activity
20172023
most citedReinterpreting CTC training as iterative fitting

29 citations · 62 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2023

FlowText: Synthesizing Realistic Scene Text Video with Optical Flow Estimation

Yuzhong Zhao, Weijia Wu, Zhuang Li +2

Current video text spotting methods can achieve preferable performance, powered with sufficient labeled training data. However, labeling data manually is time-consuming and labor-i…

cs.LG2021★ 10 cited

How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data

Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang +2

Since training a large-scale backdoored model from scratch requires a large training dataset, several recent attacks have considered to inject backdoors into a trained clean model…

cs.CV2020★ 2 cited

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…

cs.CV2020

Characters as Graphs: Recognizing Online Handwritten Chinese Characters via Spatial Graph Convolutional Network

Ji Gan, Weiqiang Wang, Ke Lu

Chinese is one of the most widely used languages in the world, yet online handwritten Chinese character recognition (OLHCCR) remains challenging. To recognize Chinese characters, o…

cs.CV2020★ 6 cited

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…

cs.CV2019★ 11 cited

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…