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09/05/2023
Prototype-based Dataset Comparison
Dataset summarisation is a fruitful approach to dataset inspection. Howe...
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01/01/2023
Hierarchical Explanations for Video Action Recognition
We propose Hierarchical ProtoPNet: an interpretable network that explain...
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11/14/2022
An Analytics of Culture: Modeling Subjectivity, Scalability, Contextuality, and Temporality
There is a bidirectional relationship between culture and AI; AI models ...
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03/11/2022
Hyperbolic Image Segmentation
For image segmentation, the current standard is to perform pixel-level o...
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02/03/2022
The Met Dataset: Instance-level Recognition for Artworks
This work introduces a dataset for large-scale instance-level recognitio...
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12/21/2021
Extending CLIP for Category-to-image Retrieval in E-commerce
E-commerce provides rich multimodal data that is barely leveraged in pra...
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11/26/2021
Inside Out Visual Place Recognition
Visual Place Recognition (VPR) is generally concerned with localizing ou...
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09/03/2019
Translating Visual Art into Music
The Synesthetic Variational Autoencoder (SynVAE) introduced in this rese...
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08/07/2019
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation
Adversarial training has been recently employed for realizing structured...
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04/05/2019
Learning Task Relatedness in Multi-Task Learning for Images in Context
Multimedia applications often require concurrent solutions to multiple t...
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03/28/2019
Many Task Learning with Task Routing
Typical multi-task learning (MTL) methods rely on architectural adjustme...
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01/17/2018
Light-weight pixel context encoders for image inpainting
In this work we propose Pixel Content Encoders (PCE), a light-weight ima...
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02/03/2016
Learning scale-variant and scale-invariant features for deep image classification
Convolutional Neural Networks (CNNs) require large image corpora to be t...
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06/19/2015