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20232026
most citedOccDepth: A Depth-Aware Method for 3D Semantic Scene Completion

39 citations · 59 across the 24 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 16 cited

RMT: Retentive Networks Meet Vision Transformers

Qihang Fan, Huaibo Huang, Mingrui Chen +2

Vision Transformer (ViT) has gained increasing attention in the computer vision community in recent years. However, the core component of ViT, Self-Attention, lacks explicit spatia…

cs.CV2023

OccNet: Robust Image Matching Based on 3D Occupancy Estimation for Occluded Regions

Miao Fan, Mingrui Chen, Chen Hu +1

Image matching is a fundamental and critical task in various visual applications, such as Simultaneous Localization and Mapping (SLAM) and image retrieval, which require accurate p…

cs.CV2023

ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images

Wenwen Yu, Chengquan Zhang, Haoyu Cao +24

Structured text extraction is one of the most valuable and challenging application directions in the field of Document AI. However, the scenarios of past benchmarks are limited, an…

cs.CV2023

ICDAR 2023 Competition on Reading the Seal Title

Wenwen Yu, Mingyu Liu, Mingrui Chen +5

Reading seal title text is a challenging task due to the variable shapes of seals, curved text, background noise, and overlapped text. However, this important element is commonly f…

cs.CV2023★ 39 cited

OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion

Ruihang Miao, Weizhou Liu, Mingrui Chen +4

3D Semantic Scene Completion (SSC) can provide dense geometric and semantic scene representations, which can be applied in the field of autonomous driving and robotic systems. It i…