paper-conference

SCOUTER: Slot attention-based classifier for explainable image recognition
Explainable artificial intelligence has been gaining attention in the past few years. However, most existing methods are based on …
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Transferring domain-agnostic knowledge in video question answering
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Built year prediction from Buddha face with heterogeneous labels
Buddha statues are a part of human culture, especially of the Asia area, and they have been alongside human civilisation for more than …
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Explain me the painting: Multi-topic knowledgeable art description generation
Have you ever looked at a painting and wondered what is the story behind it? This work presents a framework to bring art closer to …
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Learners' efficiency prediction using facial behavior analysis
In the e-learning context, how much the learner is concentrated and engaged, or the learners’ efficiency, is essential for …
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Museum Experience into a Souvenir: Generating Memorable Postcards from Guide Device Behavior Log
This paper proposes a method for automatically generating postcards that reflect each visitor’s museum experience by analyzing …
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PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation
We propose a new 2D pose refinement network that learns to predict the human bias in the estimated 2D pose. There are biases in 2D pose …
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Attending self-attention: A case study of visually grounded supervision in vision-and-language transformers
The impressive performances of pre-trained visually grounded language models have motivated a growing body of research investigating …
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MTUNet: Few-shot image classification with visual explanations
Few-shot learning (FSL) approaches, mostly neural network-based, are assuming that the pre-trained knowledge can be obtained from base …
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WRIME: A new dataset for emotional intensity estimation with subjective and objective annotations
We annotate 17,000 SNS posts with both the writer’s subjective emotional intensity and the reader’s objective one to construct a …
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