b'Khoa Luu'

research

∙ 09/18/2023

Quantum Vision Clustering

Unsupervised visual clustering has recently received considerable attent...

0 Xuan-Bac Nguyen, et al. ∙

research

∙ 08/01/2023

The Algonauts Project 2023 Challenge: UARK-UAlbany Team Solution

This work presents our solutions to the Algonauts Project 2023 Challenge...

0 Xuan-Bac Nguyen, et al. ∙

research

∙ 06/16/2023

UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation

Multiple Object Tracking (MOT) aims to find bounding boxes and identitie...

0 Pha Nguyen, et al. ∙

research

∙ 05/28/2023

Z-GMOT: Zero-shot Generic Multiple Object Tracking

Despite the significant progress made in recent years, Multi-Object Trac...

0 Kim Hoang Tran, et al. ∙

research

∙ 05/25/2023

Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments

Continual semantic segmentation aims to learn new classes while maintain...

0 Thanh-Dat Truong, et al. ∙

research

∙ 05/25/2023

Cross-view Action Recognition Understanding From Exocentric to Egocentric Perspective

Understanding action recognition in egocentric videos has emerged as a v...

0 Thanh-Dat Truong, et al. ∙

research

∙ 05/22/2023

Type-to-Track: Retrieve Any Object via Prompt-based Tracking

One of the recent trends in vision problems is to use natural language c...

0 Pha Nguyen, et al. ∙

research

∙ 04/14/2023

Fairness in Visual Clustering: A Novel Transformer Clustering Approach

Promoting fairness for deep clustering models in unsupervised clustering...

0 Xuan-Bac Nguyen, et al. ∙

research

∙ 04/14/2023

CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation

The research in self-supervised domain adaptation in semantic segmentati...

0 Thanh-Dat Truong, et al. ∙

research

∙ 04/14/2023

CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation

Understanding semantic scene segmentation of urban scenes captured from ...

0 Thanh-Dat Truong, et al. ∙

research

∙ 04/06/2023

Micron-BERT: BERT-based Facial Micro-Expression Recognition

Micro-expression recognition is one of the most challenging topics in af...

0 Xuan-Bac Nguyen, et al. ∙

research

∙ 04/04/2023

FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding

Although Domain Adaptation in Semantic Scene Segmentation has shown impr...

0 Thanh-Dat Truong, et al. ∙

research

∙ 12/12/2022

Contextual Explainable Video Representation: Human Perception-based Understanding

Video understanding is a growing field and a subject of intense research...

0 Khoa Vo, et al. ∙

research

∙ 12/06/2022

Neural Cell Video Synthesis via Optical-Flow Diffusion

The biomedical imaging world is notorious for working with small amounts...

0 Manuel Serna-Aguilera, et al. ∙

research

∙ 12/01/2022

CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars

Although unsupervised domain adaptation methods have achieved remarkable...

0 Thanh-Dat Truong, et al. ∙

research

∙ 11/17/2022

Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach

The development of autonomous vehicles generates a tremendous demand for...

0 Pha Nguyen, et al. ∙

research

∙ 09/11/2022

Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition

In this work, we investigate the problem of face reconstruction given a ...

0 Thanh-Dat Truong, et al. ∙

research

∙ 07/10/2022

Depth Perspective-aware Multiple Object Tracking

This paper aims to tackle Multiple Object Tracking (MOT), an important p...

8 Kha Gia Quach, et al. ∙

research

∙ 06/26/2022

VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning

In this paper, we leverage the human perceiving process, that involves v...

3 Kashu Yamazaki, et al. ∙

research

∙ 06/07/2022

Self-supervised Domain Adaptation in Crowd Counting

Self-training crowd counting has not been attentively explored though it...

0 Pha Nguyen, et al. ∙

research

∙ 05/31/2022

Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning

In quantum machine field, detecting two-dimensional (2D) materials in Si...

0 Xuan-Bac Nguyen, et al. ∙

research

∙ 05/22/2022

OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation

Unsupervised domain adaptation is one of the challenging problems in com...

0 Thanh-Dat Truong, et al. ∙

research

∙ 04/19/2022

Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles

The development of autonomous vehicles provides an opportunity to have a...

0 Pha Nguyen, et al. ∙

research

∙ 03/19/2022

DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition

Human action recognition has recently become one of the popular research...

0 Thanh-Dat Truong, et al. ∙

research

∙ 03/16/2022

CapsNet for Medical Image Segmentation

Convolutional Neural Networks (CNNs) have been successful in solving tas...

47 Minh Tran, et al. ∙

research

∙ 08/25/2021

Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey

Deep reinforcement learning augments the reinforcement learning framewor...

0 Ngan Le, et al. ∙

research

∙ 08/06/2021

BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation

Semantic segmentation aims to predict pixel-level labels. It has become ...

0 Thanh-Dat Truong, et al. ∙

research

∙ 08/06/2021

The Right to Talk: An Audio-Visual Transformer Approach

Turn-taking has played an essential role in structuring the regulation o...

10 Thanh-Dat Truong, et al. ∙

research

∙ 06/12/2021

DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking

Multi-Camera Multiple Object Tracking (MC-MOT) is a significant computer...

0 Kha Gia Quach, 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

∙ 03/05/2021

Deep reinforcement learning in medical imaging: A literature review

Deep reinforcement learning (DRL) augments the reinforcement learning fr...

68 S. Kevin Zhou, et al. ∙

research

∙ 12/04/2020

Offset Curves Loss for Imbalanced Problem in Medical Segmentation

Medical image segmentation has played an important role in medical analy...

20 Ngan Le, et al. ∙

research

∙ 12/03/2020

Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation

Image synthesis from corrupted contrasts increases the diversity of diag...

0 Toan Duc Bui, et al. ∙

research

∙ 04/09/2020

Beyond Disentangled Representations: An Attentive Angular Distillation Approach to Large-scale Lightweight Age-Invariant Face Recognition

Disentangled representations have been commonly adopted to Age-invariant...

0 Thanh-Dat Truong, et al. ∙

research

∙ 03/16/2020

Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition

Unveiling face images of a subject given his/her high-level representati...

0 Chi Nhan Duong, et al. ∙

research

∙ 05/28/2019

Image Alignment in Unseen Domains via Domain Deep Generalization

Image alignment across domains has recently become one of the realistic ...

0 Thanh-Dat Truong, et al. ∙

research

∙ 05/28/2019

Recognition in Unseen Domains: Domain Generalization via Universal Non-volume Preserving Models

Recognition across domains has recently become an active topic in the re...

0 Thanh-Dat Truong, et al. ∙

research

∙ 05/27/2019

Defining Quantum Neural Networks via Quantum Time Evolution

This work presents a novel fundamental algorithm for for defining and tr...

0 Aditya Dendukuri, et al. ∙

research

∙ 05/25/2019

ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks

Large-scale face recognition in-the-wild has been recently achieved matu...

0 Chi Nhan Duong, et al. ∙

research

∙ 05/24/2019

Generative Flow via Invertible nxn Convolution

Flow-based generative models have recently become one of the most effici...

0 Thanh-Dat Truong, et al. ∙

research

∙ 12/28/2018

Image Processing in Quantum Computers

Quantum Image Processing (QIP) is an exiting new field showing a lot of ...

0 Aditya Dendukuri, et al. ∙

research

∙ 12/09/2018

Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models

Recognition across domains has recently become an active topic in the re...

0 Thanh-Dat Truong, et al. ∙

research

∙ 11/28/2018

Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos

Group-level emotion recognition (ER) is a growing research area as the d...

8 Kha Gia Quach, et al. ∙

research

∙ 11/27/2018

Automatic Face Aging in Videos via Deep Reinforcement Learning

This paper presents a novel approach for synthesizing automatically age-...

0 Chi Nhan Duong, et al. ∙

research

∙ 11/27/2018

MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices

Deep neural networks have been widely used in numerous computer vision a...

0 Chi Nhan Duong, et al. ∙

research

∙ 02/25/2018

Seeing Small Faces from Robust Anchor's Perspective

This paper introduces a novel anchor design to support anchor-based face...

0 Chenchen Zhu, et al. ∙

research

∙ 02/23/2018

Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches

Face Aging has raised considerable attentions and interest from the comp...

0 Chi Nhan Duong, et al. ∙

research

∙ 11/28/2017

Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning

This paper presents a novel Generative Probabilistic Modeling under an I...

0 Chi Nhan Duong, et al. ∙

research

∙ 07/18/2017

Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses

Facial alignment involves finding a set of landmark points on an image w...

0 Chandrasekhar Bhagavatula, et al. ∙

research

∙ 03/24/2017

Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition

Modeling the long-term facial aging process is extremely challenging due...

0 Chi Nhan Duong, et al. ∙

Khoa Luu

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