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Found 9 papers, 2 papers with code
Understanding Deep Architectures by Visual Summaries
In deep learning, visualization techniques extract the salient patterns exploited by deep networks for image classification, focusing on single images; no effort has been spent in investigating whether these patterns are systematically related to precise semantic entities over multiple images belonging to a same class, thus failing to capture the very understanding of the image class the network has realized.
Social Style Characterization from Egocentric Photo-streams
This paper proposes a system for automatic social pattern characterization using a wearable photo-camera.
Towards social pattern characterization in egocentric photo-streams
Following the increasingly popular trend of social interaction analysis in egocentric vision, this manuscript presents a comprehensive study for automatic social pattern characterization of a wearable photo-camera user, by relying on the visual analysis of egocentric photo-streams.
R-Clustering for Egocentric Video Segmentation
In this paper, we present a new method for egocentric video temporal segmentation based on integrating a statistical mean change detector and agglomerative clustering(AC) within an energy-minimization framework.
Clothing and People - A Social Signal Processing Perspective
In our society and century, clothing is not anymore used only as a means for body protection.
All the people around me: face discovery in egocentric photo-streams
Given an unconstrained stream of images captured by a wearable photo-camera (2fpm), we propose an unsupervised bottom-up approach for automatic clustering appearing faces into the individual identities present in these data.
With Whom Do I Interact? Detecting Social Interactions in Egocentric Photo-streams
Given a user wearing a low frame rate wearable camera during a day, this work aims to automatically detect the moments when the user gets engaged into a social interaction solely by reviewing the automatically captured photos by the worn camera.
SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation
While wearable cameras are becoming increasingly popular, locating relevant information in large unstructured collections of egocentric images is still a tedious and time consuming processes.
Multi-Face Tracking by Extended Bag-of-Tracklets in Egocentric Videos
In this paper, we propose a novel method to find correspondences of multiple faces in low temporal resolution egocentric videos acquired through a wearable camera.
