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Minh Tran
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Hoang Quang Minh Tran (aka: Minh Tran 0001, Tran Hoang Quang Minh) — Ton Duc Thang University, Optoelectronics Research Group, Ho Chi Minh City, Vietnam
- Minh Tran 0002 — Iowa State University, Department of Computer Science, Ames, IA, USA
- Minh Tran 0003 — University of Utah, Department of Mechanical Engineering, Salt Lake City, UT, USA (and 1 more)
- Minh Tran 0004 — University of Southern California, CA, USA
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2020 – today
- 2024
- [j9]Taisei Hanyu, Kashu Yamazaki, Minh Tran, Roy A. McCann, Haitao Liao, Chase Rainwater, Meredith Adkins, Jackson David Cothren, Ngan Le:
AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation. Remote. Sens. 16(16): 2930 (2024) - [c37]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: 9411-9417 - [c36]Minh Tran, Winston Bounsavy, Khoa Vo, Anh Nguyen, Tri Nguyen, Ngan Le:
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation. IJCNN 2024: 1-8 - [c35]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: 1335-1341 - [i19]Minh Tran, Winston Bounsavy, Khoa Vo, Anh Nguyen, Tri Nguyen, Ngan Le:
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation. CoRR abs/2403.11376 (2024) - [i18]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 abs/2405.04489 (2024) - [i17]Khoa Vo, Thinh Phan, Kashu Yamazaki, Minh Tran, Ngan Le:
HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model. CoRR abs/2406.00307 (2024) - [i16]Minh Tran, Khoa Vo, Nguyen Thanh Binh, Ngan Le:
Amodal Instance Segmentation with Diffusion Shape Prior Estimation. CoRR abs/2409.18256 (2024) - 2023
- [j8]Minh Tran, Duc Pham-Hi, Marc Bui:
Optimizing Automated Trading Systems with Deep Reinforcement Learning. Algorithms 16(1): 23 (2023) - [c34]Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi:
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies. BioCAS 2023: 1-5 - [c33]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: 596-601 - [c32]Minh Tran:
Prompt Engineering for Large Language Models to Support K-8 Computer Science Teachers in Creating Culturally Responsive Projects. ICER (2) 2023: 110-112 - [c31]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: 1-6 - [c30]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: 1-6 - [c29]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: 1-5 - [i15]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 abs/2303.04104 (2023) - [i14]Shayan Gharib, Minh Tran, Diep Luong, Konstantinos Drossos, Tuomas Virtanen:
Adversarial Representation Learning for Robust Privacy Preservation in Audio. CoRR abs/2305.00011 (2023) - [i13]Kashu Yamazaki, Taisei Hanyu, Minh Tran, Adrian Garcia, Anh Tran, Roy McCann, Haitao Liao, Chase Rainwater, Meredith Adkins, Andrew Molthan, Jackson David Cothren, Ngan Le:
AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation. CoRR abs/2306.06842 (2023) - [i12]Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi:
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies. CoRR abs/2306.14929 (2023) - [i11]Diep Luong, Minh Tran, Shayan Gharib, Konstantinos Drossos, Tuomas Virtanen:
Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning. CoRR abs/2308.04960 (2023) - [i10]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 abs/2310.03923 (2023) - [i9]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 abs/2310.20057 (2023) - [i8]Minh Tran, Roochi Shah, Zejun Gong:
3FM: Multi-modal Meta-learning for Federated Tasks. CoRR abs/2312.10179 (2023) - 2022
- [j7]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): 45 (2022) - [j6]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): 912-925 (2022) - [c28]Chuong Nguyen, Minh Tran, Neetha Saji, Hung D. Nguyen:
Neural Network Predictive Control of Explorer Class Autonomous Underwater Vehicle. ANZCC 2022: 1-6 - [c27]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: 26-31 - [c26]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: 1-5 - [c25]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: 1824-1830 - [c24]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: 661-675 - [c23]Minh Tran, Duc Pham-Hi, Marc Bui:
Parameter Optimization for Trading Algorithms of Technical Agents. RIVF 2022: 689-694 - [i7]Minh Tran, Loi Ly, Binh-Son Hua, Ngan Le:
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data. CoRR abs/2201.05905 (2022) - [i6]Isaac Kwan Yin Chung, Minh Tran, Eran Nussinovitch:
Scaling Cross-Domain Content-Based Image Retrieval for E-commerce Snap and Search Application. CoRR abs/2204.11593 (2022) - [i5]Pankaj Sharma, Imran Qureshi, Minh Tran:
Meta Learning for Few-Shot Medical Text Classification. CoRR abs/2212.01552 (2022) - 2021
- [c22]Minh Tran, Tri Pham, Tien Nguyen, Tien Do, Thanh Duc Ngo:
A robust framework for mathematical formula detection. MAPR 2021: 1-6 - [c21]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: 64-74 - [c20]Paul A. Morton, Chao Xiang, Jacob B. Khurgin, Christopher Morton, Minh Tran, Jonathan 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: 1-3 - [p1]Xiao Tan, Andrew Su, Hamideh Hajiabadi, Minh Tran, Quan Nguyen:
Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues. Artificial Neural Networks, 3rd Edition 2021: 209-228 - [i4]Tuong Do, Binh X. Nguyen, Erman Tjiputra, Minh Tran, Quang D. Tran, Anh Nguyen:
Multiple Meta-model Quantifying for Medical Visual Question Answering. CoRR abs/2105.08913 (2021) - [i3]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 abs/2110.05754 (2021) - 2020
- [j5]Xiao Tan, Andrew Su, Minh Tran, Quan Nguyen:
SpaCell: integrating tissue morphology and spatial gene expression to predict disease cells. Bioinform. 36(7): 2293-2294 (2020) - [c19]Minh Tran:
How biased are American media outlets? A framework for presentation bias regression. IEEE BigData 2020: 4359-4364 - [c18]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: 164-167 - [c17]Nabil Hossain, Minh Tran, Henry A. Kautz:
A Framework for Political Portmanteau Decomposition. ICWSM 2020: 944-948 - [c16]Minh Tran, Man Ngo, Duc Pham-Hi, Marc Bui:
Bayesian Calibration of Hyperparameters in Agent-Based Stock Market. RIVF 2020: 1-6 - [i2]Lam Dang Pham, Ian McLoughlin, Huy Phan, Minh Tran, Truc Nguyen, Ramaswamy Palaniappan:
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases. CoRR abs/2002.03894 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1906.12175 (2019) - 2018
- [j4]Minh Tran, Alison Whale, Sonal Padalkar:
Exploring the Efficacy of Platinum and Palladium Nanostructures for Organic Molecule Detection via Raman Spectroscopy. Sensors 18(1): 147 (2018) - [j3]Minh Tran, Ahmad Fallatah, Alison Whale, Sonal Padalkar:
Utilization of Inexpensive Carbon-Based Substrates as Platforms for Sensing. Sensors 18(8): 2444 (2018) - [c15]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: 357-364 - [c14]Viet-Duy Nguyen, Minh Tran, Jiebo Luo:
Are French Really That Different? Recognizing Europeans from Faces Using Data-Driven Learning. ICPR 2018: 2729-2734 - [c13]Viet-Duy Nguyen, Minh Tran, Jiebo Luo:
Exploring Facial Differences in European Countries Boundary by Fine-Tuned Neural Networks. MIPR 2018: 268-271 - 2017
- [c12]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: 354-359 - [c11]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: 72-82 - 2015
- [c10]Thanh Duong, Quyen Ho, An Tran, Minh Tran:
Optimal Discrete Hedging in Garman-Kohlhagen Model with Liquidity Risk. MCO (2) 2015: 377-388 - 2013
- [j2]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: 140 (2013) - 2012
- [c9]Minh Tran, Xinshu Dong, Zhenkai Liang, Xuxian Jiang:
Tracking the Trackers: Fast and Scalable Dynamic Analysis of Web Content for Privacy Violations. ACNS 2012: 418-435 - [c8]Toan-Thinh Truong, Minh Tran, Anh Duc Duong:
Robust Mobile Device Integration of a Fingerprint Biometric Remote Authentication Scheme. AINA 2012: 678-685 - 2011
- [c7]Xinshu Dong, Minh Tran, Zhenkai Liang, Xuxian Jiang:
AdSentry: comprehensive and flexible confinement of JavaScript-based advertisements. ACSAC 2011: 297-306 - [c6]Minh Tran, Mark Etheridge, Tyler K. Bletsch, Xuxian Jiang, Vincent W. Freeh, Peng Ning:
On the Expressiveness of Return-into-libc Attacks. RAID 2011: 121-141
2000 – 2009
- 2007
- [c5]Minh Tran, Amitava Datta:
Variable Neighbourhood Texture Synthesis with Patch Initialisation. ICCSA (2) 2007: 627-638 - [c4]Wensheng Zhang, Minh Tran, Sencun Zhu, Guohong Cao:
A random perturbation-based scheme for pairwise key establishment in sensor networks. MobiHoc 2007: 90-99 - [c3]Minh Tran, Amitava Datta:
Jigsaw Texture Synthesis. Smart Graphics 2007: 210-215 - 2005
- [j1]Minh Tran, Amitava Datta, Nick Lowe:
A simple model generation system for computer graphics. Future Gener. Comput. Syst. 21(7): 1223-1234 (2005) - 2003
- [c2]Minh Tran, Amitava Datta:
Synthesising Textures Using Variable Neighbourhood Searching. DICTA 2003: 643-652 - [c1]Minh Tran, Amitava Datta, Nick Lowe:
A Low-Cost Model Acquisition System for Computer Graphics Applications. International Conference on Computational Science 2003: 1054-1063
Coauthor Index
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last updated on 2024-11-11 21:29 CET by the dblp team
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