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T. Hoang Ngan Le

Ngan Le – Ngan T. H. Le – Thi Hoang Ngan Le

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affiliation: University of Arkansas, Fayetteville, AR, USA
affiliation (PhD 2018): Carnegie Mellon University, CyLab Biometrics Center, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA

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Books and Theses

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2018
[b1]
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T. Hoang Ngan Le:
Contextual Recurrent Level Set Networks and Recurrent Residual Networks for Semantic Labeling. Carnegie Mellon University, USA, 2018

Journal Articles

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2025
[j30]
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Trong-Thang Pham, Jacob Brecheisen, Carol C. Wu, Hien Van Nguyen, Zhigang Deng, Donald A. Adjeroh, Gianfranco Doretto, Arabinda Choudhary, Ngan Le:
ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists' intentions. Artif. Intell. Medicine 160: 103054 (2025)
[j29]
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Quang-Hung Le, Brijesh Patel, Donald A. Adjeroh, Gianfranco Doretto, Ngan Le:
SSL-SurvFormer: A Self-Supervised Learning and Continuously Monotonic Transformer Network for Missing Values in Survival Analysis. Informatics 12(1): 32 (2025)
[j28]
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Minh Tran, Thang Pham, Winston Bounsavy, Tri Nguyen, Ngan Le:
A2VIS: Amodal-Aware Approach to Video Instance Segmentation. Image Vis. Comput. 159: 105543 (2025)
[j27]
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Minh Q. Tran, Adrian de Luis, Haitao Liao, Ying Huang, Roy McCann, H. Alan Mantooth, Jackson David Cothren, Ngan Le:
S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling. IEEE Trans. Smart Grid 16(3): 2611-2623 (2025)
2024
[j26]
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Pha A. Nguyen, Kha Gia Quach, Chi Nhan Duong, Son Lam Phung, Ngan Le, Khoa Luu:
Multi-camera multi-object tracking on the move via single-stage global association approach. Pattern Recognit. 152: 110457 (2024)
[j25]
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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)
[j24]
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Naga Venkata Sai Raviteja Chappa, Pha A. Nguyen, Thi Hoang Ngan Le, Page Daniel Dobbs, Khoa Luu:
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos. Sensors 24(11): 3372 (2024)
2023
[j23]
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Viet-Khoa Vo-Ho, Sang Truong, Kashu Yamazaki, Bhiksha Raj, Minh-Triet Tran, Ngan Le:
AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation. Int. J. Comput. Vis. 131(1): 302-323 (2023)
[j22]
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Thanh-Dat Truong, Chi Nhan Duong, Kha Gia Quach, Ngan Le, Tien D. Bui, Khoa Luu:
LIAAD: Lightweight attentive angular distillation for large-scale age-invariant face recognition. Neurocomputing 543: 126198 (2023)
[j21]
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Duc Le, Sang Truong, Brijesh Patel, Donald A. Adjeroh, Ngan Le:
sCL-ST: Supervised Contrastive Learning With Semantic Transformations for Multiple Lead ECG Arrhythmia Classification. IEEE J. Biomed. Health Informatics 27(6): 2818-2828 (2023)
2022
[j20]
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Ngan Le, Vidhiwar Singh Rathour, Kashu Yamazaki, Khoa Luu, Marios Savvides:
Deep reinforcement learning in computer vision: a comprehensive survey. Artif. Intell. Rev. 55(4): 2733-2819 (2022)
[j19]
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Hai V. Duong, Ngan T. H. Le, Thong Tran, Tin C. Truong, Bac Le, Philippe Fournier-Viger:
Efficient algorithms for mining closed and maximal high utility itemsets. Knowl. Based Syst. 257: 109921 (2022)
[j18]
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Kha Gia Quach, Ngan Le, Chi Nhan Duong, Ibsa Jalata, Kaushik Roy, Khoa Luu:
Non-volume preserving-based fusion to group-level emotion recognition on crowd videos. Pattern Recognit. 128: 108646 (2022)
2021
[j17]
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Duc-Quang Vu, Ngan Le, Jia-Ching Wang:
Teaching Yourself: A Self-Knowledge Distillation Approach to Action Recognition. IEEE Access 9: 105711-105723 (2021)
[j16]
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Khoa Vo, Kashu Yamazaki, Sang Truong, Minh-Triet Tran, Akihiro Sugimoto, Ngan Le:
ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation. IEEE Access 9: 126431-126445 (2021)
[j15]
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Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Ngan Le, Khoa Luu:
Fast Flow Reconstruction via Robust Invertible n × n Convolution. Future Internet 13(7): 179 (2021)
[j14]
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S. Kevin Zhou, T. Hoang Ngan Le, Khoa Luu, Hien Van Nguyen, Nicholas Ayache:
Deep reinforcement learning in medical imaging: A literature review. Medical Image Anal. 73: 102193 (2021)
2019
[j13]
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Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides, Tien D. Bui:
Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning. Int. J. Comput. Vis. 127(6-7): 957-971 (2019)
2018
[j12]
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T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Kha Gia Quach, Marios Savvides:
Deep contextual recurrent residual networks for scene labeling. Pattern Recognit. 80: 32-41 (2018)
[j11]
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T. Hoang Ngan Le, Kha Gia Quach, Khoa Luu, Chi Nhan Duong, Marios Savvides:
Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation. IEEE Trans. Image Process. 27(5): 2393-2407 (2018)
2017
[j10]
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T. Hoang Ngan Le, Khoa Luu, Chenchen Zhu, Marios Savvides:
Semi self-training beard/moustache detection and segmentation simultaneously. Image Vis. Comput. 58: 214-223 (2017)
[j9]
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T. Hoang Ngan Le, Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides:
DeepSafeDrive: A grammar-aware driver parsing approach to Driver Behavioral Situational Awareness (DB-SAW). Pattern Recognit. 66: 229-238 (2017)
2016
[j8]
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T. Hoang Ngan Le, Marios Savvides:
A novel Shape Constrained Feature-based Active Contour model for lips/mouth segmentation in the wild. Pattern Recognit. 54: 23-33 (2016)
2015
[j7]
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T. Hoang Ngan Le, Keshav Seshadri, Khoa Luu, Marios Savvides:
Facial aging and asymmetry decomposition based approaches to identification of twins. Pattern Recognit. 48(12): 3843-3856 (2015)
2013
[j6]
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T. Hoang Ngan Le, Khoa Luu, Marios Savvides:
SparCLeS: Dynamic 퓁 ₁ Sparse Classifiers With Level Sets for Robust Beard/Moustache Detection and Segmentation. IEEE Trans. Image Process. 22(8): 3097-3107 (2013)
2011
[j5]
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T. Hoang Ngan Le, Chia-Chen Lin, Chin-Chen Chang, Hoai Bac Le:
A high quality and small shadow size visual secret sharing scheme based on hybrid strategy for grayscale images. Digit. Signal Process. 21(6): 734-745 (2011)
2010
[j4]
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Chin-Chen Chang, Jung-San Lee, T. Hoang Ngan Le:
Hybrid wet paper coding mechanism for steganography employing n-indicator and fuzzy edge detector. Digit. Signal Process. 20(4): 1286-1307 (2010)
[j3]
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Wen-Jan Chen, Chin-Chen Chang, T. Hoang Ngan Le:
High payload steganography mechanism using hybrid edge detector. Expert Syst. Appl. 37(4): 3292-3301 (2010)
2009
[j2]
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Chin-Chen Chang, Chia-Chen Lin, T. Hoang Ngan Le, Hoai Bac Le:
Sharing a verifiable secret image using two shadows. Pattern Recognit. 42(11): 3097-3114 (2009)
[j1]
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Chin-Chen Chang, Chia-Chen Lin, T. Hoang Ngan Le, Hoai Bac Le:
Self-verifying visual secret sharing using error diffusion and interpolation techniques. IEEE Trans. Inf. Forensics Secur. 4(4): 790-801 (2009)

Conference and Workshop Papers

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2025
[c84]
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Trong-Thang Pham, Tien-Phat Nguyen, Yuki Ikebe, Akash Awasthi, Zhigang Deng, Carol C. Wu, Hien Nguyen, Ngan Le:
GazeSearch: Radiology Findings Search Benchmark. WACV 2025: 96-106
2024
[c83]
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Trong-Thang Pham, Ngoc-Vuong Ho, Nhat-Tan Bui, Thinh Phan, Patel Brijesh Patel, Donald A. Adjeroh, Gianfranco Doretto, Anh Nguyen, Carol C. Wu, Hien Nguyen, Ngan Le:
FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation. ACCV (6) 2024: 71-88
[c82]
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Ngoc-Vuong Ho, Thinh Phan, Meredith Adkins, Chase Rainwater, Jackson David Cothren, Ngan Le:
RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection. ACCV Workshops (1) 2024: 223-236
[c81]
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Minh Tran, Khoa Vo, Tri Nguyen, Ngan Le:
Amodal Instance Segmentation with Diffusion Shape Prior Estimation. ACCV (10) 2024: 309-324
[c80]
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Tudor Jianu, Baoru Huang, Hoan Nguyen, Binod Bhattarai, Tuong Do, Erman Tjiputra, Quang D. Tran, Pierre Berthet-Rayne, Ngan Le, Sebastiano Fichera, Anh Nguyen:
Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction. ACCV (5) 2024: 366-382
[c79]
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Quoc-Huy Trinh, Nhat-Tan Bui, Dinh-Hieu Hoang, Phuoc-Thao Vo Thi, Hai-Dang Nguyen, Debesh Jha, Ulas Bagci, Ngan Le, Minh-Triet Tran:
PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification. AVSS 2024: 1-8
[c78]
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Trong-Thang Pham, Tuong Do, Nhat Le, Ngan Le, Hung Nguyen, Erman Tjiputra, Quang Tran, Anh Nguyen:
Style Transfer for 2D Talking Head Generation. CVPR Workshops 2024: 7500-7509
[c77]
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Toan Nguyen, Minh Nhat Vu, Baoru Huang, An Vuong, Quan Vuong, Ngan Le, Thieu Vo, Anh Nguyen:
Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance. ECCV (19) 2024: 363-381
[c76]
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Huy Le, Tung Kieu, Anh Nguyen, Ngan Le:
WAVER: Writing-Style Agnostic Text-Video Retrieval Via Distilling Vision-Language Models Through Open-Vocabulary Knowledge. ICASSP 2024: 3025-3029
[c75]
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Duc-Quang Vu, Ngan Le, Jia-Ching Wang:
Self-Supervised Learning via Multi-Transformation Classification for Action Recognition. ICME Workshops 2024: 1-6
[c74]
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Toan Nguyen, Minh Nhat Vu, Baoru Huang, Tuan Van Vo, Vy Truong, Ngan Le, Thieu Vo, Bac Le, Anh Nguyen:
Language-Conditioned Affordance-Pose Detection in 3D Point Clouds. ICRA 2024: 3071-3078
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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
[c72]
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Tuan Van Vo, Minh Nhat Vu, Baoru Huang, Toan Nguyen, Ngan Le, Thieu Vo, Anh Nguyen:
Open-Vocabulary Affordance Detection using Knowledge Distillation and Text-Point Correlation. ICRA 2024: 13968-13975
[c71]
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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
[c70]
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Kim Hoang Tran, Phuc Vuong Do, Ngoc Quoc Ly, Ngan Le:
Unifying Global and Local Scene Entities Modelling for Precise Action Spotting. IJCNN 2024: 1-8
[c69]
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Tuan Van Vo, Minh Nhat Vu, Baoru Huang, An Vuong, Ngan Le, Thieu Vo, Anh Nguyen:
Language-driven Grasp Detection with Mask-guided Attention. IROS 2024: 7492-7498
[c68]
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Nghia Nguyen, Minh Nhat Vu, Baoru Huang, An Vuong, Ngan Le, Thieu Vo, Anh Nguyen:
Lightweight Language-driven Grasp Detection using Conditional Consistency Model. IROS 2024: 13719-13725
[c67]
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Nhat-Tan Bui, Dinh-Hieu Hoang, Thinh Phan, Minh-Triet Tran, Brijesh Patel, Donald A. Adjeroh, Ngan Le:
TSRNET: Simple Framework for Real-Time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network. ISBI 2024: 1-4
[c66]
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Nhat-Tan Bui, Dinh-Hieu Hoang, Minh-Triet Tran, Gianfranco Doretto, Donald A. Adjeroh, Brijesh Patel, Arabinda Choudhary, Ngan Le:
SAM3D: Segment Anything Model in Volumetric Medical Images. ISBI 2024: 1-4
[c65]
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Jingxuan Kang, Tudor Jianu, Baoru Huang, Binod Bhattarai, Ngan Le, Frans Coenen, Anh Nguyen:
Translating Simulation Images to X-Ray Images via Multi-scale Semantic Matching. DEMI@MICCAI 2024: 95-104
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Khoa Vo, Thinh Phan, Kashu Yamazaki, Minh Tran, Ngan Le:
HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model. NeurIPS 2024
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Pha A. Nguyen, Ngan Le, Jackson David Cothren, Alper Yilmaz, Khoa Luu:
DINTR: Tracking via Diffusion-based Interpolation. NeurIPS 2024
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Chau Tran, Duy M. H. Nguyen, Manh-Duy Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh Nguyen, Mathias Niepert:
Accelerating Transformers with Spectrum-Preserving Token Merging. NeurIPS 2024
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Thinh Phan, Khoa Vo, Duy Le, Gianfranco Doretto, Donald A. Adjeroh, Ngan Le:
ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection. WACV 2024: 7031-7040
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Trong-Thang Pham, Jacob Brecheisen, Anh Nguyen, Hien Nguyen, Ngan Le:
I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses. WACV 2024: 7835-7844
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Nhat-Tan Bui, Dinh-Hieu Hoang, Quang-Thuc Nguyen, Minh-Triet Tran, Ngan Le:
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation. WACV 2024: 7970-7979
2023
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Kashu Yamazaki, Khoa Vo, Quang Sang Truong, Bhiksha Raj, Ngan Le:
VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning. AAAI 2023: 3081-3090
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Khoa Vo, Trong-Thang Pham, Kashu Yamazaki, Minh Q. Tran, Ngan Le:
DNA: Deformable Neural Articulations Network for Template-free Dynamic 3D Human Reconstruction from Monocular RGB-D Video. CVPR Workshops 2023: 3676-3685
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Thanh-Dat Truong, Ngan Le, Bhiksha Raj, Jackson David Cothren, Khoa Luu:
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding. CVPR 2023: 19988-19997
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Hyekang Kevin Joo, Khoa Vo, Kashu Yamazaki, Ngan Le:
CLIP-TSA: Clip-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection. ICIP 2023: 3230-3234
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Toan Nguyen, Minh Nhat Vu, An Vuong, Dzung Nguyen, Thieu Vo, Ngan Le, Anh Nguyen:
Open-Vocabulary Affordance Detection in 3D Point Clouds. IROS 2023: 5692-5698
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Tien-Phat Nguyen, Trong-Thang Pham, Tri Nguyen, Hieu Le, Dung Nguyen, Hau Lam, Phong Nguyen, Jennifer Fowler, Minh-Triet Tran, Ngan Le:
EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification. WACV 2023: 1980-1989
2022
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Khoa Vo, Kashu Yamazaki, Phong X. Nguyen, Phat Nguyen, Khoa Luu, Ngan Le:
Contextual Explainable Video Representation: Human Perception-based Understanding. IEEECONF 2022: 1326-1333
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Thinh Phan, Duc Le, Brijesh Patel, Donald A. Adjeroh, Jingxian Wu, Morten Olgaard Jensen, Ngan Le:
Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning. BHI 2022: 1-4
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Minh Q. Tran, Khoa Vo, Kashu Yamazaki, Arthur A. F. Fernandes, Michael Kidd, Ngan Le:
AISFormer: Amodal Instance Segmentation with Transformer. BMVC 2022: 712
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Pha A. Nguyen, Kha Gia Quach, Chi Nhan Duong, Ngan Le, Xuan-Bac Nguyen, Khoa Luu:
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles. CVPR Workshops 2022: 2568-2577
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Pha A. Nguyen, Thanh-Dat Truong, Miaoqing Huang, Yi Liang, Ngan Le, Khoa Luu:
Self-Supervised Domain Adaptation in Crowd Counting. ICIP 2022: 2786-2790
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Kashu Yamazaki, Sang Truong, Viet-Khoa Vo-Ho, Michael Kidd, Chase Rainwater, Khoa Luu, Ngan Le:
VLCAP: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning. ICIP 2022: 3656-3661
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Thanh-Dat Truong, Ravi Teja N. V. S. Chappa, Xuan-Bac Nguyen, Ngan Le, Ashley P. G. Dowling, Khoa Luu:
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation. ICPR 2022: 2850-2856
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Duc-Quang Vu, Ngan T. H. Le, Jia-Ching Wang:
(2+1)D Distilled ShuffleNet: A Lightweight Unsupervised Distillation Network for Human Action Recognition. ICPR 2022: 3197-3203
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Minh Q. Tran, Viet-Khoa Vo-Ho, Ngan T. H. Le:
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation. ICPR 2022: 4392-4398
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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
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Dinh-Hieu Hoang, Gia-Han Diep, Minh-Triet Tran, Ngan T. H. Le:
DAM-AL: dilated attention mechanism with attention loss for 3D infant brain image segmentation. SAC 2022: 660-668
2021
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Minh Duc Le, Vidhiwar Singh Rathour, Quang Sang Truong, Quan Mai, Brijesh Patel, Ngan Le:
Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification. BHI 2021: 1-5
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Vidhiwar Singh Rathour, Kashu Yamazaki, T. Hoang Ngan Le:
Roughness Index and Roughness Distance for Benchmarking Medical Segmentation. BIOIMAGING 2021: 82-93
[c39]
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Khoa Vo, Hyekang Joo, Kashu Yamazaki, Sang Truong, Kris Kitani, Minh-Triet Tran, Ngan Le:
AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation. BMVC 2021: 111
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Viet-Khoa Vo-Ho, Ngan Le, Kashu Yamazaki, Akihiro Sugimoto, Minh-Triet Tran:
Agent-Environment Network for Temporal Action Proposal Generation. ICASSP 2021: 2160-2164
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Thanh-Dat Truong, Chi Nhan Duong, The De Vu, Hoang Anh Pham, Bhiksha Raj, Ngan Le, Khoa Luu:
The Right to Talk: An Audio-Visual Transformer Approach. ICCV 2021: 1085-1094
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Thanh-Dat Truong, Chi Nhan Duong, Ngan Le, Son Lam Phung, Chase Rainwater, Khoa Luu:
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation. ICCV 2021: 8528-8537
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Ngan Le, James Sorensen, Toan Duc Bui, Arabinda Choudhary, Khoa Luu, Hien Van Nguyen:
PairFlow: Enhancing Portable Chest X-Ray By Flow-Based Deformation For Covid-19 Diagnosing. ICIP 2021: 215-219
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Tan Nguyen, Binh-Son Hua, Ngan Le:
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation. MICCAI (1) 2021: 548-558
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Ngoc-Vuong Ho, Tan Nguyen, Gia-Han Diep, Ngan Le, Binh-Son Hua:
Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric Segmentation. MICCAI (1) 2021: 644-655
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Kashu Yamazaki, Vidhiwar Singh Rathour, T. Hoang Ngan Le:
Invertible residual network with regularization for effective volumetric segmentation. Image Processing 2021
2020
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Dat T. Truong, Chi Nhan Duong, Khoa Luu, Minh-Triet Tran, Ngan Le:
Domain Generalization via Universal Non-volume Preserving Approach. CRV 2020: 93-100
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Ngan Le, Kashu Yamazaki, Kha Gia Quach, Dat T. Truong, Marios Savvides:
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation. ICPR 2020: 5943-5950
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Ngan Le, T. Hoang Ngan Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savvides:
Offset Curves Loss for Imbalanced Problem in Medical Segmentation. ICPR 2020: 6189-6195
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Ngan Le, T. Hoang Ngan Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savvides:
Offset Curves Loss for Imbalanced Problem in Medical Segmentation. ICPR 2020: 6189-6195
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Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani:
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 1
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Toan Duc Bui, Manh Nguyen, Ngan Le, Khoa Luu:
Flow-Based Deformation Guidance for Unpaired Multi-contrast MRI Image-to-Image Translation. MICCAI (2) 2020: 728-737
2019
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Chi Nhan Duong, Kha Gia Quach, Ibsa Jalata, Ngan Le, Khoa Luu:
MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices. BTAS 2019: 1-6
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Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Nghia Nguyen, Eric Patterson, Tien D. Bui, Ngan Le:
Automatic Face Aging in Videos via Deep Reinforcement Learning. CVPR 2019: 10013-10022
2018
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T. Hoang Ngan Le, Raajitha Gummadi, Marios Savvides:
Deep Recurrent Level Set for Segmenting Brain Tumors. MICCAI (3) 2018: 646-653
2017
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T. Hoang Ngan Le, Kha Gia Quach, Chenchen Zhu, Chi Nhan Duong, Khoa Luu, Marios Savvides:
Robust Hand Detection and Classification in Vehicles and in the Wild. CVPR Workshops 2017: 1203-1210
[c21]
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Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides:
Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition. ICCV 2017: 3755-3763
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Ligong Han, T. Hoang Ngan Le, Marios Savvides:
An automatic cells detection and segmentation. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101370W
2016
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Yutong Zheng, Chenchen Zhu, Khoa Luu, Chandrasekhar Bhagavatula, T. Hoang Ngan Le, Marios Savvides:
Towards a deep learning framework for unconstrained face detection. BTAS 2016: 1-8
[c18]
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T. Hoang Ngan Le, Yutong Zheng, Chenchen Zhu, Khoa Luu, Marios Savvides:
Multiple Scale Faster-RCNN Approach to Driver's Cell-Phone Usage and Hands on Steering Wheel Detection. CVPR Workshops 2016: 46-53
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Chenchen Zhu, Yutong Zheng, Khoa Luu, T. Hoang Ngan Le, Chandrasekhar Bhagavatula, Marios Savvides:
Weakly Supervised Facial Analysis with Dense Hyper-Column Features. CVPR Workshops 2016: 93-101
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T. Hoang Ngan Le, Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides:
Robust hand detection in Vehicles. ICPR 2016: 573-578
2015
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T. Hoang Ngan Le, Khoa Luu, Marios Savvides:
Fast and robust self-training beard/moustache detection and segmentation. ICB 2015: 507-512
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Karanhaar Singh, Khoa Luu, T. Hoang Ngan Le, Marios Savvides:
A robust contour sampling and tensor-based approach to facial beard and mustache shape segmentation and matching. ICIP 2015: 1399-1403
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Faten M'hiri, T. Hoang Ngan Le, Luc Duong, Christian Desrosiers, Mohamed Cheriet:
Hierarchical segmentation and tracking of coronary arteries in 2D X-ray Angiography sequences. ICIP 2015: 1707-1711
2014
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Hong-Quan Hua, T. Hoang Ngan Le, Bac Le:
An Effective Initialization for ASM-Based Methods. CISIM 2014: 421-432
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T. Hoang Ngan Le, Utsav Prabhu, Marios Savvides:
A novel eyebrow segmentation and eyebrow shape-based identification. IJCB 2014: 1-8
2012
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T. Hoang Ngan Le, Khoa Luu, Keshav Seshadri, Marios Savvides:
A facial aging approach to identification of identical twins. BTAS 2012: 91-98
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T. Hoang Ngan Le, Khoa Luu, Keshav Seshadri, Marios Savvides:
Beard and mustache segmentation using sparse classifiers on self-quotient images. ICIP 2012: 165-168
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Khoa Luu, T. Hoang Ngan Le, Keshav Seshadri, Marios Savvides:
Facecut - a robust approach for facial feature segmentation. ICIP 2012: 1841-1844
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T. Hoang Ngan Le, Khoa Luu, Utsav Prabhu, Marios Savvides:
A novel energy based filter for cross-blink eye detection. ICIP 2012: 1845-1848
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Faten M'hiri, T. Hoang Ngan Le, Luc Duong, Mohamed Cheriet:
A new adaptive framework for tubular structures segmentation in X-ray angiography. ISSPA 2012: 496-500
2011
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T. Hoang Ngan Le, Tien D. Bui, Ching Y. Suen:
Ternary Entropy-Based Binarization of Degraded Document Images Using Morphological Operators. ICDAR 2011: 114-118
2010
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T. Hoang Ngan Le, Kim Hung Nguyen, Hoai Bac Le:
A robust biometric watermark-based authentication scheme. ICDIM 2010: 398-403
2009
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Jung-San Lee, T. Hoang Ngan Le:
Hybrid (2, n) Visual Secret Sharing Scheme for Color Images. RIVF 2009: 1-8
2008
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Chin-Chen Chang, Chia-Chen Lin, T. Hoang Ngan Le, Hoai Bac Le:
A New Probabilistic Visual Secret Sharing Scheme for Color Images. IIH-MSP 2008: 1305-1308
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Chin-Chen Chang, Chia-Chen Lin, T. Hoang Ngan Le, Hoai Bac Le:
A Probabilistic Visual Secret Sharing Scheme for Grayscale Images with Voting Strategy. ISECS 2008: 184-188

Editorship

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2020
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Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani:
Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12446, Springer 2020, ISBN 978-3-030-61165-1 [contents]
2019
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Qian Wang, Fausto Milletari, Hien Van Nguyen, Shadi Albarqouni, M. Jorge Cardoso, Nicola Rieke, Ziyue Xu, Konstantinos Kamnitsas, Vishal Patel, Badri Roysam, Steve B. Jiang, S. Kevin Zhou, Khoa Luu, Ngan Le:
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11795, Springer 2019, ISBN 978-3-030-33390-4 [contents]

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2025
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Duy M. H. Nguyen, Hasan Md Tusfiqur Alam, Binh T. Nguyen, Devansh Srivastav, Hans-Jürgen Profitlich, Ngan Le, Daniel Sonntag:
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends. CoRR abs/2501.04073 (2025)
[i89]
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Huy Le, Nhat Chung, Tung Kieu, Anh Nguyen, Ngan Le:
BiMa: Towards Biases Mitigation for Text-Video Retrieval via Scene Element Guidance. CoRR abs/2506.03589 (2025)
[i88]
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Akash Awasthi, Brandon V. Chang, Anh M. Vu, Ngan Le, Rishi Agrawal, Zhigang Deng, Carol C. Wu, Hien Van Nguyen:
MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant. CoRR abs/2506.17320 (2025)
2024
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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)
[i86]
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Kim Hoang Tran, Phuc Vuong Do, Ngoc Quoc Ly, Ngan Le:
Unifying Global and Local Scene Entities Modelling for Precise Action Spotting. CoRR abs/2404.09951 (2024)
[i85]
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Minh Q. Tran, Sang Truong, Arthur F. A. Fernandes, Michael T. Kidd, Ngan Le:
CarcassFormer: An End-to-end Transformer-based Framework for Simultaneous Localization, Segmentation and Classification of Poultry Carcass Defect. CoRR abs/2404.11429 (2024)
[i84]
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Minh Tran, Adrian de Luis, Haitao Liao, Ying Huang, Roy McCann, H. Alan Mantooth, Jackson David Cothren, Ngan Le:
S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling. CoRR abs/2405.04489 (2024)
[i83]
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  - journals/corr/abs-2405-07994
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Christy Dunlap, Changgen Li, Hari Pandey, Ngan Le, Han Hu:
BubbleID: A Deep Learning Framework for Bubble Interface Dynamics Analysis. CoRR abs/2405.07994 (2024)
[i82]
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  - journals/corr/abs-2405-16148
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Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh T. Nguyen, Mathias Niepert:
Accelerating Transformers with Spectrum-Preserving Token Merging. CoRR abs/2405.16148 (2024)
[i81]
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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)
[i80]
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Ethan Coffman, Reagan Clark, Nhat-Tan Bui, Trong-Thang Pham, Beth Kegley, Jeremy G. Powell, Jiangchao Zhao, Ngan Le:
CattleFace-RGBT: RGB-T Cattle Facial Landmark Benchmark. CoRR abs/2406.03431 (2024)
[i79]
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  - journals/corr/abs-2406-19686
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Akash Awasthi, Ngan Le, Zhigang Deng, Carol C. Wu, Hien Van Nguyen:
Enhancing Radiological Diagnosis: A Collaborative Approach Integrating AI and Human Expertise for Visual Miss Correction. CoRR abs/2406.19686 (2024)
[i78]
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Akash Awasthi, Ngan Le, Zhigang Deng, Rishi Agrawal, Carol C. Wu, Hien Van Nguyen:
Multimodal Learning and Cognitive Processes in Radiology: MedGaze for Chest X-ray Scanpath Prediction. CoRR abs/2407.00129 (2024)
[i77]
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Toan Nguyen, Minh Nhat Vu, Baoru Huang, An Vuong, Quan Vuong, Ngan Le, Thieu Vo, Anh Nguyen:
Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance. CoRR abs/2407.13842 (2024)
[i76]
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Nghia Nguyen, Minh Nhat Vu, Baoru Huang, An Vuong, Ngan Le, Thieu Vo, Anh Nguyen:
Lightweight Language-driven Grasp Detection using Conditional Consistency Model. CoRR abs/2407.17967 (2024)
[i75]
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Tuan Van Vo, Minh Nhat Vu, Baoru Huang, An Vuong, Ngan Le, Thieu Vo, Anh Nguyen:
Language-driven Grasp Detection with Mask-guided Attention. CoRR abs/2407.19877 (2024)
[i74]
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  - journals/corr/abs-2409-17727
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Nghia Nguyen, Minh Nhat Vu, Tung D. Ta, Baoru Huang, Thieu Vo, Ngan Le, Anh Nguyen:
Robotic-CLIP: Fine-tuning CLIP on Action Data for Robotic Applications. CoRR abs/2409.17727 (2024)
[i73]
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Minh Tran, Khoa Vo, Nguyen Thanh Binh, Ngan Le:
Amodal Instance Segmentation with Diffusion Shape Prior Estimation. CoRR abs/2409.18256 (2024)
[i72]
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  - journals/corr/abs-2410-09155
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Marta Veganzones Rodriguez, Thinh Phan, Arthur F. A. Fernandes, Vivian Breen, Jesus Arango, Michael T. Kidd, Ngan Le:
Facial Chick Sexing: An Automated Chick Sexing System From Chick Facial Image. CoRR abs/2410.09155 (2024)
[i71]
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Pha A. Nguyen, Ngan Le, Jackson David Cothren, Alper Yilmaz, Khoa Luu:
DINTR: Tracking via Diffusion-based Interpolation. CoRR abs/2410.10053 (2024)
[i70]
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Thinh Phan, Isaac Phillips, Andrew Lockett, Michael Kidd, Ngan Le:
TrackMe:A Simple and Effective Multiple Object Tracking Annotation Tool. CoRR abs/2410.15518 (2024)
[i69]
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  - journals/corr/abs-2410-22224
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Tudor Jianu, Baoru Huang, Hoan Nguyen, Binod Bhattarai, Tuong Do, Erman Tjiputra, Quang Tran, Pierre Berthet-Rayne, Ngan Le, Sebastiano Fichera, Anh Nguyen:
Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction. CoRR abs/2410.22224 (2024)
[i68]
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Trong-Thang Pham, Tien-Phat Nguyen, Yuki Ikebe, Akash Awasthi, Zhigang Deng, Carol C. Wu, Hien Nguyen, Ngan Le:
GazeSearch: Radiology Findings Search Benchmark. CoRR abs/2411.05780 (2024)
[i67]
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  - journals/corr/abs-2411-15413
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Trong-Thang Pham, Ngoc-Vuong Ho, Nhat-Tan Bui, Thinh Phan, Patel Brijesh Patel, Donald A. Adjeroh, Gianfranco Doretto, Anh Nguyen, Carol C. Wu, Hien Nguyen, Ngan Le:
FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation. CoRR abs/2411.15413 (2024)
[i66]
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  - journals/corr/abs-2412-01147
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Minh Tran, Thang Pham, Winston Bounsavy, Tri Nguyen, Ngan Le:
A2VIS: Amodal-Aware Approach to Video Instance Segmentation. CoRR abs/2412.01147 (2024)
[i65]
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  - journals/corr/abs-2412-08125
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Quang-Hung Le, Long Hoang Dang, Ngan Le, Truyen Tran, Thao Minh Le:
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models. CoRR abs/2412.08125 (2024)
2023
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Toan Nguyen, Minh Nhat Vu, An Vuong, Dzung Nguyen, Thieu Vo, Ngan Le, Anh Nguyen:
Open-Vocabulary Affordance Detection in 3D Point Clouds. CoRR abs/2303.02401 (2023)
[i63]
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  - journals/corr/abs-2304-02135
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Thanh-Dat Truong, Ngan Le, Bhiksha Raj, Jackson David Cothren, Khoa Luu:
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding. CoRR abs/2304.02135 (2023)
[i62]
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Jingxuan Kang, Tudor Jianu, Baoru Huang, Binod Bhattarai, Ngan Le, Frans Coenen, Anh Nguyen:
Translating Simulation Images to X-ray Images via Multi-Scale Semantic Matching. CoRR abs/2304.07693 (2023)
[i61]
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  - journals/corr/abs-2306-06842
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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)
[i60]
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Nhat-Tan Bui, Dinh-Hieu Hoang, Quang-Thuc Nguyen, Minh-Triet Tran, Ngan Le:
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation. CoRR abs/2309.03329 (2023)
[i59]
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Nhat-Tan Bui, Dinh-Hieu Hoang, Minh-Triet Tran, Ngan Le:
SAM3D: Segment Anything Model in Volumetric Medical Images. CoRR abs/2309.03493 (2023)
[i58]
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Toan Nguyen, Minh Nhat Vu, Baoru Huang, Tuan Van Vo, Vy Truong, Ngan Le, Thieu Vo, Bac Le, Anh Nguyen:
Language-Conditioned Affordance-Pose Detection in 3D Point Clouds. CoRR abs/2309.10911 (2023)
[i57]
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Tuan Van Vo, Minh Nhat Vu, Baoru Huang, Toan Nguyen, Ngan Le, Thieu Vo, Anh Nguyen:
Open-Vocabulary Affordance Detection using Knowledge Distillation and Text-Point Correlation. CoRR abs/2309.10932 (2023)
[i56]
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Trong-Thang Pham, Jacob Brecheisen, Anh Nguyen, Hien Nguyen, Ngan Le:
Decoding Radiologists Intense Focus for Accurate CXR Diagnoses: A Controllable and Interpretable AI System. CoRR abs/2309.13550 (2023)
[i55]
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  - journals/corr/abs-2310-03923
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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)
[i54]
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  - journals/corr/abs-2310-20057
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Adrian de Luis, Minh Tran, Taisei Hanyu, Anh Tran, Haitao Liao, Roy McCann, H. Alan Mantooth, Ying Huang, Ngan Le:
SolarFormer: Multi-scale Transformer for Solar PV Profiling. CoRR abs/2310.20057 (2023)
[i53]
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  - journals/corr/abs-2311-00729
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Thinh Phan, Khoa Vo, Duy Le, Gianfranco Doretto, Donald A. Adjeroh, Ngan Le:
ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection. CoRR abs/2311.00729 (2023)
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  - journals/corr/abs-2312-05634
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Quoc-Huy Trinh, Nhat-Tan Bui, Dinh-Hieu Hoang, Phuoc-Thao Vo Thi, Hai-Dang Nguyen, Debesh Jha, Ulas Bagci, Ngan Le, Minh-Triet Tran:
PGS: Pose-Guided Supervision for Mitigating Clothes-Changing in Person Re-Identification. CoRR abs/2312.05634 (2023)
[i51]
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  - journals/corr/abs-2312-07740
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Naga Venkata Sai Raviteja Chappa, Pha A. Nguyen, T. Hoang Ngan Le, Khoa Luu:
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos. CoRR abs/2312.07740 (2023)
[i50]
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Huy Le, Tung Kieu, Anh Nguyen, Ngan Le:
WAVER: Writing-style Agnostic Text-Video Retrieval via Distilling Vision-Language Models Through Open-Vocabulary Knowledge. CoRR abs/2312.09507 (2023)
[i49]
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Nhat-Tan Bui, Dinh-Hieu Hoang, Thinh Phan, Minh-Triet Tran, Brijesh Patel, Donald A. Adjeroh, Ngan Le:
TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network. CoRR abs/2312.10187 (2023)
2022
[i48]
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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)
[i47]
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  - journals/corr/abs-2203-08942
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Khoa Vo, Kashu Yamazaki, Sang Truong, Minh-Triet Tran, Akihiro Sugimoto, Ngan Le:
ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation. CoRR abs/2203.08942 (2022)
[i46]
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  - journals/corr/abs-2203-08948
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Minh Q. Tran, Viet-Khoa Vo-Ho, Kyle Quinn, Hien Nguyen, Khoa Luu, Ngan Le:
CapsNet for Medical Image Segmentation. CoRR abs/2203.08948 (2022)
[i45]
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Viet-Khoa Vo-Ho, Kashu Yamazaki, Hieu Hoang, Minh-Triet Tran, Ngan Le:
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications. CoRR abs/2203.08951 (2022)
[i44]
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Ngoc-Vuong Ho, Tan Nguyen, Gia-Han Diep, Ngan Le, Binh-Son Hua:
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation. CoRR abs/2203.08964 (2022)
[i43]
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Tan Nguyen, Binh-Son Hua, Ngan Le:
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation. CoRR abs/2203.08965 (2022)
[i42]
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  - journals/corr/abs-2204-09151
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Pha A. Nguyen, Kha Gia Quach, Chi Nhan Duong, Ngan Le, Xuan-Bac Nguyen, Khoa Luu:
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles. CoRR abs/2204.09151 (2022)
[i41]
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  - journals/corr/abs-2205-09299
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Minh Q. Tran, Viet-Khoa Vo-Ho, Ngan T. H. Le:
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation. CoRR abs/2205.09299 (2022)
[i40]
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  - journals/corr/abs-2205-10738
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Thanh-Dat Truong, Naga Venkata Sai Raviteja Chappa, Xuan-Bac Nguyen, Ngan Le, Ashley Dowling, Khoa Luu:
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation. CoRR abs/2205.10738 (2022)
[i39]
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  - journals/corr/abs-2206-03431
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Pha A. Nguyen, Thanh-Dat Truong, Miaoqing Huang, Yi Liang, Ngan Le, Khoa Luu:
Self-supervised Domain Adaptation in Crowd Counting. CoRR abs/2206.03431 (2022)
[i38]
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Kashu Yamazaki, Sang Truong, Khoa Vo, Michael Kidd, Chase Rainwater, Khoa Luu, Ngan Le:
VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning. CoRR abs/2206.12972 (2022)
[i37]
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  - journals/corr/abs-2209-04920
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Thanh-Dat Truong, Chi Nhan Duong, Ngan Le, Marios Savvides, Khoa Luu:
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition. CoRR abs/2209.04920 (2022)
[i36]
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  - journals/corr/abs-2210-02578
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Khoa Vo, Sang Truong, Kashu Yamazaki, Bhiksha Raj, Minh-Triet Tran, Ngan Le:
AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation. CoRR abs/2210.02578 (2022)
[i35]
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  - journals/corr/abs-2210-04615
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Tien-Phat Nguyen, Trong-Thang Pham, Tri Nguyen, Hieu Le, Dung Nguyen, Hau Lam, Phong Nguyen, Jennifer Fowler, Minh-Triet Tran, Ngan Le:
EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification. CoRR abs/2210.04615 (2022)
[i34]
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  - journals/corr/abs-2210-06297
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Thinh Phan, Duc Le, Brijesh Patel, Donald A. Adjeroh, Jingxian Wu, Morten Olgaard Jensen, Ngan Le:
Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning. CoRR abs/2210.06297 (2022)
[i33]
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Minh Q. Tran, Khoa Vo, Kashu Yamazaki, Arthur A. F. Fernandes, Michael Kidd, Ngan Le:
AISFormer: Amodal Instance Segmentation with Transformer. CoRR abs/2210.06323 (2022)
[i32]
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Pha A. Nguyen, Kha Gia Quach, Chi Nhan Duong, Son Lam Phung, Ngan Le, Khoa Luu:
Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach. CoRR abs/2211.09663 (2022)
[i31]
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  - journals/corr/abs-2211-15103
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Kashu Yamazaki, Khoa Vo, Sang Truong, Bhiksha Raj, Ngan Le:
VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning. CoRR abs/2211.15103 (2022)
[i30]
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  - journals/corr/abs-2212-05136
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Hyekang Kevin Joo, Khoa Vo, Kashu Yamazaki, Ngan Le:
CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection. CoRR abs/2212.05136 (2022)
[i29]
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  - journals/corr/abs-2212-06206
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Khoa Vo, Kashu Yamazaki, Phong X. Nguyen, Phat Nguyen, Khoa Luu, Ngan Le:
Contextual Explainable Video Representation: Human Perception-based Understanding. CoRR abs/2212.06206 (2022)
[i28]
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  - journals/corr/abs-2212-14615
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Hasan Md Tusfiqur Alam, Duy M. H. Nguyen, Mai Thanh Nhat Truong, Triet A. Nguyen, Binh T. Nguyen, Michael Barz, Hans-Jürgen Profitlich, Ngoc T. T. Than, Ngan Le, Pengtao Xie, Daniel Sonntag:
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading. CoRR abs/2212.14615 (2022)
2021
[i27]
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  - journals/corr/abs-2102-10378
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Duc-Quang Vu, Ngan Le, Jia-Ching Wang:
Self-Supervised Learning via multi-Transformation Classification for Action Recognition. CoRR abs/2102.10378 (2021)
[i26]
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S. Kevin Zhou, T. Hoang Ngan Le, Khoa Luu, Hien Van Nguyen, Nicholas Ayache:
Deep reinforcement learning in medical imaging: A literature review. CoRR abs/2103.05115 (2021)
[i25]
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Kashu Yamazaki, Vidhiwar Singh Rathour, T. Hoang Ngan Le:
Invertible Residual Network with Regularization for Effective Medical Image Segmentation. CoRR abs/2103.09042 (2021)
[i24]
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Vidhiwar Singh Rathour, Kashu Yamazaki, T. Hoang Ngan Le:
Roughness Index and Roughness Distance for Benchmarking Medical Segmentation. CoRR abs/2103.12350 (2021)
[i23]
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Viet-Khoa Vo-Ho, Ngan Le, Kashu Yamazaki, Akihiro Sugimoto, Minh-Triet Tran:
Agent-Environment Network for Temporal Action Proposal Generation. CoRR abs/2107.08323 (2021)
[i22]
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Thanh-Dat Truong, Chi Nhan Duong, The De Vu, Hoang Anh Pham, Bhiksha Raj, Ngan Le, Khoa Luu:
The Right to Talk: An Audio-Visual Transformer Approach. CoRR abs/2108.03256 (2021)
[i21]
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  - journals/corr/abs-2108-03267
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Thanh-Dat Truong, Chi Nhan Duong, Ngan Le, Son Lam Phung, Chase Rainwater, Khoa Luu:
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation. CoRR abs/2108.03267 (2021)
[i20]
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Ngan Le, Vidhiwar Singh Rathour, Kashu Yamazaki, Khoa Luu, Marios Savvides:
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey. CoRR abs/2108.11510 (2021)
[i19]
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  - journals/corr/abs-2110-11474
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Khoa Vo, Hyekang Joo, Kashu Yamazaki, Sang Truong, Kris Kitani, Minh-Triet Tran, Ngan Le:
AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation. CoRR abs/2110.11474 (2021)
[i18]
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Dinh-Hieu Hoang, Gia-Han Diep, Minh-Triet Tran, Ngan T. H. Le:
DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation. CoRR abs/2112.13559 (2021)
2020
[i17]
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  - journals/corr/abs-2004-05085
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Thanh-Dat Truong, Chi Nhan Duong, Kha Gia Quach, Ngan Le, Khoa Luu, Tien D. Bui, Khoa Luu:
LIAAD: Lightweight Attentive Angular Distillation for Large-scale Age-Invariant Face Recognition. CoRR abs/2004.05085 (2020)
[i16]
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  - journals/corr/abs-2012-01777
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Toan Duc Bui, Manh Nguyen, Ngan Le, Khoa Luu:
Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation. CoRR abs/2012.01777 (2020)
[i15]
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Ngan Le, Kashu Yamazaki, Dat T. Truong, Kha Gia Quach, Marios Savvides:
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation. CoRR abs/2012.02073 (2020)
[i14]
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  - journals/corr/abs-2012-02463
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Ngan Le, T. Hoang Ngan Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savvides:
Offset Curves Loss for Imbalanced Problem in Medical Segmentation. CoRR abs/2012.02463 (2020)
[i13]
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Ngan Le, T. Hoang Ngan Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savvides:
Offset Curves Loss for Imbalanced Problem in Medical Segmentation. CoRR abs/2012.02463 (2020)
2019
[i12]
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  - journals/corr/abs-1905-10170
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Thanh-Dat Truong, Khoa Luu, Chi Nhan Duong, Ngan Le, Minh-Triet Tran:
Generative Flow via Invertible nxn Convolution. CoRR abs/1905.10170 (2019)
[i11]
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  - journals/corr/abs-1905-10620
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Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Ngan Le:
ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks. CoRR abs/1905.10620 (2019)
[i10]
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  - journals/corr/abs-1905-12028
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Thanh-Dat Truong, Khoa Luu, Chi Nhan Duong, Ngan Le, Minh-Triet Tran:
Image Alignment in Unseen Domains via Domain Deep Generalization. CoRR abs/1905.12028 (2019)
2018
[i9]
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  - journals/corr/abs-1810-04752
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T. Hoang Ngan Le, Raajitha Gummadi, Marios Savvides:
Deep Recurrent Level Set for Segmenting Brain Tumors. CoRR abs/1810.04752 (2018)
[i8]
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  - journals/corr/abs-1811-11080
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Chi Nhan Duong, Kha Gia Quach, Ngan Le, Nghia Nguyen, Khoa Luu:
MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices. CoRR abs/1811.11080 (2018)
[i7]
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  - journals/corr/abs-1811-11082
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Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Nghia Nguyen, Eric Patterson, Tien D. Bui, Ngan Le:
Automatic Face Aging in Videos via Deep Reinforcement Learning. CoRR abs/1811.11082 (2018)
[i6]
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  - journals/corr/abs-1811-11849
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Kha Gia Quach, Ngan Le, Khoa Luu, Chi Nhan Duong, Ibsa Jalata, Karl Ricanek:
Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos. CoRR abs/1811.11849 (2018)
2017
[i5]
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  - journals/corr/DuongQLLS17
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Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides:
Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition. CoRR abs/1703.08617 (2017)
[i4]
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  - journals/corr/LeQLSZ17
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T. Hoang Ngan Le, Kha Gia Quach, Khoa Luu, Marios Savvides, Chenchen Zhu:
Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation. CoRR abs/1704.03593 (2017)
[i3]
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  - journals/corr/LeDHLSP17
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T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Marios Savvides, Dipan K. Pal:
Deep Contextual Recurrent Residual Networks for Scene Labeling. CoRR abs/1704.03594 (2017)
[i2]
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  - journals/corr/abs-1711-10520
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Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides:
Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning. CoRR abs/1711.10520 (2017)
2016
[i1]
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  - journals/corr/ZhengZLBLS16
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Yutong Zheng, Chenchen Zhu, Khoa Luu, Chandrasekhar Bhagavatula, T. Hoang Ngan Le, Marios Savvides:
Towards a Deep Learning Framework for Unconstrained Face Detection. CoRR abs/1612.05322 (2016)

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