11 citations · 38 across the 8 of their papers we have counts for
8 papers
Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World
Meiqi Wu, Kaiqi Huang, Yuanqiang Cai +3
Air-writing is a challenging task that combines the fields of computer vision and natural language processing, offering an intuitive and natural approach for human-computer interac…
Uni-Removal: A Semi-Supervised Framework for Simultaneously Addressing Multiple Degradations in Real-World Images
Yongheng Zhang, Danfeng Yan, Yuanqiang Cai
Removing multiple degradations, such as haze, rain, and blur, from real-world images poses a challenging and illposed problem. Recently, unified models that can handle different de…
Explore Faster Localization Learning For Scene Text Detection
Yuzhong Zhao, Yuanqiang Cai, Weijia Wu +1
Generally pre-training and long-time training computation are necessary for obtaining a good-performance text detector based on deep networks. In this paper, we present a new scene…
End-to-End Video Text Spotting with Transformer
Weijia Wu, Yuanqiang Cai, Chunhua Shen +4
Recent video text spotting methods usually require the three-staged pipeline, i.e., detecting text in individual images, recognizing localized text, tracking text streams with post…
A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer
Weijia Wu, Yuanqiang Cai, Debing Zhang +5
Most existing video text spotting benchmarks focus on evaluating a single language and scenario with limited data. In this work, we introduce a large-scale, Bilingual, Open World V…
Towards Spatio-Temporal Video Scene Text Detection via Temporal Clustering
Yuanqiang Cai, Chang Liu, Weiqiang Wang +1
With only bounding-box annotations in the spatial domain, existing video scene text detection (VSTD) benchmarks lack temporal relation of text instances among video frames, which h…
Rethinking Object Detection in Retail Stores
Yuanqiang Cai, Longyin Wen, Libo Zhang +2
The convention standard for object detection uses a bounding box to represent each individual object instance. However, it is not practical in the industry-relevant applications in…
Guided Attention Network for Object Detection and Counting on Drones
Yuanqiang Cai, Dawei Du, Libo Zhang +4
Object detection and counting are related but challenging problems, especially for drone based scenes with small objects and cluttered background. In this paper, we propose a new G…