Anh Nguyen

Orcid: 0000-0002-1449-211X

Affiliations:
  • University of Liverpool, Department of Computer Science, UK


According to our database1, Anh Nguyen authored at least 102 papers between 2013 and 2024.

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Bibliography

2024
Self-supervised learning for point cloud data: A survey.
Expert Syst. Appl., March, 2024

Film-GAN: towards realistic analog film photo generation.
Neural Comput. Appl., 2024

Zero-shot text classification with knowledge resources under label-fully-unseen setting.
Neurocomputing, 2024

Real-time active constraint generation and enforcement for surgical tools using 3D detection and localisation network.
Frontiers Robotics AI, 2024

Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification.
CoRR, 2024

GraspMamba: A Mamba-based Language-driven Grasp Detection Framework with Hierarchical Feature Learning.
CoRR, 2024

CathAction: A Benchmark for Endovascular Intervention Understanding.
CoRR, 2024

Language-driven Grasp Detection with Mask-guided Attention.
CoRR, 2024

Lightweight Language-driven Grasp Detection using Conditional Consistency Model.
CoRR, 2024

Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance.
CoRR, 2024

Language-Driven Closed-Loop Grasping with Model-Predictive Trajectory Replanning.
CoRR, 2024

High-fidelity Endoscopic Image Synthesis by Utilizing Depth-guided Neural Surfaces.
CoRR, 2024

Autonomous Catheterization with Open-source Simulator and Expert Trajectory.
CoRR, 2024

Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection.
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-Aware Prompting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Translating Simulation Images to X-Ray Images via Multi-scale Semantic Matching.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024

ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open-Vocabulary Affordance Detection using Knowledge Distillation and Text-Point Correlation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Language-Conditioned Affordance-Pose Detection in 3D Point Clouds.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Grasp-Anything: Large-scale Grasp Dataset from Foundation Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

WAVER: Writing-Style Agnostic Text-Video Retrieval Via Distilling Vision-Language Models Through Open-Vocabulary Knowledge.
Proceedings of the IEEE International Conference on Acoustics, 2024

Scalable Group Choreography via Variational Phase Manifold Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Adaptive Parametric Activation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Style Transfer for 2D Talking Head Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Language-driven Grasp Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Generating Valid and Natural Adversarial Examples with Large Language Models.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Controllable Group Choreography Using Contrastive Diffusion.
ACM Trans. Graph., December, 2023

Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation.
Pattern Recognit., December, 2023

In-Vivo Validation of a Novel Robotic Platform for Endovascular Intervention.
IEEE Trans. Biomed. Eng., June, 2023

Semi-supervised adversarial discriminative domain adaptation.
Appl. Intell., June, 2023

Fusing external knowledge resources for natural language understanding techniques: A survey.
Inf. Fusion, April, 2023

Inverse Image Frequency for Long-Tailed Image Recognition.
IEEE Trans. Image Process., 2023

Generating Valid and Natural Adversarial Examples with Large Language Models.
CoRR, 2023

3D Guidewire Shape Reconstruction from Monoplane Fluoroscopic Images.
CoRR, 2023

Shape-Sensitive Loss for Catheter and Guidewire Segmentation.
CoRR, 2023

Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding.
CoRR, 2023

Language-driven Scene Synthesis using Multi-conditional Diffusion Model.
CoRR, 2023

Decoding Radiologists Intense Focus for Accurate CXR Diagnoses: A Controllable and Interpretable AI System.
CoRR, 2023

HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation.
CoRR, 2023

Self-Supervised Learning for Point Clouds Data: A Survey.
CoRR, 2023

Music-Driven Group Choreography.
CoRR, 2023

Style Transfer for 2D Talking Head Animation.
CoRR, 2023

Addressing Non-IID Problem in Federated Autonomous Driving with Contrastive Divergence Loss.
CoRR, 2023

Uncertainty-aware Label Distribution Learning for Facial Expression Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Language-driven Scene Synthesis using Multi-conditional Diffusion Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation.
Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023

Detecting the Sensing Area of a Laparoscopic Probe in Minimally Invasive Cancer Surgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Open-Vocabulary Affordance Detection in 3D Point Clouds.
IROS, 2023

Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Music-Driven Group Choreography.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Formulating a method to analyse the differential expression of co-occurrence networks for small-sampled microbiome data.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

Learning to Terminate in Object Navigation.
Proceedings of the Asian Conference on Machine Learning, 2023

Prompt-based Zero-shot Text Classification with Conceptual Knowledge.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

2022
Light-Weight Deformable Registration Using Adversarial Learning With Distilling Knowledge.
IEEE Trans. Medical Imaging, 2022

Occlusion-Robust Visual Markerless Bone Tracking for Computer-Assisted Orthopedic Surgery.
IEEE Trans. Instrum. Meas., 2022

Global-local attention for emotion recognition.
Neural Comput. Appl., 2022

Two-Step Online Trajectory Planning of a Quadcopter in Indoor Environments with Obstacles.
CoRR, 2022

Machine Learning-based Framework for Optimally Solving the Analytical Inverse Kinematics for Redundant Manipulators.
CoRR, 2022

CathSim: An Open-source Simulator for Autonomous Cannulation.
CoRR, 2022

Multigraph Topology Design for Cross-Silo Federated Learning.
CoRR, 2022

Fine-Grained Visual Classification using Self Assessment Classifier.
CoRR, 2022

Generalised Zero-shot Learning for Entailment-based Text Classification with External Knowledge.
Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022

Self-supervised Depth Estimation in Laparoscopic Image Using 3D Geometric Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Federated Learning for Autonomous Driving.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Long-Tailed Instance Segmentation Using Gumbel Optimized Loss.
Proceedings of the Computer Vision - ECCV 2022, 2022

Coarse-to-Fine Reasoning for Visual Question Answering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
An MR-Safe Endovascular Robotic Platform: Design, Control, and Ex-Vivo Evaluation.
IEEE Trans. Biomed. Eng., 2021

Attention Gate in Traffic Forecasting.
CoRR, 2021

Semi-Supervised Adversarial Discriminative Domain Adaptation.
CoRR, 2021

Occlusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgery.
CoRR, 2021

Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images.
CoRR, 2021

Self-supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multiple Meta-model Quantifying for Medical Visual Question Answering.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Speech Emotion Recognition Using Semantic Information.
Proceedings of the IEEE International Conference on Acoustics, 2021

Graph-Based Person Signature for Person Re-Identifications.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Autonomous Navigation with Mobile Robots using Deep Learning and the Robot Operating System.
CoRR, 2020

Hybrid Data-Driven and Analytical Model for Kinematic Control of a Surgical Robotic Tool.
CoRR, 2020

Nonlinearity Compensation in A Multi-DoF Shoulder Sensing Exosuit For Real-Time Teleoperation.
Proceedings of the 3rd IEEE International Conference on Soft Robotics, 2020

Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Collaborative Robot-Assisted Endovascular Catheterization with Generative Adversarial Imitation Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Scene Understanding for Autonomous Manipulation with Deep Learning.
PhD thesis, 2019

V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation.
CoRR, 2019

Object Captioning and Retrieval with Natural Language.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Real-Time 6DOF Pose Relocalization for Event Cameras With Stacked Spatial LSTM Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Object Captioning and Retrieval with Natural Language.
CoRR, 2018

Translating Videos to Commands for Robotic Manipulation with Deep Recurrent Neural Networks.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection.
CoRR, 2017

Real-Time Pose Estimation for Event Cameras with Stacked Spatial LSTM Networks.
CoRR, 2017

Object-based affordances detection with Convolutional Neural Networks and dense Conditional Random Fields.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Vision-based foothold contact reasoning using curved surface patches.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

2016
Detecting object affordances with Convolutional Neural Networks.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Preparatory object reorientation for task-oriented grasping.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2014
Contextual Labeling 3D Point Clouds with Conditional Random Fields.
Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

2013
3D point cloud segmentation: A survey.
Proceedings of the IEEE 6th International Conference on Robotics, 2013


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