Search Results for author: Christopher Thomas

Found 14 papers, 2 papers with code

Multimodal Event Graphs: Towards Event Centric Understanding of Multimodal World

no code implementations14 Jun 2022 Hammad A. Ayyubi, Christopher Thomas, Lovish Chum, Rahul Lokesh, Yulei Niu, Xudong Lin, Long Chen, Jaywon Koo, Sounak Ray, Shih-Fu Chang

Recognizing that the visual `arrest' event is a subevent of the broader `protest' event is a challenging, yet important problem that prior work has not explored.

Fine-Grained Visual Entailment

1 code implementation29 Mar 2022 Christopher Thomas, YiPeng Zhang, Shih-Fu Chang

In this paper, we propose an extension of this task, where the goal is to predict the logical relationship of fine-grained knowledge elements within a piece of text to an image.

Visual Entailment

Learning to Transfer Visual Effects from Videos to Images

no code implementations3 Dec 2020 Christopher Thomas, Yale Song, Adriana Kovashka

We study the problem of animating images by transferring spatio-temporal visual effects (such as melting) from a collection of videos.

Optical Flow Estimation

A Scalable Real-Time Architecture for Neural Oscillation Detection and Phase-Specific Stimulation

no code implementations15 Sep 2020 Christopher Thomas, Thilo Womelsdorf

Oscillations in the local field potential (LFP) of the brain are key signatures of neural information processing.

Predicting the Politics of an Image Using Webly Supervised Data

1 code implementation NeurIPS 2019 Christopher Thomas, Adriana Kovashka

We collect a dataset of over one million unique images and associated news articles from left- and right-leaning news sources, and develop a method to predict the image's political leaning.

Artistic Object Recognition by Unsupervised Style Adaptation

no code implementations28 Dec 2018 Christopher Thomas, Adriana Kovashka

To do so, we introduce a complementary training modality constructed to be similar in artistic style to the target domain, and enforce that the network learns features that are invariant between the two training modalities.

Domain Adaptation Object Recognition +2

Persuasive Faces: Generating Faces in Advertisements

no code implementations25 Jul 2018 Christopher Thomas, Adriana Kovashka

We show how our model can be used to produce visually distinct faces which appear to be from a fixed ad topic category.

Face Generation

Automatic Understanding of Image and Video Advertisements

no code implementations CVPR 2017 Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka

There is more to images than their objective physical content: for example, advertisements are created to persuade a viewer to take a certain action.

OpenSalicon: An Open Source Implementation of the Salicon Saliency Model

no code implementations1 Jun 2016 Christopher Thomas

In this technical report, we present our publicly downloadable implementation of the SALICON saliency model.

Seeing Behind the Camera: Identifying the Authorship of a Photograph

no code implementations CVPR 2016 Christopher Thomas, Adriana Kovashka

To explore the feasibility of current computer vision techniques to address this problem, we created a new dataset of over 180, 000 images taken by 41 well-known photographers.

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