Search Results for author: Nam Vo

Found 6 papers, 3 papers with code

Let's Transfer Transformations of Shared Semantic Representations

2 code implementations2 Mar 2019 Nam Vo, Lu Jiang, James Hays

In this work we show how one can learn transformations with no training examples by learning them on another domain and then transfer to the target domain.

Attribute Image Retrieval +3

Composing Text and Image for Image Retrieval - An Empirical Odyssey

4 code implementations CVPR 2019 Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays

In this paper, we study the task of image retrieval, where the input query is specified in the form of an image plus some text that describes desired modifications to the input image.

Image Retrieval Image Retrieval with Multi-Modal Query +1

Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?

1 code implementation8 Mar 2018 Nam Vo, James Hays

This work studies deep metric learning under small to medium scale data as we believe that better generalization could be a contributing factor to the improvement of previous fine-grained image retrieval methods; it should be considered when designing future techniques.

Image Retrieval Metric Learning +1

Revisiting IM2GPS in the Deep Learning Era

no code implementations ICCV 2017 Nam Vo, Nathan Jacobs, James Hays

The recent state-of-the-art approach to this problem is a deep image classification approach in which the world is spatially divided into cells and a deep network is trained to predict the correct cell for a given image.

Classification Density Estimation +4

Localizing and Orienting Street Views Using Overhead Imagery

no code implementations30 Jul 2016 Nam Vo, James Hays

In this paper we aim to determine the location and orientation of a ground-level query image by matching to a reference database of overhead (e. g. satellite) images.

General Classification Retrieval

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