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Found 12 papers, 3 papers with code
Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting
The recent advancements in 3D Gaussian splatting (3D-GS) have not only facilitated real-time rendering through modern GPU rasterization pipelines but have also attained state-of-the-art rendering quality.
Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
Implicit neural representation has paved the way for new approaches to dynamic scene reconstruction and rendering.
VMCDL: Vulnerability Mining Based on Cascaded Deep Learning Under Source Control Flow
In this paper, we mainly use the c/c++ source code data of the SARD dataset, process the source code of CWE476, CWE469, CWE516 and CWE570 vulnerability types, test the Joern vulnerability scanning function of the cutting-edge tool, and propose a new cascading deep learning model VMCDL based on source code control flow to effectively detect vulnerabilities.
Based on particle swarm optimization support vector machine model of the electric car sales strategy research
From the perspective of constructing the classification model, this paper uses the weight coefficient (influencing factors) in the model to analyze the sales impact on different brands of electric vehicles, and optimizes the existing sales strategy.
DCDetector: An IoT terminal vulnerability mining system based on distributed deep ensemble learning under source code representation
This enables us to propose a code representation of sensitive sentence-related slices of source code, and to detect vulnerabilities by designing a distributed deep ensemble learning model.
A Temporal Densely Connected Recurrent Network for Event-based Human Pose Estimation
By this recurrent architecture, we can explicitly model not only the sequential but also non-sequential geometric consistency across time steps to accumulate information from previous frames to recover the entire human bodies, achieving a stable and accurate human pose estimation from event data.
Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold Regression
Both the threshold points and regression coefficients are unknown and to be estimated.
Improving Code Autocompletion with Transfer Learning
Software language models have achieved promising results predicting code completion usages, and several industry studies have described successful IDE integrations.
BEAUTY Powered BEAST
To approach this oracle power, we devise the BEAST through a regularized resampling approximation of the oracle test.
Transferable Adversarial Perturbations
We first show that maximizing distance between natural images and their adversarial examples in the intermediate feature maps can improve both white-box attacks (with knowledge of the model parameters) and black-box attacks.
Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition
Spatial and temporal features are two key and complementary information for human action recognition.
Cross-View Action Recognition via a Continuous Virtual Path
In this paper, we propose a novel method for cross-view action recognition via a continuous virtual path which connects the source view and the target view.
