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ORCIDMediaEval 2020: Online Event
- Steven Hicks, Debesh Jha, Konstantin Pogorelov, Alba García Seco de Herrera, Dmitry Bogdanov, Pierre-Etienne Martin, Stelios Andreadis, Minh-Son Dao, Zhuoran Liu, José Vargas Quiros, Benjamin Kille, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2020 Workshop, Online, 14-15 December 2020. CEUR Workshop Proceedings 2882, CEUR-WS.org 2021
Medico Multimedia Task
- Debesh Jha, Steven Hicks, Krister Emanuelsen, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, Pål Halvorsen:
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation. - Adrian Krenzer, Frank Puppe:
Bigger Networks are not Always Better: Deep Convolutional Neural Networks for Automated Polyp Segmentation. - Vajira Thambawita, Steven Hicks, Pål Halvorsen, Michael A. Riegler:
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus. - Awadelrahman Mohamedelsadig Ali Ahmed:
Generative Adversarial Networks for Automatic Polyp Segmentation. - Rabindra Khadka:
Transfer of Knowledge: Fine-tuning for Polyp Segmentation with Attention. - Quoc-Huy Trinh, Minh-Van Nguyen, Thiet-Gia Huynh, Minh-Triet Tran:
HCMUS-Juniors 2020 at Medico Task in MediaEval 2020: Refined Deep Neural Network and U-Net for Polyps Segmentation. - Maxwell Hwang, Cai Wu, Kao-Shing Hwang, Yong Si Xu, Chien-Hsing Wu:
A Temporal-Spatial Attention Model for Medical Image Detection. - Debapriya Banik, Debotosh Bhattacharjee:
Deep Conditional Adversarial Learning for Polyp Segmentation. - Sahadev Poudel, Sang-Woong Lee:
Automatic Polyp Segmentation Using Channel-Spatial Attention with Deep Supervision. - Nikhil Kumar Tomar:
Automatic Polyp Segmentation Using Fully Convolutional Neural Network. - Ge-Peng Ji, Deng-Ping Fan, Tao Zhou, Geng Chen, Huazhu Fu, Ling Shao:
Automatic Polyp Segmentation via Parallel Reverse Attention Network. - George Batchkala, Sharib Ali:
Real-Time Polyp Segmentation Using U-Net with IoU Loss. - Syed Muhammad Faraz Ali, Muhammad Taha Khan, Syed Unaiz Haider, Talha Ahmed, Zeshan Khan, Muhammad Atif Tahir:
Depth-Wise Separable Atrous Convolution for Polyps Segmentation in Gastro-Intestinal Tract. - Tien-Phat Nguyen, Tan-Cong Nguyen, Gia-Han Diep, Minh-Quan Le, Hoang-Phuc Nguyen-Dinh, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS at Medico Automatic Polyp Segmentation Task 2020: PraNet and ResUnet++ for Polyps Segmentation. - Shruti Shrestha, Bishesh Khanal, Sharib Ali:
Ensemble U-Net Model for Efficient Polyp Segmentation. - Sabari Nathan, Suganya Ramamoorthy:
Efficient Supervision Net: Polyp Segmentation Using EfficientNet and Attention Unit. - Jaeyong Kang, Jeonghwan Gwak:
KD-ResUNet++: Automatic Polyp Segmentation via Self-Knowledge Distillation. - Saruar Alam, Nikhil Kumar Tomar, Aarati Thakur, Debesh Jha, Ashish Rauniyar:
Automatic Polyp Segmentation Using U-Net-ResNet50.
FakeNews
- Konstantin Pogorelov, Daniel Thilo Schroeder, Luk Burchard, Johannes Moe, Stefan Brenner, Petra Filkuková, Johannes Langguth:
FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020. - Manfred Moosleitner, Benjamin Murauer, Günther Specht:
Detecting Conspiracy Tweets Using Support Vector Machines. - Chahat Raj, Mihir Mehta:
MediaEval 2020: An Ensemble-based Multimodal Approach for Coronavirus and 5G Conspiracy Tweet Detection. - Andrey Malakhov, Alessandro Patruno, Stefano Bocconi:
Fake News Classification with BERT. - Nguyen Manh Duc Tuan, Pham Quang Nhat Minh:
FakeNews Detection Using Pre-trained Language Models and Graph Convolutional Networks. - Abdullah Hamid, Nasrullah Sheikh, Naina Said, Kashif Ahmad, Asma Gul, Laiq Hasan, Ala I. Al-Fuqaha:
Fake News Detection in Social Media Using Graph Neural Networks and NLP Techniques: A COVID-19 Use-Case. - Gullal Singh Cheema, Sherzod Hakimov, Ralph Ewerth:
TIB's Visual Analytics Group at MediaEval '20: Detecting Fake News on Corona Virus and 5G Conspiracy. - Lynn de Rijk:
You Said It? How Mis- and Disinformation Tweets Surrounding the Corona-5G-Conspiracy Communicate Through Implying. - Ferdinand Schaal, Jesper Phillips:
Using a Word Analysis Method and GNNs to Classify Misinformation Related to 5G-Conspiracy and the COVID-19 Pandemic. - Vincent Claveau:
Detecting Fake News in Tweets from Text and Propagation Graph: IRISA's Paritcipation to the FakeNews Task at MediaEval 2020. - Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth:
Evaluating Standard Classifiers for Detecting COVID-19 Related Misinformation. - Andrew Magill, Lia Nogueira de Moura, Maria Tomasso, Mirna Elizondo, Jelena Tesic:
Enriching Content Analysis of Tweets Using Community Discovery Graph Analysis. - Haoming Guo, Adam Ash, David Chung, Gerald Friedland:
Detecting Conspiracy Theories from Tweets: Textual and Structural Approaches. - Zeynep Pehlivan:
On the pursuit of Fake News : From Graph Convolutional Networks to Time Series. - Olga Papadopoulou, Giorgos Kordopatis-Zilos, Symeon Papadopoulos:
MeVer Team Tackling Corona Virus and 5G Conspiracy Using Ensemble Classification Based on BERT.
Predicting Media Memorability
- Alba García Seco de Herrera, Rukiye Savran Kiziltepe, Jon Chamberlain, Mihai Gabriel Constantin, Claire-Hélène Demarty, Faiyaz Doctor, Bogdan Ionescu, Alan F. Smeaton:
Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable? - Dazhan Xu, Xiaoyu Wu, Guoquan Sun:
Media Memorability Prediction Based on Machine Learning. - Phuc H. Le-Khac, Ayush K. Rai, Graham Healy, Alan F. Smeaton, Noel E. O'Connor:
Investigating Memorability of Dynamic Media. - Lorin Sweeney, Graham Healy, Alan F. Smeaton:
Leveraging Audio Gestalt to Predict Media Memorability. - Janadhip Jacutprakart, Rukiye Savran Kiziltepe, John Q. Gan, Giorgos Papanastasiou, Alba Garcia Seco de Herrera:
Essex-NLIP at MediaEval Predicting Media Memorability 2020 Task. - Tony Zhao, Irving Fang, Jeffrey Kim, Gerald Friedland:
Multi-Modal Ensemble Models for Predicting Video Memorability. - Alison Reboud, Ismail Harrando, Jorma Laaksonen, Raphaël Troncy:
Predicting Media Memorability with Audio, Video, and Text representations. - Ricardo Kleinlein, Cristina Luna Jiménez, Zoraida Callejas, Fernando Fernández Martínez:
Predicting Media Memorability from a Multimodal Late Fusion of Self-Attention and LSTM Models.
Emotions and Themes in Music
- Dmitry Bogdanov, Alastair Porter, Philip Tovstogan, Minz Won:
MediaEval 2020: Emotion and Theme Recognition in Music Using Jamendo. - Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle:
Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups. - Srividya Tirunellai Rajamani, Kumar T. Rajamani, Björn W. Schuller:
Emotion and Theme Recognition in Music Using Attention-Based Methods. - Tri-Nhan Do, Minh-Tri Nguyen, Hai-Dang Nguyen, Minh-Triet Tran, Xuan-Nam Cao:
HCMUS at MediaEval 2020: Emotion Classification Using Wavenet Feature with SpecAugment and EfficientNet. - Maurice Gerczuk, Shahin Amiriparian, Sandra Ottl, Srividya Tirunellai Rajamani, Björn W. Schuller:
Emotion and Themes Recognition in Music with Convolutional and Recurrent Attention-Blocks. - Dillon Knox, Timothy Greer, Benjamin Ma, Emily Kuo, Krishna Somandepalli, Shrikanth Narayanan:
MediaEval 2020 Emotion and Theme Recognition in Music Task: Loss Function Approaches for Multi-label Music Tagging. - Alish Dipani, Gaurav Iyer, Veeky Baths:
Recognizing Music Mood and Theme Using Convolutional Neural Networks and Attention.
Sports Video Classification
- Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Laurent Mascarilla, Jordan Calandre, Julien Morlier:
Sports Video Classification: Classification of Strokes in Table Tennis for MediaEval 2020. - Soichiro Sato, Masaki Aono:
Leveraging Human Pose Estimation Model for Stroke Classification in Table Tennis. - Jordan Calandre, Renaud Péteri, Laurent Mascarilla:
Four-Stream Network and Dynamic Images for Sports Video Classification: Classification of Strokes in Table Tennis. - Hai Nguyen-Truong, San Cao, N. A. Khoa Nguyen, Bang-Dang Pham, Hieu Dao, Minh-Quan Le, Hoang-Phuc Nguyen-Dinh, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS at MediaEval 2020: Ensembles of Temporal Deep Neural Networks for Table Tennis Strokes Classification Task. - Kadir Aktas, Mehmet Demirel, Marilin Moor, Johanna Olesk, Gholamreza Anbarjafari:
Spatio-Temporal Based Table Tennis Hit Assessment Using LSTM Algorithm. - Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Julien Morlier:
Classification of Strokes in Table Tennis with a Three Stream Spatio-Temporal CNN for MediaEval 2020.
Flood-Related Multimedia
- Stelios Andreadis, Ilias Gialampoukidis, Anastasios Karakostas, Stefanos Vrochidis, Ioannis Kompatsiaris, Roberto Fiorin, Daniele Norbiato, Michele Ferri:
The Flood-Related Multimedia Task at MediaEval 2020. - Rabiul Islam Jony, Alan Woodley:
Flood Detection in Twitter Using a Novel Learning Method for Neural Networks. - Theodore Nikoletopoulos, Claudia Wolff:
A Tweet Text Binary Artificial Neural Network Classifier. - Naina Said, Kashif Ahmad, Asma Gul, Nasir Ahmad, Ala I. Al-Fuqaha:
Floods Detection in Twitter Text and Images. - Firoj Alam, Zohaib Hassan, Kashif Ahmad, Asma Gul, Michael Reiglar, Nicola Conci, Ala I. Al-Fuqaha:
Flood Detection via Twitter Streams Using Textual and Visual Features. - Muhammad Hanif, Huzaifa Joozer, Muhammad Atif Tahir, Muhammad Rafi:
Ensemble Based Method for the Classification of Flooding Event Using Social Media Data.
Insight for Wellbeing
- Peijiang Zhao, Minh-Son Dao, Thanh Nguyen, Nguyen Thanh Binh, Duc-Tien Dang-Nguyen, Cathal Gurrin:
Overview of MediaEval 2020 Insights for Wellbeing: Multimodal Personal Health Lifelog Data Analysis. - Dat Q. Duong, Quang M. Le, Dat T. Nguyen:
A2QI: An Approach for Air Pollution Estimation in MediaEval 2020. - Trung-Quan Nguyen, Dang-Hieu Nguyen, Loc Tai Tan Nguyen:
Personal Air Quality Index Prediction Using Inverse Distance Weighting Method. - Trung-Quan Nguyen, Dang-Hieu Nguyen, Loc Tai Tan Nguyen:
Use Visual Features From Surrounding Scenes to Improve Personal Air Quality Data Prediction Performance. - Amel Ksibi, Amina Salhi, Ala Saleh D. Alluhaidan, Sahar A. El-Rahman:
Insights for Wellbeing: Predicting Personal Air Quality Index Using Regression Approach.
Pixel Privacy
- Zhuoran Liu, Zhengyu Zhao, Martha A. Larson, Laurent Amsaleg:
Pixel Privacy: Quality Camouflage for Social Images. - Zhengyu Zhao:
Fooling Blind Image Quality Assessment by Optimizing a Human-Understandable Color Filter. - Zhiqi Shen
, Muhammad Habibi, Shaojing Fan, Mohan S. Kankanhalli:
MediaEval 2020: Maintaining Human-Imperceptibility of Image Adversarial Attack by Using Human-Aware Sensitivity Map. - Minh-Khoi Pham, Hai-Tuan Ho-Nguyen, Trong-Thang Pham, Hung Vinh Tran, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS at Pixel Privacy 2020: Quality Camouflage with Back Propagation and Image Enhancement. - Benoît Bonnet, Teddy Furon, Patrick Bas:
Fooling an Automatic Image Quality Estimator.
No-Audio Multimodal Speech Detection Task
- Laura Cabrera Quiros, Jose Vargas Quiros, Hayley Hung:
No-Audio Multimodal Speech Detection Task at MediaEval 2020. - Xinsheng Wang, Jihua Zhu, Odette Scharenborg:
Multimodal Fusion of Body Movement Signals for No-audio Speech Detection.
NewsImages
- Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek:
News Images in MediaEval 2020. - Quang-Thuc Nguyen, Tuan-Duy Nguyen, Thang-Long Nguyen-Ho, Anh-Kiet Duong, Xuan-Nhat Hoang, Vinh-Thuyen Nguyen-Truong, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS at MediaEval 2020: Image-Text Fusion for Automatic News-Images Re-Matching.
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