1 citations · 2 across the 4 of their papers we have counts for
4 papers
A Markovian View of Iterative-Feedback Loops in Image Generative Models: Neural Resonance and Model Collapse
Vibhas Kumar Vats, David J. Crandall, Samuel Goree
AI training datasets will inevitably contain AI-generated examples, leading to ``feedback'' in which the output of one model impacts the training of another. It is known that such…
Situated Cameras, Situated Knowledges: Towards an Egocentric Epistemology for Computer Vision
Samuel Goree, David Crandall
In her influential 1988 paper, Situated Knowledges, Donna Haraway uses vision and perspective as a metaphor to discuss scientific knowledge. Today, egocentric computer vision discu…
Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper
Samuel Goree, Gabriel Appleby, David Crandall +1
Research papers, in addition to textual documents, are a designed interface through which researchers communicate. Recently, rapid growth has transformed that interface in many fie…
HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters
Gabriel Appleby, Mateus Espadoto, Rui Chen +4
Projection algorithms such as t-SNE or UMAP are useful for the visualization of high dimensional data, but depend on hyperparameters which must be tuned carefully. Unfortunately, i…