228 citations · 683 across the 35 of their papers we have counts for
5 papers · 1 filter
Composing Text and Image for Image Retrieval - An Empirical Odyssey
Nam Vo, Lu Jiang, Chen Sun +4
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 ima…
Informative Features for Model Comparison
Wittawat Jitkrittum, Heishiro Kanagawa, Patsorn Sangkloy +3
Given two candidate models, and a set of target observations, we address the problem of measuring the relative goodness of fit of the two models. We propose two new statistical tes…
Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?
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-…
Let's Dance: Learning From Online Dance Videos
Daniel Castro, Steven Hickson, Patsorn Sangkloy +4
In recent years, deep neural network approaches have naturally extended to the video domain, in their simplest case by aggregating per-frame classifications as a baseline for actio…
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
Wengling Chen, James Hays
Synthesizing realistic images from human drawn sketches is a challenging problem in computer graphics and vision. Existing approaches either need exact edge maps, or rely on retrie…