paper-conference

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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Uncurated image-text datasets: Shedding light on demographic bias
The increasing tendency to collect large and uncurated datasets to train vision-and-language models has raised concerns about fair …
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ACT2G: Attention-based Contrastive Learning for Text-to-Gesture Generation
Recent increase of remote-work, online meeting and tele-operation task makes people find that gesture for avatars and communication …
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