As the mobile gaming market experiences significant growth, there is a continuous emergence of new gaming products such as premium games and video mini-games. Meeting their marketing needs and supporting their business growth is essential for long-term ...

Conversion rate (CVR) prediction is essential in recommender systems, facilitating precise matching between recommended items and users’ preferences. However, the sample selection bias (SSB) and data sparsity (DS) issues pose challenges to accurate ...

We introduce LocoTrack, a highly accurate and efficient model designed for the task of tracking any point (TAP) across video sequences. Previous approaches in this task often rely on local 2D correlation maps to establish correspondences from a ...$$

We present fVDB, a novel GPU-optimized framework for deep learning on large-scale 3D data. fVDB provides a complete set of differentiable primitives to build deep learning architectures for common tasks in 3D learning such as convolution, pooling, ...

Unmanned Aerial Vehicles (UAVs) are highly versatile and efficient tools utilized across diverse industries for data collection. However, they are vulnerable to wireless communication and data exchange risks, including unauthorized access, data ...

• A secure UAV network architecture incorporating blockchain and machine learning.
• A UAV identity management module grounded in blockchain and encryption algorithms.
• A real-time security situational awareness system for UAV cluster ...

Learning trajectory representations is essential in many Location Based Services (LBS) applications. Most traditional methods extract trajectory representations based on manually defined features, while deep learning-based methods can reduce part of the ...

Vertical Federated Learning (VFL) enables multiple data owners, each holding a different subset of features about a largely overlapping set of data samples, to collaboratively train a global model. The quality of data owners’ local features affects ...

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Acute kidney injury (AKI), a common condition on the intensive-care unit (ICU), is characterized by an abrupt decrease in kidney function within a few hours or days, leading to kidney failure or damage. Although AKI is associated with ...

Most blockchains are entirely open-source software. This gives auditors ability to review the security of cryptocurrencies such as Bitcoin. Because only after the source code of the cryptocurrency has been publicly audited by the market, users ...

Maintaining global consistency continues to be critical for online 3D indoor scene reconstruction. However, it is still challenging to generate satisfactory 3D reconstruction in terms of global consistency for previous approaches using purely geometric ...

Blockchain was known by Satoshi Nakamoto in 2008 because of bitcoin. After more than a decade of development, blockchain has been widely applied in medical, digital finance, and electronic evidence, and others. At present, there are dozens of different ...

As a distributed public ledger technology in a peer‐to‐peer network, blockchain has been widely used in a variety of Internet interaction systems in recent years, such as market supervision, property rights protection, and digital identity. ...

We present a privacy‐preserving model based on zk‐SNARKs and hash chain for efficient exchange of digital assets. The comprehensive experimental results show the practicality of zkChain. image image

As a distributed public ledger technology in a peer-to-peer network, blockchain has been significantly adopted in a variety of Internet interaction systems in the past few years, such as market supervision, copyright protection, digital identity, ...

To reconstruct meshes from the widely-available 3D point cloud data, implicit shape representation is among the primary choices as an intermediate form due to its superior representation power and robustness in topological optimizations. Although ...

Multi-beam LiDAR sensors, as used on autonomous vehicles and mobile robots, acquire sequences of 3D range scans (“frames”). Each frame covers the scene sparsely, due to limited angular scanning resolution and occlusion. The sparsity restricts the ...

We present CIRCLE, a framework for large-scale scene completion and geometric refinement based on local implicit signed distance functions. It is based on an end-to-end sparse convolutional network, CircNet, which jointly models local geometric ...

We introduce layered controllable video generation, where we, without any supervision, decompose the initial frame of a video into foreground and background layers, with which the user can control the video generation process by simply ...

Federated learning (FL) is gradually becoming a key learning paradigm in Privacy‐preserving Machine Learning (ML) systems. In FL, a large number of clients cooperate with a central server to learn a shared model without sharing their own data ...

Rapid and accurate diagnosis of nuclear accident is the primary link of nuclear emergency. Signed directed graph SDG has good completeness as a common method for fault diagnosis, but the traditional SDG model has low diagnosis efficiency. As a ...

Convolutionalneural networks (CNNs) have made great breakthroughs in two-dimensional (2D) computer vision. However, their irregular structure makes it hard to harness the potential of CNNs directly on meshes. A subdivision surface provides a hierarchical ...