665 citations · 4.5k across the 236 of their papers we have counts for
21 papers · 1 filter
When Celebrities Endorse Politicians: Analyzing the Behavior of Celebrity Followers in the 2016 U.S. Presidential Election
Yu Wang, Jiebo Luo
Thanks to their name recognition and popularity, celebrities play an important role in American politics. Celebrity endorsements could add to the momentum of a politician's campaig…
How Polarized Have We Become? A Multimodal Classification of Trump Followers and Clinton Followers
Yu Wang, Yang Feng, Zhe Hong +2
Polarization in American politics has been extensively documented and analyzed for decades, and the phenomenon became all the more apparent during the 2016 presidential election, w…
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Gui-Song Xia, Xiang Bai, Jian Ding +6
Object detection is an important and challenging problem in computer vision. Although the past decade has witnessed major advances in object detection in natural scenes, such succe…
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks
Wei Xiong, Wenhan Luo, Lin Ma +2
Taking a photo outside, can we predict the immediate future, e.g., how would the cloud move in the sky? We address this problem by presenting a generative adversarial network (GAN)…
Improving Pairwise Ranking for Multi-label Image Classification
Yuncheng Li, Yale Song, Jiebo Luo
Learning to rank has recently emerged as an attractive technique to train deep convolutional neural networks for various computer vision tasks. Pairwise ranking, in particular, has…
Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification
Xiang Bai, Mingkun Yang, Pengyuan Lyu +2
Text in natural images contains rich semantics that are often highly relevant to objects or scene. In this paper, we focus on the problem of fully exploiting scene text for visual…
Cultural Diffusion and Trends in Facebook Photographs
Quanzeng You, Darío García-García, Mahohar Paluri +2
Online social media is a social vehicle in which people share various moments of their lives with their friends, such as playing sports, cooking dinner or just taking a selfie for…
Large-Scale Sleep Condition Analysis Using Selfies from Social Media
Xuefeng Peng, Jiebo Luo, Catherine Glenn +2
Sleep condition is closely related to an individual's health. Poor sleep conditions such as sleep disorder and sleep deprivation affect one's daily performance, and may also cause…
Deep Multimodal Representation Learning from Temporal Data
Xitong Yang, Palghat Ramesh, Radha Chitta +3
In recent years, Deep Learning has been successfully applied to multimodal learning problems, with the aim of learning useful joint representations in data fusion applications. Whe…
Learning from Noisy Labels with Distillation
Yuncheng Li, Jianchao Yang, Yale Song +3
The ability of learning from noisy labels is very useful in many visual recognition tasks, as a vast amount of data with noisy labels are relatively easy to obtain. Traditionally,…
Tactics and Tallies: A Study of the 2016 U.S. Presidential Campaign Using Twitter 'Likes'
Yu Wang, Xiyang Zhang, Jiebo Luo
We propose a framework to measure, evaluate, and rank campaign effectiveness in the ongoing 2016 U.S. presidential election. Using Twitter data collected from Sept. 2015 to Jan. 20…
A World of Difference: Divergent Word Interpretations among People
Tianran Hu, Ruihua Song, Maya Abtahian +3
Divergent word usages reflect differences among people. In this paper, we present a novel angle for studying word usage divergence -- word interpretations. We propose an approach t…
Detecting the Hate Code on Social Media
Rijul Magu, Kshitij Joshi, Jiebo Luo
Social media has become an indispensable part of the everyday lives of millions of people around the world. It provides a platform for expressing opinions and beliefs, communicated…
Spice up Your Chat: The Intentions and Sentiment Effects of Using Emoji
Tianran Hu, Han Guo, Hao Sun +2
Emojis, as a new way of conveying nonverbal cues, are widely adopted in computer-mediated communications. In this paper, first from a message sender perspective, we focus on people…
A Selfie is Worth a Thousand Words: Mining Personal Patterns behind User Selfie-posting Behaviours
Tianlang Chen, Yuxiao Chen, Jiebo Luo
Selfies have become increasingly fashionable in the social media era. People are willing to share their selfies in various social media platforms such as Facebook, Instagram and Fl…
When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election
Yu Wang, Xiyang Zhang, Jiebo Luo
Motivated by the two paradoxical facts that the marginal cost of following one extra candidate is close to zero and that the majority of Twitter users choose to follow only one or…
Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data
Tianran Hu, Ruihua Song, Yingzi Wang +2
What people buy is an important aspect or view of lifestyles. Studying people's shopping patterns in different urban regions can not only provide valuable information for various c…
Tales of Two Cities: Using Social Media to Understand Idiosyncratic Lifestyles in Distinctive Metropolitan Areas
Tianran Hu, Eric Bigelow, Jiebo Luo +1
Lifestyles are a valuable model for understanding individuals' physical and mental lives, comparing social groups, and making recommendations for improving people's lives. In this…
What the Language You Tweet Says About Your Occupation
Tianran Hu, Haoyuan Xiao, Thuy-vy Thi Nguyen +1
Many aspects of people's lives are proven to be deeply connected to their jobs. In this paper, we first investigate the distinct characteristics of major occupation categories base…
Election Bias: Comparing Polls and Twitter in the 2016 U.S. Election
David Anuta, Josh Churchin, Jiebo Luo
While the polls have been the most trusted source for election predictions for decades, in the recent presidential election they were called inaccurate and biased. How inaccurate w…
Detection and Analysis of 2016 US Presidential Election Related Rumors on Twitter
Zhiwei Jin, Juan Cao, Han Guo +3
The 2016 U.S. presidential election has witnessed the major role of Twitter in the year's most important political event. Candidates used this social media platform extensively for…