A5103184212- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Neuroscience and Neuropharmacology Research
- Video Surveillance and Tracking Methods
- Neurological disorders and treatments
- Photoreceptor and optogenetics research
- 3D Shape Modeling and Analysis
- Tryptophan and brain disorders
- Human Motion and Animation
- Neuroscience and Neural Engineering
- Mesenchymal stem cell research
- Advanced Image Processing Techniques
- Amino Acid Enzymes and Metabolism
- Epilepsy research and treatment
- Diabetic Foot Ulcer Assessment and Management
- EEG and Brain-Computer Interfaces
- Natural Language Processing Techniques
- Aerosol Filtration and Electrostatic Precipitation
- Mast cells and histamine
- Advanced Fluorescence Microscopy Techniques
- BIM and Construction Integration
- Pain Mechanisms and Treatments
- Adsorption and Cooling Systems
- GNSS positioning and interference
- Spectroscopy and Quantum Chemical Studies
Zunyi Medical University
2024-2025
Qilu Hospital of Shandong University
2025
Capital Medical University
2023-2024
NetEase (China)
2023-2024
BGI Group (China)
2024
BGI Research
2024
Soochow University
2024
First Affiliated Hospital of Soochow University
2024
The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital)
2024
Hefei University of Technology
2009-2024
Quantifying spatiotemporal dynamics during embryogenesis is crucial for understanding congenital diseases. We developed Spateo (https://github.com/aristoteleo/spateo-release), a 3D modeling framework, and applied it to mouse atlas at E9.5 E11.5, capturing eight million cells. enables scalable, partial, non-rigid alignment, multi-slice refinement, mesh correction create molecular holograms of whole embryos. It introduces digitization methods uncover multi-level biology from subcellular organ,...
This paper addresses the problem of reconstructing 3D poses multiple people from a few calibrated camera views. The main challenge this is to find cross-view correspondences among noisy and incomplete 2D pose predictions. Most previous methods address by directly reasoning in using pictorial structure model, which inefficient due huge state space. We propose fast robust approach solve problem. Our key idea use multi-way matching algorithm cluster detected all Each resulting encodes same...
Autologous fat grafting (AFG) often needs multiple sessions due to low volume retention. Young adipose tissue demonstrates a more pronounced therapeutic effect; thus, the cryopreservation of young origin is particularly crucial. This study investigated protective effect new solution combining trehalose, glycerol, and metformin on tissue. initially examined various concentrations (0, 1, 2, 4, 8 mM) oxidative damage in identify optimal concentration. Subsequently, 1.5 mL fresh human was...
In this paper, we introduce the new task of reconstructing 3D human pose from a single image in which can see person and person’s through mirror. Compared to general scenarios estimation view, mirror reflection provides an additional view for resolving depth ambiguity. We develop optimization-based approach that exploits symmetry constraints accurate reconstruction. also provide method estimate surface normal vanishing points image. To validate proposed approach, collect large-scale dataset...
Recovering human pose from RGB images and videos has drawn increasing attention in recent years owing to minimum sensor requirements applicability diverse fields such as human-computer interaction, robotics, video analytics, augmented reality. Although a large amount of work been devoted this field, 3D estimation based on monocular or remains very challenging task due variety difficulties depth ambiguities, occlusion, background clutters, lack training data. In survey, we summarize advances...
This paper presents a novel system for generating free-viewpoint videos of multiple human performers from very sparse RGB cameras. The reconstructs layered neural representation the dynamic multi-person scene multi-view with each layer representing moving instance or static background. Unlike previous work that requires segmentation as input, approach is proposed to decompose into layers and reconstruct representations in weakly-supervised manner, yielding both high-quality view rendering...
Despite various probabilistic methods for modeling the uncertainty and ambiguity in human mesh recovery, their overall precision is limited because existing formulations joint rotations are either not constrained to SO(3) or difficult learn neural networks. To address such an issue, we derive a novel analytical formulation learning posterior probability distributions of conditioned on bone directions Bayesian manner, based this, propose new posterior-guided framework recovery. We demonstrate...
Abstract The real‐time location of construction‐related entities is some the most useful basic information for automated construction management. However, implementation existing localization methods limited due to weak adaptability sites. In this paper, we enhance monocular vision technique by a sematic and prior knowledge‐based method. A deep learning algorithm employed segment instance in images, then knowledge model specifies projection strategies corresponding various scenarios. Results...
The present study was designed to determine whether low-frequency stimulation (LFS) of the entorhinal cortex(EC) has an anticonvulsive effect, and LFS delivered at different times plays roles. We found that EC immediately or 4 s after kindling had latter a better effect on both kindled seizures. However, cessation afterdischarge 10 stimulation, augmented epileptic activity. So is potential target for interfere with epilepsy. Our findings suggest even in duration afterdischarge, there exists...
Scene completion and forecasting are two popular perception problems in research for mobile agents like autonomous vehicles. Existing approaches treat the isolation, resulting a separate of aspects. In this paper, we introduce novel LiDAR task Occupancy Completion Forecasting (OCF) context driving to unify these aspects into cohesive framework. This requires new algorithms address three challenges altogether: (1) sparse-to-dense reconstruction, (2) partial-to-complete hallucination, (3)...
Visceral fat accumulation and obesity-induced chronic inflammation have been proposed as early markers for multiple disease states, especially in women. Nevertheless, the potential impact of distribution on α1-acid glycoprotein(AGP), a marker inflammation, remains unclear. This research was conducted to investigate relationships among obesity, distribution, AGP levels. A cross-sectional observational study performed using blood samples from adult females recruited through National Health...
Reduction of glutamine synthetase (GS) function is closely related to established epilepsy, but little known regarding its role in epileptogenesis. The present study aimed elucidate the functional changes GS brain and involvement epileptogenesis using amygdala kindling model epilepsy induced by daily electrical stimulation basolateral rats. Both expression activity ipsilateral dentate gyrus (DG) were upregulated when kindled seizures progressed stage 4. A single dose L-methionine sulfoximine...
Summary Aim To investigate the effect of chronic H 1‐antihistamine treatment on seizure susceptibility after drug withdrawal in nonepileptic rats and to further study its relation glutamine synthetase ( GS ), which is key enzyme for glutamate metabolism gamma aminobutyric acid GABA ) synthesis. Methods After from a 2‐week with diphenhydramine or pyrilamine, was determined by amygdaloid kindling pentylenetetrazol model; meanwhile, expression activity analyzed. The glutamine, glutamate,...
This work proposes a real-time algorithm for reconstructing 3D human poses in crowded scenes from multiple calibrated views. The key challenge of this problem is to efficiently match 2D observations across Previous methods perform multi-view matching either at the full-body level, which sensitive pose estimation error, or part ignores constraints between different types body parts same view. Instead, our approach reasons about all plausible skeleton proposals during matching, where each may...
Recent advances in implicit neural representations make it possible to generate free-viewpoint videos of the human from sparse view images. To avoid expensive training for each person, previous methods adopt generalizable model and demonstrate impressive results. However, these usually rely on limited multi-view images typically collected studio or commercial high-quality 3D scans training, which heavily prohibits their generalization capability in-the-wild solve this problem, we propose a...
Summary Aims To explore the role of histamine in acute pain perception and its possible mechanisms. Methods Pain‐like behaviors induced by four types noxious stimuli (hot‐plate, tail‐pressure, acetic acid, formalin) were accessed mice. Na v 1.8 expression functions primary afferent neurons compared between histidine decarboxylase knockout ( HDC −/− ) mice their wild‐types. Results mice, lacking endogenous histamine, showed elevated sensitivity to all these stimuli, as with In addition, a...