Abstract is missing.
- Sports Video Classification: Classification of Strokes in Table Tennis for MediaEval 2020Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Laurent Mascarilla, Jordan Calandre, Julien Morlier. [doi]
- Leveraging Audio Gestalt to Predict Media MemorabilityLorin Sweeney, Graham Healy, Alan F. Smeaton. [doi]
- Four-Stream Network and Dynamic Images for Sports Video Classification: Classification of Strokes in Table TennisJordan Calandre, Renaud Péteri, Laurent Mascarilla. [doi]
- HCMUS at Pixel Privacy 2020: Quality Camouflage with Back Propagation and Image EnhancementMinh-Khoi Pham, Hai-Tuan Ho-Nguyen, Trong-Thang Pham, Hung Vinh Tran, Hai Dang Nguyen, Minh-Triet Tran. [doi]
- Classification of Strokes in Table Tennis with a Three Stream Spatio-Temporal CNN for MediaEval 2020Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Julien Morlier. [doi]
- Predicting Media Memorability with Audio, Video, and Text representationsAlison Reboud, Ismail Harrando, Jorma Laaksonen, Raphaël Troncy. [doi]
- Emotion and Theme Recognition in Music Using Attention-Based MethodsSrividya Tirunellai Rajamani, Kumar Rajamani, Björn W. Schuller. [doi]
- Fooling an Automatic Image Quality EstimatorBenoît Bonnet, Teddy Furon, Patrick Bas. [doi]
- Real-Time Polyp Segmentation Using U-Net with IoU LossGeorge Batchkala, Sharib Ali. [doi]
- Automatic Polyp Segmentation via Parallel Reverse Attention NetworkGe-Peng Ji, Deng-Ping Fan, Tao Zhou 0002, Geng Chen 0001, Huazhu Fu, Ling Shao 0001. [doi]
- Automatic Polyp Segmentation Using U-Net-ResNet50Saruar Alam, Nikhil Kumar Tomar, Aarati Thakur, Debesh Jha, Ashish Rauniyar. [doi]
- HCMUS at Medico Automatic Polyp Segmentation Task 2020: PraNet and ResUnet++ for Polyps SegmentationTien-Phat Nguyen, Tan-Cong Nguyen, Gia-Han Diep, Minh-Quan Le, Hoang-Phuc Nguyen-Dinh, Hai Dang Nguyen, Minh-Triet Tran. [doi]
- Automatic Polyp Segmentation Using Fully Convolutional Neural NetworkNikhil Kumar Tomar. [doi]
- MediaEval 2020: Emotion and Theme Recognition in Music Using JamendoDmitry Bogdanov, Alastair Porter, Philip Tovstogan, Minz Won. [doi]
- Recognizing Music Mood and Theme Using Convolutional Neural Networks and AttentionAlish Dipani, Gaurav Iyer, Veeky Baths. [doi]
- Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?Alba García Seco de Herrera, Rukiye Savran Kiziltepe, Jon Chamberlain, Mihai Gabriel Constantin, Claire-Hélène Demarty, Faiyaz Doctor, Bogdan Ionescu, Alan F. Smeaton. [doi]
- HCMUS at MediaEval 2020: Emotion Classification Using Wavenet Feature with SpecAugment and EfficientNetTri-Nhan Do, Minh Tri Nguyen, Hai Dang Nguyen, Minh-Triet Tran, Xuan-Nam Cao. [doi]
- Investigating Memorability of Dynamic MediaPhuc H. Le-Khac, Ayush K. Rai, Graham Healy, Alan F. Smeaton, Noel E. O'Connor. [doi]
- Recognizing Song Mood and Theme: Leveraging Ensembles of Tag GroupsMichael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle. [doi]
- HCMUS at MediaEval 2020: Ensembles of Temporal Deep Neural Networks for Table Tennis Strokes Classification TaskHai 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. [doi]
- Use Visual Features From Surrounding Scenes to Improve Personal Air Quality Data Prediction PerformanceTrung-Quan Nguyen, Dang-Hieu Nguyen, Loc Tai Tan Nguyen. [doi]
- KD-ResUNet++: Automatic Polyp Segmentation via Self-Knowledge DistillationJaeyong Kang, Jeonghwan Gwak. [doi]
- MediaEval 2020 Emotion and Theme Recognition in Music Task: Loss Function Approaches for Multi-label Music TaggingDillon Knox, Timothy Greer, Benjamin Ma, Emily Kuo, Krishna Somandepalli, Shrikanth Narayanan. [doi]
- Flood Detection via Twitter Streams Using Textual and Visual FeaturesFiroj Alam, Zohaib Hassan, Kashif Ahmad, Asma Gul, Michael Reiglar, Nicola Conci, Ala I. Al-Fuqaha. [doi]
- Using a Word Analysis Method and GNNs to Classify Misinformation Related to 5G-Conspiracy and the COVID-19 PandemicFerdinand Schaal, Jesper Phillips. [doi]
- HCMUS-Juniors 2020 at Medico Task in MediaEval 2020: Refined Deep Neural Network and U-Net for Polyps SegmentationQuoc-Huy Trinh, Minh Van Nguyen, Thiet-Gia Huynh, Minh-Triet Tran. [doi]
- MeVer Team Tackling Corona Virus and 5G Conspiracy Using Ensemble Classification Based on BERTOlga Papadopoulou, Giorgos Kordopatis-Zilos, Symeon Papadopoulos. [doi]
- The Flood-Related Multimedia Task at MediaEval 2020Stelios Andreadis, Ilias Gialampoukidis, Anastasios Karakostas, Stefanos Vrochidis, Ioannis Kompatsiaris, Roberto Fiorin, Daniele Norbiato, Michele Ferri. [doi]
- Insights for Wellbeing: Predicting Personal Air Quality Index Using Regression ApproachAmel Ksibi, Amina Salhi, Ala Saleh D. Alluhaidan, Sahar A. El Rahman. [doi]
- Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise FocusVajira Thambawita, Steven Hicks, Pål Halvorsen, Michael A. Riegler. [doi]
- News Images in MediaEval 2020Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek. [doi]
- A Temporal-Spatial Attention Model for Medical Image DetectionMaxwell Hwang, Cai Wu, Kao-Shing Hwang, Yong Si Xu, Chien-Hsing Wu. [doi]
- Efficient Supervision Net: Polyp Segmentation Using EfficientNet and Attention UnitSabari Nathan, Suganya Ramamoorthy. [doi]
- No-Audio Multimodal Speech Detection Task at MediaEval 2020Laura Cabrera Quiros, Jose Vargas Quiros, Hayley Hung. [doi]
- Spatio-Temporal Based Table Tennis Hit Assessment Using LSTM AlgorithmKadir Aktas, Mehmet Demirel, Marilin Moor, Johanna Olesk, Gholamreza Anbarjafari. [doi]
- Detecting Conspiracy Theories from Tweets: Textual and Structural ApproachesHaoming Guo, Adam Ash, David Chung, Gerald Friedland. [doi]
- HCMUS at MediaEval 2020: Image-Text Fusion for Automatic News-Images Re-MatchingQuang-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. [doi]
- Automatic Polyp Segmentation Using Channel-Spatial Attention with Deep SupervisionSahadev Poudel, Sang-Woong Lee. [doi]
- FakeNews Detection Using Pre-trained Language Models and Graph Convolutional NetworksNguyen Manh Duc Tuan, Pham Quang Nhat Minh. [doi]
- Multimodal Fusion of Body Movement Signals for No-audio Speech DetectionXinsheng Wang, Jihua Zhu, Odette Scharenborg. [doi]
- Pixel Privacy: Quality Camouflage for Social ImagesZhuoran Liu, Zhengyu Zhao 0001, Martha A. Larson, Laurent Amsaleg. [doi]
- A Tweet Text Binary Artificial Neural Network ClassifierTheodore Nikoletopoulos, Claudia Wolff. [doi]
- Multi-Modal Ensemble Models for Predicting Video MemorabilityTony Zhao, Irving Fang, Jeffrey Kim, Gerald Friedland. [doi]
- MediaEval 2020: Maintaining Human-Imperceptibility of Image Adversarial Attack by Using Human-Aware Sensitivity MapZhiqi Shen, Muhammad Habibi, Shaojing Fan, Mohan S. Kankanhalli. [doi]
- Depth-Wise Separable Atrous Convolution for Polyps Segmentation in Gastro-Intestinal TractSyed Muhammad Faraz Ali, Muhammad Taha Khan, Syed Unaiz Haider, Talha Ahmed, Zeshan Khan, Muhammad Atif Tahir. [doi]
- Detecting Fake News in Tweets from Text and Propagation Graph: IRISA's Paritcipation to the FakeNews Task at MediaEval 2020Vincent Claveau. [doi]
- Essex-NLIP at MediaEval Predicting Media Memorability 2020 TaskJanadhip Jacutprakart, Rukiye Savran Kiziltepe, John Q. Gan, Giorgos Papanastasiou, Alba Garcia Seco de Herrera. [doi]
- Media Memorability Prediction Based on Machine LearningDazhan Xu, Xiaoyu Wu, Guoquan Sun. [doi]
- Ensemble U-Net Model for Efficient Polyp SegmentationShruti Shrestha, Bishesh Khanal, Sharib Ali. [doi]
- Emotion and Themes Recognition in Music with Convolutional and Recurrent Attention-BlocksMaurice Gerczuk, Shahin Amiriparian, Sandra Ottl, Srividya Tirunellai Rajamani, Björn W. Schuller. [doi]
- TIB's Visual Analytics Group at MediaEval '20: Detecting Fake News on Corona Virus and 5G ConspiracyGullal Singh Cheema, Sherzod Hakimov, Ralph Ewerth. [doi]
- Fake News Detection in Social Media Using Graph Neural Networks and NLP Techniques: A COVID-19 Use-CaseAbdullah Hamid, Nasrullah Sheikh, Naina Said, Kashif Ahmad, Asma Gul, Laiq Hasan, Ala I. Al-Fuqaha. [doi]
- Bigger Networks are not Always Better: Deep Convolutional Neural Networks for Automated Polyp SegmentationAdrian Krenzer, Frank Puppe. [doi]
- Medico Multimedia Task at MediaEval 2020: Automatic Polyp SegmentationDebesh Jha, Steven Hicks, Krister Emanuelsen, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, Pål Halvorsen. [doi]
- Floods Detection in Twitter Text and ImagesNaina Said, Kashif Ahmad, Asma Gul, Nasir Ahmad, Ala I. Al-Fuqaha. [doi]
- Ensemble Based Method for the Classification of Flooding Event Using Social Media DataMuhammad Hanif, Huzaifa Joozer, Muhammad Atif Tahir, Muhammad Rafi. [doi]
- Fooling Blind Image Quality Assessment by Optimizing a Human-Understandable Color FilterZhengyu Zhao 0001. [doi]
- Evaluating Standard Classifiers for Detecting COVID-19 Related MisinformationDaniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth. [doi]
- A2QI: An Approach for Air Pollution Estimation in MediaEval 2020Dat Q. Duong, Quang M. Le, Dat T. Nguyen. [doi]
- You Said It? How Mis- and Disinformation Tweets Surrounding the Corona-5G-Conspiracy Communicate Through ImplyingLynn de Rijk. [doi]
- Enriching Content Analysis of Tweets Using Community Discovery Graph AnalysisAndrew Magill, Lia Nogueira de Moura, Maria Tomasso, Mirna Elizondo, Jelena Tesic. [doi]
- MediaEval 2020: An Ensemble-based Multimodal Approach for Coronavirus and 5G Conspiracy Tweet DetectionChahat Raj, Mihir Mehta. [doi]
- Leveraging Human Pose Estimation Model for Stroke Classification in Table TennisSoichiro Sato, Masaki Aono. [doi]
- Fake News Classification with BERTAndrey Malakhov, Alessandro Patruno, Stefano Bocconi. [doi]
- Transfer of Knowledge: Fine-tuning for Polyp Segmentation with AttentionRabindra Khadka. [doi]
- On the pursuit of Fake News : From Graph Convolutional Networks to Time SeriesZeynep Pehlivan. [doi]
- Flood Detection in Twitter Using a Novel Learning Method for Neural NetworksRabiul Islam Jony, Alan Woodley. [doi]
- Detecting Conspiracy Tweets Using Support Vector MachinesManfred Moosleitner, Benjamin Murauer, Günther Specht. [doi]
- FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020Konstantin Pogorelov, Daniel Thilo Schroeder, Luk Burchard, Johannes Moe, Stefan Brenner, Petra Filkukova, Johannes Langguth. [doi]
- Deep Conditional Adversarial Learning for Polyp SegmentationDebapriya Banik, Debotosh Bhattacharjee. [doi]
- Personal Air Quality Index Prediction Using Inverse Distance Weighting MethodTrung-Quan Nguyen, Dang-Hieu Nguyen, Loc Tai Tan Nguyen. [doi]
- Generative Adversarial Networks for Automatic Polyp SegmentationAwadelrahman Mohamedelsadig Ali Ahmed. [doi]
- Overview of MediaEval 2020 Insights for Wellbeing: Multimodal Personal Health Lifelog Data AnalysisPeijiang Zhao, Minh-Son Dao, Thanh Nguyen, Thanh Binh Nguyen, Duc-Tien Dang-Nguyen, Cathal Gurrin. [doi]
- Predicting Media Memorability from a Multimodal Late Fusion of Self-Attention and LSTM ModelsRicardo Kleinlein, Cristina Luna Jiménez, Zoraida Callejas, Fernando Fernández-Martínez. [doi]