19 citations · 43 across the 7 of their papers we have counts for
7 papers
Text-Only Training for Visual Storytelling
Yuechen Wang, Wengang Zhou, Zhenbo Lu +1
Visual storytelling aims to generate a narrative based on a sequence of images, necessitating both vision-language alignment and coherent story generation. Most existing solutions…
Fine-grained Semantic Alignment Network for Weakly Supervised Temporal Language Grounding
Yuechen Wang, Wengang Zhou, Houqiang Li
Temporal language grounding (TLG) aims to localize a video segment in an untrimmed video based on a natural language description. To alleviate the expensive cost of manual annotati…
Geometric Representation Learning for Document Image Rectification
Hao Feng, Wengang Zhou, Jiajun Deng +2
In document image rectification, there exist rich geometric constraints between the distorted image and the ground truth one. However, such geometric constraints are largely ignore…
SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition
Hezhen Hu, Weichao Zhao, Wengang Zhou +2
Hand gesture serves as a critical role in sign language. Current deep-learning-based sign language recognition (SLR) methods may suffer insufficient interpretability and overfittin…
DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction
Hao Feng, Yuechen Wang, Wengang Zhou +2
In this work, we propose a new framework, called Document Image Transformer (DocTr), to address the issue of geometry and illumination distortion of the document images. Specifical…
Weakly Supervised Temporal Adjacent Network for Language Grounding
Yuechen Wang, Jiajun Deng, Wengang Zhou +1
Temporal language grounding (TLG) is a fundamental and challenging problem for vision and language understanding. Existing methods mainly focus on fully supervised setting with tem…
Pre-training Text Representations as Meta Learning
Shangwen Lv, Yuechen Wang, Daya Guo +10
Pre-training text representations has recently been shown to significantly improve the state-of-the-art in many natural language processing tasks. The central goal of pre-training…