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ORCIDMediaEval 2021: Online Event
- Steven Hicks, Konstantin Pogorelov, Andreas Lommatzsch, Alba García Seco de Herrera, Pierre-Etienne Martin, Syed Zohaib Hassan, Alastair Porter, Asem Kasem, Stelios Andreadis, Mathias Lux, Marc Gallofré Ocaña, Alex Liu, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2021 Workshop, Online, 13-15 December 2021. CEUR Workshop Proceedings 3181, CEUR-WS.org 2022
FakeNews
- Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Johannes Langguth:
FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021. - Pascal Schröder:
Don't Just Drop Them: Function Words as Features in COVID-19 Related Fake News Classification on Twitter. - Yuta Yanagi, Ryohei Orihara, Yasuyuki Tahara, Yuichi Sei, Akihiko Ohsuga:
Classifying COVID-19 Conspiracy Tweets with Word Embedding and BERT. - Zeshan Khan, Umar Naseer, Muhammad Atif Tahir:
Short Text Classification using TF-IDF Features and Fast Text Learner. - Zeynep Pehlivan:
On The Pursuit of Fake News : Graph Neural Network meets NLP. - Muhieddine Shebaro, Jason Oliver, Tomiwa Olarewaju, Jelena Tesic:
DL-TXST Fake News: Enhancing Tweet Content Classification with Adapted Language Models. - Tuan-An To, Nham-Tan Nguyen, Dinh-Khoi Vo, Nhat-Quynh Le-Pham, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS MediaEval 2021: Multi-Model Decision Method Applied on Data Augmentation for COVID-19 Conspiracy Theories Classification. - Youri Peskine, Giulio Alfarano, Ismail Harrando, Paolo Papotti, Raphaël Troncy:
Detecting COVID-19-Related Conspiracy Theories in Tweets. - Manfred Moosleitner, Benjamin Murauer:
On the Performance of Different Text Classification Strategies on Conspiracy Classification in Social Media. - Cheikh Brahim El Vaigh, Thomas Girault, Cyrielle Mallart, Duc Hau Nguyen:
Detecting Fake News Conspiracies with Multitask and Prompt-Based Learning. - Olga Papadopoulou, Symeon Papadopoulos:
MeVer team tackling Corona virus and Conspiracies using Ensemble Classification. - Haoming Guo, Tianyi Huang, Huixuan Huang, Mingyue Fan, Gerald Friedland:
Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF. - Tuan-Luc Huynh, Nhat-Khang Ngô, Phu-Van Nguyen, Thien-Tri Cao, Thanh-Danh Le, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS at MediaEval2021: Content-Based Misinformation Detection Using ContextualizedWord Embedding from BERT.
NewsImages
- Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen:
News Images in MediaEval 2021. - Tom Sühr, Ajay Madhavanr, Nasim Jamshidi Avanaki, René Berk, Andreas Lommatzsch:
Image-Text Rematching for News Items using Optimized Embeddings and CNNs in MediaEval NewsImages 2021. - Yuta Fukatsu, Masaki Aono:
Image-Text Re-Matching Using Swin Transformer and DistilBERT. - Mingliang Liang, Martha A. Larson:
Exploring a Pre-trained Model for Re-Matching News Texts and Images. - Lidia Pivovarova, Elaine Zosa:
Visual Topic Modelling for NewsImage Task at MediaEval 2021. - Cláudio Bartolomeu, Rui Nóbrega, David Semedo:
NewsSeek-NOVA at MediaEval 2021: Context-enriched Multimodal Transformers For News Images Re-matching. - Kani Abdul, Kiran Kiran, Max Rudat, Alexandros Vasileiou, Andreas Lommatzsch:
Methods for Text-Image-Rematching using Pair-wise Similarity and Canonical Similarity Analysis. - Thien-Tri Cao, Nhat-Khang Ngô, Thanh Danh Le, Tuan-Luc Huynh, Ngoc Thien Nguyen, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS at MediaEval 2021: Fine-tuning CLIP for Automatic News-Images Re-Matching. - Yuxiao Zhou, Andres Gonzalez, Parisa Tabassum, Jelena Tesic:
DL-TXST NewsImages: Contextual Feature Enrichment for Image-Text Re-matching. - Martin Ludwig Zehetner, Mohamed Amine Dhiab:
Deep Embedding-based Multimodal Matching for News Articles: Exploring the Effects of Transfer Learning & Data Augmentation.
Medico
- Steven Hicks, Debesh Jha, Vajira Thambawita, Hugo Hammer, Thomas de Lange, Sravanthi Parasa, Michael Riegler, Pål Halvorsen:
Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation. - Andrea M. Storås:
Unsupervised Image Segmentation via Self-Supervised Learning Image Classification. - Felicia Ly Jacobsen:
Predictive Uncertainty Masks from Deep Ensembles in Automated Polyp Segmentation. - Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Minh-Van Nguyen, Van-Son Ho, Tan-Cong Nguyen, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS-Juniors at Medico Polyp Segmentation Task 2021: Efficient U-Net for Polyps Segmentation. - Zeshan Khan, Mubasher Khan, Mubashir Yasin, Muhammad Hassan, Muhammad Atif Tahir:
Medico 2021: Medical Image Augmentation and Segmentation using Combination of Segmentation Neural Networks. - Saurab Rauniyar, Abhishek Srivastava, Vabesh Kumar Jha, Ritika Kumari Jha, Debesh Jha, Ashish Rauniyar:
Automated Polyp Segmentation in Colonoscopy using MSRFNet. - Sy-Phuc Pham, Hyung-Jeong Yang, Duy-Phuong Dao, Soo-Hyung Kim, Guee-Sang Lee:
A Study on Test-Time Augmentation and Attention Mechanism in DeepLabv3+ for Deep Learning-Based Segmentation. - Nhat-Khang Ngô, Tuan-Luc Huynh, Thanh-Danh Le, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS at MediaEval2021: Polyps Segmentation using TransFuse with Focal Tversky Loss. - E-Ro Nguyen, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS at MediaEval2021: PointRend with Attention Fusion Refinement for Polyps Segmentation.
Predicting Media Memorability
- Rukiye Savran Kiziltepe, Mihai Gabriel Constantin, Claire-Hélène Demarty, Graham Healy, Camilo Fosco, Alba García Seco de Herrera, Sebastian Halder, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Lorin Sweeney:
Overview of The MediaEval 2021 Predicting Media Memorability Task. - Lorin Sweeney, Ana Matran-Fernandez, Sebastian Halder, Alba Garcia Seco de Herrera, Alan F. Smeaton, Graham Healy:
Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability. - Youwei Lu, Xiaoyu Wu:
Cross-modal Interaction for Video Memorability Prediction. - E-Ro Nguyen, Hai-Dang Huynh-Lam, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS at MediaEval2021: Attention-based Hierarchical Fusion Network for Predicting Media Memorability. - Lorin Sweeney, Graham Healy, Alan F. Smeaton:
Predicting Media Memorability: Comparing Visual, Textual, and Auditory Features. - Ricardo Kleinlein, Cristina Luna Jiménez, Fernando Fernández Martínez:
THAU-UPM at MediaEval 2021: From Video Semantics To Memorability Using Pretrained Transformers. - Alison Reboud, Ismail Harrando, Jorma Laaksonen, Raphaël Troncy:
Exploring Multimodality, Perplexity and Explainability for Memorability Prediction. - Mihai Gabriel Constantin, Bogdan Ionescu:
Using Vision Transformers and Memorable Moments for the Prediction of Video Memorability.
Sports Video
- Pierre-Etienne Martin, Jordan Calandre, Boris Mansencal, Jenny Benois-Pineau, Renaud Péteri, Laurent Mascarilla, Julien Morlier:
Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from videos for MediaEval 2021. - Pierre-Etienne Martin:
Spatio-Temporal CNN Baseline Method for the Sports Video Task of MediaEval 2021 Benchmark. - Trong-Tung Nguyen, Thanh-Son Nguyen, Gia-Bao Dinh Ho, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS at MediaEval 2021: Ensembles of Action Recognition Networks with Prior Knowledge for Table Tennis Strokes Classification Task. - Bhuvana J, Mirnalinee T. T, Bharathi B, Jayasooryan S, Lokesh N. N:
YOLOV5 for Stroke Detection and Classification in Table Tennis. - Yijun Qian, Lijun Yu, Wenhe Liu, Alexander Hauptmann:
Learning Unbiased Transformer for Long-Tail Sports Action Classification. - Anam Zahra, Pierre-Etienne Martin:
Two Stream Network for Stroke Detection in Table Tennis.
Visual Sentiment Analysis
- Syed Zohaib Hassan, Kashif Ahmad, Michael Riegler, Steven Hicks, Nicola Conci, Pål Halvorsen, Ala I. Al-Fuqaha:
Visual Sentiment Analysis: A Natural Disaster Use-case Task at MediaEval 2021. - Alexandros Pournaras, Nikolaos Gkalelis, Damianos Galanopoulos, Vasileios Mezaris:
Combining Multiple Deep-learning-based Image Features for Visual Sentiment Analysis. - Khubaib Ahmad, Muhammad Asif Ayub, Kashif Ahmad, Ala I. Al-Fuqaha, Nasir Ahmad:
Deep Models for Visual Sentiment Analysis of Disaster-related Multimedia Content. - Tetsuya Asakawa, Riku Tsuneda, Masaki Aono:
Visual Sentiment Analysis Multiplying Deep learning and Vision Transformers. - Mohsin Ali, Muhammad Hanif, Muhammad Atif Tahir, Muhammad Nouman Durrani, Muhammad Rafi:
Disaster based Visual Sentiment Analysis using Deep Learning. - Bang-Dang Pham, Nhat-Tan Bui, Minh-Khoi Pham, Pham Van Ngoan, Truong-Hai Nguyen, Thang-Long Nguyen-Ho, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS at MediaEval 2021: Efficient methods of Metadata Embedding and Augmentation for Visual Sentiment Analysis.
Emotions and Themes in Music
- Philip Tovstogan, Dmitry Bogdanov, Alastair Porter:
MediaEval 2021: Emotion and Theme Recognition in Music Using Jamendo. - Maximilian Mayerl, Michael Vötter, Andreas Peintner, Günther Specht, Eva Zangerle:
Recognizing Song Mood and Theme: Clustering-based Ensembles. - Hao Hao Tan:
Semi-Supervised Music Emotion Recognition using Noisy Student Training and Harmonic Pitch Class Profiles. - Vincent Bour:
Frequency Dependent Convolutions for Music Tagging. - Phu-Thinh Pham, Minh-Hieu Huynh, Hai-Dang Nguyen, Minh-Triet Tran:
SELAB-HCMUS at MediaEval 2021: Music Theme and Emotion Classification with Co-teaching Training Strategy.
Insight for Wellbeing
- Asem Kasem, Minh-Son Dao, Effa Nabilla Aziz, Duc-Tien Dang-Nguyen, Cathal Gurrin, Minh-Triet Tran, Nguyen Thanh Binh, Wida Suhaili:
Overview of Insight for Wellbeing Task at MediaEval 2021: Cross-Data Analytics for Transboundary Haze Prediction. - Minh-Anh Ton-Thien, Chuong Thi Nguyen, Quang M. Le, Dat Q. Duong:
Air Quality Estimation Using LSTM and An Approach for Data Processing Techniques. - Ali Akbar, Muhammad Atif Tahir, Muhammad Rafi:
Towards Time Series Forecasting of Cross-Data Analytics for Haze Prediction. - Huu-Vinh Nguyen, Thi Thuy Nga Duong:
Insights for Wellbeing: Predicting PM10 Values Using Stacking Ensemble Model. - Thinh Nguyen, Nazmudeen Mohamed Saleem:
Multimodal Deep Learning for Transboundary Haze Prediction.
WaterMM
- Stelios Andreadis, Ilias Gialampoukidis, Aristeidis Bozas, Anastasia Moumtzidou, Roberto Fiorin, Francesca Lombardo, Anastasios Karakostas, Daniele Norbiato, Stefanos Vrochidis, Michele Ferri, Ioannis Kompatsiaris:
WaterMM: Water Quality in Social Multimedia Task at MediaEval 2021. - Muhammad Asif Ayub, Khubaib Ahmad, Kashif Ahmad, Nasir Ahmad, Ala I. Al-Fuqaha:
NLP Techniques for Water Quality Analysis in Social Media Content. - Muhammad Hanif, Ammar Khawer, Muhammad Atif Tahir, Muhammad Rafi:
Deep Learning Based Framework for Classification of Water Quality in Social Media Data.
Emotional Mario
- Mathias Lux, Michael Riegler, Steven Hicks, Duc-Tien Dang-Nguyen, Kristine Jørgensen, Vajira Thambawita, Pål Halvorsen:
Emotional Mario Task at MediaEval 2021. - Mutaz Alshaer, Kseniia Harshina, Veit Isopp:
Emotional Mario: A Games Analytics Challenge: MediaEval 2021. - Van-Tu Ninh, Tu-Khiem Le, Manh-Duy Nguyen, Sinéad Smyth, Graham Healy, Cathal Gurrin:
A Preliminary Assessment of Game Event Detection in Emotional Mario Task at MediaEval 2021.
Emerging News
- Marc Gallofré Ocaña, Andreas L. Opdahl, Duc-Tien Dang-Nguyen:
Emerging News task: Detecting emerging events from social media and news feeds. - Omar Meriwani:
Mediaeval 2021 Emerging News: Detection of Emerging News from Live News Stream Based on Categorization of News Annotations.
Video Data Privacy
- Alex Liu, Andrew Boka, Asal Baragchizadeh, Chandini Muthukumar, Victoria Huang, Arjun Sarup, Regina Ferrell, Gerald Friedland, Thomas P. Karnowski, Meredith Lee, Alice J. O'Toole:
Overview Paper for Driving Road Safety Forward: Video Data Privacy Task at MediaEval 2021. - Minh-Khoi Pham, Thang-Long Nguyen-Ho, Trong-Thang Pham, Hai-Tuan Ho-Nguyen, Hai-Dang Nguyen, Minh-Triet Tran:
HCMUS at MediaEval 2021: Facial Data De-identification with Adversarial Generation and Perturbation Methods.
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