Tran Anh Tuan

2 accepted papers

2023

Improving Pareto Front Learning via Multi-Sample Hypernetworks

Long P. Hoang, Dung D. Le, Tran Anh Tuan, Tran Ngoc Thang

AAAI 2023technical

Pareto Front Learning (PFL) was recently introduced as an effective approach to obtain a mapping function from a given trade-off vector to a solution on the Pareto front, which solves the multi-objective optimization (MOO) problem. Due to the inherent trade-off between conflicting objectives, PFL of…

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2021

ColorRL: Reinforced Coloring for End-to-End Instance Segmentation

Tran Anh Tuan, Nguyen Tuan Khoa, Tran Minh Quan, Won-Ki Jeong

CVPR 2021poster

Instance segmentation, the task of identifying and separating each individual object of interest in the image, is one of the actively studied research topics in computer vision. Although many feed-forward networks produce high-quality binary segmentation on different types of images, their final res…

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