7.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Kiet Van Nguyen3 profiles21 · h 21
- N. Nguyen17 · h 22
- Son T. Luu2 profiles17 · h 10
- Nguyen Tri Toan Phuc2 profiles14 · h 4
- Quan M. Nguyen13 · h 9
- Trung-Nghia Le2 profiles12 · h 17
- Minh-Triet Tran3 profiles9 · h 11
- Tam V. Nguyen2 profiles9 · h 30
- A. Peleg8 · h 15
- Dieu D. Nguyen8 · h 13
- M. Tran2 profiles8 · h 24
- Phong Quoc Vo8 · h 2
- Ho Chi Minh City University of ScienceVN125 papers
- Ho Chi Minh City University of TechnologyVN29 papers
- Ho Chi Minh City International UniversityVN26 papers
- Ho Chi Minh City University of EducationVN14 papers
- Vietnam Academy of Science and TechnologyVN14 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- The University of TokyoJP10 papers
- Institute for Nuclear Science and TechnologyVN9 papers
- University of DaytonUS9 papers
- Vietnam National University, HanoiVN9 papers
- Tohoku UniversityJP8 papers
- Ton Duc Thang UniversityVN8 papers
5 papers · 2 filters
Computer Vision by YOLOs for Detection of Major Diseases in Vietnamese Custard Apple Using Fruit Imagery
Tri Nhut Do, Quoc Tuan Vo
Amid Vietnam rapid digital transformation in agriculture, the integration of artificial intelligence technologies for identifying, monitoring, and predicting crop pests and disease…
Vision And Text Transformer For Predicting Answerability On Visual Question Answering
Tung Le, Huy Tien Nguyen, Le Minh Nguyen
Answerability on Visual Question Answering is a novel and attractive task to predict answerable scores between images and questions in multi-modal data. Existing works often utiliz…
VietFashion: Benchmarking Sketch-Text Composed Image Retrieval for Cultural Outfits
Hoang-Nguyen Cao, Le-Hoang Bui, Dinh-Khoi Vo +2
Cultural garments pose a unique challenge for visual retrieval systems, as their identity often depends on subtle structural and symbolic details that are poorly captured by standa…
TwinMixing: A Shuffle-Aware Feature Interaction Model for Multi-Task Segmentation
Minh-Khoi Do, Huy Che, Dinh-Duy Phan +2
Accurate and efficient perception is essential for autonomous driving, where segmentation tasks such as drivable-area and lane segmentation provide critical cues for motion plannin…
R&D: Balancing Reliability and Diversity in Synthetic Data Augmentation for Semantic Segmentation
Huy Che, Dinh-Duy Phan, Duc-Khai Lam
Collecting and annotating datasets for pixel-level semantic segmentation tasks are highly labor-intensive. Data augmentation provides a viable solution by enhancing model generaliz…