A5073937678- Image and Video Quality Assessment
- Robot Manipulation and Learning
- Advanced Vision and Imaging
- Robotics and Sensor-Based Localization
- Video Coding and Compression Technologies
- Network Traffic and Congestion Control
- Human Pose and Action Recognition
- Multimedia Communication and Technology
- Industrial Vision Systems and Defect Detection
- Video Surveillance and Tracking Methods
- Caching and Content Delivery
- Image Enhancement Techniques
- Gaze Tracking and Assistive Technology
- Neuroscience and Neural Engineering
- Anomaly Detection Techniques and Applications
- Visual Attention and Saliency Detection
- Hand Gesture Recognition Systems
- Reinforcement Learning in Robotics
- Advanced Computing and Algorithms
- Tactile and Sensory Interactions
- Advanced Wireless Network Optimization
- Face recognition and analysis
- Domain Adaptation and Few-Shot Learning
- EEG and Brain-Computer Interfaces
- Advanced Neural Network Applications
Shibaura Institute of Technology
2016-2025
Assessing the impact of digital transformation in fundamental areas higher education at a specific university, i.e., Hanoi University Science and Technology (HUST) will show us readiness for university. Therefore, this paper, we deeply analyze characteristics typical model university (University 4.0) to identify criteria be surveyed assessment availability HUST process. The analysis survey results, thereby, discloses effects achieved by practical implementation solutions HUST. results study...
Accurate detection and estimation of pallet poses from color depth data (RGB-D) are integral components many in advanced warehouse intelligent systems. State-of-the art object pose methods follow a two-stage process, relying on off-the-shelf segmentation or the initial stage subsequently predicting objects using cropped images. The patches may include both target irrelevant information, such as background other objects, leading to challenges handling pallets settings with heavy occlusions...
Industrial anomaly detection involves identifying abnormal regions in products and plays a crucial role quality inspection. While 2D image-based has been extensively explored, combining two-dimensional (2D) images with three-dimensional (3D) point clouds remains less studied. Existing multimodal methods often combine features from different modalities, leading to feature interference degraded performance. To overcome this, we propose novel framework for unsupervised industrial that leverages...
In video streaming services, predicting the continuous user's quality of experience (QoE) plays a crucial role in delivering high contents to user.However, complexity caused by temporal dependencies QoE data and non-linear relationships among influence factors has introduced challenges prediction.To deal with that, existing studies have utilized Long Short-Term Memory model (LSTM) effectively capture such complex dependencies, resulting excellent prediction accuracy.However, computational...
Computer vision plays a significant role in mobile robot navigation due to the wealth of information extracted from digital images. Mobile robots localize and move intended destination based on captured Due complexity environment, obstacle avoidance still requires complex sensor system with high computational efficiency requirement. This study offers real-time solution problem extracting corridor scenes single image using lightweight semantic segmentation model integrating quantization...
Hand-object configuration recovery is an important task in computer vision. The estimation of pose and shape for both hands objects during interactive scenarios has various applications, particularly augmented reality, virtual or imitation-based robot learning. problem challenging when the hand interacting with environment, as this setting features extreme occlusions non-trivial deformations. While existing works treat estimating configurations (that parameters) isolation from parameters...
The task of object pose estimation in computer vision heavily relies on both color (RGB) and depth (D) images to provide crucial appearance geometric information, assisting algorithms understanding occlusions geometry, thereby enhancing accuracy. However, the dependency specialized sensors capable capturing poses challenges terms cost availability. Consequently, researchers are exploring methods estimate solely from RGB images. Nevertheless, this approach encounters difficulties handling...
This paper addresses the formidable challenge of enabling autonomous navigation in Mobile Robots (MRs), focusing on development advanced path planning strategies. Despite their pivotal role diverse applications, they face challenges dynamic settings due to limitation existing Global Path Planning (GPP) and Local (LPP) techniques. In response this, we propose an innovative hybrid approach that enhances A* algorithm with a risk-aware heuristic function integrates Jump Point Search (JPS)...
Adaptive Educational Hypermedia Systems (AEHS) play a crucial role in supporting adaptive learning and immensely outperform learner-control based systems. AEHS’ page indexing hyperspace rely mostly on navigation supports which provide the learners with user-friendly interactive environment. Such AEHS features systems unique ability to adapt learners’ preferences. However, obtaining timely accurate information for their decision-making process is still challenge due dynamic understanding of...
Grasp detection plays a pivotal role in robotic manipulation, allowing robots to interact with and manipulate objects their surroundings. Traditionally, this has relied on three-dimensional (3D) point cloud data acquired from specialized depth cameras. However, the limited availability of such sensors real-world scenarios poses significant challenge. In many practical applications, operate diverse environments where obtaining high-quality 3D may be impractical or impossible. This paper...
Digital audio–tactile maps (DATMs) on touchscreen devices provide valuable opportunities for people who are visually impaired (PVIs) to explore the spatial environment engaging in travel activities. Existing solutions DATMs usually require extensive training PVIs understand feedback mechanism. Due shortage of human resources specialists, as well PVIs’ desire frequent practice maintain their usage skills, it has become challenging widely adopt real life. This paper discusses use large...
The growing demand on video streaming services increasingly motivates the development of a reliable and accurate models for assessment Quality Experience (QoE). In this duty, human-related factors which have significant influence QoE play crucial role. However, complexity caused by multiple effects those human perception has introduced challenges contemporary studies. paper, we inspect impact factors, namely perceptual memory effect, degree interest. Based our investigation, novel model is...
Educational systems aim to help students discover their talents and develop a passion for learning.Hence, it is supposed that the education facilitate efforts motivate students.Hence, crucial model students' motivation such in concerned educational system.However, date, there are limited number of works reporting on this area.In light, most previous have showed evaluated only by test scores, not attitudes or behaviors.On other hand, companies modeled based employees' behaviors as explained...
Phosphene is a phenomenon that human can perceive flash of light in the brain when human's visual pathway stimulated electrically or magnetically. Therefore, blind people also phosphenes even though their crystalline lenses are not functioning. There great hopes be used as information for walking support system people. However, induction mechanism has yet been clarified since conventional theory inconsistent with real experimental results terms perceived position. In this paper, new...
Continuous monitoring of quality experience (QoE) has increasingly become an important mechanism in quantifying the user's satisfaction over video streaming services. Such requires approaches with ability to model complex temporal dependencies and time-varying characteristics QoE. Long-Short Term Memory (LSTM) related carried out by recent research efforts have shown highly potential results since they can leverage past events occurring during a session. However, unidirectional LSTM...