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20222026
most citedFuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing

14 citations · 32 across the 17 of their papers we have counts for

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Showing 2026 · cs.CVShow all

5 papers · 2 filters

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

SelectAnyTree: A Promptable Instance Segmentation Model for 3D Forest LiDAR Point Clouds

Trung Thanh Nguyen, Daniel Lusk, Kilian Gerberding +10

Instance segmentation of trees in forest LiDAR point clouds is constrained by label scarcity: A single hectare holds millions of points and hundreds of overlapping tree crowns, mak…

cs.CV2026

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…

cs.CV2026

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…