Vše

Co hledáte?

Vše
Projekty
Výsledky výzkumu
Subjekty

Rychlé hledání

  • Projekty podpořené TA ČR
  • Významné projekty
  • Projekty s nejvyšší státní podporou
  • Aktuálně běžící projekty

Chytré vyhledávání

  • Takto najdu konkrétní +slovo
  • Takto z výsledků -slovo zcela vynechám
  • “Takto můžu najít celou frázi”

Reviewing the Review Process

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F21%3A00365122" target="_blank" >RIV/68407700:21730/21:00365122 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://sites.google.com/view/reviewing-the-review-process/home?authuser=0" target="_blank" >https://sites.google.com/view/reviewing-the-review-process/home?authuser=0</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Reviewing the Review Process

  • Popis výsledku v původním jazyce

    Over the last years, the field of Computer Vision has experienced a tremendous growth. This is evident in the ever-growing number of participants of the main Computer Vision conferences, as well as industrial and public interest in this area of research. As part of this growth, the number of paper submissions is increasing at a rapid pace. Unfortunately, the number of experienced reviewers and area chairs is not increasing at the same rate. This could be linked to the fact that many senior researchers are nowadays (partially) affiliated with industry, and thus do not have the time to be part of the reviewing process in senior roles and to educate their PhD students about writing reviews. Another reason is the ever-increasing range of topics presented at CVPR/ECCV/ICCV, which makes it harder and harder to find experts for each submission. As a result, the quality of the reviews seems to be decreasing, leading to more random decisions and thus frustration in the community. It is left to us as a research community to make an effort to actively work on increasing the quality of the review process. This tutorial is a follow-up to a successful CVPR 2020 tutorial (the video recording of the tutorial has been watched more than 15k times on YouTube). Last year’s tutorial had a broad focus, covering the process from writing a paper, going over writing reviews and rebuttals, and finally, to how reviews are used by Area Chairs (AC). Based on questions from the audience, this year’s edition focuses on the latter parts of the process: from an AC’s perspective: what is useful in a review and in a rebuttal? What are the types of reviews and discussions that are helpful in the decision process? from a program chair’s (PC) perspective: how can we improve the review and the decision process? How can we educate our authors, reviewers, and area chairs? How is the process currently structured and where are the current bottlenecks? In order to achieve these goals, we plan to provide diverse perspectives from both relatively young and well-established researchers, area chairs and program chairs from recent conferences. We believe that by providing multiple perspectives on the topic, attendees will be able to better understand the review process and, as a consequence, help us as a community to improve its quality. We hope that by educating the community, we will make the process more transparent, thus increasing the trust in the system.

  • Název v anglickém jazyce

    Reviewing the Review Process

  • Popis výsledku anglicky

    Over the last years, the field of Computer Vision has experienced a tremendous growth. This is evident in the ever-growing number of participants of the main Computer Vision conferences, as well as industrial and public interest in this area of research. As part of this growth, the number of paper submissions is increasing at a rapid pace. Unfortunately, the number of experienced reviewers and area chairs is not increasing at the same rate. This could be linked to the fact that many senior researchers are nowadays (partially) affiliated with industry, and thus do not have the time to be part of the reviewing process in senior roles and to educate their PhD students about writing reviews. Another reason is the ever-increasing range of topics presented at CVPR/ECCV/ICCV, which makes it harder and harder to find experts for each submission. As a result, the quality of the reviews seems to be decreasing, leading to more random decisions and thus frustration in the community. It is left to us as a research community to make an effort to actively work on increasing the quality of the review process. This tutorial is a follow-up to a successful CVPR 2020 tutorial (the video recording of the tutorial has been watched more than 15k times on YouTube). Last year’s tutorial had a broad focus, covering the process from writing a paper, going over writing reviews and rebuttals, and finally, to how reviews are used by Area Chairs (AC). Based on questions from the audience, this year’s edition focuses on the latter parts of the process: from an AC’s perspective: what is useful in a review and in a rebuttal? What are the types of reviews and discussions that are helpful in the decision process? from a program chair’s (PC) perspective: how can we improve the review and the decision process? How can we educate our authors, reviewers, and area chairs? How is the process currently structured and where are the current bottlenecks? In order to achieve these goals, we plan to provide diverse perspectives from both relatively young and well-established researchers, area chairs and program chairs from recent conferences. We believe that by providing multiple perspectives on the topic, attendees will be able to better understand the review process and, as a consequence, help us as a community to improve its quality. We hope that by educating the community, we will make the process more transparent, thus increasing the trust in the system.

Klasifikace

  • Druh

    W - Uspořádání workshopu

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2021

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Místo konání akce

    Virtual

  • Stát konání akce

    CA - Kanada

  • Datum zahájení akce

  • Datum ukončení akce

  • Celkový počet účastníků

    100

  • Počet zahraničních účastníků

    100

  • Typ akce podle státní přísl. účastníků

    WRD - Celosvětová akce