paper-conference

Quantifying Societal Bias Amplification in Image Captioning
Vision-and-language tasks have increasingly drawn more attention as a means to evaluate human-like reasoning in machine learning …
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Deep Bayesian Active Learning to Rank for Endoscopic Image Data
Automatic image-based disease severity estimation generally uses discrete (i.e., quantized) severity labels. Annotating discrete labels …
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Deep Gesture Generation for Social Robots Using Type-Specific Libraries
Body language such as conversational gesture is a powerful way to ease communication. Conversational gestures do not only make a speech …
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Emotional Intensity Estimation based on Writer’s Personality
We propose a method for personalized emotional intensity estimation based on a writer’s personality test for Japanese SNS posts. …
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ICDAR'22: Intelligent Cross-Data Analysis and Retrieval
We have witnessed the rise of cross-data against multimodal data problems recently. The cross-modal retrieval system uses a textual …
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Integration of gesture generation system using gesture library with DIY robot design kit
Conversational agents are expected to improve the quality of communication by adding gestures to the speech, and are considered to be a …
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Multi-label disengagement and behavior prediction in online learning
Student disengagement prediction in online learning environments is beneficial in various ways, especially to help provide timely cues …
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Tone Classification for Political Advertising Video using Multimodal Cues
Politics has always gotten much attention throughout history, and video advertisement has become one of the most essential tools for …
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GCNBoost: Artwork Classificationby Label Propagation Through a Knowledge Graph
Video question answering (VideoQA) is designed to answer a given question based on a relevant video clip. The current available …
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Image Retrieval by Hierarchy-aware Deep Hashing Based on Multi-task Learning
Deep hashing has been widely used to approximate nearest-neighbor search for image retrieval tasks. Most of them are trained with …
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