High-order interaction learning for image captioning
Y Wang, N Xu, AA Liu, W Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Image captioning aims at understanding various semantic concepts (eg, objects and
relationships) from an image and integrating them in a sentence-level description. Hence, it …
relationships) from an image and integrating them in a sentence-level description. Hence, it …
“It's complicated”: Negotiating accessibility and (mis) representation in image descriptions of race, gender, and disability
Content creators are instructed to write textual descriptions of visual content to make it
accessible; yet existing guidelines lack specifics on how to write about people's appearance …
accessible; yet existing guidelines lack specifics on how to write about people's appearance …
Communicating visualizations without visuals: Investigation of visualization alternative text for people with visual impairments
Alternative text is critical in communicating graphics to people who are blind or have low
vision. Especially for graphics that contain rich information, such as visualizations, poorly …
vision. Especially for graphics that contain rich information, such as visualizations, poorly …
" Person, Shoes, Tree. Is the Person Naked?" What People with Vision Impairments Want in Image Descriptions
Access to digital images is important to people who are blind or have low vision (BLV). Many
contemporary image description efforts do not take into account this population's nuanced …
contemporary image description efforts do not take into account this population's nuanced …
Measuring representational harms in image captioning
Previous work has largely considered the fairness of image captioning systems through the
underspecified lens of “bias.” In contrast, we present a set of techniques for measuring five …
underspecified lens of “bias.” In contrast, we present a set of techniques for measuring five …
Understanding blind people's experiences with computer-generated captions of social media images
Research advancements allow computational systems to automatically caption social media
images. Often, these captions are evaluated with sighted humans using the image as a …
images. Often, these captions are evaluated with sighted humans using the image as a …
Towards unsupervised image captioning with shared multimodal embeddings
Understanding images without explicit supervision has become an important problem in
computer vision. In this paper, we address image captioning by generating language …
computer vision. In this paper, we address image captioning by generating language …
SciCap: Generating captions for scientific figures
Researchers use figures to communicate rich, complex information in scientific papers. The
captions of these figures are critical to conveying effective messages. However, low-quality …
captions of these figures are critical to conveying effective messages. However, low-quality …
Going beyond one-size-fits-all image descriptions to satisfy the information wants of people who are blind or have low vision
Image descriptions are how people who are blind or have low vision (BLV) access
information depicted within images. To our knowledge, no prior work has examined how a …
information depicted within images. To our knowledge, no prior work has examined how a …
Supporting accessible data visualization through audio data narratives
Online data visualizations play an important role in informing public opinion but are often
inaccessible to screen reader users. To address the need for accessible data …
inaccessible to screen reader users. To address the need for accessible data …