research
∙
01/30/2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning
Model explanations such as saliency maps can improve user trust in AI by...
share
research
∙
01/06/2022
Enhancing Egocentric 3D Pose Estimation with Third Person Views
In this paper, we propose a novel approach to enhance the 3D body pose e...
research
∙
09/07/2021
Learning grounded word meaning representations on similarity graphs
This paper introduces a novel approach to learn visually grounded meanin...
research
∙
07/28/2021
Graph Constrained Data Representation Learning for Human Motion Segmentation
Recently, transfer subspace learning based approaches have shown to be a...
research
∙
04/28/2021
Interaction-GCN: a Graph Convolutional Network based framework for social interaction recognition in egocentric videos
In this paper we propose a new framework to categorize social interactio...
research
∙
04/23/2021
Modeling long-term interactions to enhance action recognition
In this paper, we propose a new approach to under-stand actions in egoce...
research
∙
12/10/2020
Debiased-CAM for bias-agnostic faithful visual explanations of deep convolutional networks
Class activation maps (CAMs) explain convolutional neural network predic...
research
∙
10/15/2019
Seeing and Hearing Egocentric Actions: How Much Can We Learn?
Our interaction with the world is an inherently multimodal experience. H...
research
∙
10/08/2019
Learning event representations in image sequences by dynamic graph embedding
Recently, self-supervised learning has proved to be effective to learn r...
research
∙
06/03/2019
How Much Does Audio Matter to Recognize Egocentric Object Interactions?
Sounds are an important source of information on our daily interactions ...
research
∙
05/12/2019
Social Relation Recognition in Egocentric Photostreams
This paper proposes an approach to automatically categorize the social i...
research
∙
09/02/2018
On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams
Event boundaries play a crucial role as a pre-processing step for detect...
research
∙
03/15/2018
A picture is worth a thousand words but how to organize thousands of pictures?
We live in a society where the large majority of the population has a ca...
research
∙
10/11/2017
Recognizing Daily Activities from Egocentric Photo-Streams
Wearable cameras can gather large amounts of image data that provide ric...
research
∙
09/18/2017
Social Style Characterization from Egocentric Photo-streams
This paper proposes a system for automatic social pattern characterizati...
research
∙
09/08/2017
Detecting Hands in Egocentric Videos: Towards Action Recognition
Recently, there has been a growing interest in analyzing human daily act...
research
∙
09/05/2017
Towards social pattern characterization in egocentric photo-streams
Following the increasingly popular trend of social interaction analysis ...
research
∙
08/25/2017
Batch-Based Activity Recognition from Egocentric Photo-Streams
Activity recognition from long unstructured egocentric photo-streams has...
research
∙
04/10/2017
Pay Attention to Those Sets! Learning Quantification from Images
Major advances have recently been made in merging language and vision re...
research
∙
04/10/2017
R-Clustering for Egocentric Video Segmentation
In this paper, we present a new method for egocentric video temporal seg...
research
∙
04/07/2017
Clothing and People - A Social Signal Processing Perspective
In our society and century, clothing is not anymore used only as a means...
research
∙
03/06/2017
All the people around me: face discovery in egocentric photo-streams
Given an unconstrained stream of images captured by a wearable photo-cam...
research
∙
12/22/2015
SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation
While wearable cameras are becoming increasingly popular, locating relev...
research
∙
07/23/2015
Active skeleton for bacteria modeling
The investigation of spatio-temporal dynamics of bacterial cells and the...
research
∙
07/22/2015
Particle detection and tracking in fluorescence time-lapse imaging: a contrario approach
This paper proposes a probabilistic approach for the detection and the t...
research
∙
07/22/2015
Towards Storytelling from Visual Lifelogging: An Overview
Visual lifelogging consists of acquiring images that capture the daily e...
research
∙
07/16/2015
