activity
20192021
most citedContCap: A scalable framework for continual image captioning

10 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2021★ 6 cited

CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification

Mingu Kang, Trung Quang Tran, Seungju Cho +1

Adversarial attack is aimed at fooling the target classifier with imperceptible perturbation. Adversarial examples, which are carefully crafted with a malicious purpose, can lead t…

cs.CV2021★ 1 cited

ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation

Trung Quang Tran, Mingu Kang, Daeyoung Kim

This paper proposes integrating semantics-oriented similarity representation into RankingMatch, a recently proposed semi-supervised learning method. Our method, dubbed ReRankMatch,…

cs.CV2020

Simple Multi-Resolution Representation Learning for Human Pose Estimation

Trung Q. Tran, Giang V. Nguyen, Daeyoung Kim

Human pose estimation - the process of recognizing human keypoints in a given image - is one of the most important tasks in computer vision and has a wide range of applications inc…

cs.CL2020

AandP: Utilizing Prolog for converting between active sentence and passive sentence with three-steps conversion

Trung Q. Tran

I introduce a simple but efficient method to solve one of the critical aspects of English grammar which is the relationship between active sentence and passive sentence. In fact, a…

cs.CV2019★ 10 cited

ContCap: A scalable framework for continual image captioning

Giang Nguyen, Tae Joon Jun, Trung Tran +2

While advanced image captioning systems are increasingly describing images coherently and exactly, recent progress in continual learning allows deep learning models to avoid catast…