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4 papers · 2 filters
PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship
Le Zhang, Songyou Peng, Stefan Winkler
Apparent personality and emotion analysis are both central to affective computing. Existing works solve them individually. In this paper we investigate if such high-level affect tr…
Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks
Zhixiang Hao, Yu Li, Shaodi You +1
Convolutional Neural Networks have demonstrated superior performance on single image depth estimation in recent years. These works usually use stacked spatial pooling or strided co…
Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements
Abhinav Shukla, Harish Katti, Mohan Kankanhalli +1
Emotion evoked by an advertisement plays a key role in influencing brand recall and eventual consumer choices. Automatic ad affect recognition has several useful applications. Howe…
Dimensionality's Blessing: Clustering Images by Underlying Distribution
Wen-Yan Lin, Siying Liu, Jian-Huang Lai +1
Many high dimensional vector distances tend to a constant. This is typically considered a negative "contrast-loss" phenomenon that hinders clustering and other machine learning tec…