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Found 5 papers, 2 papers with code
License Plate Detection and Recognition Using Deeply Learned Convolutional Neural Networks
This work details Sighthounds fully automated license plate detection and recognition system.
DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network
This paper describes the details of Sighthound's fully automated age, gender and emotion recognition system.
View Independent Vehicle Make, Model and Color Recognition Using Convolutional Neural Network
The backbone of our system is a deep convolutional neural network that is not only computationally inexpensive, but also provides state-of-the-art results on several competitive benchmarks.
Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders
Recent years have seen a major push for face recognition technology due to the large expansion of image sharing on social networks.
Ranked #4 on
Kinship Verification
on KinFaceW-II
Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-Based Classification
A straightforward application of the popular n-minimization for face recognition on a frame-by-frame basis is prohibitively expensive, so we propose a novel algorithm Mean Sequence SRC (MSSRC) that performs video face recognition using a joint optimization leveraging all of the available video data and the knowledge that the face track frames belong to the same individual.
