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

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

collaborators

10 papers

cs.CV2023

In Defense of Clip-based Video Relation Detection

Meng Wei, Long Chen, Wei Ji +2

Video Visual Relation Detection (VidVRD) aims to detect visual relationship triplets in videos using spatial bounding boxes and temporal boundaries. Existing VidVRD methods can be…

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…

cs.CV2020★ 2 cited

HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation

Meng Wei, Chun Yuan, Xiaoyu Yue +1

Scene graph generation aims to produce structured representations for images, which requires to understand the relations between objects. Due to the continuous nature of deep neura…

cs.CV2020★ 13 cited

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition

Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin +2

The attention-based encoder-decoder framework has recently achieved impressive results for scene text recognition, and many variants have emerged with improvements in recognition q…

cs.CV2019★ 11 cited

Geometry Normalization Networks for Accurate Scene Text Detection

Youjiang Xu, Jiaqi Duan, Zhanghui Kuang +4

Large geometry (e.g., orientation) variances are the key challenges in the scene text detection. In this work, we first conduct experiments to investigate the capacity of networks…

cs.CV2018★ 6 cited

Boosting up Scene Text Detectors with Guided CNN

Xiaoyu Yue, Zhanghui Kuang, Zhaoyang Zhang +4

Deep CNNs have achieved great success in text detection. Most of existing methods attempt to improve accuracy with sophisticated network design, while paying less attention on spee…