6 citations · 8 across the 33 of their papers we have counts for
34 papers
Developing an OCR model for Extracting Information from Invoices with Korean Language
Xiem HoangVan, Phu TranQuang, Minh DinhBao +1
Invoices are commercial documents that contain various pieces of information, including the purchased items, time, and total money. Making the extraction of important information c…
Development of a Humanoid Robot Prototype for Multimodal Human-Robot Interaction
Thang Tran Viet, Thanh Nguyen Canh, Huy Uong Gia +4
Human-robot interaction (HRI) enables intuitive and intelligent collaboration between humans and robots in real-world environments. This paper introduces a humanoid robot prototype…
Multi-View Reflective Surface Inspection via Semantic-Saliency Cross-Verification
Van-Giang Nguyen, Thanh-Tuan Tran, Xuan-Hieu Phan +1
Reflective smartphone cover glass is challenging to inspect from a single fixed viewpoint because defect visibility varies with viewing geometry and specular reflections. This give…
MDFI: A Multi-Domain Features Integration for Compressed Video Quality Enhancement
Sang NguyenQuang, Hieu Bui Minh, Dang BuiDinh +1
The latest video coding standard, H.266/VVC, has demonstrated significant improvements in compression efficiency compared to H.265/HEVC. Despite its advanced coding techniques, H.2…
Efficient Continuous Semantic Mapping based on Spatio-Temporal Awareness
My Le Pham, Dinh Trieu Duong, Xiem HoangVan +1
Continuous semantic mapping allows autonomous robots to understand both the spatial structure and the semantic content of complex environments. However, most existing methods proce…
Semantic-Aware Autonomous Exploration for UAVs in Unknown Indoor Environments
Duc-Thien Nguyen, Ngoc Minh Do, Xiem HoangVan +1
Autonomous exploration in unknown environments requires unmanned aerial vehicles (UAVs) to efficiently generate informative trajectories while simultaneously constructing accurate…
Decoupled Object-Centric Video Understanding for Generating Robotic Manipulation Commands
Thanh Nguyen Canh, Thanh-Tuan Tran, Haolan Zhang +3
Translating video demonstrations into executable robot commands remains challenging because existing methods often fail to identify which objects are functionally involved in the d…
BPDA-GMM: Bayesian Probabilistic Data Association via Gaussian Mixture Models for Semantic SLAM
Thanh Nguyen Canh, Haolan Zhang, Xiem HoangVan +2
Probabilistic data association (PDA) improves semantic SLAM in perceptually aliased scenes, but existing methods often assume a fixed landmark set, recompute association weights as…
WaveSync: Constrained Wavefront Optimization for Synchronized Co-Speech Gestures in Humanoid Robots
Thang Tran Viet, Thanh Nguyen Canh, Gia Huy Uong +4
Expressive co-speech gestures are crucial for natural human--robot interaction, yet generating them on physical humanoid robots remains challenging because, unlike virtual avatars,…
OSDAG: Online Scheduling for Efficient Multi-Robot Collaboration
Thanh Nguyen Canh, Thang Tran Viet, Phuc Van Dinh +2
Coordinating heterogeneous multi-robot systems (MRS) for complex, long-horizon tasks requires both flexible high-level reasoning and efficient execution-time scheduling. Existing L…
Hybrid TD3: Overestimation Bias Analysis and Stable Policy Optimization for Hybrid Action Space
Thanh-Tuan Tran, Thanh Nguyen Canh, Nak Young Chong +1
Reinforcement learning in discrete-continuous hybrid action spaces presents fundamental challenges for robotic manipulation, where high-level task decisions and low-level joint-spa…
Human-to-Robot Interaction: Learning from Video Demonstration for Robot Imitation
Thanh Nguyen Canh, Thanh-Tuan Tran, Haolan Zhang +3
Learning from Demonstration (LfD) offers a promising paradigm for robot skill acquisition. Recent approaches attempt to extract manipulation commands directly from video demonstrat…
Neural B-Frame Coding: Tackling Domain Shift Issues with Lightweight Online Motion Resolution Adaptation
Sang NguyenQuang, Xiem HoangVan, Wen-Hsiao Peng
Learned B-frame codecs with hierarchical temporal prediction often encounter the domain-shift issue due to mismatches between the Group-of-Pictures (GOP) sizes for training and tes…
A Survey on Collaborative SLAM with 3D Gaussian Splatting
Phuc Nguyen Xuan, Thanh Nguyen Canh, Huu-Hung Nguyen +2
This survey comprehensively reviews the evolving field of multi-robot collaborative Simultaneous Localization and Mapping (SLAM) using 3D Gaussian Splatting (3DGS). As an explicit…
Semantic Visual Simultaneous Localization and Mapping: A Survey on State of the Art, Challenges, and Future Directions
Thanh Nguyen Canh, Haolan Zhang, Xiem HoangVan +1
Semantic Simultaneous Localization and Mapping (SLAM) is a critical area of research within robotics and computer vision, focusing on the simultaneous localization of robotic syste…
Compressed Video Quality Enhancement: Classifying and Benchmarking over Standards
Xiem HoangVan, Dang BuiDinh, Sang NguyenQuang +1
Compressed video quality enhancement (CVQE) is crucial for improving user experience with lossy video codecs like H.264/AVC, H.265/HEVC, and H.266/VVC. While deep learning based CV…
IRAF-SLAM: An Illumination-Robust and Adaptive Feature-Culling Front-End for Visual SLAM in Challenging Environments
Thanh Nguyen Canh, Bao Nguyen Quoc, Haolan Zhang +3
Robust Visual SLAM (vSLAM) is essential for autonomous systems operating in real-world environments, where challenges such as dynamic objects, low texture, and critically, varying…
ESRPCB: an Edge guided Super-Resolution model and Ensemble learning for tiny Printed Circuit Board Defect detection
Xiem HoangVan, Dang Bui Dinh, Thanh Nguyen Canh +1
Printed Circuit Boards (PCBs) are critical components in modern electronics, which require stringent quality control to ensure proper functionality. However, the detection of defec…
A Rate-Quality Model for Learned Video Coding
Sang NguyenQuang, Cheng-Wei Chen, Xiem HoangVan +1
Learned video coding (LVC) has recently achieved superior coding performance. In this paper, we model the rate-quality (R-Q) relationship for learned video coding by a parametric f…
Enhancing Quality for VVC Compressed Videos with Omniscient Quality Enhancement Model
Xiem HoangVan, Hieu Bui Minh, Sang NguyenQuang +1
The latest video coding standard H.266/VVC has shown its great improvement in terms of compression performance when compared to its predecessor HEVC standard. Though VVC was implem…
Flight Time Improvement Using Adaptive Model Predictive Control for Unmanned Aerial Vehicles
Huy-Hoang Ngo, Thanh Nguyen Canh, Xiem HoangVan
Intelligent aerial platforms such as Unmanned Aerial Vehicles (UAVs) are expected to revolutionize various fields, including transportation, traffic management, field monitoring, i…
Quadrotor Trajectory Tracking Using Linear and Nonlinear Model Predictive Control
Thanh Nguyen Canh, Huy-Hoang Ngo, Anh Viet Dang +1
Accurate trajectory tracking is an essential characteristic for the safe navigation of a quadrotor in cluttered or disturbed environments. In this paper, we present in detail two s…
Enhancing Depth Image Estimation for Underwater Robots by Combining Image Processing and Machine Learning
Quang Truong Nguyen, Thanh Nguyen Canh, Xiem HoangVan
Depth information plays a crucial role in autonomous systems for environmental perception and robot state estimation. With the rapid development of deep neural network technology,…
Development of a Human-Robot Interaction Platform for Dual-Arm Robots Based on ROS and Multimodal Artificial Intelligence
Thanh Nguyen Canh, Ba Phuong Nguyen, Hong Quan Tran +1
In this paper, we propose the development of an interactive platform between humans and a dual-arm robotic system based on the Robot Operating System (ROS) and a multimodal artific…