24 citations · 83 across the 9 of their papers we have counts for
9 papers · 1 filter
The Role of Video Generation in Enhancing Data-Limited Action Understanding
Wei Li, Dezhao Luo, Dongbao Yang +3
Video action understanding tasks in real-world scenarios always suffer data limitations. In this paper, we address the data-limited action understanding problem by bridging data sc…
Resolving Sentiment Discrepancy for Multimodal Sentiment Detection via Semantics Completion and Decomposition
Daiqing Wu, Dongbao Yang, Huawen Shen +2
With the proliferation of social media posts in recent years, the need to detect sentiments in multimodal (image-text) content has grown rapidly. Since posts are user-generated, th…
Masked and Permuted Implicit Context Learning for Scene Text Recognition
Xiaomeng Yang, Zhi Qiao, Jin Wei +2
Scene Text Recognition (STR) is difficult because of the variations in text styles, shapes, and backgrounds. Though the integration of linguistic information enhances models' perfo…
Multi-View Correlation Distillation for Incremental Object Detection
Dongbao Yang, Yu Zhou, Weiping Wang
In real applications, new object classes often emerge after the detection model has been trained on a prepared dataset with fixed classes. Due to the storage burden and the privacy…
Two-Level Residual Distillation based Triple Network for Incremental Object Detection
Dongbao Yang, Yu Zhou, Dayan Wu +3
Modern object detection methods based on convolutional neural network suffer from severe catastrophic forgetting in learning new classes without original data. Due to time consumpt…
Self-Training for Domain Adaptive Scene Text Detection
Yudi Chen, Wei Wang, Yu Zhou +3
Though deep learning based scene text detection has achieved great progress, well-trained detectors suffer from severe performance degradation for different domains. In general, a…
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
Zhi Qiao, Yu Zhou, Dongbao Yang +2
Scene text recognition is a hot research topic in computer vision. Recently, many recognition methods based on the encoder-decoder framework have been proposed, and they can handle…
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
Dezhao Luo, Chang Liu, Yu Zhou +4
We propose a novel self-supervised method, referred to as Video Cloze Procedure (VCP), to learn rich spatial-temporal representations. VCP first generates "blanks" by withholding v…
Curved Text Detection in Natural Scene Images with Semi- and Weakly-Supervised Learning
Xugong Qin, Yu Zhou, Dongbao Yang +1
Detecting curved text in the wild is very challenging. Recently, most state-of-the-art methods are segmentation based and require pixel-level annotations. We propose a novel scheme…