Pattern Recognition. ICPR International Workshops and Challenges

1. Front Matter

   Pages i-xx

   PDF

2. 3DHU 2020 - 3D Human Understanding

   1. Front Matter

      Pages 1-3

      PDF

   2. Subject Identification Across Large Expression Variations Using 3D Facial Landmarks

      • SK Rahatul Jannat, Diego Fabiano, Shaun Canavan, Tempestt Neal

      Pages 5-13

   3. 3D Human Pose Estimation Based on Multi-Input Multi-Output Convolutional Neural Network and Event Cameras: A Proof of Concept on the DHP19 Dataset

      • Alessandro Manilii, Leonardo Lucarelli, Riccardo Rosati, Luca Romeo, Adriano Mancini, Emanuele Frontoni

      Pages 14-25

   4. Image-Based Out-of-Distribution-Detector Principles on Graph-Based Input Data in Human Action Recognition

      • Jens Bayer, David Münch, Michael Arens

      Pages 26-40

   5. A Novel Joint Points and Silhouette-Based Method to Estimate 3D Human Pose and Shape

      • Zhongguo Li, Anders Heyden, Magnus Oskarsson

      Pages 41-56

   6. Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks

      • Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick

      Pages 57-71

   7. Towards Generalization of 3D Human Pose Estimation in the Wild

      • Renato Baptista, Alexandre Saint, Kassem Al Ismaeil, Djamila Aouada

      Pages 72-81

   8. Space-Time Triplet Loss Network for Dynamic 3D Face Verification

      • Anis Kacem, Hamza Ben Abdesslam, Kseniya Cherenkova, Djamila Aouada

      Pages 82-90

3. AIDP - Artificial Intelligence for Digital Pathology

   1. Front Matter

      Pages 91-95

      PDF

   2. Noise Robust Training of Segmentation Model Using Knowledge Distillation

      • Geetank Raipuria, Saikiran Bonthu, Nitin Singhal

      Pages 97-104

   3. Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations

      • Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori

      Pages 105-119

   4. Self-attentive Adversarial Stain Normalization

      • Aman Shrivastava, William Adorno, Yash Sharma, Lubaina Ehsan, S. Asad Ali, Sean R. Moore et al.

      Pages 120-140

   5. Certainty Pooling for Multiple Instance Learning

      • Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman

      Pages 141-153

   6. Classification of Noisy Free-Text Prostate Cancer Pathology Reports Using Natural Language Processing

      • Anjani Dhrangadhariya, Sebastian Otálora, Manfredo Atzori, Henning Müller

      Pages 154-166

   7. AI Slipping on Tiles: Data Leakage in Digital Pathology

      • Nicole Bussola, Alessia Marcolini, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello

      Pages 167-182

4. AIHA 2020 - International Workshop on Artificial Intelligence for Healthcare Applications

   1. Front Matter

      Pages 183-186

      PDF

   2. Predictive Medicine Using Interpretable Recurrent Neural Networks

      • André Ferreira, Sara C. Madeira, Marta Gromicho, Mamede de Carvalho, Susana Vinga, Alexandra M. Carvalho

      Pages 187-202

   3. Automated Detection of Adverse Drug Events from Older Patients’ Electronic Medical Records Using Text Mining

      • Nicola Colic, Patrick Beeler, Chantal Csajka, Vasiliki Foufi, Frederic Gaspar, Marie-Annick Le Pogam et al.

      Pages 203-211

   4. Length of Stay Prediction for Northern Italy COVID-19 Patients Based on Lab Tests and X-Ray Data

      • Mattia Chiari, Alfonso E. Gerevini, Roberto Maroldi, Matteo Olivato, Luca Putelli, Ivan Serina

      Pages 212-226

This 8-volumes set constitutes the refereed of the 25^th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.

• artificial intelligence
• computer networks
• computing methodologies
• computer systems
• computer vision
• deep learning
• education
• engineering
• Human-Computer Interaction (HCI)
• image analysis
• image processing
• image segmentation
• natural language processing
• surveillance
• machine learning
• forensics
• network protocols
• neural networks
• pattern recognition
• signal processing

• Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy

  Alberto Del Bimbo, Marco Bertini

• Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

  Rita Cucchiara, Roberto Vezzani

• Department of Computer Science, Boston University, Boston, USA

  Stan Sclaroff

• Dipartimento di Matematica e Informatica, University of Catania, Catania, Italy

  Giovanni Maria Farinella

• Cloud & AI, JD.COM, Beijing, China

  Tao Mei

• Computational Sciences Department, National Institute of Astrophysics, Optics and Electronics (INAOE), Tonantzintla, Mexico

  Hugo Jair Escalante

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