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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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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…

cs.CV2025

View-aware Cross-modal Distillation for Multi-view Action Recognition

Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John +2

The widespread use of multi-sensor systems has increased research in multi-view action recognition. While existing approaches in multi-view setups with fully overlapping sensors be…

cs.CV2025

PADM: A Physics-aware Diffusion Model for Attenuation Correction

Trung Kien Pham, Hoang Minh Vu, Anh Duc Chu +6

Attenuation artifacts remain a significant challenge in cardiac Myocardial Perfusion Imaging (MPI) using Single-Photon Emission Computed Tomography (SPECT), often compromising diag…

cs.CV2025

Q-Adapter: Visual Query Adapter for Extracting Textually-related Features in Video Captioning

Junan Chen, Trung Thanh Nguyen, Takahiro Komamizu +1

Recent advances in video captioning are driven by large-scale pretrained models, which follow the standard "pre-training followed by fine-tuning" paradigm, where the full model is…

cs.CV2025

Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation

Huu Tien Nguyen, Dac Thai Nguyen, The Minh Duc Nguyen +11

Vision-Language Foundation Models (VLMs), trained on large-scale multimodal datasets, have driven significant advances in Artificial Intelligence (AI) by enabling rich cross-modal…

cs.CV2025

MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor Fusion

Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John +2

Multi-modal multi-view action recognition is a rapidly growing field in computer vision, offering significant potential for applications in surveillance. However, current datasets…

cs.CV2025

MultiTSF: Transformer-based Sensor Fusion for Human-Centric Multi-view and Multi-modal Action Recognition

Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John +2

Action recognition from multi-modal and multi-view observations holds significant potential for applications in surveillance, robotics, and smart environments. However, existing me…

cs.CV2024★ 9 cited

Action Selection Learning for Multi-label Multi-view Action Recognition

Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu +1

Multi-label multi-view action recognition aims to recognize multiple concurrent or sequential actions from untrimmed videos captured by multiple cameras. Existing work has focused…

cs.CV2024

One-Stage Open-Vocabulary Temporal Action Detection Leveraging Temporal Multi-scale and Action Label Features

Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu +1

Open-vocabulary Temporal Action Detection (Open-vocab TAD) is an advanced video analysis approach that expands Closed-vocabulary Temporal Action Detection (Closed-vocab TAD) capabi…

cs.CV2022

A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning

Trung Thanh Nguyen, Hoang Dang Nguyen, Thanh Hung Nguyen +3

Medication mistaking is one of the risks that can result in unpredictable consequences for patients. To mitigate this risk, we develop an automatic system that correctly identifies…