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20102023
most citedSpectral-based Graph Convolutional Network for Directed Graphs

39 citations · 246 across the 49 of their papers we have counts for

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Showing 2022Show all

16 papers · 1 filter

cs.CV2022★ 12 cited

MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

Ludan Ruan, Yiyang Ma, Huan Yang +6

We propose the first joint audio-video generation framework that brings engaging watching and listening experiences simultaneously, towards high-quality realistic videos. To genera…

cs.MM2022★ 10 cited

Disparity-based Stereo Image Compression with Aligned Cross-View Priors

Yongqi Zhai, Luyang Tang, Yi Ma +2

With the wide application of stereo images in various fields, the research on stereo image compression (SIC) attracts extensive attention from academia and industry. The core of SI…

cs.CV2022★ 2 cited

Unsupervised Learning of Structured Representations via Closed-Loop Transcription

Shengbang Tong, Xili Dai, Yubei Chen +5

This paper proposes an unsupervised method for learning a unified representation that serves both discriminative and generative purposes. While most existing unsupervised learning…

cs.CV2022★ 21 cited

Revisiting Sparse Convolutional Model for Visual Recognition

Xili Dai, Mingyang Li, Pengyuan Zhai +6

Despite strong empirical performance for image classification, deep neural networks are often regarded as ``black boxes'' and they are difficult to interpret. On the other hand, sp…

cs.IT2022

A Design of Low-Projection SCMA Codebooks for Ultra-Low Decoding Complexity in Downlink IoT Networks

Qu Luo, Zilong Liu, Gaojie Chen +3

This paper conceives a novel sparse code multiple access (SCMA) codebook design which is motivated by the strong need for providing ultra-low decoding complexity and good error per…

cs.CV2022★ 9 cited

AI Illustrator: Translating Raw Descriptions into Images by Prompt-based Cross-Modal Generation

Yiyang Ma, Huan Yang, Bei Liu +2

AI illustrator aims to automatically design visually appealing images for books to provoke rich thoughts and emotions. To achieve this goal, we propose a framework for translating…