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ORCIDDinh Viet Sang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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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2020 – today
- 2024
[j7]Zhiyao Ren, Dinh Viet Sang
, Pooi-Mun Wong, Chin-Boon Chng, Joan Jue-Ying Too, Theng-Wai Foong, Ne-Hooi Will Loh, Chee-Kong Chui:
G2LCPS: End-to-end semi-supervised landmark prediction with global-to-local cross pseudo supervision for airway difficulty assessment. Comput. Biol. Medicine 183: 109246 (2024)- [i8]Nguyen Quang Duc, Le Hai Son, Nguyen Duc Nhan, Nguyen Dich Nhat Minh, Le Thanh Huong, Dinh Viet Sang:
Towards Comprehensive Vietnamese Retrieval-Augmented Generation and Large Language Models. CoRR abs/2403.01616 (2024) - 2023
- [c43]Ren-Jun Soon, Dinh Viet Sang, Chin-Boon Chng, Chee-Kong Chui:
Explainable AI for CPS-Based Manufacturing Workcell. ICSSE 2023: 332-337 - [c42]Nguyen Van Giang, Nguyen Minh Son, Kieu Anh van, Tran Cat Khanh, Pham Ngoc Minh, Dinh Viet Sang:
One-stage Robotic Grasp Detection. KSE 2023: 1-6 - [c41]Nguyen Hong Son, Nguyen Thanh Huyen, Dinh Viet Sang:
Semi-Supervised Learning with Dense Target Producer for End-to-End Lightweight Polyp Detection. KSE 2023: 1-6 - [c40]Hoai Viet Nguyen, Pham Vu Hung, Dinh Viet Sang:
Memory-Driven Region Contrast for Enhanced Polyp Semantic Segmentation. MAPR 2023: 1-6 - [c39]Duc Nguyen Quang, Luong Tran Khanh, Duc Le Hong, Hoan Nguyen Huy, Phuc Trinh Anh, Sang Dinh Viet:
Improving Single Positive Multi-label Classification via Knowledge-based Label-weighted Large Loss Rejection. SoICT 2023: 429-434 - [c38]Hung Vu Quoc, Thao Tran Le Phuong, Minh Trinh Xuan, Sang Dinh Viet:
LSegDiff: A Latent Diffusion Model for Medical Image Segmentation. SoICT 2023: 456-462 - [c37]Nguyen Minh Chau, Toan Nguyen Ngoc, Tuyen Le Dinh, Sang Dinh Viet, Pooi-Mun Wong, Chin-Boon Chng, Chee-Kong Chui:
Boosting Facial Landmark Detection via Self-supervised and Semi-supervised Learning. SoICT 2023: 485-492 - [c36]Pham Van Toan, Dinh Viet Sang:
M3C-Polyp: Mixed Momentum Model Committee for Improved Semi-Supervised Learning in Polyp Segmentation. WSSE 2023: 274-279 - [i7]Pham Vu Hung, Nguyen Duy Manh, Nguyen Thi Oanh, Nguyen Thi Thuy, Dinh Viet Sang:
UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysis. CoRR abs/2307.06260 (2023) - [i6]Nguyen Hoang Thuan, Nguyen Thi Oanh, Nguyen Thi Thuy, Stuart W. Perry, Dinh Viet Sang:
RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation. CoRR abs/2307.06420 (2023) - 2022
- [j6]Nguyen Sy An, Phan Ngoc Lan, Dao Viet Hang, Dao Van Long, Tran Quang Trung, Nguyen Thi Thuy, Dinh Viet Sang:
BlazeNeo: Blazing Fast Polyp Segmentation and Neoplasm Detection. IEEE Access 10: 43669-43684 (2022) - [j5]Thanh Duc Nguyen, Thi-Oanh Nguyen, Nguyen Thi Thuy, Minh-Triet Tran, Dinh Viet Sang:
ColonFormer: An Efficient Transformer Based Method for Colon Polyp Segmentation. IEEE Access 10: 80575-80586 (2022) - [j4]Kieu Dang Nam, Tu M. Nguyen, Trinh V. Dieu, Muriel Visani, Thi-Oanh Nguyen, Dinh Viet Sang:
A Novel Unsupervised Domain Adaption Method for Depth-Guided Semantic Segmentation Using Coarse-to-Fine Alignment. IEEE Access 10: 101248-101262 (2022) - [c35]Toan Van Pham, Sang Viet Dinh, Linh Doan Bao, Thanh Tung Nguyen, Quang Hung Nguyen, Duc Trung Tran:
Improve polyp semi-supervised segmentation with prioritizing the reliability of unlabeled images. ICSIE 2022: 35-40 - [c34]Nguyen Tuan Hung, Phan Ngoc Lan, Nguyen Thi Oanh, Nguyen Thi Thuy, Dinh Viet Sang:
GCEENet: A Global Context Enhancement and Exploitation for Medical Image Segmentation. ISVC (2) 2022: 141-152 - [c33]Nguyen Minh Chau, Le Truong Giang, Dinh Viet Sang:
PolypDEQ: Towards Effective Transformer-Based Deep Equilibrium Models for Colon Polyp Segmentation. ISVC (1) 2022: 456-467 - [c32]Nguyen Viet Manh, Kieu Dang Nam, Dinh Viet Sang, Thi-Oanh Nguyen:
G2L: A Global to Local Alignment Method for Unsupervised Domain Adaptive Semantic Segmentation. KES 2022: 2698-2707 - [c31]Nguyen Duy Manh, Dao Viet Hang, Dao Van Long, Le Quang Hung, Pham Cong Khanh, Nguyen Thi Oanh, Nguyen Thi Thuy, Dinh Viet Sang:
EndoUNet: A Unified Model for Anatomical Site Classification, Lesion Categorization and Segmentation for Upper Gastrointestinal Endoscopy. KSE 2022: 1-6 - [c30]Kieu Dang Nam, Thi-Oanh Nguyen, Nguyen Thi Thuy, Dao Viet Hang, Dao Van Long, Tran Quang Trung, Dinh Viet Sang:
A Coarse-to-fine Unsupervised Domain Adaptation Method for Cross-Mode Polyp Segmentation. KSE 2022: 1-6 - [c29]Toan Pham Van, Linh Doan Bao, Thanh Tung Nguyen, Duc Trung Tran, Quan Van Nguyen, Dinh Viet Sang:
Online pseudo labeling for polyp segmentation with momentum networks. KSE 2022: 1-6 - [c28]Sang Dinh Viet, Quang Do Duy:
Incremental Boundary Refinement using Self Axial Reverse Attention and Uncertainty-aware Gate for Colon Polyp Segmentation. SoICT 2022: 322-328 - [i5]Nguyen Sy An, Phan Ngoc Lan, Dao Viet Hang, Dao Van Long, Tran Quang Trung, Nguyen Thi Thuy, Dinh Viet Sang:
BlazeNeo: Blazing fast polyp segmentation and neoplasm detection. CoRR abs/2203.00129 (2022) - [i4]Thanh Duc Nguyen, Thi-Oanh Nguyen, Nguyen Thi Thuy, Minh-Triet Tran, Dinh Viet Sang:
ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation. CoRR abs/2205.08473 (2022) - [i3]Toan Pham Van, Linh Doan Bao, Thanh Tung Nguyen, Duc Trung Tran, Quan Van Nguyen, Dinh Viet Sang:
Online pseudo labeling for polyp segmentation with momentum networks. CoRR abs/2209.14599 (2022) - 2021
- [c27]Hoai Viet Nguyen, Hoang Huy Phan, Linh Doan Bao, Dinh Viet Sang:
An End-to-End Spatial-Aware Attention Method for Multi-Line License Plate Spotting. ICFNDS 2021: 625-632 - [c26]Phan Ngoc Lan, Nguyen Sy An, Dao Viet Hang, Dao Van Long, Tran Quang Trung, Nguyen Thi Thuy, Dinh Viet Sang:
NeoUNet : Towards Accurate Colon Polyp Segmentation and Neoplasm Detection. ISVC (2) 2021: 15-28 - [c25]Dinh Viet Sang, Lam Xuan Thu:
FastTacotron: A Fast, Robust and Controllable Method for Speech Synthesis. MAPR 2021: 1-5 - [c24]Nguyen Ba Hung, Thanh Duc Nguyen, Thai Van Chien, Dinh Viet Sang:
AG-ResUNet++: An Improved Encoder-Decoder Based Method for Polyp Segmentation in Colonoscopy Images. RIVF 2021: 1-6 - [c23]Nguyen Trong Thai, Nguyen Hoang Thuan, Dinh Viet Sang:
An Improved Deep Neural Network Based on a Novel Visual Attention Mechanism for Text Recognition. RIVF 2021: 1-6 - [i2]Dinh Viet Sang, Tran Quang Chung, Phan Ngoc Lan, Dao Viet Hang, Dao Van Long, Nguyen Thi Thuy:
AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation. CoRR abs/2105.00402 (2021) - [i1]Phan Ngoc Lan, Nguyen Sy An, Dao Viet Hang, Dao Van Long, Tran Quang Trung, Nguyen Thi Thuy, Dinh Viet Sang:
NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection. CoRR abs/2107.05023 (2021) - 2020
- [c22]Thanh Hau Nguyen, Cong Hau Le, Dinh Viet Sang, Tingting Yao, Wei Li, Zhiyong Wang:
Efficient Brain Tumor Segmentation with Dilated Multi-fiber Network and Weighted Bi-directional Feature Pyramid Network. DICTA 2020: 1-7 - [c21]Tran Quang Chung, Hoang Cao Huyen, Dinh Viet Sang:
A Novel Generative Model to Synthesize Face Images for Pose-invariant Face Recognition. MAPR 2020: 1-6 - [c20]Nguyen Thanh Dat, Tuan Anh Nguyen Dang, Dinh Viet Sang:
PCA-based 3D Facial Reenactment From Single Image. MAPR 2020: 1-5
2010 – 2019
- 2019
- [c19]Huong-Giang Doan, Thanh-Hai Tran, Hai Vu, Thi-Lan Le, Van-Toi Nguyen, Sang Viet Dinh, Thi-Oanh Nguyen, Thi Thuy Nguyen, Duy-Cuong Nguyen:
Multi-view Discriminant Analysis for Dynamic Hand Gesture Recognition. ACPR Workshops 2019: 196-210 - [c18]Dinh Viet Sang, Phan Ngoc Lan:
BK.Synapse: A scalable distributed training framework for deep learning. SoICT 2019: 43-48 - [c17]Dinh Viet Sang, Duong Viet Hung:
YOLOv3-VD: A sparse network for vehicle detection using variational dropout. SoICT 2019: 280-284 - [c16]Dinh Viet Sang, Le Tran Bao Cuong:
Improving CRNN with EfficientNet-like feature extractor and multi-head attention for text recognition. SoICT 2019: 285-290 - 2018
- [j3]Dinh Viet Sang, Le Tran Bao Cuong:
Effective Deep Multi-source Multi-task Learning Frameworks for Smile Detection, Emotion Recognition and Gender Classification. Informatica (Slovenia) 42(3) (2018) - [c15]Dinh Viet Sang, Le Tran Bao Cuong, Pham Thai Ha:
Discriminative Deep Feature Learning for Facial Emotion Recognition. MAPR 2018: 1-6 - [c14]Dinh Viet Sang, Dang Manh Cuong, Le Tran Bao Cuong:
An Effective Ensemble Deep Learning Framework for Malware Detection. SoICT 2018: 192-199 - [c13]Dinh Viet Sang, Nguyen Duc Minh:
Fully Residual Convolutional Neural Networks for Aerial Image Segmentation. SoICT 2018: 289-296 - [c12]Dinh Viet Sang, Hoang Trung Dung:
Two-stream Deep Residual Learning with Fisher Criterion for Human Action Recognition. SoICT 2018: 297-304 - 2017
- [c11]Xuan Cuong Pham, Manh Truong Dang, Dinh Viet Sang, Son Hoang, Tien Thanh Nguyen, Alan Wee-Chung Liew:
Learning from Data Stream Based on Random Projection and Hoeffding Tree Classifier. DICTA 2017: 1-8 - [c10]Dinh Viet Sang, Nguyen Van Dat, Do Phan Thuan:
Facial expression recognition using deep convolutional neural networks. KSE 2017: 130-135 - [c9]Dinh Viet Sang, Le Tran Bao Cuong, Do Phan Thuan:
Facial smile detection using convolutional neural networks. KSE 2017: 136-141 - [c8]Dinh Viet Sang, Le Tran Bao Cuong, Vu Van Thieu:
Multi-task learning for smile detection, emotion recognition and gender classification. SoICT 2017: 340-347 - 2016
- [j2]Dang N. H. Thanh, Sergey D. Dvoenko, Dinh Viet Sang:
A Mixed Noise Removal Method Based on Total Variation. Informatica (Slovenia) 40(2) (2016) - [j1]Nguyen Thi Thuy, Huynh Thi Thanh Binh, Dinh Viet Sang:
A New Approach for Learning Discriminative Dictionary for Pattern Classification. J. Inf. Sci. Eng. 32(4): 1113-1127 (2016) - [c7]Dao Duy Son, Dinh Viet Sang, Huynh Thi Thanh Binh, Nguyen Thi Thuy:
Label associated dictionary pair learning for face recognition. SoICT 2016: 302-307 - [c6]Dang N. H. Thanh, Dinh Viet Sang, Sergey D. Dvoenko:
Colour image denoising based on a combined model. SoICT 2016: 308-315 - 2015
- [c5]Nguyen Quang Manh, Nguyen Duc Tuan, Dinh Viet Sang, Huynh Thi Thanh Binh, Nguyen Thi Thuy:
Uniform Detection in Social Image Streams. KSE 2015: 180-185 - [c4]Nguyen Duc Tuan, Nguyen Quang Manh, Dinh Viet Sang, Huynh Thi Thanh Binh, Nguyen Thi Thuy:
A Study on Non-sparse Dictionary Learning for Pattern Classification. KSE 2015: 371-376 - [c3]Dang N. H. Thanh, Sergey D. Dvoenko, Dinh Viet Sang:
A Denoising Method Based on Total Variation. SoICT 2015: 223-230 - [c2]Nguyen Tien Quang, Nguyen Thi Thuy, Dinh Viet Sang, Huynh Thi Thanh Binh:
An Efficient Framework for Pixel-wise Building Segmentation from Aerial Images. SoICT 2015: 282-287 - [e1]Huynh Quyet Thang, Le Anh Phuong, Luc De Raedt, Yves Deville, Marc Bui, Truong Thi Dieu Linh, Thi-Oanh Nguyen, Dinh Viet Sang, Nguyen Ba Ngoc:
Proceedings of the Sixth International Symposium on Information and Communication Technology, Hue City, Vietnam, December 3-4, 2015. ACM 2015, ISBN 978-1-4503-3843-1 [contents] - 2014
- [c1]Dinh Viet Sang, Mai Dinh Loi, Nguyen Tien Quang, Huynh Thi Thanh Binh, Nguyen Thi Thuy:
Improving semantic texton forests with a Markov random field for image segmentation. SoICT 2014: 162-170
Coauthor Index
aka: Nguyen Thi Thuy
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