Search Results for author:
Found 8 papers, 3 papers with code
Comparing Traditional and LLM-based Search for Image Geolocation
Participants using traditional search more accurately predicted the location of the image compared to those using the LLM-based search.
TraffickCam: Explainable Image Matching For Sex Trafficking Investigations
Investigations of sex trafficking sometimes have access to photographs of victims in hotel rooms.
Hotels-50K: A Global Hotel Recognition Dataset
Recognizing a hotel from an image of a hotel room is important for human trafficking investigations.
Visualizing Deep Similarity Networks
For convolutional neural network models that optimize an image embedding, we propose a method to highlight the regions of images that contribute most to pairwise similarity.
Deep Randomized Ensembles for Metric Learning
Learning embedding functions, which map semantically related inputs to nearby locations in a feature space supports a variety of classification and information retrieval tasks.
Understanding and Mapping Natural Beauty
While natural beauty is often considered a subjective property of images, in this paper, we take an objective approach and provide methods for quantifying and predicting the scenicness of an image.
Wide-Area Image Geolocalization with Aerial Reference Imagery
We propose to use deep convolutional neural networks to address the problem of cross-view image geolocalization, in which the geolocation of a ground-level query image is estimated by matching to georeferenced aerial images.
Robust Regression on Image Manifolds for Ordered Label Denoising
In this paper, we present a computationally efficient and non-parametric method for robust regression on manifolds.
