Zobrazeno 1 - 10
of 224
pro vyhledávání: '"Huttunen, Heikki"'
Facial analysis is an active research area in computer vision, with many practical applications. Most of the existing studies focus on addressing one specific task and maximizing its performance. For a complete facial analysis system, one needs to so
Externí odkaz:
http://arxiv.org/abs/2109.10393
In this study, we analyze model inversion attacks with only two assumptions: feature vectors of user data are known, and a black-box API for inference is provided. On the one hand, limitations of existing studies are addressed by opting for a more pr
Externí odkaz:
http://arxiv.org/abs/2108.07147
Age estimation is an essential challenge in computer vision. With the advances of convolutional neural networks, the performance of age estimation has been dramatically improved. Existing approaches usually treat age estimation as a classification pr
Externí odkaz:
http://arxiv.org/abs/2106.09393
Supervised object detection has been proven to be successful in many benchmark datasets achieving human-level performances. However, acquiring a large amount of labeled image samples for supervised detection training is tedious, time-consuming, and c
Externí odkaz:
http://arxiv.org/abs/2105.04678
In this paper, we propose a simple yet effective method to deal with the violation of the Closed-World Assumption for a classifier. Previous works tend to apply a threshold either on the classification scores or the loss function to reject the inputs
Externí odkaz:
http://arxiv.org/abs/2105.03876
In this paper we study the recognition of handwritten characters from data captured by a novel wearable electro-textile sensor panel. The data is collected sequentially, such that we record both the stroke order and the resulting bitmap. We propose a
Externí odkaz:
http://arxiv.org/abs/2008.02543
We introduce an adaptive L2 regularization mechanism in the setting of person re-identification. In the literature, it is common practice to utilize hand-picked regularization factors which remain constant throughout the training procedure. Unlike ex
Externí odkaz:
http://arxiv.org/abs/2007.07875
Autor:
Adhikari, Bishwo, Huttunen, Heikki
Manual annotation of bounding boxes for object detection in digital images is tedious, and time and resource consuming. In this paper, we propose a semi-automatic method for efficient bounding box annotation. The method trains the object detector ite
Externí odkaz:
http://arxiv.org/abs/2007.00961
Autor:
Ni, Xingyang, Huttunen, Heikki
This paper studies vehicle attribute recognition by appearance. In the literature, image-based target recognition has been extensively investigated in many use cases, such as facial recognition, but less so in the field of vehicle attribute recogniti
Externí odkaz:
http://arxiv.org/abs/2006.16400
We propose a novel classifier accuracy metric: the Bayesian Area Under the Receiver Operating Characteristic Curve (CBAUC). The method estimates the area under the ROC curve and is related to the recently proposed Bayesian Error Estimator. The metric
Externí odkaz:
http://arxiv.org/abs/1908.08771