T. Hoang Ngan Le

Orcid: 0000-0003-2571-0511

Affiliations:
  • Carnegie Mellon University, CyLab Biometrics Center, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA


According to our database1, T. Hoang Ngan Le authored at least 131 papers between 2008 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation.
Remote. Sens., August, 2024

Multi-camera multi-object tracking on the move via single-stage global association approach.
Pattern Recognit., 2024

Amodal Instance Segmentation with Diffusion Shape Prior Estimation.
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

Multimodal Learning and Cognitive Processes in Radiology: MedGaze for Chest X-ray Scanpath Prediction.
CoRR, 2024

Enhancing Radiological Diagnosis: A Collaborative Approach Integrating AI and Human Expertise for Visual Miss Correction.
CoRR, 2024

CattleFace-RGBT: RGB-T Cattle Facial Landmark Benchmark.
CoRR, 2024

HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model.
CoRR, 2024

Accelerating Transformers with Spectrum-Preserving Token Merging.
CoRR, 2024

BubbleID: A Deep Learning Framework for Bubble Interface Dynamics Analysis.
CoRR, 2024

S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling.
CoRR, 2024

CarcassFormer: An End-to-end Transformer-based Framework for Simultaneous Localization, Segmentation and Classification of Poultry Carcass Defect.
CoRR, 2024

ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Z-GMOT: Zero-shot Generic Multiple Object Tracking.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 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

SAM3D: Segment Anything Model in Volumetric Medical Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

TSRNET: Simple Framework for Real-Time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Unifying Global and Local Scene Entities Modelling for Precise Action Spotting.
Proceedings of the International Joint Conference on Neural Networks, 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

Self-Supervised Learning via Multi-Transformation Classification for Action Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 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

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

PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification.
Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

2023
LIAAD: Lightweight attentive angular distillation for large-scale age-invariant face recognition.
Neurocomputing, July, 2023

sCL-ST: Supervised Contrastive Learning With Semantic Transformations for Multiple Lead ECG Arrhythmia Classification.
IEEE J. Biomed. Health Informatics, June, 2023

AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation.
Int. J. Comput. Vis., 2023

HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos.
CoRR, 2023

PGS: Pose-Guided Supervision for Mitigating Clothes-Changing in Person Re-Identification.
CoRR, 2023

SolarFormer: Multi-scale Transformer for Solar PV Profiling.
CoRR, 2023

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

SAM3D: Segment Anything Model in Volumetric Medical Images.
CoRR, 2023

AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation.
CoRR, 2023

EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

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

CLIP-TSA: Clip-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

DNA: Deformable Neural Articulations Network for Template-free Dynamic 3D Human Reconstruction from Monocular RGB-D Video.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Non-volume preserving-based fusion to group-level emotion recognition on crowd videos.
Pattern Recognit., 2022

Efficient algorithms for mining closed and maximal high utility itemsets.
Knowl. Based Syst., 2022

DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading.
CoRR, 2022

VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning.
CoRR, 2022

Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition.
CoRR, 2022

Meta-Learning of NAS for Few-shot Learning in Medical Image Applications.
CoRR, 2022

CapsNet for Medical Image Segmentation.
CoRR, 2022

Deep reinforcement learning in computer vision: a comprehensive survey.
Artif. Intell. Rev., 2022

DAM-AL: dilated attention mechanism with attention loss for 3D infant brain image segmentation.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

SS-3DCAPSNET: Self-Supervised 3d Capsule Networks for Medical Segmentation on Less Labeled Data.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

(2+1)D Distilled ShuffleNet: A Lightweight Unsupervised Distillation Network for Human Action Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

VLCAP: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Self-Supervised Domain Adaptation in Crowd Counting.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

AISFormer: Amodal Instance Segmentation with Transformer.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

Contextual Explainable Video Representation: Human Perception-based Understanding.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Deep reinforcement learning in medical imaging: A literature review.
Medical Image Anal., 2021

Fast Flow Reconstruction via Robust Invertible n × n Convolution.
Future Internet, 2021

Invertible Residual Network with Regularization for Effective Medical Image Segmentation.
CoRR, 2021

Teaching Yourself: A Self-Knowledge Distillation Approach to Action Recognition.
IEEE Access, 2021

ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation.
IEEE Access, 2021

Invertible residual network with regularization for effective volumetric segmentation.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

PairFlow: Enhancing Portable Chest X-Ray By Flow-Based Deformation For Covid-19 Diagnosing.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

The Right to Talk: An Audio-Visual Transformer Approach.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Agent-Environment Network for Temporal Action Proposal Generation.
Proceedings of the IEEE International Conference on Acoustics, 2021

AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Roughness Index and Roughness Distance for Benchmarking Medical Segmentation.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Flow-Based Deformation Guidance for Unpaired Multi-contrast MRI Image-to-Image Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Offset Curves Loss for Imbalanced Problem in Medical Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Domain Generalization via Universal Non-volume Preserving Approach.
Proceedings of the 17th Conference on Computer and Robot Vision, 2020

2019
Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning.
Int. J. Comput. Vis., 2019

Image Alignment in Unseen Domains via Domain Deep Generalization.
CoRR, 2019

ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks.
CoRR, 2019

Generative Flow via Invertible nxn Convolution.
CoRR, 2019

Automatic Face Aging in Videos via Deep Reinforcement Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices.
Proceedings of the 10th IEEE International Conference on Biometrics Theory, 2019

2018
Contextual Recurrent Level Set Networks and Recurrent Residual Networks for Semantic Labeling.
PhD thesis, 2018

Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation.
IEEE Trans. Image Process., 2018

Deep contextual recurrent residual networks for scene labeling.
Pattern Recognit., 2018

Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos.
CoRR, 2018

MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices.
CoRR, 2018

Deep Recurrent Level Set for Segmenting Brain Tumors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
DeepSafeDrive: A grammar-aware driver parsing approach to Driver Behavioral Situational Awareness (DB-SAW).
Pattern Recognit., 2017

Semi self-training beard/moustache detection and segmentation simultaneously.
Image Vis. Comput., 2017

Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning.
CoRR, 2017

Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation.
CoRR, 2017

Deep Contextual Recurrent Residual Networks for Scene Labeling.
CoRR, 2017

An automatic cells detection and segmentation.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Robust Hand Detection and Classification in Vehicles and in the Wild.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
A novel Shape Constrained Feature-based Active Contour model for lips/mouth segmentation in the wild.
Pattern Recognit., 2016

Robust hand detection in Vehicles.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Weakly Supervised Facial Analysis with Dense Hyper-Column Features.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Multiple Scale Faster-RCNN Approach to Driver's Cell-Phone Usage and Hands on Steering Wheel Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Towards a deep learning framework for unconstrained face detection.
Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

2015
Facial aging and asymmetry decomposition based approaches to identification of twins.
Pattern Recognit., 2015

A robust contour sampling and tensor-based approach to facial beard and mustache shape segmentation and matching.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Hierarchical segmentation and tracking of coronary arteries in 2D X-ray Angiography sequences.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Fast and robust self-training beard/moustache detection and segmentation.
Proceedings of the International Conference on Biometrics, 2015

2014
A novel eyebrow segmentation and eyebrow shape-based identification.
Proceedings of the IEEE International Joint Conference on Biometrics, Clearwater, 2014

An Effective Initialization for ASM-Based Methods.
Proceedings of the Computer Information Systems and Industrial Management, 2014

2013
SparCLeS: Dynamic 퓁 <sub>1</sub> Sparse Classifiers With Level Sets for Robust Beard/Moustache Detection and Segmentation.
IEEE Trans. Image Process., 2013

2012
A new adaptive framework for tubular structures segmentation in X-ray angiography.
Proceedings of the 11th International Conference on Information Science, 2012

Facecut - a robust approach for facial feature segmentation.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Beard and mustache segmentation using sparse classifiers on self-quotient images.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

A novel energy based filter for cross-blink eye detection.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

A facial aging approach to identification of identical twins.
Proceedings of the IEEE Fifth International Conference on Biometrics: Theory, 2012

2011
A high quality and small shadow size visual secret sharing scheme based on hybrid strategy for grayscale images.
Digit. Signal Process., 2011

Ternary Entropy-Based Binarization of Degraded Document Images Using Morphological Operators.
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

2010
High payload steganography mechanism using hybrid edge detector.
Expert Syst. Appl., 2010

Hybrid wet paper coding mechanism for steganography employing n-indicator and fuzzy edge detector.
Digit. Signal Process., 2010

A robust biometric watermark-based authentication scheme.
Proceedings of the Fifth IEEE International Conference on Digital Information Management, 2010

2009
Self-verifying visual secret sharing using error diffusion and interpolation techniques.
IEEE Trans. Inf. Forensics Secur., 2009

Sharing a verifiable secret image using two shadows.
Pattern Recognit., 2009

Hybrid (2, n) Visual Secret Sharing Scheme for Color Images.
Proceedings of the 2009 IEEE International Conference on Computing and Communication Technologies, 2009

2008
A Probabilistic Visual Secret Sharing Scheme for Grayscale Images with Voting Strategy.
Proceedings of The International Symposium on Electronic Commerce and Security, 2008

A New Probabilistic Visual Secret Sharing Scheme for Color Images.
Proceedings of the 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2008), 2008


  Loading...