This graph is for the IEEE/CVF Conference on Computer Vision and Pattern Recognition. The graph is a visualization on the workshop papers for the conference distributed based on their similarity to each other. The closer the papers are, the more similar the abstracts. This graph can be used to search for papers and to find papers that are similar to each other. Once you find an interesting paper by searching, you can hover your mouse over nearby papers to see them. You can also click and drag a box over the graph to see a keyword summary and list of the papers on the right. For more information, please visit our blog post.

Each dot represents a paper with the color representing the workshop. The papers are arranged by a measure of similarity.

If you hover over a dot, you see the related paper.

If you click on a dot, you go to the related workshop page.

You can search for papers by author, workshop or title

Drag a rectangle to summarize an area of the plot.

Graphs created by Dr. Christopher Funk (Kitware) and Dr. Roni Choudhury (Kitware). Special thanks to Dr. Hendrik Strobelt IBM for the orininal similarity graph created for Mini-Conf, Professor Sasha Rush (Cornell) for advice on the embeddings, and Dr. Anthony Hoogs (Kitware) and Dr. Jeffrey Baumes (Kitware) for support and advice. If you want to know more about the graphs, please visit our blog post.