Search Results for author:
Found 7 papers, 1 papers with code
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
We have witnessed significant progress in deep learning-based 3D vision, ranging from neural radiance field (NeRF) based 3D representation learning to applications in novel view synthesis (NVS).
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization
This strategy enables the model to preserve fine details of the desired subjects, such as text and logos.
PCNN: Environment Adaptive Model Without Finetuning
Convolutional Neural Networks (CNNs) have achieved tremendous success for many computer vision tasks, which shows a promising perspective of deploying CNNs on mobile platforms.
Weighted-Sampling Audio Adversarial Example Attack
In this paper, we propose~\textit{weighted-sampling audio adversarial examples}, focusing on the numbers and the weights of distortion to reinforce the attack.
Penetrating the Fog: the Path to Efficient CNN Models
In this paper, we are the first in the field to consider how to craft an effective sparse kernel design by eliminating the large design space.
Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds
In this paper, we propose a novel domain-adversarial multi-task framework for integrating shared knowledge from multiple domains.
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout
The insights attained here could potentially be applied as a general approach for boosting the accuracy of other CNN models with similar nonlinear connections.
