Person Recognition
14 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
Latest papers with no code
The 2021 NIST Speaker Recognition Evaluation
Evaluation results indicate: audio-visual fusion produce substantial gains in performance over audio-only or visual-only systems; top performing speaker and face recognition systems exhibited comparable performance under the matched domain conditions present in this evaluation; and, the use of complex neural network architectures (e. g., ResNet) along with angular losses with margin, data augmentation, as well as long duration fine-tuning contributed to notable performance improvements for the audio-only speaker recognition task.
Exploring Body Texture from mmW Images for Person Recognition
Imaging using millimeter waves (mmWs) has many advantages including the ability to penetrate obscurants such as clothes and polymers.
Adaptive Template Enhancement for Improved Person Recognition using Small Datasets
A novel instance-based method for the classification of electroencephalography (EEG) signals is presented and evaluated in this paper.
Rapid Face Mask Detection and Person Identification Model based on Deep Neural Networks
As Covid-19 has been constantly getting mutated and in three or four months a new variant gets introduced to us and it comes with more deadly problems.
Longitudinal Analysis of Mask and No-Mask on Child Face Recognition
Thus, the main objective of this study is analyzing the child longitudinal impact together with face mask and other covariates on FRS.
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Machine learning datasets have elicited concerns about privacy, bias, and unethical applications, leading to the retraction of prominent datasets such as DukeMTMC, MS-Celeb-1M, and Tiny Images.
Face Age Progression With Attribute Manipulation
In this paper, we propose a novel holistic model in this regard viz., ``Face Age progression With Attribute Manipulation (FAWAM)", i. e. generating face images at different ages while simultaneously varying attributes and other subject specific characteristics.
Frame Aggregation and Multi-Modal Fusion Framework for Video-Based Person Recognition
To tackle the challenges above, we propose a novel Frame Aggregation and Multi-Modal Fusion (FAMF) framework for video-based person recognition, which aggregates face features and incorporates them with multi-modal information to identify persons in videos.
Online Multi-modal Person Search in Videos
The task of searching certain people in videos has seen increasing potential in real-world applications, such as video organization and editing.
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
Spoofing attacks within a logical access (LA) scenario are generated with the latest speech synthesis and voice conversion technologies, including state-of-the-art neural acoustic and waveform model techniques.
