12 papers
PRIMS: Physics-guided Representation for Fluid Identification in Multimodal Sensing
Hai-Long Nguyen, Trung Thanh Nguyen, Lars Holm +2
Accurate on-device fluid identification is essential for microfluidic applications, yet maintaining reliability under varying flow, pressure, and temperature remains a key challeng…
Cross4D-JEPA: Dense Cross-modal Correspondence Distillation for 4D Point Cloud Representation Learning
Trung Thanh Nguyen, Hai Nguyen-Truong, Tu Vo +2
Automatic understanding of dynamic 4D point clouds, the 3D-point sequences captured over time by depth sensors and LiDAR, is central to robotics and embodied perception. Yet annota…
SelectAnyTree: A Promptable Instance Segmentation Model for 3D Forest LiDAR Point Clouds
Trung Thanh Nguyen, Daniel Lusk, Kilian Gerberding +10
Automated instance segmentation of forest LiDAR point clouds is increasingly critical as forest monitoring moves toward scalable, detailed, 3D measurement. Yet, progress is constra…
TraRA: Trajectory-level Recognition Aggregation for Video Text Spotting in Urban Surveillance
Duc Tri Tran, Trung Thanh Nguyen, Vijay John +2
Video Text Spotting (VTS) is essential for urban surveillance and intelligent transportation systems, enabling automated reading of street signs, vehicle markings, and scene text i…
ForestMamba: Sparse Mamba with Geometry-guided Queries for 3D Forest Point Cloud Segmentation
Trung Thanh Nguyen, Tuan-Anh Vu, Duc Viet Le +4
Semantic and instance segmentation of terrestrial and drone LiDAR point clouds is emerging as a transformative approach for converting the complex 3D structure of forests into acti…
ChronoSC: Task-Oriented Semantic Communication via Temporal-to-Color Encoding
Phuc H. Nguyen, Trung T. Nguyen, Quy N. Duong +1
Semantic communication (SC) aims to reduce transmission overhead by conveying task-relevant information rather than raw data. However, existing SC approaches for video largely focu…