activity
20182024
most citedOn the Connection between Local Attention and Dynamic Depth-wise Convolution

71 citations · 123 across the 12 of their papers we have counts for

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10 papers · 1 filter

cs.CV2024

Dynamic Relation Transformer for Contextual Text Block Detection

Jiawei Wang, Shunchi Zhang, Kai Hu +4

Contextual Text Block Detection (CTBD) is the task of identifying coherent text blocks within the complexity of natural scenes. Previous methodologies have treated CTBD as either a…

cs.CV2024★ 2 cited

Detect-Order-Construct: A Tree Construction based Approach for Hierarchical Document Structure Analysis

Jiawei Wang, Kai Hu, Zhuoyao Zhong +2

Document structure analysis (aka document layout analysis) is crucial for understanding the physical layout and logical structure of documents, with applications in information ret…

cs.CV2023★ 1 cited

Robust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformer

Jiawei Wang, Weihong Lin, Chixiang Ma +4

We present a new table structure recognition (TSR) approach, called TSRFormer, to robustly recognizing the structures of complex tables with geometrical distortions from various ta…

cs.CV2022★ 9 cited

TSRFormer: Table Structure Recognition with Transformers

Weihong Lin, Zheng Sun, Chixiang Ma +4

We present a new table structure recognition (TSR) approach, called TSRFormer, to robustly recognizing the structures of complex tables with geometrical distortions from various ta…

cs.CV2022★ 6 cited

Robust Table Detection and Structure Recognition from Heterogeneous Document Images

Chixiang Ma, Weihong Lin, Lei Sun +1

We introduce a new table detection and structure recognition approach named RobusTabNet to detect the boundaries of tables and reconstruct the cellular structure of each table from…

cs.CV2021

Conditional DETR for Fast Training Convergence

Depu Meng, Xiaokang Chen, Zejia Fan +5

The recently-developed DETR approach applies the transformer encoder and decoder architecture to object detection and achieves promising performance. In this paper, we handle the c…

cs.CV2021★ 71 cited

On the Connection between Local Attention and Dynamic Depth-wise Convolution

Qi Han, Zejia Fan, Qi Dai +4

Vision Transformer (ViT) attains state-of-the-art performance in visual recognition, and the variant, Local Vision Transformer, makes further improvements. The major component in L…

cs.CV2020★ 4 cited

ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks

Chixiang Ma, Lei Sun, Zhuoyao Zhong +1

We introduce a new arbitrary-shaped text detection approach named ReLaText by formulating text detection as a visual relationship detection problem. To demonstrate the effectivenes…

cs.CV2018★ 10 cited

Mask R-CNN with Pyramid Attention Network for Scene Text Detection

Zhida Huang, Zhuoyao Zhong, Lei Sun +1

In this paper, we present a new Mask R-CNN based text detection approach which can robustly detect multi-oriented and curved text from natural scene images in a unified manner. To…

cs.CV2018★ 16 cited

An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches

Zhuoyao Zhong, Lei Sun, Qiang Huo

The anchor mechanism of Faster R-CNN and SSD framework is considered not effective enough to scene text detection, which can be attributed to its IoU based matching criterion betwe…