Search Results for author:
Found 9 papers, 5 papers with code
Where are they looking?
Humans have the remarkable ability to follow the gaze of other people to identify what they are looking at.
Emotion Recognition in Context
In this paper we present the Emotions in Context Database (EMCO), a dataset of images containing people in context in non-controlled environments.
Understanding Infographics through Textual and Visual Tag Prediction
And second, we use these predicted text tags as a supervisory signal to localize the most diagnostic visual elements from within the infographic i. e. visual hashtags.
Following Gaze in Video
In this paper, we present an approach for following gaze in video by predicting where a person (in the video) is looking even when the object is in a different frame.
Gaze360: Physically Unconstrained Gaze Estimation in the Wild
Finally, we demonstrate an application of our model for estimating customer attention in a supermarket setting.
Ranked #4 on
Gaze Estimation
on Gaze360
Context Based Emotion Recognition using EMOTIC Dataset
In this paper we present EMOTIC, a dataset of images of people in a diverse set of natural situations, annotated with their apparent emotion.
Ranked #4 on
Emotion Recognition in Context
on EMOTIC
(using extra training data)
Game Plan: What AI can do for Football, and What Football can do for AI
The rapid progress in artificial intelligence (AI) and machine learning has opened unprecedented analytics possibilities in various team and individual sports, including baseball, basketball, and tennis.
A Deep Learning Approach for Characterizing Major Galaxy Mergers
Fine-grained estimation of galaxy merger stages from observations is a key problem useful for validation of our current theoretical understanding of galaxy formation.
HiP: Hierarchical Perceiver
This however hinders them from scaling up to the inputs sizes required to process raw high-resolution images or video.
