1 code implementation • 18 Mar 2025 • Huy-Hoang Bui, Bach-Thuan Bui, Quang-Vinh Tran, Yasuyuki Fujii, Joo-Ho Lee
While state-of-the art methods that relies on feature matching have proven to be accurate for visual localization, its requirements for storage and compute are burdens.
1 code implementation • 28 Feb 2025 • Bach-Thuan Bui, Huy-Hoang Bui, Yasuyuki Fujii, Dinh-Tuan Tran, Joo-Ho Lee
To this end, we introduce a new architecture that learns to prioritize each feature independently before combining them for localization.
1 code implementation • 15 Mar 2024 • Huy-Hoang Bui, Bach-Thuan Bui, Dinh-Tuan Tran, Joo-Ho Lee
Classical structural-based visual localization methods offer high accuracy but face trade-offs in terms of storage, speed, and privacy.
1 code implementation • 28 Feb 2024 • Bach-Thuan Bui, Huy-Hoang Bui, Dinh-Tuan Tran, Joo-Ho Lee
Recent advancements in visual localization and mapping have demonstrated considerable success in integrating point and line features.
1 code implementation • 28 Jul 2023 • Bach-Thuan Bui, Huy-Hoang Bui, Dinh-Tuan Tran, Joo-Ho Lee
In this study, we propose a direct learning-based approach that utilizes a simple network named D2S to represent complex local descriptors and their scene coordinates.