most citedMulti-Graph Fusion Networks for Urban Region Embedding

6 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20232 cited

Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution

Ming Cheng, Haoyu Ma, Qiufang Ma +7

Multi-stage strategies are frequently employed in image restoration tasks. While transformer-based methods have exhibited high efficiency in single-image super-resolution tasks, th…

eess.IV20231 cited

OPDN: Omnidirectional Position-aware Deformable Network for Omnidirectional Image Super-Resolution

Xiaopeng Sun, Weiqi Li, Zhenyu Zhang +8

360° omnidirectional images have gained research attention due to their immersive and interactive experience, particularly in AR/VR applications. However, they suffer from lower an…

cs.SD2023

The DKU Post-Challenge Audio-Visual Wake Word Spotting System for the 2021 MISP Challenge: Deep Analysis

Haoxu Wang, Ming Cheng, Qiang Fu +1

This paper further explores our previous wake word spotting system ranked 2-nd in Track 1 of the MISP Challenge 2021. First, we investigate a robust unimodal approach based on 3D a…

cs.CV2022

H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System

Ming Cheng, Yiling Xu, Wang Shen +4

High-speed, high-resolution stereoscopic (H2-Stereo) video allows us to perceive dynamic 3D content at fine granularity. The acquisition of H2-Stereo video, however, remains challe…

cs.AI20226 cited

Multi-Graph Fusion Networks for Urban Region Embedding

Shangbin Wu, Xu Yan, Xiaoliang Fan +5

Learning the embeddings for urban regions from human mobility data can reveal the functionality of regions, and then enables the correlated but distinct tasks such as crime predict…