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VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
27 September 2021
Ekta Sood
Fabian Kögel
Florian Strohm
Prajit Dhar
Andreas Bulling
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Papers citing
"VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering"
10 / 10 papers shown
Title
GazeLLM: Multimodal LLMs incorporating Human Visual Attention
Jun Rekimoto
38
0
0
31 Mar 2025
VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models
Harshit
Tolga Tasdizen
CoGe
VLM
28
1
0
06 Oct 2024
A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions
Shun Inadumi
Seiya Kawano
Akishige Yuguchi
Yasutomo Kawanishi
Koichiro Yoshino
30
1
0
26 Mar 2024
Learning User Embeddings from Human Gaze for Personalised Saliency Prediction
Florian Strohm
Mihai Bâce
Andreas Bulling
26
1
0
20 Mar 2024
Trends, Applications, and Challenges in Human Attention Modelling
Giuseppe Cartella
Marcella Cornia
Vittorio Cuculo
Alessandro D’Amelio
Dario Zanca
Giuseppe Boccignone
Rita Cucchiara
38
6
0
28 Feb 2024
Describing Images
Fast
and
Slow
\textit{Fast and Slow}
Fast and Slow
: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes
Ece Takmaz
Sandro Pezzelle
Raquel Fernández
22
1
0
02 Feb 2024
Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework
Jingxuan Wei
Cheng Tan
Zhangyang Gao
Linzhuang Sun
Siyuan Li
Bihui Yu
R. Guo
Stan Z. Li
LRM
31
8
0
24 Jul 2023
The Copenhagen Corpus of Eye Tracking Recordings from Natural Reading of Danish Texts
Nora Hollenstein
Maria Barrett
Marina Bjornsdóttir
20
14
0
28 Apr 2022
Multimodal Integration of Human-Like Attention in Visual Question Answering
Ekta Sood
Fabian Kögel
Philippe Muller
Dominike Thomas
Mihai Bâce
Andreas Bulling
35
16
0
27 Sep 2021
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
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