7 citations · 7 across the 8 of their papers we have counts for
3 papers · 1 filter
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
Tianzhe Chu, Shengbang Tong, Tianjiao Ding +4
The advent of large pre-trained models has brought about a paradigm shift in both visual representation learning and natural language processing. However, clustering unlabeled imag…
Boosting RANSAC via Dual Principal Component Pursuit
Yunchen Yang, Xinyue Zhang, Tianjiao Ding +3
In this paper, we revisit the problem of local optimization in RANSAC. Once a so-far-the-best model has been found, we refine it via Dual Principal Component Pursuit (DPCP), a robu…
Learning to Parse Wireframes in Images of Man-Made Environments
Kun Huang, Yifan Wang, Zihan Zhou +3
In this paper, we propose a learning-based approach to the task of automatically extracting a "wireframe" representation for images of cluttered man-made environments. The wirefram…