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20182023
most citedVisual Parser: Representing Part-whole Hierarchies with Transformers

18 citations · 81 across the 9 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021

Rethinking the Two-Stage Framework for Grounded Situation Recognition

Meng Wei, Long Chen, Wei Ji +2

Grounded Situation Recognition (GSR), i.e., recognizing the salient activity (or verb) category in an image (e.g., buying) and detecting all corresponding semantic roles (e.g., age…

cs.CV2021★ 15 cited

MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding

Zhanghui Kuang, Hongbin Sun, Zhizhong Li +10

We present MMOCR-an open-source toolbox which provides a comprehensive pipeline for text detection and recognition, as well as their downstream tasks such as named entity recogniti…

cs.CV2021

Vision Transformer with Progressive Sampling

Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang +4

Transformers with powerful global relation modeling abilities have been introduced to fundamental computer vision tasks recently. As a typical example, the Vision Transformer (ViT)…

cs.CV2021★ 18 cited

Visual Parser: Representing Part-whole Hierarchies with Transformers

Shuyang Sun, Xiaoyu Yue, Song Bai +1

Human vision is able to capture the part-whole hierarchical information from the entire scene. This paper presents the Visual Parser (ViP) that explicitly constructs such a hierarc…

cs.CV2021★ 16 cited

Spatial Dual-Modality Graph Reasoning for Key Information Extraction

Hongbin Sun, Zhanghui Kuang, Xiaoyu Yue +2

Key information extraction from document images is of paramount importance in office automation. Conventional template matching based approaches fail to generalize well to document…