237 citations · 2.1k across the 121 of their papers we have counts for
4 papers · 1 filter
Iterative Learning with Open-set Noisy Labels
Yisen Wang, Weiyang Liu, Xingjun Ma +4
Large-scale datasets possessing clean label annotations are crucial for training Convolutional Neural Networks (CNNs). However, labeling large-scale data can be very costly and err…
A constrained clustering based approach for matching a collection of feature sets
Junchi Yan, Zhe Ren, Hongyuan Zha +1
In this paper, we consider the problem of finding the feature correspondences among a collection of feature sets, by using their point-wise unary features. This is a fundamental pr…
Fractal Dimension Invariant Filtering and Its CNN-based Implementation
Hongteng Xu, Junchi Yan, Nils Persson +2
Fractal analysis has been widely used in computer vision, especially in texture image processing and texture analysis. The key concept of fractal-based image model is the fractal d…
A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting
Junchi Yan, Minsu Cho, Hongyuan Zha +2
This paper addresses the problem of matching weighted graphs referring to an identical object or category. More specifically, matching the common node correspondences among gra…