Ranking & Metrics Conference Call for Papers Other Conferences in United States
FG 2021 : IEEE International Conference on Automatic Face & Gesture Recognition

FG 2021 : IEEE International Conference on Automatic Face & Gesture Recognition

Jodhpur, India

Submission Deadline: Sunday 01 Aug 2021

Conference Dates: Dec 15, 2021 - Dec 15, 2021

Research
Impact Score 6.40

OFFICIAL WEBSITE

Conference Organizers: Deadline extended?
Click here to edit

Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 6.40
Contributing Best Scientists: 123
H5-index:
Papers published by Best Scientists 206
Research Ranking (Computer Science) 59

Conference Call for Papers

Topics of interest include but are not limited to:

Face Recognition, Analysis & Synthesis
tracking/detection
recognition
expression analysis & synthesis
3D analysis & synthesis
lip reading
public health
DeepFake
adversarial learning
Psychological and Behavioral Analysis
facial behavior analysis
gesture recognition and variation
body gait movement analysis
measurement
Gesture Recognition, Analysis & Synthesis
gesture interpretation
head motion tracking
arm/limb analysis & synthesis
human body tracking
vision based human interfaces
life-like avatars
public health
Body Action and Activity Recognition
body motion analysis
body movement analysis
gait recognition
human action and activity recognition
Technologies and Applications
biometric applications
sensors
surveillance applications
feature selection and analysis
fusion of multiple modalities
human computer/robot interaction
socially-aware computing
reality mining
Performance Evaluation
batabases
benchmarking and new protocols
robustness analysis
Regulation and Social Impact
engineering for evolving legal environment for f&g tech
methods to improve social impact and limit harm
methods for dealing with bias, unapproved use, security

Overview

Top Research Topics at IEEE International Conference on Automatic Face & Gesture Recognition?

  • Artificial intelligence (94.38%)
  • Pattern recognition (47.15%)
  • Facial recognition system (45.09%)

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.

What are the most cited papers published at the conference?

  • VGGFace2: A Dataset for Recognising Faces across Pose and Age (1200 citations)
  • OpenFace 2.0: Facial Behavior Analysis Toolkit (508 citations)
  • Face detection with the modified census transform (445 citations)

Research areas of the most cited articles at IEEE International Conference on Automatic Face & Gesture Recognition:

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.

What topics the last edition of the conference is best known for?

  • Artificial intelligence
  • Statistics
  • Machine learning

The previous edition focused in particular on these issues:

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).

The most cited articles from the last conference are:

  • Analysing Affective Behavior in the First ABAW 2020 Competition (27 citations)
  • M 3 F: Multi-Modal Continuous Valence-Arousal Estimation in the Wild (16 citations)
  • Toward fast and accurate human pose estimation via soft-gated skip connections (16 citations)

Papers citation over time

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.

Research.com

The top authors publishing at IEEE International Conference on Automatic Face & Gesture Recognition (based on the number of publications) are:

  • Shiguang Shan (41 papers) published 9 papers at the last edition, 4 more than at the previous edition,
  • Xilin Chen (36 papers) published 6 papers at the last edition the same number as at the previous edition,
  • Maja Pantic (29 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Jeffrey F. Cohn (29 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Lijun Yin (23 papers) published 3 papers at the last edition the same number as at the previous edition.

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.

Research.com

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:

  • Chinese Academy of Sciences (75 papers) published 13 papers at the last edition, 5 more than at the previous edition,
  • Carnegie Mellon University (45 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Imperial College London (43 papers) published 7 papers at the last edition, 2 more than at the previous edition,
  • University of Pittsburgh (26 papers) absent at the last edition,
  • University of Maryland, College Park (26 papers) published 4 papers at the last edition, 3 more than at the previous edition.

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.

Research.com

Publication chance based on affiliation

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.

Research.com

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.

Returning Authors Index

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.

Research.com

Returning Institution Index

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.

Research.com

The experience to innovation index

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:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

Other Conferences in India

7th IEEE International Test Conference

Jul 23, 2023 - Jul 25, 2023

Bengaluru, India

Deadline: Monday 06 Feb 2023

9th Annual International Conference on Algorithms and Discrete Applied Mathematics

Feb 09, 2023 - Feb 11, 2023

Gandhinagar, India

Deadline: Saturday 30 Sep 2023

Previous Editions

Something went wrong. Please try again later.