output
20162026
most citedFusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

296 citations

Showing 2022Show all

11 papers · 1 filter

cs.CV2022★ 12 cited

FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training

Quan Nguyen, Hieu H. Pham, Kok-Seng Wong +3

We introduce FedDCT, a novel distributed learning paradigm that enables the usage of large, high-performance CNNs on resource-limited edge devices. As opposed to traditional FL app…

cs.CV2022★ 19 cited

Enhancing Few-shot Image Classification with Cosine Transformer

Quang-Huy Nguyen, Cuong Q. Nguyen, Dung D. Le +1

This paper addresses the few-shot image classification problem, where the classification task is performed on unlabeled query samples given a small amount of labeled support sample…

cs.CL2022★ 5 cited

From Disfluency Detection to Intent Detection and Slot Filling

Mai Hoang Dao, Thinh Hung Truong, Dat Quoc Nguyen

We present the first empirical study investigating the influence of disfluency detection on downstream tasks of intent detection and slot filling. We perform this study for Vietnam…

eess.IV2022★ 4 cited

Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese

Thao T. B. Nguyen, Tam M. Vo, Thang V. Nguyen +2

We propose a data collecting and annotation pipeline that extracts information from Vietnamese radiology reports to provide accurate labels for chest X-ray (CXR) images. This can b…

cs.LG2022★ 11 cited

A Deep Reinforcement Learning-based Adaptive Charging Policy for WRSNs

Ngoc Bui, Phi Le Nguyen, Viet Anh Nguyen +1

Wireless sensor networks consist of randomly distributed sensor nodes for monitoring targets or areas of interest. Maintaining the network for continuous surveillance is a challeng…

cs.CV2022★ 24 cited

Video-based Human Action Recognition using Deep Learning: A Review

Hieu H. Pham, Louahdi Khoudour, Alain Crouzil +2

Human action recognition is an important application domain in computer vision. Its primary aim is to accurately describe human actions and their interactions from a previously uns…