4 citations · 7 across the 4 of their papers we have counts for
4 papers
Deep-Wide Learning Assistance for Insect Pest Classification
Toan Nguyen, Huy Nguyen, Huy Ung +2
Accurate insect pest recognition plays a critical role in agriculture. It is a challenging problem due to the intricate characteristics of insects. In this paper, we present DeWi,…
A Transformer-based Math Language Model for Handwritten Math Expression Recognition
Huy Quang Ung, Cuong Tuan Nguyen, Hung Tuan Nguyen +2
Handwritten mathematical expressions (HMEs) contain ambiguities in their interpretations, even for humans sometimes. Several math symbols are very similar in the writing style, suc…
An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Models
Hieu T. Ung, Huy Q. Ung, Binh T. Nguyen
Accurate insect pest recognition is significant to protect the crop or take the early treatment on the infected yield, and it helps reduce the loss for the agriculture economy. Des…
GSSF: A Generative Sequence Similarity Function based on a Seq2Seq model for clustering online handwritten mathematical answers
Huy Quang Ung, Cuong Tuan Nguyen, Hung Tuan Nguyen +1
Toward a computer-assisted marking for descriptive math questions,this paper presents clustering of online handwritten mathematical expressions (OnHMEs) to help human markers to ma…