44 citations · 90 across the 34 of their papers we have counts for
6 papers · 1 filter
Artistic Object Recognition by Unsupervised Style Adaptation
Christopher Thomas, Adriana Kovashka
Computer vision systems currently lack the ability to reliably recognize artistically rendered objects, especially when such data is limited. In this paper, we propose a method for…
Learning to discover and localize visual objects with open vocabulary
Keren Ye, Mingda Zhang, Wei Li +3
To alleviate the cost of obtaining accurate bounding boxes for training today's state-of-the-art object detection models, recent weakly supervised detection work has proposed techn…
Story Understanding in Video Advertisements
Keren Ye, Kyle Buettner, Adriana Kovashka
In order to resonate with the viewers, many video advertisements explore creative narrative techniques such as "Freytag's pyramid" where a story begins with exposition, followed by…
Persuasive Faces: Generating Faces in Advertisements
Christopher Thomas, Adriana Kovashka
In this paper, we examine the visual variability of objects across different ad categories, i.e. what causes an advertisement to be visually persuasive. We focus on modeling and ge…
Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text
Mingda Zhang, Rebecca Hwa, Adriana Kovashka
Images and text in advertisements interact in complex, non-literal ways. The two channels are usually complementary, with each channel telling a different part of the story. Curren…
Image Retrieval with Mixed Initiative and Multimodal Feedback
Nils Murrugarra-Llerena, Adriana Kovashka
How would you search for a unique, fashionable shoe that a friend wore and you want to buy, but you didn't take a picture? Existing approaches propose interactive image search as a…