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A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
v1v2 (latest)

A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation

20 May 2024
Iveta Becková
Stefan Pócos
Giulia Belgiovine
Marco Matarese
A. Sciutti
Carlo Mazzola
Carlo Mazzola
ArXiv (abs)PDFHTMLGithub

Papers citing "A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation"

26 / 26 papers shown
Toward an Interaction-Centered Approach to Robot Trustworthiness
Toward an Interaction-Centered Approach to Robot Trustworthiness
Carlo Mazzola
Hassan Ali
Kristína Malinovská
Igor Farkaš
197
2
0
19 Aug 2025
Enhancing Robot Explanation Capabilities through Vision-Language Models:
  a Preliminary Study by Interpreting Visual Inputs for Improved Human-Robot
  Interaction
Enhancing Robot Explanation Capabilities through Vision-Language Models: a Preliminary Study by Interpreting Visual Inputs for Improved Human-Robot Interaction
David Sobrín-Hidalgo
Miguel Ángel González Santamarta
Ángel Manuel Guerrero Higueras
Francisco J. Rodríguez-Lera
Vicente Matellán Olivera
195
8
0
15 Apr 2024
Explainability of Vision Transformers: A Comprehensive Review and New
  Perspectives
Explainability of Vision Transformers: A Comprehensive Review and New Perspectives
Rojina Kashefi
Leili Barekatain
Mohammad Sabokrou
Fatemeh Aghaeipoor
ViT
327
22
0
12 Nov 2023
Real-time Addressee Estimation: Deployment of a Deep-Learning Model on
  the iCub Robot
Real-time Addressee Estimation: Deployment of a Deep-Learning Model on the iCub Robot
Carlo Mazzola
F. Rea
A. Sciutti
156
3
0
09 Nov 2023
To Whom are You Talking? A Deep Learning Model to Endow Social Robots
  with Addressee Estimation Skills
To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation SkillsIEEE International Joint Conference on Neural Network (IJCNN), 2023
Carlo Mazzola
Marta Romeo
F. Rea
A. Sciutti
Angelo Cangelosi
231
6
0
21 Aug 2023
Robust Speech Recognition via Large-Scale Weak Supervision
Robust Speech Recognition via Large-Scale Weak SupervisionInternational Conference on Machine Learning (ICML), 2022
Alec Radford
Jong Wook Kim
Tao Xu
Greg Brockman
C. McLeavey
Ilya Sutskever
OffRL
1.4K
6,620
0
06 Dec 2022
Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning
  Attention Branch
Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning Attention Branch
Yuya Maruyama
Hiroshi Fukui
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
K. Sugiura
200
1
0
18 Aug 2022
A General Survey on Attention Mechanisms in Deep Learning
A General Survey on Attention Mechanisms in Deep LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Gianni Brauwers
Flavius Frasincar
259
560
0
27 Mar 2022
Towards a Science of Human-AI Decision Making: A Survey of Empirical
  Studies
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
Vivian Lai
Chacha Chen
Q. V. Liao
Alison Smith-Renner
Chenhao Tan
355
226
0
21 Dec 2021
Explaining Outcomes of Multi-Party Dialogues using Causal Learning
Explaining Outcomes of Multi-Party Dialogues using Causal Learning
Priyankar Sinha
Pabitra Mitra
Antonio Anastasio Bruto da Costa
Nikolaos Kekatos
198
4
0
03 May 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
1.6K
60,084
0
22 Oct 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AIInformation Fusion (Inf. Fusion), 2019
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
1.2K
8,194
0
22 Oct 2019
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity
  Fields
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
Zhe Cao
Gines Hidalgo
Shunsuke Saito
S. Wei
Yaser Sheikh
3DHCVBM
1.7K
5,417
0
18 Dec 2018
Metrics for Explainable AI: Challenges and Prospects
Metrics for Explainable AI: Challenges and Prospects
R. Hoffman
Shane T. Mueller
Gary Klein
Jordan Litman
XAI
440
864
0
11 Dec 2018
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose
D. Osokin
3DH
205
331
0
29 Nov 2018
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language
  Understanding
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding
Tao Shen
Wanrong Zhu
Guodong Long
Jing Jiang
Shirui Pan
Chengqi Zhang
510
780
0
14 Sep 2017
Explanation in Artificial Intelligence: Insights from the Social
  Sciences
Explanation in Artificial Intelligence: Insights from the Social Sciences
Tim Miller
XAI
1.1K
5,060
0
22 Jun 2017
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
8.3K
172,602
0
12 Jun 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
5.2K
32,516
0
22 May 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationInternational Journal of Computer Vision (IJCV), 2016
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
1.1K
25,772
0
07 Oct 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.7K
21,148
0
16 Feb 2016
Simple Online and Realtime Tracking
Simple Online and Realtime Tracking
Alex Bewley
Zongyuan Ge
Lionel Ott
F. Ramos
B. Upcroft
VOT
475
3,819
0
02 Feb 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
1.2K
10,439
0
14 Dec 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
1.4K
20,294
0
06 Feb 2015
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Dong Wang
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
1.1K
7,390
0
03 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency MapsInternational Conference on Learning Representations (ICLR), 2013
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
735
8,107
0
20 Dec 2013
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