Conference Information

ICAIPR 2021: International Conference on Artificial Intelligence and Pattern Recognition

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Submission Date:
2021-05-15 Extended
Notification Date:
2021-06-01
Conference Date:
2021-06-25
Location:
Beijing, China
Viewed: 12672   Tracked: 5   Attend: 0

Conference Partner Index (CP-I)

43.8 / 100
Ranked #3,293 of 5,680 conferences · Top 58%

#168 of 243 in Computer Vision & Pattern Recognition #396 of 739 in Artificial Intelligence & Machine Learning

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
26
Public record completeness (15%)
25

Inputs used: Researchers following it here: 5 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-11

Call For Papers

ICAIPR 2021 (International Conference on Artificial Intelligence and Pattern Recognition) is an academic conference held in Beijing, China on 2021-06-25. The paper submission deadline is 2021-05-15 (extended). Acceptance notifications are sent on 2021-06-01.

Topics of interest for submission include, but are not limited to: Pattern Recognition and Machine Learning Statistical, syntactic and structural pattern recognition Machine learning and data mining Artificial neural networks Dimensionality reduction and manifold learning Classification and clustering Graphical Models for Pattern Recognition Representation and analysis in pixel/voxel images Support vector machines and kernel methods Symbolic learning Active and ensemble learning Deep learning Pattern recognition for big data Transfer learning Semi-supervised learning and spectral methods Model selection Reinforcement learning and temporal models Performance Evaluation Depth & range sensor data processing and analysis Human computer interaction Coding, compression and super-resolution Computer Vision and Robot Vision Vision sensors Early/low-level vision Biologically motivated vision Illumination and reflectance modeling Image based modeling Physics-based vision Perceptual organization Shape modeling and encoding Computational photography 3D shape recovery Motion, tracking and video analysis 3D sensors: depth sensors, ToF, Kinect 2D/3D object detection and recognition Activity and event analysis Scene understanding Occlusion and shadow detection Stereo and multiple view geometry Reconstruction and camera motion estimation Deep learning Vision for robotics Document Analysis, Biometrics and Pattern Recognition Applications Character and Text Recognition Handwriting Recognition Graphics Recognition Document Understanding Gesture and Behavior Analysis Mixed and Augmented Reality Face, fingerprint and iris recognition Other biometrics (gait, soft, speaker, periocular, etc.) Novel biometrics Biometric systems and applications Multi-biometrics Forensic biometrics and applications Bioinformatics Surveillance and Security Search, Retrieval and Visualization Art, Cultural Heritage and Entertainment Industrial image analysis Human computer interaction Analysis of humans Pattern and digital evidence Performance analysis and enhancement Applications of pattern recognition to big data Biomedical Image Analysis and Applications Medical image and signal analysis Biological image and signal analysis Image, Speech, Signal and Video Processing Image and video analysis and understanding Modeling, simulation and visualization Computer-aided detection and diagnosis Image guidance and robot guidance of interventions Content based image retrieval and data mining Medical and biological imaging Segmentation of biomedical images Molecular and cellular image analysis Volumetric image analysis Deformable object tracking and registration Computational anatomy and digital human VR/AR in medical education, diagnosis and surgery Medical robotics Imaging and hardware for health care Brain-computer interfaces Data mining for biological databases Algorithms for molecular biology Deep learning for biomedical image analysis Automatic speech and speaker recognition
Last updated by Hana Liu on

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