Minh Tran

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 67

Top Topics

Autonomous Underwater Vehicle

Top Venues

Publications

Khoa Vo, Thinh Phan, Kashu Yamazaki, Minh Tran, Ngan Le
HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model. CoRR (2024)
Kashu Yamazaki, Taisei Hanyu, Khoa Vo, Thang Pham, Minh Tran, Gianfranco Doretto, Anh Nguyen, Ngan Le
Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation. ICRA (2024)
Minh Tran, Winston Bounsavy, Khoa Vo, Anh Nguyen, Tri Nguyen, Ngan Le
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation. CoRR (2024)
Minh Tran, Heather Killen, Jen Palmer, David Weintrop, Diana Franklin
Harmonizing Scratch Encore: Scaffolding K-8 Teachers in Customizing Culturally Responsive Computing Materials. SIGCSE (1) (2024)
Minh Tran, Adrian de Luis, Haitao Liao, Ying Huang, Roy McCann, Alan Mantooth, Jackson David Cothren, Ngan Le
S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling. CoRR (2024)
Hugo Bohy, Minh Tran, Kevin El Haddad, Thierry Dutoit, Mohammad Soleymani
Social-MAE: A Transformer-Based Multimodal Autoencoder for Face and Voice. FG (2024)
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies. CoRR (2023)
David Hästbacka, Minh Tran, Petri Kannisto, Mikael Filppula, Pál Varga
External Token-Based Authorization of Data-Driven Integrations and Service Compositions in MQTT 5. IECON (2023)
Shayan Gharib, Minh Tran, Diep Luong, Konstantinos Drossos, Tuomas Virtanen
Adversarial Representation Learning for Robust Privacy Preservation in Audio. CoRR (2023)
Minh Tran, Duc Pham-Hi, Marc Bui
Optimizing Automated Trading Systems with Deep Reinforcement Learning. Algorithms 16 (1) (2023)
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies. CoRR (2023)
Diep Luong, Minh Tran, Shayan Gharib, Konstantinos Drossos, Tuomas Virtanen
Representation Learning for Audio Privacy Preservation Using Source Separation and Robust Adversarial Learning. WASPAA (2023)
Aleksandar Pasquini, Rajesh Vasa, Hassan Habibi Gharakheili, Irini Logothetis, Minh Tran, Alexander Chambers
Exploring the Reliability of IoT Packet Classifiers: An Experimental Study. GLOBECOM (Workshops) (2023)
Minh Tran, Roochi Shah, Zejun Gong
3FM: Multi-modal Meta-learning for Federated Tasks. CoRR (2023)
Yufeng Yin, Minh Tran, Di Chang, Xinrui Wang, Mohammad Soleymani
Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild. CoRR (2023)
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies. BioCAS (2023)
Diep Luong, Minh Tran, Shayan Gharib, Konstantinos Drossos, Tuomas Virtanen
Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning. CoRR (2023)
Di Chang, Yufeng Yin, Zongjian Li, Minh Tran, Mohammad Soleymani
LibreFace: An Open-Source Toolkit for Deep Facial Expression Analysis. CoRR (2023)
Adrian de Luis, Minh Tran, Taisei Hanyu, Anh Tran, Haitao Liao, Roy McCann, Alan Mantooth, Ying Huang, Ngan Le
SolarFormer: Multi-scale Transformer for Solar PV Profiling. CoRR (2023)
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies. MMSP (2023)
Kashu Yamazaki, Taisei Hanyu, Khoa Vo, Thang Pham, Minh Tran, Gianfranco Doretto, Anh Nguyen, Ngan Le
Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation. CoRR (2023)
Kashu Yamazaki, Taisei Hanyu, Minh Tran, Adrian Garcia, Anh Tran, Roy McCann, Haitao Liao, Chase Rainwater, Meredith Adkins, Andrew Molthan, Jackson D. Cothren, Ngan Le
AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation. CoRR (2023)
Chuong Nguyen, Minh Tran, Neetha Saji, Hung D. Nguyen
Neural Network Predictive Control of Explorer Class Autonomous Underwater Vehicle. ANZCC (2022)
Pankaj Sharma, Imran Qureshi, Minh Tran
Meta Learning for Few-Shot Medical Text Classification. CoRR (2022)
Minh Tran, Khoa Vo, Kashu Yamazaki, Arthur Fernandes, Michael Kidd, Ngan Le
AISFormer: Amodal Instance Segmentation with Transformer. CoRR (2022)
Isaac Kwan Yin Chung, Minh Tran, Eran Nussinovitch
Scaling Cross-Domain Content-Based Image Retrieval for E-commerce Snap and Search Application. CoRR (2022)
Minh Tran, Duc Pham-Hi, Marc Bui
Parameter Optimization for Trading Algorithms of Technical Agents. RIVF (2022)
Nhat Pham, Hong Jia, Minh Tran, Tuan Dinh, Nam Bui, Young Kwon, Dong Ma, Phuc Nguyen, Cecilia Mascolo, Tam Vu
PROS: an efficient pattern-driven compressive sensing framework for low-power biopotential-based wearables with on-chip intelligence. MobiCom (2022)
Minh Tran
Prompt Engineering for Large Language Models to Support K-8 Computer Science Teachers in Creating Culturally Responsive Projects. ICER (2) (2022)
Minh Tran, Viet-Khoa Vo-Ho, Ngan T. H. Le
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation. ICPR (2022)
Minh Tran, Viet-Khoa Vo-Ho, Kyle Quinn, Hien Nguyen, Khoa Luu, Ngan Le
CapsNet for Medical Image Segmentation. CoRR (2022)
Minh Tran, Taylan K. Sen, Kurtis Haut, Mohammad Rafayet Ali, Ehsan Hoque
Are You Really Looking at Me? A Feature-Extraction Framework for Estimating Interpersonal Eye Gaze From Conventional Video. IEEE Trans. Affect. Comput. 13 (2) (2022)
Minh Tran, Loi Ly, Binh-Son Hua, Ngan Le
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data. CoRR (2022)
Minh Tran, Cuong Dinh Tran, Bach Hoang Dinh, Tai Thanh Phan, Trang Huynh-Cong Nguyen, Huy Truong Nguyen, Giang Thi-Tuyet Lai, Huy Xuan Phan
Speed Control Applying Hysteresis Current Combining Sine Pulse Width Modulation for Induction Motor Drive. J. Adv. Eng. Comput. 6 (1) (2022)
Minh Tran, Mohammad Soleymani
A Pre-trained Audio-Visual Transformer for Emotion Recognition. CoRR (2022)
Minh Tran, Loi Ly, Binh-Son Hua, Ngan Le
SS-3DCAPSNET: Self-Supervised 3d Capsule Networks for Medical Segmentation on Less Labeled Data. ISBI (2022)
Minh Tran, Viet-Khoa Vo-Ho, Ngan T. H. Le
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation. CoRR (2022)
Trung-Tin Nguyen, Phuc Nguyen, Chuong Nguyen, Minh Tran
Examination of sampling-based path planning for indoor UAV using voxel grid-based Visual SLAM. ICRAI (2022)
Anh Nguyen, Tuong Do, Minh Tran, Binh X. Nguyen, Chien Duong, Tu Phan, Erman Tjiputra, Quang D. Tran
Deep Federated Learning for Autonomous Driving. IV (2022)
Minh Tran, Mohammad Soleymani
A Pre-Trained Audio-Visual Transformer for Emotion Recognition. ICASSP (2022)
Minh Tran, Mohammad Soleymani
Towards Privacy-Preserving Speech Representation for Client-Side Data Sharing. CoRR (2022)
Anh Nguyen, Tuong Do, Minh Tran, Binh X. Nguyen, Chien Duong, Tu Phan, Erman Tjiputra, Quang D. Tran
Deep Federated Learning for Autonomous Driving. CoRR (2021)
Paul A. Morton, Chao Xiang, Jacob B. Khurgin, Christopher Morton, Minh Tran, Jon Peters, Joel Guo, Michael Morton, John E. Bowers
Integrated Coherent Tunable Laser (ICTL) with 118 nm Tuning Range and sub-100 Hz Lorentzian Linewidth. OFC (2021)
Minh Tran, Ellen Bradley, Michelle Matvey, Joshua Woolley, Mohammad Soleymani
Modeling Dynamics of Facial Behavior for Mental Health Assessment. FG (2021)
Minh Tran, Ellen Bradley, Michelle Matvey, Joshua Woolley, Mohammad Soleymani
Modeling Dynamics of Facial Behavior for Mental Health Assessment. CoRR (2021)
Minh Tran, Tri Pham, Tien Nguyen, Tien Do, Thanh Duc Ngo
A robust framework for mathematical formula detection. MAPR (2021)
Tuong Do, Binh X. Nguyen, Erman Tjiputra, Minh Tran, Quang D. Tran, Anh Nguyen
Multiple Meta-model Quantifying for Medical Visual Question Answering. CoRR (2021)
Dimosthenis Kontogiorgos, Minh Tran, Joakim Gustafson, Mohammad Soleymani
A Systematic Cross-Corpus Analysis of Human Reactions to Robot Conversational Failures. ICMI (2021)
Tuong Do, Binh X. Nguyen, Erman Tjiputra, Minh Tran, Quang D. Tran, Anh Nguyen
Multiple Meta-model Quantifying for Medical Visual Question Answering. MICCAI (5) (2021)
Minh Tran, Yipeng Zhang, Mohammad Soleymani
Towards A Friendly Online Community: An Unsupervised Style Transfer Framework for Profanity Redaction. CoRR (2020)
Xiao Tan, Andrew Su, Minh Tran, Quan Nguyen
SpaCell: integrating tissue morphology and spatial gene expression to predict disease cells. Bioinform. 36 (7) (2020)
Lam Dang Pham, Ian McLoughlin, Huy Phan, Minh Tran, Truc Nguyen, Ramaswamy Palaniappan
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases. EMBC (2020)
Nabil Hossain, Minh Tran, Henry A. Kautz
A Framework for Political Portmanteau Decomposition. ICWSM (2020)
Lam Dang Pham, Ian McLoughlin, Huy Phan, Minh Tran, Truc Nguyen, Ramaswamy Palaniappan
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases. CoRR (2020)
Minh Tran, Yipeng Zhang, Mohammad Soleymani
Towards A Friendly Online Community: An Unsupervised Style Transfer Framework for Profanity Redaction. COLING (2020)
Minh Tran
How biased are American media outlets? A framework for presentation bias regression. IEEE BigData (2020)
Tran Manh Hoang, Ba Cao Nguyen, Nguyen Nhu Thang, Minh Tran, Phuong T. Tran
Performance and optimal analysis of time-switching energy harvesting protocol for MIMO full-duplex decode-and-forward wireless relay networks with various transmitter and receiver diversity techniques. J. Frankl. Inst. 357 (17) (2020)
Minh Tran, Man Ngo, Duc Pham-Hi, Marc Bui
Bayesian Calibration of Hyperparameters in Agent-Based Stock Market. RIVF (2020)
Minh Tran, Taylan K. Sen, Kurtis Haut, Mohammad Rafayet Ali, Mohammed (Ehsan) Hoque
Are you really looking at me? A Framework for Extracting Interpersonal Eye Gaze from Conventional Video. CoRR (2019)
Viet-Duy Nguyen, Minh Tran, Jiebo Luo
Are French Really That Different? Recognizing Europeans from Faces Using Data-Driven Learning. ICPR (2018)
Viet-Duy Nguyen, Minh Tran, Jiebo Luo
Exploring Facial Differences in European Countries Boundary by Fine-Tuned Neural Networks. MIPR (2018)
Minh Tran, Ahmad Fallatah, Alison Whale, Sonal Padalkar
Utilization of Inexpensive Carbon-Based Substrates as Platforms for Sensing. Sensors 18 (8) (2018)
Minh Tran, Alison Whale, Sonal Padalkar
Exploring the Efficacy of Platinum and Palladium Nanostructures for Organic Molecule Detection via Raman Spectroscopy. Sensors 18 (1) (2018)
Taylan K. Sen, Md. Kamrul Hasan, Minh Tran, Yiming Yang, Mohammed (Ehsan) Hoque
Say CHEESE: Common Human Emotional Expression Set Encoder and Its Application to Analyze Deceptive Communication. FG (2018)
Minh Tran, Jonathan Binns, Shuhong Chai, Alex Forrest, Hung Nguyen
Optimal control of an autonomous underwater vehicle equipped with the collective and cyclic pitch propeller. ASCC (2017)
Minh Tran, Jonathan Binns, Shuhong Chai, Alex Forrest, Hung Nguyen
AUVSIPRO - A Simulation Program for Performance Prediction of Autonomous Underwater Vehicle with Different Propulsion System Configurations. MESAS (2017)
Thanh Duong, Quyen Ho, An Tran, Minh Tran
Optimal Discrete Hedging in Garman-Kohlhagen Model with Liquidity Risk. MCO (2) (2015)
Minh Tran, Jin Wang, Iickho Song, Yun Kim
Channel estimation and optimal training with the LMMSE criterion for OFDM-based two-way relay networks. EURASIP J. Wirel. Commun. Netw. 2013 (2013)
Minh Tran, Xinshu Dong, Zhenkai Liang, Xuxian Jiang
Tracking the Trackers: Fast and Scalable Dynamic Analysis of Web Content for Privacy Violations. ACNS (2012)
Toan-Thinh Truong, Minh Tran, Anh Duc Duong
Robust Mobile Device Integration of a Fingerprint Biometric Remote Authentication Scheme. AINA (2012)
Xinshu Dong, Minh Tran, Zhenkai Liang, Xuxian Jiang
AdSentry: comprehensive and flexible confinement of JavaScript-based advertisements. ACSAC (2011)
Minh Tran, Mark Etheridge, Tyler K. Bletsch, Xuxian Jiang, Vincent W. Freeh, Peng Ning
On the Expressiveness of Return-into-libc Attacks. RAID (2011)
Minh Tran, Amitava Datta
Jigsaw Texture Synthesis. Smart Graphics (2007)
Wensheng Zhang, Minh Tran, Sencun Zhu, Guohong Cao
A random perturbation-based scheme for pairwise key establishment in sensor networks. MobiHoc (2007)
Minh Tran, Amitava Datta
Variable Neighbourhood Texture Synthesis with Patch Initialisation. ICCSA (2) (2007)
Minh Tran, Amitava Datta, Nick Lowe
A simple model generation system for computer graphics. Future Gener. Comput. Syst. 21 (7) (2005)
Minh Tran, Amitava Datta, Nick Lowe
A Low-Cost Model Acquisition System for Computer Graphics Applications. International Conference on Computational Science (2003)
Minh Tran, Amitava Datta
Synthesising Textures Using Variable Neighbourhood Searching. DICTA (2003)