activity
20172024
most citedA Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning

84 citations · 696 across the 50 of their papers we have counts for

collaborators

50 papers

cs.CV2024

Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection

Jiaming Li, Xiangru Lin, Wei Zhang +6

Current semi-supervised object detection (SSOD) algorithms typically assume class balanced datasets (PASCAL VOC etc.) or slightly class imbalanced datasets (MS-COCO, etc). This ass…

cs.CV2024

Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection

Jiacheng Zhang, Jiaming Li, Xiangru Lin +6

We delve into pseudo-labeling for semi-supervised monocular 3D object detection (SSM3OD) and discover two primary issues: a misalignment between the prediction quality of 3D and 2D…

cs.CV2023★ 5 cited

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception

Junkun Yuan, Xinyu Zhang, Hao Zhou +12

Model pre-training is essential in human-centric perception. In this paper, we first introduce masked image modeling (MIM) as a pre-training approach for this task. Upon revisiting…

cs.CV2023

Accelerating Vision Transformers Based on Heterogeneous Attention Patterns

Deli Yu, Teng Xi, Jianwei Li +7

Recently, Vision Transformers (ViTs) have attracted a lot of attention in the field of computer vision. Generally, the powerful representative capacity of ViTs mainly benefits from…

cs.CV2023★ 3 cited

Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation

Huan Liu, Qiang Chen, Zichang Tan +9

In this paper, we study the problem of end-to-end multi-person pose estimation. State-of-the-art solutions adopt the DETR-like framework, and mainly develop the complex decoder, e.…

cs.CV2023★ 1 cited

MataDoc: Margin and Text Aware Document Dewarping for Arbitrary Boundary

Beiya Dai, Xing li, Qunyi Xie +5

Document dewarping from a distorted camera-captured image is of great value for OCR and document understanding. The document boundary plays an important role which is more evident…