3 citations · 8 across the 8 of their papers we have counts for
8 papers
Focus for Free in Density-Based Counting
Zenglin Shi, Pascal Mettes, Cees G. M. Snoek
This work considers supervised learning to count from images and their corresponding point annotations. Where density-based counting methods typically use the point annotations onl…
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
Wenfang Sun, Yingjun Du, Xiantong Zhen +3
Meta-learning algorithms are able to learn a new task using previously learned knowledge, but they often require a large number of meta-training tasks which may not be readily avai…
Self-Ordering Point Clouds
Pengwan Yang, Cees G. M. Snoek, Yuki M. Asano
In this paper we address the task of finding representative subsets of points in a 3D point cloud by means of a point-wise ordering. Only a few works have tried to address this cha…
Generative Kernel Continual learning
Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao +1
Kernel continual learning by \citet{derakhshani2021kernel} has recently emerged as a strong continual learner due to its non-parametric ability to tackle task interference and cata…
Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du, Xiantong Zhen, Ling Shao +1
Neural memory enables fast adaptation to new tasks with just a few training samples. Existing memory models store features only from the single last layer, which does not generaliz…
Repetitive Activity Counting by Sight and Sound
Yunhua Zhang, Ling Shao, Cees G. M. Snoek
This paper strives for repetitive activity counting in videos. Different from existing works, which all analyze the visual video content only, we incorporate for the first time the…