These are the distinctive mentions awarded at MediaEval.

2021

The papers, videos, and presentations are not yet published. We will update the details as they become available.

To Omar Meriwani (Real Sciences)

  • For: For his creativity on taking one step-forward using the task data and exploring other approaches.
  • From: The organizers of Emerging News task

To Hao Hao Tan (team Mirable)

  • For: Showing the value of additional input representations describing tonality
  • From: The Organizers of Emotions and Themes in Music Task

To Cláudio, Rui, and David (Team NewsSeek-NOVA)

  • For: Teaching a Transformer to Recognize Faces
  • From: The Organizers of the News Images Task

To SELAB-HCMUS

  • For: Amount of effort and diverse out-of box approaches is testament to the fact that they achieved best results
  • From: Organizers of the task: Visual Sentiment Analysis: A Natural Disaster Use-case

To Youri Peskine, Giulio Alfarano, Ismail Harrando, Paolo Papotti and Raphaël Troncy (team D2KLab)

  • For: For the best task results achieved via effective ensembling a swarm of transformer-based models
  • From: Organizers of the task: FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task

To Thomas Girault, Cheikh Brahim El Vaigh, Cyrielle Mallart and Duc Hau Nguyen (team Deltamap)

  • For: For the successful use of the prompt-based learning NLP paradigm on top of toxicity trained-model
  • From: Organizers of the task: FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task

To Zeynep Pehlivan (team FakeINA)

  • For: For the fresh look at the task and successful solving pure NLP task in GNN domain
  • From: Organizers of the task: FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task

To Muhammad Asif Ayub, Khubaib Ahmad, Kashif Ahmad, Nasir Ahmad, and Ala Al-Fuqaha (CSEI team)

  • For: Their idea to translate Italian tweets with positive label to English and then back to Italian to increase and balance the dataset
  • From: Organizers of the task WaterMM: Water Quality in Social Multimedia

To Yijun Qian, Lijun Yu, Wenhe Liu and Alexander Hauptmann

  • For: Their ablation method, quality paper and top rank in the task
  • From: Organizers of the Sports Video task

To Alison Reboud, Ismail Harrando, Jorma Laaksonen and Raphaël Troncy

  • For: For exploring interesting concepts such as perplexity and achieving top scores in a number of subtasks.
  • From: Organizers of the task: Predicting Media Memorability

To Ali Akbar, Muhammad Atif Tahir, Muhammad Rafi

  • For: Their detailed preprocessing and validation steps, taking risk to attempt all three subtasks, and top ranking in the task.
  • From: Organizers of the task: Insight for Wellbeing: Cross-Data Analytics for (transboundary) Haze Prediction

To Andrea Storås (SimulaMet)

  • For: For her unique submission on generating segmentation masks unsupervised.
  • From: Organizers of the task: Medico: Transparency in Medical Image Segmentation

To Felicia Ly Jacobsen (University of Oslo)

  • For: For making her submission more transparent by measuring uncertainty in the predicted segmentation masks.
  • From: Organizers of the task: Medico: Transparency in Medical Image Segmentation

2020

To SAIL-MiM-USC

To Linkmedia

To MG-UCB

To DL-TXST

To FIG

To FAST-NU-DS

To AISIA

To QHL-UIT

To AI-JMU

To All Medico Participants

  • For: Making this the biggest year for Medico despite this year’s challenges and it being online.
  • From: Medico Task Organizers

To DCU-Audio

To MG-UCB

To HCMUS_Team

To Linkmedia

To iCV-UT

To Toyohashi University of Technology