51 citations · 77 across the 20 of their papers we have counts for
9 papers · 1 filter
Attr-Int: A Simple and Effective Entity Alignment Framework for Heterogeneous Knowledge Graphs
Linyan Yang, Jingwei Cheng, Chuanhao Xu +3
Entity alignment (EA) refers to the task of linking entities in different knowledge graphs (KGs). Existing EA methods rely heavily on structural isomorphism. However, in real-world…
Towards General Deepfake Detection with Dynamic Curriculum
Wentang Song, Yuzhen Lin, Bin Li
Most previous deepfake detection methods bent their efforts to discriminate artifacts by end-to-end training. However, the learned networks often fail to mine the general face forg…
Strategic Arms with Side Communication Prevail Over Low-Regret MAB Algorithms
Ahmed Ben Yahmed, Clément Calauzènes, Vianney Perchet
In the strategic multi-armed bandit setting, when arms possess perfect information about the player's behavior, they can establish an equilibrium where: 1. they retain almost all o…
Sec2Sec Co-attention for Video-Based Apparent Affective Prediction
Mingwei Sun, Kunpeng Zhang
Video-based apparent affect detection plays a crucial role in video understanding, as it encompasses various elements such as vision, audio, audio-visual interactions, and spatiote…
T-Pixel2Mesh: Combining Global and Local Transformer for 3D Mesh Generation from a Single Image
Shijie Zhang, Boyan Jiang, Keke He +5
Pixel2Mesh (P2M) is a classical approach for reconstructing 3D shapes from a single color image through coarse-to-fine mesh deformation. Although P2M is capable of generating plaus…
Maximum-Entropy Adversarial Audio Augmentation for Keyword Spotting
Zuzhao Ye, Gregory Ciccarelli, Brian Kulis
Data augmentation is a key tool for improving the performance of deep networks, particularly when there is limited labeled data. In some fields, such as computer vision, augmentati…
DarkShot: Lighting Dark Images with Low-Compute and High-Quality
Jiazhang Zheng, Lei Li, Qiuping Liao +3
Nighttime photography encounters escalating challenges in extremely low-light conditions, primarily attributable to the ultra-low signal-to-noise ratio. For real-world deployment,…
TEN-GUARD: Tensor Decomposition for Backdoor Attack Detection in Deep Neural Networks
Khondoker Murad Hossain, Tim Oates
As deep neural networks and the datasets used to train them get larger, the default approach to integrating them into research and commercial projects is to download a pre-trained…
TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing
Luyuan Xie, Cong Li, Xin Zhang +4
Representation learning frameworks in unlabeled time series have been proposed for medical signal processing. Despite the numerous excellent progresses have been made in previous w…