Compositional reasoning is a hallmark of human visual intelligence; yet
...
Due to the widespread use of complex machine learning models in real-wor...
Generalized Additive Models (GAMs) have quickly become the leading choic...
A visual counterfactual explanation replaces image regions in a query im...
This paper introduces a new benchmark for large-scale image similarity
d...
We study the problem of learning how to predict attribute-object composi...
Query expansion is a technique widely used in image search consisting in...
Access to online visual search engines implies sharing of private user
c...
In this paper we address issues with image retrieval benchmarking on sta...
We present an accurate method for estimation of the affine shape of loca...
Image descriptors based on activations of Convolutional Neural Networks
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We cast the sketch-based retrieval as edge-map matching. A shared
convol...
We introduce a novel loss for learning local feature descriptors which i...
This work addresses the problem of camera elevation estimation from a si...
Convolutional Neural Networks (CNNs) achieve state-of-the-art performanc...
This paper addresses the construction of a short-vector (128D) image
rep...