Person Recognition
12 papers with code • 0 benchmarks • 7 datasets
Benchmarks
These leaderboards are used to track progress in Person Recognition
Datasets
PRW
iCartoonFace
MotionID: IMU all motions part2
MotionID: IMU all motions part3
CN-Celeb-AV
MotionID: IMU all motions part1
MotionID: IMU specific motion
Most implemented papers
Improving Person Re-identification by Attribute and Identity Learning
ycao5602/SAL
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Person re-identification (re-ID) and attribute recognition share a common target at learning pedestrian descriptions.
Learning Deep Features via Congenerous Cosine Loss for Person Recognition
Person recognition aims at recognizing the same identity across time and space with complicated scenes and similar appearance.
Unifying Identification and Context Learning for Person Recognition
ycxioooong/MovieSynopsisAssociation
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CVPR 2018
In this work, we aim to move beyond such limitations and propose a new framework to leverage context for person recognition.
CSI-Net: Unified Human Body Characterization and Pose Recognition
geekfeiw/CSI-Net
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We build CSI-Net, a unified Deep Neural Network~(DNN), to learn the representation of WiFi signals.
Cartoon Face Recognition: A Benchmark Dataset
Recent years have witnessed increasing attention in cartoon media, powered by the strong demands of industrial applications.
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
With the aim of studying how current multimodal algorithms based on heterogeneous sources of information are affected by sensitive elements and inner biases in the data, we propose a fictitious automated recruitment testbed: FairCVtest.
Multi-Branch with Attention Network for Hand-Based Person Recognition
In this paper, we propose a novel hand-based person recognition method for the purpose of criminal investigations since the hand image is often the only available information in cases of serious crime such as sexual abuse.
Learning Facial Representations from the Cycle-consistency of Face
jiarenchang/facecycle
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ICCV 2021
The main idea of the facial motion cycle-consistency is that, given a face with expression, we can perform de-expression to a neutral face via the removal of facial motion and further perform re-expression to reconstruct back to the original face.
RealGait: Gait Recognition for Person Re-Identification
shiqiyu/opengait
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Given that our experimental results show that current gait recognition approaches designed under data collected in controlled scenarios are inappropriate for real surveillance scenarios, we propose a novel gait recognition method, called RealGait.
LFW-Beautified: A Dataset of Face Images with Beautification and Augmented Reality Filters
To help in counteracting such issues, we contribute with a database of facial images that includes several manipulations.
