A5055633927- Remote Sensing and LiDAR Applications
- Advanced Neural Network Applications
- Robotics and Sensor-Based Localization
- 3D Shape Modeling and Analysis
- 3D Surveying and Cultural Heritage
- Inflammasome and immune disorders
- Advanced Vision and Imaging
- interferon and immune responses
- Vibrio bacteria research studies
- Video Surveillance and Tracking Methods
- Kawasaki Disease and Coronary Complications
- Image and Object Detection Techniques
- Aquaculture disease management and microbiota
- Human Pose and Action Recognition
- Computer Graphics and Visualization Techniques
- Robotic Mechanisms and Dynamics
- Cassava research and cyanide
- Robot Manipulation and Learning
- Advanced Algorithms and Applications
- Child Nutrition and Water Access
- Wireless Communication Networks Research
- Industrial Vision Systems and Defect Detection
- Autonomous Vehicle Technology and Safety
- Streptococcal Infections and Treatments
- Blind Source Separation Techniques
Shanghai Institute of Microsystem and Information Technology
2016-2024
State Key Laboratory of Transducer Technology
2021-2024
Chinese Academy of Sciences
2023
Yangzhou University
2020-2022
University of Chinese Academy of Sciences
2017-2021
Vibrio parahaemolyticus is a foodborne pathogen that can colonize the small intestine of host and cause diarrhea. The alternative sigma factor RpoN plays vital role in regulating motility, carbon utilization affects colonization V. RIMD2210633. In this study, transcriptome phenotypic analysis further expanded our understanding regulon parahaemolyticus. A deletion mutant rpoN (ΔrpoN) was subjected to RNA-seq for systemic identification RpoN-controlled genes. Compared with wild-type (WT), 399...
Abstract Pathogens adapted to sub‐lethal acidic conditions could increase the virulence and survival ability under lethal conditions. In aquaculture industry, feed acidifiers have been used growth of aquatic animals. However, there is limited study on effects condition pathogens in aquaculture. this study, we investigated Vibrio parahaemolyticus at pH (4.0) after bacteria (5.5) for 1 hr. Our results indicated that strain increased invoked by an inorganic (HCl) or organic (citric) acid....
Abstract Background Salmonella Enteritidis (SE) is one of the major foodborne zoonotic pathogens worldwide importance which can induce activation NLRC4 and NLRP3 inflammasomes during infection. Given that play an essential role in resisting bacterial infection, has evolved various strategies to regulate inflammasome, most largely remain unclear. Results A transposon mutant library SE strain C50336 was screened for identification potential factors inflammasome activation. We found...
Recent progress in free space estimation provides precise segmentation between the ground and obstacles on flat plane. However, it remains challenging nonflat plane, especially with varying latitudinal longitudinal slope or case of multiground This letter presents a well-integrated framework for this challenge. Our approach couples an improved V-disparity proposed confidence map probabilistic fashion. The representation adopts sliding windows paradigm new filter is designed. represents...
Abstract Jointly performing semantic and instance segmentation of 3D point cloud remains a challenging task. In this work, novel framework called joint semantic‐instance via multi‐scale Semantic Association Salient clustering Optimization was proposed to tackle problem. Inspired by the inherent correlation among objects in space, Multi‐scale (MSA) module explore constructive effect context information for is designed. For instance, segmentation, different from previous works utilising only...
Multiview clustering aims to integrate multiple features from different views benefit the task, which has attracted much attention in recent years. Most previous research focused on exploring multiview with a fixed set of tasks. However, it is still challenging efficiently new tasks, as requires repeated access data. To address above challenges, this letter proposes novel continual spectral model. The proposed model can achieve tasks by transferring accumulated knowledge past while...
3D object detection have achieved significant performance in many fields, e.g., robotics system, autonomous driving, and augmented reality. However, most existing methods could cause catastrophic forgetting of old classes when performing on the class-incremental scenarios. Meanwhile, current neglect relationships between localization information category semantic information, assume all knowledge model is reliable. To address above challenge, we present a novel Incremental Object Detection...
The detection of road and free space remains challenging for non-flat plane, especially with the varying latitudinal longitudinal slope or in case multi-ground plane. In this paper, we propose a framework ground plane stereo vision. main contribution paper is newly proposed descriptor which implemented disparity image to obtain texture image. regions can be distinguished from their surroundings effectively Because local area image, it address well problem And also present complete detect...
Abstract Background: Salmonella Enteritidis (SE) is one of the major foodborne zoonotic pathogens worldwide importance which can induce activation NLRC4 and NLRP3 inflammasomes during infection. Given that play an essential role in resisting bacterial infection, has evolved various strategies to regulate inflammasome, most largely remain unclear.Results: A transposon mutant library SE strain C50336 was screened for identification potential factors inflammasome activation. We found...
By analyzing the law of usage historical spectrum data, prediction can be used to predict future state spectrum. This technology taken jamming signal in communication countermeasure. In order achieve reliable forecast artificial interference channel environment (a with man-made interference), this paper proposes a algorithm based on suffix array, which could guide cognitive users switch between spectrums autonomously. Moreover, radio system is built verify algorithm. Experiments demonstrate...
3D object detection has achieved significant performance in many fields, e.g., robotics system, autonomous driving, and augmented reality. However, most existing methods could cause catastrophic forgetting of old classes when performing on the class-incremental scenarios. Meanwhile, current neglect relationships between localization information category semantic assume all knowledge model is reliable. To address above challenge, we present a novel Incremental Object Detection framework with...
In this paper, a novel approach is proposed for stereo vision-based ground plane detection at superpixel-level, which implemented by employing Disparity Texture Map in convolution neural network architecture. particular, the calculated with new Local Descriptor (LDTD). The experimental results demonstrate our superior performance KITTI dataset.
We propose a novel 3D point cloud segmentation framework named SASO, which jointly performs semantic and instance tasks. For task, inspired by the inherent correlation among objects in spatial context, we Multi-scale Semantic Association (MSA) module to explore constructive effects of context information. different from previous works that utilize clustering only inference procedure, Salient Point Clustering Optimization (SPCO) introduce procedure into training process impel network focusing...
Abstract Background: Salmonella Enteritidis (SE) is one of the major foodborne zoonotic pathogens worldwide importance which can induce activation NLRC4 and NLRP3 inflammasomes during infection. Given that play an essential role in resisting bacterial infection, has evolved various strategies to regulate inflammasome, most largely remain unclear. Results: A transposon mutant library SE strain C50336 was screened for identification potential factors inflammasome activation. We found...