78 citations · 134 across the 9 of their papers we have counts for
10 papers
A Large Cross-Modal Video Retrieval Dataset with Reading Comprehension
Weijia Wu, Yuzhong Zhao, Zhuang Li +4
Most existing cross-modal language-to-video retrieval (VR) research focuses on single-modal input from video, i.e., visual representation, while the text is omnipresent in human en…
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…
ICDAR 2023 Video Text Reading Competition for Dense and Small Text
Weijia Wu, Yuzhong Zhao, Zhuang Li +5
Recently, video text detection, tracking, and recognition in natural scenes are becoming very popular in the computer vision community. However, most existing algorithms and benchm…
Real-time End-to-End Video Text Spotter with Contrastive Representation Learning
Wejia Wu, Zhuang Li, Jiahong Li +5
Video text spotting(VTS) is the task that requires simultaneously detecting, tracking and recognizing text in the video. Existing video text spotting methods typically develop soph…
Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing
Zhuo Wang, Zezheng Wang, Zitong Yu +4
With diverse presentation attacks emerging continually, generalizable face anti-spoofing (FAS) has drawn growing attention. Most existing methods implement domain generalization (D…
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…
Contrastive Learning of Semantic and Visual Representations for Text Tracking
Zhuang Li, Weijia Wu, Mike Zheng Shou +4
Semantic representation is of great benefit to the video text tracking(VTT) task that requires simultaneously classifying, detecting, and tracking texts in the video. Most existing…
Consistency Regularization for Deep Face Anti-Spoofing
Zezheng Wang, Zitong Yu, Xun Wang +7
Face anti-spoofing (FAS) plays a crucial role in securing face recognition systems. Empirically, given an image, a model with more consistent output on different views of this imag…
Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection
Jiaming Li, Hongtao Xie, Jiahong Li +2
Face forgery detection is raising ever-increasing interest in computer vision since facial manipulation technologies cause serious worries. Though recent works have reached sound a…
Data Augmentation in Emotion Classification Using Generative Adversarial Networks
Xinyue Zhu, Yifan Liu, Zengchang Qin +1
It is a difficult task to classify images with multiple class labels using only a small number of labeled examples, especially when the label (class) distribution is imbalanced. Em…