A5005411370- Advanced Neural Network Applications
- Adversarial Robustness in Machine Learning
- Advanced Image and Video Retrieval Techniques
- Domain Adaptation and Few-Shot Learning
- Transition Metal Oxide Nanomaterials
- Metamaterials and Metasurfaces Applications
- Robotics and Sensor-Based Localization
- Visual Attention and Saliency Detection
- Gaze Tracking and Assistive Technology
- Sleep and Work-Related Fatigue
- Thermal Radiation and Cooling Technologies
- Emotion and Mood Recognition
Yangtze University
2024
Northeastern University
2022-2024
Neusoft (China)
2019-2024
Detection based on LiDAR and camera fusion is increasingly popular for researchers in the autonomous driving domain. Compared to camera-only LiDAR-only methods, fusion-based methods indeed improve detection accuracy public-available datasets. However, due complexity of projection or mechanism, few these can run real-time even an advanced desktop GPU. Thus, this paper, we propose a new model G-Fusion with light fast image view-transform module. According our receptive field analysis feature...
A novel method for the eight most common driver’s distraction actions recognition is presented in this paper. To end, a semi-cascade network (SCN) with very lightweight architecture designed. The approach recognizes morphology of human face and hands to make judgments about rather than just judging facial information. In order subdivide similar actions, SCN structure which effectively reduces network’s scale employed. joint training proposed achieving 95.61% accuracy. addition, verify...
Object detection, which is one of the most fundamental visual recognition tasks, has been a hotspot in computer vision. CNN (Convolutional Neural Networks) have widely employed for building detector. Due to success RPN (Region Proposal Network), two-stage detectors get both classification accuracy and precise regression bounding boxes. However, they still struggle small-size object detection. In this paper, we present deep network, namely Spatial Fine-Grained Network (SFGN). The SFGN that...
The device achieves perfect absorption and polarization insensitivity. It has a good response to the temperature change in certain range.