activity
20182021
most citedVehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification

27 citations · 54 across the 7 of their papers we have counts for

collaborators

19 papers

cs.CV2021

Towards a Real-Time Facial Analysis System

Bishwo Adhikari, Xingyang Ni, Esa Rahtu +1

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 i…

cs.CV2021

On the Importance of Encrypting Deep Features

Xingyang Ni, Heikki Huttunen, Esa Rahtu

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,…

cs.CV2021

using multiple losses for accurate facial age estimation

Yi Zhou, Heikki Huttunen, Tapio Elomaa

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. E…

cs.CV2021

Selective Probabilistic Classifier Based on Hypothesis Testing

Saeed Bakhshi Germi, Esa Rahtu, Heikki Huttunen

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…

cs.CV2021

Sample selection for efficient image annotation

Bishwo Adhikari, Esa Rahtu, Heikki Huttunen

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 sampl…

cs.CV20201 cited

Handwritten Character Recognition from Wearable Passive RFID

Leevi Raivio, Han He, Johanna Virkki +1

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…