Macau SAR, China
Submission Deadline: Wednesday 06 Jul 2022
Conference Dates: Dec 04, 2022 - Dec 08, 2022
The scientific interests tackled in the conference are Artificial intelligence, Computer vision, Pattern recognition, Image (mathematics) and Segmentation. Artificial intelligence research presented in the event encompasses a variety of subjects, including Algorithm and Machine learning. Asian Conference on Computer Vision facilitated presentations on Computer vision research, particularly Object (computer science), Tracking (particle physics), Motion estimation, Real image and Face (geometry).
It focuses on Pattern recognition research which is adjacent to topics in Facial recognition system. Image segmentation and Scale-space segmentation are among the areas of Segmentation tackled. Scale-space segmentation research is the primary subject tackled in Asian Conference on Computer Vision with a focus on Segmentation-based object categorization.
The most cited publications mostly deal with topics like Artificial intelligence, Computer vision, Pattern recognition, Machine learning and Convolutional neural network. Most of the works presented in the most cited articles deal with Computer vision but they intersect with the subject of Benchmark (computing). The most cited publications explore topics in Pattern recognition which can be helpful for research in disciplines like Local binary patterns, Feature (computer vision) and Robustness (computer science).
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 Asian 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 Asian 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 2016 edition, 2.53% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.48% were posted by at least one author from the top 10 institutions publishing at the conference. Another 8.52% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.11% of all publications and 48.89% 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.
Asian Conference on Computer Vision
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