1.2k citations · 1.6k across the 55 of their papers we have counts for
9 papers · 1 filter
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…
Image coding for machines: an end-to-end learned approach
Nam Le, Honglei Zhang, Francesco Cricri +2
Over recent years, deep learning-based computer vision systems have been applied to images at an ever-increasing pace, oftentimes representing the only type of consumption for thos…
Learned Image Coding for Machines: A Content-Adaptive Approach
Nam Le, Honglei Zhang, Francesco Cricri +3
Today, according to the Cisco Annual Internet Report (2018-2023), the fastest-growing category of Internet traffic is machine-to-machine communication. In particular, machine-to-ma…
HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry
Otto Seiskari, Pekka Rantalankila, Juho Kannala +3
We present HybVIO, a novel hybrid approach for combining filtering-based visual-inertial odometry (VIO) with optimization-based SLAM. The core of our method is highly robust, indep…
FlipReID: Closing the Gap between Training and Inference in Person Re-Identification
Xingyang Ni, Esa Rahtu
Since neural networks are data-hungry, incorporating data augmentation in training is a widely adopted technique that enlarges datasets and improves generalization. On the other ha…
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…
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…
Visually Guided Sound Source Separation and Localization using Self-Supervised Motion Representations
Lingyu Zhu, Esa Rahtu
The objective of this paper is to perform audio-visual sound source separation, i.e.~to separate component audios from a mixture based on the videos of sound sources. Moreover, we…
Single Source One Shot Reenactment using Weighted motion From Paired Feature Points
Soumya Tripathy, Juho Kannala, Esa Rahtu
Image reenactment is a task where the target object in the source image imitates the motion represented in the driving image. One of the most common reenactment tasks is face image…