Submission Deadline: Sunday 01 Aug 2021
Conference Dates: Dec 15, 2021 - Dec 15, 2021
The main research concerns discussed in IEEE International Conference on Automatic Face & Gesture Recognition are Artificial intelligence, Pattern recognition, Facial recognition system, Computer vision and Feature extraction. The Artificial intelligence study featured in the event draws connections with the study of Machine learning. It investigates Pattern recognition research which frequently intersects with Contextual image classification.
The work on Facial recognition system tackled in it brings together disciplines like Speech recognition, Expression (mathematics) and Active appearance model. The study on Computer vision presented in it intersects with subjects under the field of Robustness (computer science). IEEE International Conference on Automatic Face & Gesture Recognition explores topics in Feature extraction which can be helpful for research in disciplines like Feature (machine learning), Artificial neural network, Histogram, Deep learning and Task analysis.
The research on Face (geometry) featured in the conference combines topics in other fields like Identification (information), Image (mathematics) and Image texture. While work presented in the event provided substantial information on Facial expression, it also covered topics in Cognitive psychology and Face hallucination. The Gesture recognition research discussed is included in the broader subject of Gesture.
The conference articles tackle a plethora of topics, such as Artificial intelligence, Facial recognition system, Computer vision, Pattern recognition and Face (geometry). Machine learning, Speech recognition and Expression (mathematics) are some topics wherein Facial recognition system research discussed in the most cited papers has an impact. In addition to Face (geometry) research, the published papers aim to explore topics under Metric (mathematics), Image (mathematics), Identity (object-oriented programming), Image texture and Discriminative model.
The scientific interests tackled in the conference are Artificial intelligence, Facial recognition system, Feature extraction, Pattern recognition and Task analysis. IEEE International Conference on Automatic Face & Gesture Recognition dives deep in exploring the relationship between the study of Artificial intelligence and Computer vision. The studies on Facial recognition system discussed can also contribute to research in the domains of Artificial neural network, Speech recognition, Facial expression, Pose and Affective computing.
The presented Feature extraction research focuses mostly on Machine learning and, on occasion, topics in Correlation. While the primary focus in it is Pattern recognition, it also dissects topics surrounding Image fusion and Audio signal processing as a whole. It focuses on Task analysis but sometimes tackles the closely related topic of Cognitive psychology which is concerned with Context (language use).
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 IEEE International Conference on Automatic Face & Gesture Recognition (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 IEEE International Conference on Automatic Face & Gesture Recognition (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, 6.85% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 9.56% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 30.88% of all publications and 34.56% 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.
Jul 23, 2023 - Jul 25, 2023
Deadline: Monday 06 Feb 2023
Feb 09, 2023 - Feb 11, 2023
Deadline: Saturday 30 Sep 2023
Dec 15, 2021 - Dec 15, 2021
FG 2021 : IEEE International Conference on Automatic Face & Gesture Recognition
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