b'Anh Tran'

research

∙ 09/03/2023

UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance

Object detection has long been a topic of high interest in computer visi...

0 Son Tran, et al. ∙

research

∙ 07/17/2023

Flow Matching in Latent Space

Flow matching is a recent framework to train generative models that exhi...

0 Quan Dao, et al. ∙

research

∙ 06/12/2023

AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation

Aerial Image Segmentation is a top-down perspective semantic segmentatio...

0 Kashu Yamazaki, et al. ∙

research

∙ 05/18/2023

Improved and Partially-Tight Lower Bounds for Message-Passing Implementations of Multiplicity Queues

A multiplicity queue is a concurrently-defined data type which relaxes t...

0 Anh Tran, et al. ∙

research

∙ 05/07/2023

Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial

On top of machine learning models, uncertainty quantification (UQ) funct...

5 Venkat Nemani, et al. ∙

research

∙ 04/04/2023

HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering

We consider the challenging task of training models for image-to-video d...

0 Bang-Dang Pham, et al. ∙

research

∙ 03/27/2023

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis

Text-to-image diffusion models are nothing but a revolution, allowing an...

0 Thanh Van Le, et al. ∙

research

∙ 03/24/2023

Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis

Any-scale image synthesis offers an efficient and scalable solution to s...

0 Thuan Hoang Nguyen, et al. ∙

research

∙ 03/14/2023

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment

Medical phrase grounding (MPG) aims to locate the most relevant region i...

6 Zhihao Chen, et al. ∙

research

∙ 03/14/2023

An asynchronous parallel high-throughput model calibration framework for crystal plasticity finite element constitutive models

Crystal plasticity finite element model (CPFEM) is a powerful numerical ...

0 Anh Tran, et al. ∙

research

∙ 02/06/2023

Multi-fidelity microstructure-induced uncertainty quantification by advanced Monte Carlo methods

Quantifying uncertainty associated with the microstructure variation of ...

0 Anh Tran, et al. ∙

research

∙ 01/26/2023

The multifaceted nature of uncertainty in structure-property linkage with crystal plasticity finite element model

Uncertainty quantification (UQ) plays a critical role in verifying and v...

0 Anh Tran, et al. ∙

research

∙ 12/18/2022

Marginal-Certainty-aware Fair Ranking Algorithm

Ranking systems are ubiquitous in modern Internet services, including on...

0 Tao Yang, et al. ∙

research

∙ 11/29/2022

Wavelet Diffusion Models are fast and scalable Image Generators

Diffusion models are rising as a powerful solution for high-fidelity ima...

0 Hao Phung, et al. ∙

research

∙ 08/31/2022

Monotonic Gaussian process for physics-constrained machine learning with materials science applications

Physics-constrained machine learning is emerging as an important topic i...

0 Anh Tran, et al. ∙

research

∙ 08/16/2022

Reinforcement Learning to Rank with Coarse-grained Labels

Ranking lies at the core of many Information Retrieval (IR) tasks. While...

0 Zhichao Xu, et al. ∙

research

∙ 06/10/2022

Learning to Rank Rationales for Explainable Recommendation

State-of-the-art recommender system (RS) mostly rely on complex deep neu...

0 Zhichao Xu, et al. ∙

research

∙ 11/27/2021

On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources

Domain adaptation (DA) benefits from the rigorous theoretical works that...

0 Trung Phung, et al. ∙

research

∙ 10/16/2021

Transformer with a Mixture of Gaussian Keys

Multi-head attention is a driving force behind state-of-the-art transfor...

9 Tam Nguyen, et al. ∙

research

∙ 08/12/2021

Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers

Bayesian optimization (BO) is a flexible and powerful framework that is ...

0 Anh Tran, et al. ∙

research

∙ 08/11/2021

ULTRA: An Unbiased Learning To Rank Algorithm Toolbox

Learning to rank systems has become an important aspect of our daily lif...

14 Anh Tran, et al. ∙

research

∙ 04/08/2021

Progressive Semantic Segmentation

The objective of this work is to segment high-resolution images without ...

0 Chuong Huynh, et al. ∙

research

∙ 04/05/2021

Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer

Makeup transfer is the task of applying on a source face the makeup styl...

0 Thao Nguyen, et al. ∙

research

∙ 04/01/2021

Explore Image Deblurring via Blur Kernel Space

This paper introduces a method to encode the blur operators of an arbitr...

0 Phong Tran, et al. ∙

research

∙ 03/01/2021

FineNet: Frame Interpolation and Enhancement for Face Video Deblurring

The objective of this work is to deblur face videos. We propose a method...

0 Phong Tran, et al. ∙

research

∙ 02/20/2021

WaNet – Imperceptible Warping-based Backdoor Attack

With the thriving of deep learning and the widespread practice of using ...

5 Anh Nguyen, et al. ∙

research

∙ 10/16/2020

Input-Aware Dynamic Backdoor Attack

In recent years, neural backdoor attack has been considered to be a pote...

0 Anh Nguyen, et al. ∙

research

∙ 10/07/2020

Solving stochastic inverse problems for property-structure linkages using data-consistent inversion and machine learning

Determining process-structure-property linkages is one of the key object...

0 Anh Tran, et al. ∙

research

∙ 07/07/2020

srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications

Bayesian optimization (BO) is an efficient and flexible global optimizat...

0 Anh Tran, et al. ∙

research

∙ 05/30/2020

Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys

We present a scale-bridging approach based on a multi-fidelity (MF) mach...

0 Anh Tran, et al. ∙

research

∙ 04/24/2020

An active learning high-throughput microstructure calibration framework for solving inverse structure-process problems in materials informatics

Determining a process-structure-property relationship is the holy grail ...

0 Anh Tran, et al. ∙

research

∙ 03/30/2020

Multiscale stochastic reduced-order model for uncertainty propagation using Fokker-Planck equation with microstructure evolution applications

Uncertainty involved in computational materials modeling needs to be qua...

0 Anh Tran, et al. ∙

research

∙ 03/20/2020

aphBO-2GP-3B: A budgeted asynchronously-parallel multi-acquisition for known/unknown constrained Bayesian optimization on high-performing computing architecture

High-fidelity complex engineering simulations are highly predictive, but...

9 Anh Tran, et al. ∙

research

∙ 09/02/2014

Action Recognition in the Frequency Domain

In this paper, we describe a simple strategy for mitigating variability ...

0 Anh Tran, et al. ∙

Anh Tran

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