4 citations · 4 across the 1 of their papers we have counts for
5 papers
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
Zhipeng Cai, Ozan Sener, Vladlen Koltun
Continual learning is the problem of learning and retaining knowledge through time over multiple tasks and environments. Research has primarily focused on the incremental classific…
Consensus Maximization Tree Search Revisited
Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun
Consensus maximization is widely used for robust fitting in computer vision. However, solving it exactly, i.e., finding the globally optimal solution, is intractable. A* tree searc…
Practical optimal registration of terrestrial LiDAR scan pairs
Zhipeng Cai, Tat-Jun Chin, Alvaro Parra Bustos +1
Point cloud registration is a fundamental problem in 3D scanning. In this paper, we address the frequent special case of registering terrestrial LiDAR scans (or, more generally, le…
Deterministic consensus maximization with biconvex programming
Zhipeng Cai, Tat-Jun Chin, Huu Le +1
Consensus maximization is one of the most widely used robust fitting paradigms in computer vision, and the development of algorithms for consensus maximization is an active researc…
Robust Fitting in Computer Vision: Easy or Hard?
Tat-Jun Chin, Zhipeng Cai, Frank Neumann
Robust model fitting plays a vital role in computer vision, and research into algorithms for robust fitting continues to be active. Arguably the most popular paradigm for robust fi…