4 papers
Multi-modal Video Chapter Generation
Xiao Cao, Zitan Chen, Canyu Le +1
Chapter generation becomes practical technique for online videos nowadays. The chapter breakpoints enable users to quickly find the parts they want and get the summative annotation…
Continual Local Replacement for Few-shot Learning
Canyu Le, Zhonggui Chen, Xihan Wei +2
The goal of few-shot learning is to learn a model that can recognize novel classes based on one or few training data. It is challenging mainly due to two aspects: (1) it lacks good…
Learning Continually from Low-shot Data Stream
Canyu Le, Xihan Wei, Biao Wang +2
While deep learning has achieved remarkable results on various applications, it is usually data hungry and struggles to learn over non-stationary data stream. To solve these two li…
JigsawNet: Shredded Image Reassembly using Convolutional Neural Network and Loop-based Composition
Canyu Le, Xin Li
This paper proposes a novel algorithm to reassemble an arbitrarily shredded image to its original status. Existing reassembly pipelines commonly consist of a local matching stage a…