paul M. Bakaki, Bruce Richard, Ella Pereira, Aristides Tagalakis, Andy Ness, Yonghuai Liu:
Shape Analysis Approach Towards Assessment of Cleft Lip Repair Outcome. 165-174 - Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
MMEC: Multi-Modal Ensemble Classifier for Protein Secondary Structure Prediction. 175-184 - Leonardo O. Iheme, Gizem Solmaz, Fatma Tokat, Sercan Çayir, Engin Bozaba, Çisem Yazici, Gülsah Özsoy, Samet Ayalti, Cavit Kerem Kayhan, Ümit Ince:
Patch-Level Nuclear Pleomorphism Scoring Using Convolutional Neural Networks. 185-194 - Lorenzo Putzu, Maxim Untesco, Giorgio Fumera:
Automatic Myelofibrosis Grading from Silver-Stained Images. 195-205 - Farhad Maleki, Kevin Cote, Keyhan Najafian, Katie L. Ovens, Yan Miao, Rita Zakarian, Caroline Reinhold, Reza Forghani, Peter Savadjiev, Zu-hua Gao:
A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images. 206-214 - Tomás Majtner:
HEp-2 Cell Image Recognition with Transferable Cross-Dataset Synthetic Samples. 215-225 - Roshan Alex Welikala, Paolo Remagnino, Jian Han Lim, Chee Seng Chan, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Wanninayake Mudiyanselage Tilakaratne, Sok Ching Cheong, Sarah Ann Barman:
Clinically Guided Trainable Soft Attention for Early Detection of Oral Cancer. 226-236 - Chiara Losquadro, Silvia Conforto, Maurizio Schmid, Gaetano Giunta, Marco Rengo, Vincenzo Cardinale, Guido Carpino, Andrea Laghi, Ana Lleo, Riccardo Muglia, Ezio Lanza, Guido Torzilli:
Small and Large Bile Ducts Intrahepatic Cholangiocarcinoma Classification: A Preliminary Feature-Based Study. 237-244 - Vangelis Tzardis, Efthyvoulos Kyriacou, Christos P. Loizou, Anastasia Constantinidou:
A Review on Breast Cancer Brain Metastasis: Automated MRI Image Analysis for the Prediction of Primary Cancer Using Radiomics. 245-255 - Andreas Georgiou, Christos P. Loizou, Andria Nicolaou, Marios Pantzaris, Constantinos S. Pattichis:
An Adaptive Semi-automated Integrated System for Multiple Sclerosis Lesion Segmentation in Longitudinal MRI Scans Based on a Convolutional Neural Network. 256-265 - Charalambos Gregoriou, Christos P. Loizou, Andreas Georgiou, Marios Pantzaris, Constantinos S. Pattichis:
A Three-Dimensional Reconstruction Integrated System for Brain Multiple Sclerosis Lesions. 266-276 - Andria Nicolaou, Christos P. Loizou, Marios Pantzaris, Antonis C. Kakas, Constantinos S. Pattichis:
Rule Extraction in the Assessment of Brain MRI Lesions in Multiple Sclerosis: Preliminary Findings. 277-286 - Lorenzo Putzu, Andrea Loddo, Cecilia Di Ruberto:
Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval. 287-297 - Malika Jallouli, Wafa Belhadj Khalifa, Anouar Ben Mabrouk, Mohamed Ali Mahjoub:
Toward Multiwavelet Haar-Schauder Entropy for Biomedical Signal Reconstruction. 298-307
Machine Learning
- Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens, Brendan Tran Morris:
Handling Missing Observations with an RNN-based Prediction-Update Cycle. 311-321 - Ademola Okerinde, William H. Hsu, Tom Theis, Nasik Muhammad Nafi, Lior Shamir:
eGAN: Unsupervised Approach to Class Imbalance Using Transfer Learning. 322-331 - Chia-Hung Bai, Setya Widyawan Prakosa, He-Yen Hsieh, Jenq-Shiou Leu, Wen-Hsien Fang:
Progressive Contextual Excitation for Smart Farming Application. 332-340 - Francesca Trenta, Alessandro Ortis, Sebastiano Battiato:
Fine-Grained Image Classification for Pollen Grain Microscope Images. 341-351 - Anindita Das, Prithwish Sen, Nilkanta Sahu:
Adaptive Style Transfer Using SISR. 352-361 - Jacob Velling Dueholm, Kamal Nasrollahi, Thomas Baltzer Moeslund:
Object-Centric Anomaly Detection Using Memory Augmentation. 362-371 - Sarathi Shah, M. V. Joshi:
Document Language Classification: Hierarchical Model with Deep Learning Approach. 372-381 - Linh Truong Dieu, Thuan Trong Nguyen, Nguyen D. Vo, Tam V. Nguyen, Khang Nguyen:
Parsing Digitized Vietnamese Paper Documents. 382-392 - Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task. 393-402 - Javad Zolfaghari Bengar, Bogdan Raducanu, Joost van de Weijer:
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning. 403-413 - Riccardo La Grassa, Ignazio Gallo, Calogero Vetro, Nicola Landro:
Learning to Navigate in the Gaussian Mixture Surface. 414-423 - Vipul Shah, Sandeep S. Udmale, Vijay Sambhe, Amey Bhole:
A Deep Hybrid Approach for Hate Speech Analysis. 424-433 - Guru Swaroop Bennabhaktula, Joey Antonisse, George Azzopardi:
On Improving Generalization of CNN-Based Image Classification with Delineation Maps Using the CORF Push-Pull Inhibition Operator. 434-444 - Sravani Teeparthi, Venkatesh Jatla, Marios S. Pattichis, Sylvia Celedón-Pattichis, Carlos López Leiva:
Fast Hand Detection in Collaborative Learning Environments. 445-454 - Roberto Amoroso, Lorenzo Baraldi, Rita Cucchiara:
Assessing the Role of Boundary-Level Objectives in Indoor Semantic Segmentation. 455-465 - Samia Benyahia, Boudjelal Meftah, Olivier Lézoray:
Skin Lesion Classification Using Convolutional Neural Networks Based on Multi-Features Extraction. 466-475 - Leonardo Rossi, Akbar Karimi, Andrea Prati:
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing. 476-486 - Daniel Winter, Ang Bian, Xiaoyi Jiang:
Layer-Wise Relevance Propagation Based Sample Condensation for Kernel Machines. 487-496
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