Tel Aviv, Israel
Submission Deadline: Monday 07 Mar 2022
Conference Dates: Oct 24, 2022 - Oct 28, 2022
The conference aims to foster the development of research in Artificial intelligence, Computer vision, Pattern recognition, Image (mathematics) and Machine learning. The event facilitated presentations on Artificial intelligence research, particularly Segmentation, Object (computer science), Deep learning, Feature (computer vision) and Convolutional neural network. The conference concentrated on Segmentation research, specifically Image segmentation and Scale-space segmentation.
Pixel, Tracking (particle physics), Pose, Object detection and Optical flow are all aspects of Computer vision discussed in the event. Topics in Pattern recognition explored in the conference were investigated in conjunction with research in Facial recognition system, Face (geometry), Representation (mathematics) and Benchmark (computing).
The conference publications primarily tackle Artificial intelligence, Computer vision, Pattern recognition, Machine learning and Image (mathematics). Issues in Pattern recognition were discussed in the conference articles, taking into consideration concepts from other disciplines like Feature (computer vision), Representation (mathematics), Facial recognition system, Face (geometry) and Pascal (programming language). The conference articles explore issues in Machine learning which can be linked to other research areas like Cognitive neuroscience of visual object recognition and Training set.
Artificial intelligence, Pattern recognition, Computer vision, Machine learning and Image (mathematics) are among the topics commonly tackled in European Conference on Computer Vision. The studies tackled, which mainly focus on Artificial intelligence, apply to Code (cryptography) as well. The research on Pattern recognition discussed in the event draws on the closely related field of Pixel.
The overlapping concepts between Artificial neural network and Algorithm are the key highlights of Computer vision study. Machine learning research featured in European Conference on Computer Vision incorporates concerns from various other topics such as Adversarial system, Representation (mathematics), Robustness (computer science) and Benchmark (computing). Object (computer science) works presented in it have a specific focus on Object detection.
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 European 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 European 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 2020 edition, 3.49% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.60% were posted by at least one author from the top 10 institutions publishing at the conference. Another 12.20% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.88% of all publications and 41.32% 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
Oct 24, 2022 - Oct 28, 2022
Tel Aviv, Israel
European Conference on Computer Vision
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