List of Publications

  1. Nguyen Minh Chau, Nguyen Ngoc Toan, Le Dinh Tuyen, Dinh Viet Sang, Pooi-Mun Wong, Chin-Boon Chng and Chee-Kong Chui. Boosting Facial Landmark Detection via Self-supervised and Semi-supervised Learning. SOICT 2023
  2. Vu Quoc Hung, Tran Le Phuong Thao, Trinh Xuan Minh, Dinh Viet Sang. LSegDiff: A Latent Diffusion Model for Medical Image Segmentation. SOICT 2023
  3. Nguyen Quang Duc, Tran Khanh Luong, Le Hong Duc, Nguyen Huy Hoan, Trinh Anh Phuc, Dinh Viet Sang. Improving Single Positive Multi-label Classification via Knowledge-based Label-weighted Large Loss Rejection. SOICT 2023
  4. Duong Kien, Nguyen Thi Oanh, Dinh Viet Sang. MCLDA: Multi-level Contrastive Learning for Domain Adaptive Semantic Segmentation. SOICT 2023
  5. Ren-Jun Soon, Dinh Viet Sang, Chin-Boon Chng, Chee-Kong Chui. Explainable AI for CPS-Based Manufacturing Workcell. ICSSE 2023: 332-337
  6. Pham Van Toan, Dinh Viet Sang.M3C-Polyp - Mixed Momentum Model Committee for Improved Semi-Supervised Learning in Polyp Segmentation. BDCI 2023
  7. 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
  8. 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
  9. Nguyen Viet Hoai, Pham Vu Hung, Dinh Viet Sang. Memory-Driven Region Contrast for Enhanced Polyp Semantic Segmentation. MAPR 2023 (Best Paper Award)
  10. Pham Van Toan, Dinh Viet Sang. ESSL-Polyp - A Robust Framework of Ensemble Semi-Supervised Learning in Polyp Segmentation. Computing Conference 2023
  11. Dinh Viet Sang, Do Duy Quang. Incremental Boundary Refinement using Self Axial Reverse Attention and Uncertainty-aware Gate for Colon Polyp Segmentation. SoICT 2022
  12. Nam Kieu Dang, Oanh Nguyen Thi, Thuy Nguyen Thi, Hang Dao Viet, Long Dao Van, Trung Tran Quang, Sang Dinh Viet. A Coarse-to-fine Unsupervised Domain Adaptation Method for Cross-Mode Polyp Segmentation. KSE 2022
  13. Manh Nguyen Duy, Hang Dao Viet, Long Dao Van, Hung Le Quang, Khanh Pham Cong, Oanh Nguyen Thi, Thuy Nguyen Thi, Sang Dinh Viet. EndoUNet: A Unified Model for Anatomical Site Classification, Lesion Categorization and Segmentation for Upper Gastrointestinal Endoscopy. KSE 2022 (Best Paper Award)
  14. Toan Pham Van, Linh Doan Bao, Duc Tran Trung and Quan Nguyen Van, Sang Dinh Viet. Online pseudo labeling for polyp segmentation with momentum networks. KSE 2022
  15. Kieu Dang Nam, Nguyen Minh Tu, Trinh Van Dieu, Muriel Visani, Nguyen Thi Oanh, Dinh Viet Sang. A Novel Unsupervised Domain Adaption Method for Depth-guided Semantic Segmentation using Coarse-to-fine Alignment. IEEE Access 2022 (ISI Q1)
  16. Nguyen Minh Chau, Le Truong Giang, Dinh Viet Sang. PolypDEQ: Towards Effective Transformer-based Deep Equilibrium Models for Colon Polyp Segmentation. ISVC 2022
  17. 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 2022
  18. Nguyen Thanh Duc, Nguyen Thi Oanh, Nguyen Thi Thuy, Tran Minh Triet, Dinh Viet Sang. ColonFormer: An Efficient Transformer Based Method for Colon Polyp Segmentation. IEEE Access, vol. 10, pp. 80575-80586, 2022 (ISI Q1)
  19. Toan Pham Van, Sang Dinh Viet, Linh Bao Doan, Thanh Tung Nguyen, Quang Hung Nguyen, Duc Trung Tran. Improve polyp semi-supervised segmentation with prioritizing the reliability of unlabeled images. ICSIE, 2022.
  20. 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. In: Proceedings of the 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), 2022.
  21. 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, Vol. 10, 2022, pp. 43669 - 43684 (ISI Q1)
  22. Nguyen Viet Hoai, Phan Huy Hoang, Doan Bao Linh, Dinh Viet Sang. An End-to-End Spatial-Aware Attention Method for Multi-Line License Plate Spotting. An End-to-End Spatial-Aware Attention Method for Multi-Line License Plate Spotting. In The 5th International Conference on Future Networks & Distributed Systems (ICFNDS 2021)
  23. Dinh Viet Sang, Lam Xuan Thu: FastTacotron: A Fast, Robust and Controllable Method for Speech Synthesis. In: Proceedings of the MAPR (2021)
  24. Lan, P.N., An, N.S., Hang, D.V., Long, D.V., Trung, T.Q., Thuy, N.T., Sang, D.V.. NeoUnet: Towards accurate colon polyp segmentation and neoplasm detection. In: Proceedings of the 16th International Symposium on Visual Computing (2021)
  25. 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
  26. Nguyen Ba Hung, Nguyen Thanh Duc, Thai Van Chien, Dinh Viet Sang. AG-ResUNet++: An improved encoder-decoder based method for polyp segmentation in colonoscopy images. RIVF 2021
  27. In Seop Na, Chung Tran, Dung Nguyen, Sang Dinh. Facial UV Map Completion for Pose-invariant Face Recognition: A Novel Adversarial Approach based on Coupled Attention Residual UNets. Human-centric Computing and Information Sciences 2020 (ISI Q1).
  28. Dinh Viet Sang, Nguyen Hoang Thuan. An EfficientNet-Like Feature Extractor and Focal CTC Loss for Image-Base Sequence Recognition . NICS 2020.
  29. Tran Phuong Nam, Dinh Viet Sang. A Pose Estimation Method for Multiple Identity Cards Based on Corner Heatmaps and Part Affinity Fields . NICS 2020.
  30. Nguyen Thanh Hau, Le Cong Hau, 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.
  31. Tran Thi Thanh Hai, Nguyen Tien Hai, Dinh Viet Sang. Significant Trajectories and Locality Constrained Linear Coding for Hand Gesture Representation . IEEE ICCE 2020.
  32. Nguyen Thanh Dat, Nguyen Dang Tuan Anh, Dinh Viet Sang. PCA-based 3D Facial Reenactment From Single Image. MAPR 2020.
  33. Tran Quang Chung, Hoang Cao Huyen, Dinh Viet Sang. A Novel Generative Model to Synthesize Face Images for Pose-invariant Face Recognition. MAPR 2020.
  34. Dinh Viet Sang, Jaesun Lee, OS Lee. An approach to detect missing IRIS plate in smart phone lens assembly. ICONI 2019.
  35. Dinh Viet Sang, Le Tran Bao Cuong. Improving CRNN with EfficientNet-like feature extractor and multi-head attention for text recognition. SoICT 2019, pp 285-290
  36. Dinh Viet Sang, Duong Viet Hung. YOLOv3-VD: A sparse network for vehicle detection using variational dropout. SoICT 2019, pp 280-284
  37. Dinh Viet Sang, Phan Ngoc Lan. BK.Synapse: A scalable distributed training framework for deep learning. SoICT 2019, pp. 43-48.
  38. 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. The 5th Asian Conference on Pattern Recognition ACPR 2019
  39. Pham Cong Thang, Tran Thi Thu Thao, Phan Tran Dang Khoa, Dinh Viet Sang, Pham Minh Tuan, Nguyen Minh Hieu. An adaptive algorithm for restoring image corrupted by mixed noise. Cybernetics and physics, Vol. 8, No. 2. 2019, 73–82 (ISI).
  40. Dinh Viet Sang, Ouseb Lee. Fully Convolutional Densely Connected Network with Multiple Input Data Channels for Aerial Image Segmentation. ICONI 2018.
  41. Dinh Viet Sang, Nguyen Duc Minh. Fully Residual Convolutional Neural Networks for Aerial Image Segmentation. SoICT 2018, pp 289-296
  42. Dinh Viet Sang, Hoang Trung Dung. Two-stream Deep Residual Learning with Fisher Criterion for Human Action Recognition. SoICT 2018, pp 297-304
  43. Dinh Viet Sang, Dang Manh Cuong and Le Tran Bao Cuong. An Effective Ensemble Deep Learning Framework for Malware Detection. SoICT 2018, pp 192-199
  44. Dinh Viet Sang, Le Tran Bao Cuong, Effective Deep Multi-source Multi-task Learning Frameworks for Smile Detection, Emotion Recognition and Gender Classification, Informatica, Vol. 42, No. 3, 2018, pp 345–356 (SCOPUS, ESCI)
  45. Dinh Viet Sang, Le Tran Bao Cuong, Pham Thai Ha, Discriminative Deep Feature Learning for Facial Emotion Recognition, MAPR 2018, pp. 1-6
  46. Trinh Anh Phuc, Dinh Viet Sang, Heuristic algorithm for extracting a subset of maximal cliques inside graphs, Journal of Science and Technology 2017 (accepted)
  47. Dinh Viet Sang, Le Tran Bao Cuong, Vu Van Thieu, Multi-task learning for smile detection, emotion recognition and gender classification, SoICT 2017, pp. 340-347
  48. Thuy Nguyen Thi, Dinh Viet Sang, Quang Nguyen Tien and Thi Thanh Binh Huynh, Semantic Segmentation of Objects from Airborne Imagery, The Fourth Asia Conference on Defense Technology, Japan (ACDT 2017), pp. 1-6
  49. Xuan Cuong Pham, Manh Truong Dang, Sang Viet Dinh , Son Hoang, Tien Thanh Nguyen, Alan Wee-Chung Liew, Learning from Data Stream Based on Random Projection and Hoeffding Tree Classifier, The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017), pp. 1-8
  50. Dinh Viet Sang, Le Tran Bao Cuong, Do Phan Thuan, Facial Smile Detection Using Convolutional Neural Networks, KSE 2017, pp. 136-141
  51. Dinh Viet Sang, Nguyen Van Dat, Do Phan Thuan, Facial Recognition Using Deep Convolutional Neural Networks, KSE 2017, pp. 130-135
  52. Dao Duy Son, Dinh Viet Sang, Huynh Thi Thanh Binh, Nguyen Thi Thuy, Label associated dictionary pair learning for face recognition, SoICT 2016, pp. 302-307
  53. Dang N. H. Thanh, Dinh V. Sang , Dvoenko Sergey, Colour image denoising based on a combined model, SoICT 2016, pp. 308-315
  54. Thanh N. H. Dang, Dvoenko Sergey D., Dinh Viet Sang, A Mixed Noise Removal Method Based on Total Variation, Informatica 2016, pp. 159-167 (SCOPUS, ESCI)
  55. Nguyen Thi Thuy, Dinh Viet Sang, Huynh Thi Thanh Binh, A New Approach for Learning Discriminative Dictionary for Pattern Classification, Journal of Information Science and Engineering, Vol. 32 No. 4, pp. 1113-1127 (July 2016) (SCI-E Index)
  56. Thanh N. H. Dang, Dvoenko Sergey D., Dinh Viet Sang, A Denoising Method Based on Total Variation. SoICT 2015: 223-230
  57. 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
  58. 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
  59. 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
  60. Dvoenko S.D., Sang D.V., Evaluation of parametric acyclic Markov models for dependent objects. Machine Learning and Data Analysis. 2014. V. 1, № 8., pp. 1068 - 1076.
  61. 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. Proc. SoICT 2014, pp. 162-170.
  62. Sang D.V., Algorithms for selecting parameters of combination of acyclic adjacency graphs in the problem of texture image processing. Electronic Letters on Computer Vision and Image Analysis 13(2):35-37, 2014.
  63. Dvoenko S., Sang D., Cross-Validation of Parametric Acyclic Models of Interrelated Objects. Proc. XI International Conference «Pattern Recognition and Image Analysis». 2013, Vol. 1, pp. 177-181.
  64. Dvoenko S.D., Sang D.V., Estimating Parameters of Acyclic Markov Models in Raster Texture Image Segmentation (in Russian). Izvestiya TSU. Technical Sciences. 2013, Vol. 2, pp. 86-95.
  65. Dvoenko S.D., Sang D.V., Raster Texture Image Recognition based on Parametric Acyclic Markov Fields (in Russian). Proc. XXII International conference in Computer Graphic and Vision «GraphiCon-2012». – Moscow: Maks Press, 2012, pp. 139–143.
  66. Dvoenko S.D., Sang D.V., Parametric Acyclic Markov Models in the problem of Interrelated Object Recognition (in Russian). Proc. IX International Conference «Intellectualization of Information Processing». – Moscow: Torus Press, 2012, pp. 18–21.
  67. Dvoenko S.D., Sang D.V., Algorithms for Adjusting Parameters of Combination of Acyclic Adjacency Graphs in the Problem of Texture Image Recognition (in Russian). Izvestiya TSU. Technical Sciences. 2012, Vol. 3, pp. 253-262.
  68. Dvoenko S.D., Sang D.V., Algorithms for Adjusting Parameters of a Tree-like Markov Random Field in the Problem of Raster Texture Image Recognition (in Russian). Izvestiya TSU. Natural Sciences. 2012, Vol. 1, pp. 98-109.
  69. Dvoenko S.D., Savenkov D.S., Sang D.V., Acyclic Markov Models in Analysis of Interrelated Data Array (in Russian). Izvestiya TSU. Natural Sciences. 2010, Vol. 2., pp. 173-185.
  70. Dvoenko S.D., Savenkov D.S., Sang D.V., Combination of Acyclic Adjacency Graphs in the Problem of Markov Random Field Recognition (in Russian). Proc. XIV conference «Mathematical methods for Pattern Recognition». – Moscow: Maks Press, 2009, pp. 441–444.

Last update: 01.30.2024