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

296 citations

Showing 2021Show all

5 papers · 1 filter

cs.CL2021

PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation

Long Doan, Linh The Nguyen, Nguyen Luong Tran +2

We introduce a high-quality and large-scale Vietnamese-English parallel dataset of 3.02M sentence pairs, which is 2.9M pairs larger than the benchmark Vietnamese-English machine tr…

cs.CV2021

Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images

Long-Nhat Ho, Anh Tuan Tran, Quynh Phung +1

Recovering the 3D structure of an object from a single image is a challenging task due to its ill-posed nature. One approach is to utilize the plentiful photos of the same object c…

eess.IV2021★ 16 cited

The Federated Tumor Segmentation (FeTS) Challenge

Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29

This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…

eess.IV2021★ 24 cited

VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels

Saahil Jain, Akshay Smit, Steven QH Truong +7

Automatic extraction of medical conditions from free-text radiology reports is critical for supervising computer vision models to interpret medical images. In this work, we show th…

cs.CV2021★ 5 cited

Point-set Distances for Learning Representations of 3D Point Clouds

Trung Nguyen, Quang-Hieu Pham, Tam Le +3

Learning an effective representation of 3D point clouds requires a good metric to measure the discrepancy between two 3D point sets, which is non-trivial due to their irregularity.…