activity
20122025
most citedSmall Cell Deployments: Recent Advances and Research Challenges

15 citations · 43 across the 17 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.CL2024

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…

cs.CV2024★ 5 cited

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…

cs.AI2024

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…

cs.MM2024

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…

cs.CV2024

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…

eess.AS2024

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…