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Is Internal State Feedback in an E-learning Environment Acceptable to People?
In on-demand e-learning environments, the lack of direct intervention can lead to a decline in learners’ engagement. To address …
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MIDAS: Mixing Ambiguous Data With Soft Labels for Dynamic Facial Expression Recognition
Dynamic facial expression recognition (DFER) is an important task in the field of computer vision. To apply automatic DFER in practice, …
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Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting
Facial expression spotting is a significant but challenging task in facial expression analysis. The accuracy of expression spotting is …
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Pseudo-Label Learning with Calibrated Confidence Using an Energy-Based Model
In pseudo-labeling (PL), which is a type of semi-supervised learning, pseudo-labels are assigned based on the confidence scores …
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Revisiting Pixel-Level Contrastive Pre-Training on Scene Images
Contrastive image representation learning through instance discrimination has shown impressive transfer performance. Recent strategies …
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ICDAR’23: Intelligent Cross-Data Analysis and Retrieval
Recently, there has been an increased interest in cross-data research problems, such as predicting air quality using life logging …
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Learning bottleneck concepts in image classification
Interpreting and explaining the behavior of deep neural networks is critical for many tasks. Explainable AI provides a way to address …
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Model-agnostic gender debiased image captioning
Image captioning models are known to perpetuate and amplify harmful societal bias in the training set. In this work, we aim to mitigate …
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Not only generative art: Stable diffusion for content-style disentanglement in art analysis
The duality of content and style is inherent to the nature of art. For humans, these two elements are clearly different: content refers …
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Toward verifiable and reproducible human evaluation for text-to-image generation
Human evaluation is critical for validating the performance of text-to-image generative models, as this highly cognitive process …
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