A5101143051- Electrocatalysts for Energy Conversion
- 3D Shape Modeling and Analysis
- Coastal and Marine Dynamics
- Computer Graphics and Visualization Techniques
- Wave and Wind Energy Systems
- 3D Surveying and Cultural Heritage
- Nanomaterials for catalytic reactions
- Advanced Vision and Imaging
- Fluid Dynamics Simulations and Interactions
- Glioma Diagnosis and Treatment
- Pituitary Gland Disorders and Treatments
- Catalytic Processes in Materials Science
- Fuel Cells and Related Materials
- Advanced Neural Network Applications
- Forensic Anthropology and Bioarchaeology Studies
- Advanced battery technologies research
- Electrochemical Analysis and Applications
- Robot Manipulation and Learning
- Metal-Organic Frameworks: Synthesis and Applications
- Catalysis and Hydrodesulfurization Studies
- Radiomics and Machine Learning in Medical Imaging
- Urban Heat Island Mitigation
- Layered Double Hydroxides Synthesis and Applications
- Space Satellite Systems and Control
- Water Quality Monitoring and Analysis
Chongqing Jiaotong University
2022-2025
Sun Yat-sen University
2020-2025
Lanzhou Petrochemical Polytechnic
2021-2023
Merchants Chongqing Communications Research and Design Institute
2023
Shenzhen Institutes of Advanced Technology
2020
Beijing University of Chemical Technology
2017-2019
Shenzhen Bao'an District People's Hospital
2019
Xiamen University
2019
Recently, unsupervised domain adaptation in satellite pose estimation has gained increasing attention, aiming at alleviating the annotation cost for training deep models. To this end, we propose a self-training framework based on domain-agnostic <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">geometrical constraints</i> . Specifically, train neural network to predict 2D keypoints of and then use PnP estimate pose. The poses target samples are...
3D scene generation conditioned on text prompts has significantly progressed due to the development of 2D diffusion models. However, textual description scenes is inherently inaccurate and lacks fine-grained control during training, leading implausible generation. As an intuitive feasible solution, layout allows for precise specification object locations within scene. To this end, we present a text-to-scene method (namely, Layout2Scene) using additional semantic as prompt inject positions....
Semantic instance completion aims to recover the complete 3D shapes of foreground objects together with their labels from a partial 2.5D scan scene. Previous works have relied on full supervision, which requires ground-truth annotations, in form bounding boxes and objects. This has greatly limited real-world application because acquisition data is very costly time-consuming. To address this bottleneck, we propose Weakly-Supervised Instance Completion Network (WSSIC-Net), learns point cloud...
This paper proposes a dual-stream 3D space-time convolutional neural network action recognition framework. The original depth map sequence data is set as the input in order to study global characteristics of each category. high correlation within human itself considered time domain, and then deep motion introduced another stream network. Furthermore, corresponding skeleton third whole Although has advantage including information, it also confronted with problems existence rate change,...
At present, box-girder superstructures are commonly used in coastal bridges, and their hydrodynamic performance under extreme waves such as tsunamis has attracted a lot of attention. There is lack research focusing on the effect lateral restraining stiffness wave condition. In this paper, two-dimensional numerical model based RANS equation SST k-ω turbulence established. Combined with dynamic mesh updating technique, superstructure characteristics movable solitary were investigated. To...
Novel view synthesis aims at rendering any posed images from sparse observations of the scene. Recently, neural radiance fields (NeRF) have demonstrated their effectiveness in synthesizing novel views a bounded However, most existing methods cannot be directly extended to 360° unbounded scenes where camera orientations and scene depths are unconstrained with large variations. In this paper, we present spherical field (SRF) for efficient scenes. Specifically, represent 3D as multiple...
Metal–organic framework (MOF) materials can be used as precursors to prepare non-precious metal catalysts (NPMCs) for oxygen reduction reaction (ORR). Herein, we prepared a novel MOF material (denoted Co-bpdc) and then combined it with multi-walled carbon nanotubes (MWCNTs) form Co-bpdc/MWCNTs composites. After calcination, the cobalt ions from Co-bpdc were converted into Co nanoparticles, which distributed in graphite layers MWCNTs Co-bpdc/MWCNTs. The characterized by TEM (Transmission...
Abstract A novel composite Fe‐bpdc‐C 3 N 4 ‐CA catalyst (where bpdc stands for 2,2′‐bipyridine‐3,3′‐dicarboxylic acid and CA carbon aerogel) with a high nitrogen content was synthesized through the in situ encapsulation of nitrogen‐containing metal organic frameworks along g‐C into porous CAs. The characteristics catalysts calcined at different temperatures were determined by means TEM, XRD, Raman spectroscopy, XPS, BET measurements. results demonstrate successful doping heteroatoms...
Background: It is often difficult to diagnose pituitary microadenoma (PM) by MRI alone, due its relatively small size, variable anatomical structure, complex clinical symptoms, and signs among individuals. We develop validate a deep learning -based system PM from MRI. Methods: A total of 11,935 infertility participants were initially recruited for this project. After applying the exclusion criteria, 1,520 (556 patients 964 controls subjects) included further stratified into 3 non-overlapping...
Abstract One major limitation for polymer electrolyte membrane fuel cells is the sluggish cathode kinetics. Development of efficient noble‐free catalysts key resolution to problem oxygen reduction reaction (ORR) in both acid and alkaline solutions. Herein, we report a new type non‐precious‐metal catalyst ORR through direct pyrolysis poly[2,2′‐(1,1′‐cobaltocenium)‐5,5′‐dibenzimidazole]. The cobalt oxides were produced after at 900 °C (Cp 2 ‐Co + ‐PBI‐900, where PBI polybenzimidazole)....
Selective hydrogenation of alkynes to obtain alkenes is a key reaction in petrochemical and fine chemical industries. However, the development stable highly selective catalysts with uniformly dispersed active sites still immensely challenging for semi-hydrogenation alkynes. In this study, N-doped porous carbon nanospheres (NPCNs) were synthesized by nanoemulsion self-assembly subsequently carbonization method. Ultrafine PdCu bimetallic nanoparticles (NPs) immobilized on NPCNs. The obtained...
Ultrafine PdCo bimetallic nanoclusters with Co atom-modified Pd active sites were highly dispersed and confined in an m-NC material for selective semi-hydrogenation of alkynes to alkenes.
Recently, text-to-3D approaches have achieved high-fidelity 3D content generation using text description. However, the generated objects are stochastic and lack fine-grained control. Sketches provide a cheap approach to introduce such Nevertheless, it is challenging achieve flexible control from these sketches due their abstraction ambiguity. In this paper, we present multi-view sketch-guided framework (namely, Sketch2NeRF) add sketch generation. Specifically, our method leverages pretrained...