Submission Deadline: Wednesday 17 Mar 2021
Conference Dates: Oct 11, 2021 - Oct 11, 2021
The main research concerns discussed in International Conference on Computer Vision are Artificial intelligence, Computer vision, Pattern recognition, Feature extraction and Machine learning. It focuses on Artificial intelligence research which is adjacent to topics in Algorithm. The study on Computer vision presented is investigated in conjunction with research in Robustness (computer science).
The concepts on Pattern recognition presented in the event can also apply to other research fields, including Contextual image classification, Facial recognition system and Feature (computer vision). Facial recognition system studies tackled cover an aspect of the field of Face (geometry). The conference facilitates discussions on Feature extraction that incorporate concepts from other fields like Artificial neural network and Visualization.
The conference facilitated presentations on Image segmentation research, particularly Scale-space segmentation and Segmentation-based object categorization.
The conference publications primarily focus on research topics in Artificial intelligence, Computer vision, Pattern recognition, Feature extraction and Object detection. The Artificial intelligence research tackled in the conference papers is interrelated with Machine learning which concerns subjects like Training set. While the conference papers focused on Pattern recognition, they were also able to explore topics like Facial recognition system, Cognitive neuroscience of visual object recognition and Feature (computer vision).
The objective of International Conference on Computer Vision is to combine knowledge in the areas of Artificial intelligence, Computer vision, Pattern recognition, Image (mathematics) and Machine learning. The studies on Artificial intelligence discussed can also contribute to research in the domains of Algorithm and Code (cryptography). The event dives deep in exploring the relationship between the study of Algorithm and Point cloud.
The event aims to address concerns in Computer vision, specifically in the areas of Object detection, Motion (physics), Pixel, Monocular and Pose. Domain (software engineering), Set (abstract data type) and Feature (computer vision) are some topics wherein Pattern recognition research discussed in it have an impact. It holds forums on Machine learning that merges themes from other disciplines such as Task (project management) and Benchmark (computing).
A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing at International Conference on Computer Vision (based on the number of publications) are:
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing at International Conference on Computer Vision (based on the number of publications) are:
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 5.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.39% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.75% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.78% of all publications and 37.08% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Oct 11, 2021 - Oct 11, 2021
ICCV 2021 : IEEE/CVF International Conference on Computer Vision
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