no code implementations • 18 Jan 2024 • Albatool Wazzan, Stephen MacNeil, Richard Souvenir
Participants using traditional search more accurately predicted the location of the image compared to those using the LLM-based search.
no code implementations • 8 Oct 2019 • Abby Stylianou, Richard Souvenir, Robert Pless
Investigations of sex trafficking sometimes have access to photographs of victims in hotel rooms.
1 code implementation • 26 Jan 2019 • Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless
Recognizing a hotel from an image of a hotel room is important for human trafficking investigations.
1 code implementation • 2 Jan 2019 • Abby Stylianou, Richard Souvenir, Robert Pless
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.
1 code implementation • ECCV 2018 • Hong Xuan, Richard Souvenir, Robert Pless
Learning embedding functions, which map semantically related inputs to nearby locations in a feature space supports a variety of classification and information retrieval tasks.
no code implementations • ICCV 2017 • Scott Workman, Richard Souvenir, Nathan Jacobs
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.
no code implementations • ICCV 2015 • Scott Workman, Richard Souvenir, Nathan Jacobs
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.
no code implementations • CVPR 2015 • Hui Wu, Richard Souvenir
In this paper, we present a computationally efficient and non-parametric method for robust regression on manifolds.