no code implementations • 22 Oct 2021 • Yusuf Tas, Piotr Koniusz
For the image-based task, we employ the DeepFashion dataset in which we seek nearest neighbor images of positive and negative target images of the MMD data.
no code implementations • ECCV 2018 • Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Harandi, Fatih Porikli, Rui Zhang
To achieve robust baselines, we build on a recent approach that aligns per-class scatter matrices of the source and target CNN streams.
no code implementations • 24 Jun 2018 • Rui Zhang, Yusuf Tas, Piotr Koniusz
We discuss the application of wearable cameras, and the practical and technical challenges in devising a robust system that can recognize artworks viewed by the visitors to create a detailed record of their visit.
no code implementations • 24 Jun 2018 • Yusuf Tas, Piotr Koniusz
In this paper, we propose a new representation which encodes sequences of 3D body skeleton joints in texture-like representations derived from mathematically rigorous kernel methods.
no code implementations • 4 Feb 2018 • Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Harandi, Fatih Porikli, Rui Zhang
To achieve robust baselines, we build on a recent approach that aligns per-class scatter matrices of the source and target CNN streams [15].
no code implementations • CVPR 2017 • Piotr Koniusz, Yusuf Tas, Fatih Porikli
In this paper, we propose an approach to the domain adaptation, dubbed Second- or Higher-order Transfer of Knowledge (So-HoT), based on the mixture of alignments of second- or higher-order scatter statistics between the source and target domains.