Cong Wang

MeGA: Hybrid Mesh-Gaussian Head Avatar for High-Fidelity Rendering and Head Editing

Cong Wang, Di Kang, Heyi Sun, Shenhan Qian et autres

Creating high-fidelity head avatars from multi-view videos is essential for many AR/VR applications. However, current methods often struggle to achieve high-quality renderings across all head components (e.g., skin vs. hair) due to the limitations of using one single representation for elements with …

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Long burn arc powered explicit guidance algorithm for Earth-to-Moon missions

Haifeng Hu, Liang Yan, Cong Wang, Jinlin Wang et autres

Earth-to-Moon missions with low thrust-to-weight ratios present unique challenges for exoatmospheric guidance, and the existing algorithms are ineffective for the unprecedentedly long burn arcs and high orbital eccentricities. To address these challenges, a Long Burn Arc Powered Explicit Guidance (LBA-PEG) algorithm is …

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Non-contact radar-based HRV monitoring method using adaptive cycle segmentation and peak extraction

高翊轩, 朱新星, Meina Li, Elaine Y. Wu et autres

A Review of the Bayesian Method in Nuclear Fusion Diagnostic Research

Cong Wang, Jìng Li, Yixiong Wei, Zhijun Wang et autres

cn (code pays fourni par la source)

MeGA: Hybrid Mesh-Gaussian Head Avatar for High-Fidelity Rendering and Head Editing

Cong Wang, Di Kang, Shen-Han Qian, Zixuan Wang et autres

Creating high-fidelity head avatars from multi-view videos is a core issue for many AR/VR applications. However, existing methods usually struggle to obtain high-quality renderings for all different head components simultaneously since they use one single representation to model components with drastically different …

Neural Point-based Volumetric Avatar: Surface-guided Neural Points for Efficient and Photorealistic Volumetric Head Avatar

Cong Wang, Di Kang, Yan‐Pei Cao, Linchao Bao et autres

Rendering photorealistic and dynamically moving human heads is crucial for ensuring a pleasant and immersive experience in AR/VR and video conferencing applications. However, existing methods often struggle to model challenging facial regions (e.g., mouth interior, eyes, and beard), resulting in unrealistic and …

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Detection and Mitigation of Position Spoofing Attacks on Cooperative UAV Swarm Formations

Siguo Bi, Kai Li, Shuyan Hu, Wei Ni et autres

Detecting spoofing attacks on the positions of unmanned aerial vehicles (UAVs) within a swarm is challenging. Traditional methods relying solely on individually reported positions and pairwise distance measurements are ineffective in identifying the misbehavior of malicious UAVs. This paper presents a novel …

Influence of Flap Parameters on the Aerodynamic Performance of a Wind-Turbine Airfoil

Yuanjun Dai, Jinǵan Cui, Baohua Li, Cong Wang et autres

A numerical method has been used to analyze the flow field related to a NACA 0015 airfoil with and without a flap and assess the influence of the flap height and angle on the surface pressure coefficient, lift coefficient, and drag coefficient. …

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LoLep: Single-View View Synthesis with Locally-Learned Planes and Self-Attention Occlusion Inference

Cong Wang, Yu-Ping Wang, Dinesh Manocha

We propose a novel method, LoLep, which regresses Locally-Learned planes from a single RGB image to represent scenes accurately, thus generating better novel views. Without the depth information, regressing appropriate plane locations is a challenging problem. To solve this issue, we pre-partition …

cn, us (code pays fourni par la source)

LoLep: Single-View View Synthesis with Locally-Learned Planes and Self-Attention Occlusion Inference

Cong Wang, Yu‐Ping Wang, Dinesh Manocha

We propose a novel method, LoLep, which regresses Locally-Learned planes from a single RGB image to represent scenes accurately, thus generating better novel views. Without the depth information, regressing appropriate plane locations is a challenging problem. To solve this issue, we pre-partition …

Prediction for the Inventory Management Chaotic Complexity System Based on the Deep Neural Network Algorithm

Tengfei Lei, Rita Yi Man Li, Nuttapong Jotikastira, Haiyan Fu et autres

Precise inventory prediction is the key to goods inventory and safety management. Accurate inventory prediction improves enterprises’ production efficiency. It is also essential to control costs and optimize the supply chain’s performance. Nevertheless, the complex inventory data are often chaotic and nonlinear; …

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Effect of blade tips ice on vibration performance of wind turbines

Yuanjun Dai, Fengze Xie, Baohua Li, Cong Wang et autres

There are abundant wind resources in cold regions. Therefore, it is essential to systematically study some icing situation of wind turbines blades (especially the blade tip area) to reduce the loss of wind turbines blades caused by faults, which has important significance …

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