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20082026
most citedAnabranch Network for Camouflaged Object Segmentation

753 citations

Showing 2022Show all

7 papers · 1 filter

math.NT2022★ 2 cited

Well-Rounded Twists of Ideal Lattices from Imaginary Quadratic Fields

Nam H. Le, Dat T. Tran, Ha T. N. Tran

In this paper, we investigate the properties of well-rounded twists of a given ideal lattice of an imaginary quadratic field . We show that every ideal lattice of has at…

cs.GR2022★ 13 cited

SHREC 2022: Fitting and recognition of simple geometric primitives on point clouds

Chiara Romanengo, Andrea Raffo, Silvia Biasotti +17

This paper presents the methods that have participated in the SHREC 2022 track on the fitting and recognition of simple geometric primitives on point clouds. As simple primitives w…

nucl-th2022★ 7 cited

Low-energy Li()Li and Be()B radiative capture reactions within the Skyrme Hartree-Fock approach

Le-Anh Nguyen, Minh-Loc Bui

The electromagnetic dipole transitions in Be()B and Li()Li reactions at the keV-energy region were analyzed simultaneously within the Skyrme Hartree-Fock…

nucl-th2022★ 9 cited

Single-particle properties of the near-threshold proton-emitting resonance in B

Le-Anh Nguyen, Minh-Loc Bui, Naftali Auerbach +1

The excitation function of proton elastic scattering from Be at keV energy is calculated using the self-consistent Skyrme Hartree-Fock in the continuum method. The calculati…

cs.CL2022★ 13 cited

A Summary of the ALQAC 2021 Competition

Nguyen Ha Thanh, Bui Minh Quan, Chau Nguyen +13

We summarize the evaluation of the first Automated Legal Question Answering Competition (ALQAC 2021). The competition this year contains three tasks, which aims at processing the s…

cs.CV2022★ 15 cited

ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation

Khoa Vo, Kashu Yamazaki, Sang Truong +3

Temporal action proposal generation (TAPG) aims to estimate temporal intervals of actions in untrimmed videos, which is a challenging yet plays an important role in many tasks of v…

eess.IV2022★ 45 cited

SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical image segmentation

Quan-Dung Pham, Hai Nguyen-Truong, Nam Nguyen Phuong +1

Current research on deep learning for medical image segmentation exposes their limitations in learning either global semantic information or local contextual information. To tackle…