b'Anh Nguyen'

research

∙ 09/18/2023

Grasp-Anything: Large-scale Grasp Dataset from Foundation Models

Foundation models such as ChatGPT have made significant strides in robot...

0 An Dinh Vuong, et al. ∙

research

∙ 08/25/2023

AdvisingNets: Learning to Distinguish Correct and Wrong Classifications via Nearest-Neighbor Explanations

Besides providing insights into how an image classifier makes its predic...

0 Giang Nguyen, et al. ∙

research

∙ 07/07/2023

Detecting the Sensing Area of A Laparoscopic Probe in Minimally Invasive Cancer Surgery

In surgical oncology, it is challenging for surgeons to identify lymph n...

0 Baoru Huang, et al. ∙

research

∙ 06/20/2023

HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation

Visual navigation, a foundational aspect of Embodied AI (E-AI), has been...

0 An Dinh Vuong, et al. ∙

research

∙ 04/16/2023

Translating Simulation Images to X-ray Images via Multi-Scale Semantic Matching

Endovascular intervention training is increasingly being conducted in vi...

0 Jingxuan Kang, et al. ∙

research

∙ 04/11/2023

Zoom is what you need: An empirical study of the power of zoom and spatial biases in image classification

Image classifiers are information-discarding machines, by design. Yet, h...

0 Mohammad Reza Taesiri, et al. ∙

research

∙ 03/22/2023

Music-Driven Group Choreography

Music-driven choreography is a challenging problem with a wide variety o...

0 Nhat Le, et al. ∙

research

∙ 03/17/2023

Style Transfer for 2D Talking Head Animation

Audio-driven talking head animation is a challenging research topic with...

0 Trong-Thang Pham, et al. ∙

research

∙ 03/13/2023

Meet in the Middle: A New Pre-training Paradigm

Most language models (LMs) are trained and applied in an autoregressive ...

0 Anh Nguyen, et al. ∙

research

∙ 03/11/2023

Addressing Non-IID Problem in Federated Autonomous Driving with Contrastive Divergence Loss

Federated learning has been widely applied in autonomous driving since i...

0 Tuong Do, et al. ∙

research

∙ 03/04/2023

Open-Vocabulary Affordance Detection in 3D Point Clouds

Affordance detection is a challenging problem with a wide variety of rob...

0 Toan Ngyen, et al. ∙

research

∙ 02/25/2023

A Light-weight Deep Learning Model for Remote Sensing Image Classification

In this paper, we present a high-performance and light-weight deep learn...

5 Lam Pham, et al. ∙

research

∙ 01/25/2023

ViDeBERTa: A powerful pre-trained language model for Vietnamese

This paper presents ViDeBERTa, a new pre-trained monolingual language mo...

0 Cong Dao Tran, et al. ∙

research

∙ 11/11/2022

Two-Step Online Trajectory Planning of a Quadcopter in Indoor Environments with Obstacles

This paper presents a two-step algorithm for online trajectory planning ...

0 Martin Zimmermann, et al. ∙

research

∙ 11/08/2022

Machine Learning-based Framework for Optimally Solving the Analytical Inverse Kinematics for Redundant Manipulators

Solving the analytical inverse kinematics (IK) of redundant manipulators...

0 Minh Nhat Vu, et al. ∙

research

∙ 09/21/2022

Uncertainty-aware Label Distribution Learning for Facial Expression Recognition

Despite significant progress over the past few years, ambiguity is still...

6 Nhat Le, et al. ∙

research

∙ 09/11/2022

Inverse Image Frequency for Long-tailed Image Recognition

The long-tailed distribution is a common phenomenon in the real world. E...

0 Konstantinos Panagiotis Alexandridis, et al. ∙

research

∙ 08/17/2022

Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency

Depth estimation is a crucial step for image-guided intervention in robo...

0 Baoru Huang, et al. ∙

research

∙ 08/02/2022

CathSim: An Open-source Simulator for Autonomous Cannulation

Autonomous robots in endovascular operations have the potential to navig...

0 Tudor Jianu, et al. ∙

research

∙ 07/26/2022

Visual correspondence-based explanations improve AI robustness and human-AI team accuracy

Explaining artificial intelligence (AI) predictions is increasingly impo...

14 Giang Nguyen, et al. ∙

research

∙ 07/22/2022

Long-tailed Instance Segmentation using Gumbel Optimized Loss

Major advancements have been made in the field of object detection and s...

0 Konstantinos Panagiotis Alexandridis, et al. ∙

research

∙ 07/21/2022

CodeT: Code Generation with Generated Tests

The task of generating code solutions for a given programming problem ca...

0 Bei Chen, et al. ∙

research

∙ 07/20/2022

Multigraph Topology Design for Cross-Silo Federated Learning

Cross-silo federated learning utilizes a few hundred reliable data silos...

0 Binh X. Nguyen, et al. ∙

research

∙ 07/19/2022

PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search

Since BERT (Devlin et al., 2018), learning contextualized word embedding...

4 Thang M. Pham, et al. ∙

research

∙ 05/25/2022

How explainable are adversarially-robust CNNs?

Three important criteria of existing convolutional neural networks (CNNs...

7 Mehdi Nourelahi, et al. ∙

research

∙ 05/21/2022

Fine-Grained Visual Classification using Self Assessment Classifier

Extracting discriminative features plays a crucial role in the fine-grai...

0 Tuong Do, et al. ∙

research

∙ 01/01/2022

Understanding Public Opinion on Using Hydroxychloroquine for COVID-19 Treatment via Social Media

Hydroxychloroquine (HCQ) is used to prevent or treat malaria caused by m...

0 Thuy T. Do, et al. ∙

research

∙ 12/07/2021

DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification

Face identification (FI) is ubiquitous and drives many high-stake decisi...

0 Hai Phan, et al. ∙

research

∙ 11/07/2021

Global-Local Attention for Emotion Recognition

Human emotion recognition is an active research area in artificial intel...

5 Nhat Le, et al. ∙

research

∙ 10/22/2021

Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?

Explaining how important each input feature is to a classifier's decisio...

5 Thang M. Pham, et al. ∙

research

∙ 10/12/2021

Deep Federated Learning for Autonomous Driving

Autonomous driving is an active research topic in both academia and indu...

0 Anh Nguyen, et al. ∙

research

∙ 10/07/2021

DeepECMP: Predicting Extracellular Matrix Proteins using Deep Learning

Introduction: The extracellular matrix (ECM) is a networkof proteins and...

0 Mohamed Ghafoor, et al. ∙

research

∙ 10/06/2021

Coarse-to-Fine Reasoning for Visual Question Answering

Bridging the semantic gap between image and question is an important ste...

0 Binh X. Nguyen, et al. ∙

research

∙ 10/04/2021

Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge

Deformable registration is a crucial step in many medical procedures suc...

0 Minh Q. Tran, et al. ∙

research

∙ 09/27/2021

Attention Gate in Traffic Forecasting

Because of increased urban complexity and growing populations, more and ...

0 Anh Lam, et al. ∙

research

∙ 09/27/2021

Semi-Supervised Adversarial Discriminative Domain Adaptation

Domain adaptation is a potential method to train a powerful deep neural ...

0 Thai-Vu Nguyen, et al. ∙

research

∙ 08/24/2021

Occlusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgery

Conventional computer-assisted orthopaedic navigation systems rely on th...

17 Xue Hu, et al. ∙

research

∙ 07/09/2021

Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images

Dense depth estimation and 3D reconstruction of a surgical scene are cru...

0 Baoru Huang, et al. ∙

research

∙ 06/13/2021

The DEformer: An Order-Agnostic Distribution Estimating Transformer

Order-agnostic autoregressive distribution estimation (OADE), i.e., auto...

0 Michael A. Alcorn, et al. ∙

research

∙ 06/13/2021

Inverting Adversarially Robust Networks for Image Synthesis

Recent research in adversarially robust classifiers suggests their repre...

0 Renan A. Rojas-Gomez, et al. ∙

research

∙ 05/31/2021

The effectiveness of feature attribution methods and its correlation with automatic evaluation scores

Explaining the decisions of an Artificial Intelligence (AI) model is inc...

10 Giang Nguyen, et al. ∙

research

∙ 05/19/2021

Multiple Meta-model Quantifying for Medical Visual Question Answering

Transfer learning is an important step to extract meaningful features an...

0 Tuong Do, et al. ∙

research

∙ 04/24/2021

baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents

In many multi-agent spatiotemporal systems, the agents are under the inf...

0 Michael A. Alcorn, et al. ∙

research

∙ 04/14/2021

Graph-based Person Signature for Person Re-Identifications

The task of person re-identification (ReID) is to match images of the sa...

0 Binh X. Nguyen, et al. ∙

research

∙ 04/05/2021

An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network

This paper provides an analysis of state-of-the-art activation functions...

0 Anh Nguyen, et al. ∙

research

∙ 03/04/2021

Speech Emotion Recognition using Semantic Information

Speech emotion recognition is a crucial problem manifesting in a multitu...

0 Panagiotis Tzirakis, 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

∙ 02/05/2021

baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling

Multi-agent spatiotemporal modeling is a challenging task from both an a...

7 Michael A. Alcorn, et al. ∙

research

∙ 12/30/2020

Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?

Do state-of-the-art natural language understanding models care about wor...

0 Thang M. Pham, et al. ∙

research

∙ 12/26/2020

Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds

This paper proposes a robust deep learning framework used for classifyin...

0 Dat Ngo, et al. ∙

Anh Nguyen

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