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ORCIDICPR 2020: Virtual Event / Milano, Italy - Workshops
- Alberto Del Bimbo
, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani:
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12663, Springer 2021, ISBN 978-3-030-68795-3
EDL-AI - Explainable Deep Learning/AI
- Clément Henin, Daniel Le Métayer:
A Multi-layered Approach for Tailored Black-Box Explanations. 5-19 - Eoin M. Kenny, Eoin D. Delaney, Derek Greene, Mark T. Keane:
Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective. 20-34 - Satya M. Muddamsetty, Mohammad N. S. Jahromi, Thomas B. Moeslund:
Expert Level Evaluations for Explainable AI (XAI) Methods in the Medical Domain. 35-46 - Adrien Halnaut, Romain Giot, Romain Bourqui, David Auber:
Samples Classification Analysis Across DNN Layers with Fractal Curves. 47-61 - Dragutin Petkovic, A. Alavi, D. Cai, M. Wong:
Random Forest Model and Sample Explainer for Non-experts in Machine Learning - Two Case Studies. 62-75 - Hyungsik Jung, Youngrock Oh, Jeonghyung Park, Min Soo Kim:
Jointly Optimize Positive and Negative Saliencies for Black Box Classifiers. 76-89 - Pengkai Zhu, Ruizhao Zhu, Samarth Mishra, Venkatesh Saligrama:
Low Dimensional Visual Attributes: An Interpretable Image Encoding. 90-102 - Federica Cruciani, Lorenza Brusini, Mauro Zucchelli, Gustavo Retuci Pinheiro, Francesco Setti, Ilaria Boscolo Galazzo, Rachid Deriche, Letícia Rittner, Massimiliano Calabrese, Gloria Menegaz:
Explainable 3D-CNN for Multiple Sclerosis Patients Stratification. 103-114 - Alejandro López-Cifuentes, Marcos Escudero-Viñolo, Andrija Gajic, Jesús Bescós:
Visualizing the Effect of Semantic Classes in the Attribution of Scene Recognition Models. 115-129 - Karim Huesmann, Luis Garcia Rodriguez, Lars Linsen, Benjamin Risse:
The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks. 130-145 - Kamila Abdiyeva, Martin Lukac, Narendra Ahuja:
Remove to Improve? 146-161 - Giang Nguyen, Shuan Chen, Tae Joon Jun, Daeyoung Kim:
Explaining How Deep Neural Networks Forget by Deep Visualization. 162-173 - Mikaël Jacquemont, Thomas Vuillaume, Alexandre Benoît, Gilles Maurin, Patrick Lambert:
Deep Learning for Astrophysics, Understanding the Impact of Attention on Variability Induced by Parameter Initialization. 174-188 - Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete:
A General Approach to Compute the Relevance of Middle-Level Input Features. 189-203 - Manjunatha Veerappa, Mathias Anneken, Nadia Burkart:
Evaluation of Interpretable Association Rule Mining Methods on Time-Series in the Maritime Domain. 204-218 - Gaëlle Jouis, Harold Mouchère, Fabien Picarougne, Alexandre Hardouin:
Anchors vs Attention: Comparing XAI on a Real-Life Use Case. 219-227 - Michele Scalas, Konrad Rieck, Giorgio Giacinto:
Explanation-Driven Characterization of Android Ransomware. 228-242 - Antonio Galli, Stefano Marrone, Vincenzo Moscato, Carlo Sansone:
Reliability of eXplainable Artificial Intelligence in Adversarial Perturbation Scenarios. 243-256 - Mourad Oussalah:
AI Explainability. A Bridge Between Machine Vision and Natural Language Processing. 257-273 - Oleksii Gorokhovatskyi, Olena Peredrii:
Recursive Division of Image for Explanation of Shallow CNN Models. 274-286
EgoApp 2020 - 2nd Workshop on Applications of Egocentric Vision 2020
- Peng-Yuan Kao, Kuan-Wei Tseng, Tian-Yi Shen, Yan-Bin Song, Kuan-Wen Chen, Shih-Wei Hu, Sheng-Wen Shih, Yi-Ping Hung:
Camera Ego-Positioning Using Sensor Fusion and Complementary Method. 291-304 - Yasser Dahou, Marouane Tliba, Kevin McGuinness, Noel E. O'Connor:
ATSal: An Attention Based Architecture for Saliency Prediction in 360$^\circ $ Videos. 305-320 - Yuta Ide, Tsuyohito Araki, Ryunosuke Hamada, Kazunori Ohno, Keiji Yanai:
Rescue Dog Action Recognition by Integrating Ego-Centric Video, Sound and Sensor Information. 321-333 - Alejandro Cartas, Estefanía Talavera, Petia Radeva, Mariella Dimiccoli:
Understanding Event Boundaries for Egocentric Activity Recognition from Photo-Streams. 334-347 - Tamás Süveges, Stephen J. McKenna:
Egomap: Hierarchical First-Person Semantic Mapping. 348-363
ETTAC 2020 - Workshop on Eye Tracking Techniques, Applications and Challenges
- Andre Golard, Sachin S. Talathi:
Ultrasound for Gaze Estimation. 369-376 - Gonzalo Garde, Andoni Larumbe-Bergera, Sonia Porta, Rafael Cabeza, Arantxa Villanueva:
Synthetic Gaze Data Augmentation for Improved User Calibration. 377-389 - Carlos E. L. Elmadjian, Candy Gonzales, Carlos H. Morimoto:
Eye Movement Classification with Temporal Convolutional Networks. 390-404 - Hristo Bakardzhiev, Marloes van der Burgt, Eduardo Martins, Bart van den Dool, Chyara Jansen, David van Scheppingen, Günter Wallner, Michael Burch:
A Web-Based Eye Tracking Data Visualization Tool. 405-419 - Takahiro Ueno, Minoru Nakayama:
Influence of Peripheral Vibration Stimulus on Viewing and Response Actions. 420-428 - Pawel Kasprowski, Katarzyna Harezlak, Piotr Fudalej, Pawel Fudalej:
Judging Qualification, Gender, and Age of the Observer Based on Gaze Patterns When Looking at Faces. 429-439 - Rosalinda Ricotti, Andrea Pella, Giovanni Elisei, Barbara Tagaste, Federico Bello, Giulia Fontana, Maria Rosaria Fiore, Mario Ciocca, Edoardo Mastella, Ester Orlandi, Guido Baroni:
Gaze Stability During Ocular Proton Therapy: Quantitative Evaluation Based on Eye Surface Surveillance Videos. 440-452 - Ádám Nárai, Kathleen Kay Amora, Zoltán Vidnyánszky, Béla Weiss:
Predicting Reading Speed from Eye-Movement Measures. 453-466 - János Szalma, Kathleen Kay Amora, Zoltán Vidnyánszky, Béla Weiss:
Investigating the Effect of Inter-letter Spacing Modulation on Data-Driven Detection of Developmental Dyslexia Based on Eye-Movement Correlates of Reading: A Machine Learning Approach. 467-481
FAPER - International Workshop on Fine Art Pattern Extraction and Recognition
- Giovanna Castellano, Gennaro Vessio:
A Brief Overview of Deep Learning Approaches to Pattern Extraction and Recognition in Paintings and Drawings. 487-501 - Eva Cetinic:
Iconographic Image Captioning for Artworks. 502-516 - Nitisha Jain, Christian Bartz, Tobias Bredow, Emanuel Metzenthin, Jona Otholt, Ralf Krestel:
Semantic Analysis of Cultural Heritage Data: Aligning Paintings and Descriptions in Art-Historic Collections. 517-530 - Hubert Lin, Mitchell van Zuijlen, Maarten W. A. Wijntjes, Sylvia C. Pont, Kavita Bala:
Insights from a Large-Scale Database of Material Depictions in Paintings. 531-545 - Nicolas Gonthier, Yann Gousseau, Saïd Ladjal:
An Analysis of the Transfer Learning of Convolutional Neural Networks for Artistic Images. 546-561 - Christian Bartz, Hendrik Rätz, Christoph Meinel:
Handwriting Classification for the Analysis of Art-Historical Documents. 562-576 - Shounak Roychowdhury:
Color Space Exploration of Paintings Using a Novel Probabilistic Divergence. 577-588 - Sinem Aslan, Luc Steels:
Identifying Centres of Interest in Paintings Using Alignment and Edge Detection - Case Studies on Works by Luc Tuymans. 589-603 - Tsegaye Misikir Tashu, Tomás Horváth:
Attention-Based Multi-modal Emotion Recognition from Art. 604-612 - Simone Teruggi, Francesco Fassi:
Machines Learning for Mixed Reality - The Milan Cathedral from Survey to Holograms. 613-627 - Paola Barra, Silvio Barra, Fabio Narducci:
From Fully Supervised to Blind Digital Anastylosis on DAFNE Dataset. 628-642 - Marco Fanfani, Carlo Colombo, Fabio Bellavia:
Restoration and Enhancement of Historical Stereo Photos Through Optical Flow. 643-656 - Meike Biendl, Aline Sindel, Thomas Klinke, Andreas Maier, Vincent Christlein:
Automatic Chain Line Segmentation in Historical Prints. 657-665 - Efstathios Adamopoulos, Fulvio Rinaudo:
Documenting the State of Preservation of Historical Stone Sculptures in Three Dimensions with Digital Tools. 666-673
FBE2020 - Workshop on Facial and Body Expressions, micro-expressions and behavior recognition
- Wanchuang Xia, Wenming Zheng, Yuan Zong, Xingxun Jiang:
Motion Attention Deep Transfer Network for Cross-database Micro-expression Recognition. 679-693 - Chiara Plizzari, Marco Cannici, Matteo Matteucci:
Spatial Temporal Transformer Network for Skeleton-Based Action Recognition. 694-701 - Suzana R. A. Beleza, Kazuhiro Fukui:
Slow Feature Subspace for Action Recognition. 702-716 - Yongpei Zhu, Hongwei Fan, Kehong Yuan:
Classification Mechanism of Convolutional Neural Network for Facial Expression Recognition. 717-729 - Hristo Valev, Alessio Gallucci, Tim Leufkens, Joyce Westerink, Corina Sas:
Applying Delaunay Triangulation Augmentation for Deep Learning Facial Expression Generation and Recognition. 730-740 - Peyman Tahghighi, Abbas Koochari, Masoume Jalali:
Deformable Convolutional LSTM for Human Body Emotion Recognition. 741-747 - Hongsheng Li, Weiwei Zhang, Guangming Zhu, Liang Zhang, Peiyi Shen, Juan Song:
Nonlinear Temporal Correlation Based Network for Action Recognition. 748-763
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