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20162021
most citedArtwork Identification from Wearable Camera Images for Enhancing Experience of Museum Audiences

10 citations · 27 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CV2021★ 1 cited

Simple Dialogue System with AUDITED

Yusuf Tas, Piotr Koniusz

We devise a multimodal conversation system for dialogue utterances composed of text, image or both modalities. We leverage Auxiliary UnsuperviseD vIsual and TExtual Data (AUDITED).…

cs.CV2018★ 10 cited

Artwork Identification from Wearable Camera Images for Enhancing Experience of Museum Audiences

Rui Zhang, Yusuf Tas, Piotr Koniusz

Recommendation systems based on image recognition could prove a vital tool in enhancing the experience of museum audiences. However, for practical systems utilizing wearable camera…

cs.CV2018★ 4 cited

CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps

Yusuf Tas, Piotr Koniusz

Deep learning is ubiquitous across many areas areas of computer vision. It often requires large scale datasets for training before being fine-tuned on small-to-medium scale problem…

cs.CV2018★ 6 cited

Museum Exhibit Identification Challenge for Domain Adaptation and Beyond

Piotr Koniusz, Yusuf Tas, Hongguang Zhang +3

In this paper, we approach an open problem of artwork identification and propose a new dataset dubbed Open Museum Identification Challenge (Open MIC). It contains photos of exhibit…

cs.CV2016★ 6 cited

Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors

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 high…