33 citations · 75 across the 8 of their papers we have counts for
9 papers
Text with Knowledge Graph Augmented Transformer for Video Captioning
Xin Gu, Guang Chen, Yufei Wang +3
Video captioning aims to describe the content of videos using natural language. Although significant progress has been made, there is still much room to improve the performance for…
Dual-Stream Transformer for Generic Event Boundary Captioning
Xin Gu, Hanhua Ye, Guang Chen +3
This paper describes our champion solution for the CVPR2022 Generic Event Boundary Captioning (GEBC) competition. GEBC requires the captioning model to have a comprehension of inst…
SC-Transformer++: Structured Context Transformer for Generic Event Boundary Detection
Dexiang Hong, Xiaoqi Ma, Xinyao Wang +3
This report presents the algorithm used in the submission of Generic Event Boundary Detection (GEBD) Challenge at CVPR 2022. In this work, we improve the existing Structured Contex…
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
Yufei Wang, Jiayi Zheng, Can Xu +4
This paper focuses on the data augmentation for low-resource NLP tasks where the training set is limited. The existing solutions either leverage task-independent heuristic rules (e…
Attention-based Feature Decomposition-Reconstruction Network for Scene Text Detection
Qi Zhao, Yufei Wang, Shuchang Lyu +1
Recently, scene text detection has been a challenging task. Texts with arbitrary shape or large aspect ratio are usually hard to detect. Previous segmentation-based methods can des…
FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy
Thomas Weng, Sujay Bajracharya, Yufei Wang +2
We address the problem of goal-directed cloth manipulation, a challenging task due to the deformability of cloth. Our insight is that optical flow, a technique normally used for mo…
Disentangled Feature Representation for Few-shot Image Classification
Hao Cheng, Yufei Wang, Haoliang Li +2
Learning the generalizable feature representation is critical for few-shot image classification. While recent works exploited task-specific feature embedding using meta-tasks for f…
Low-Light Image Enhancement with Normalizing Flow
Yufei Wang, Renjie Wan, Wenhan Yang +3
To enhance low-light images to normally-exposed ones is highly ill-posed, namely that the mapping relationship between them is one-to-many. Previous works based on the pixel-wise r…
Variational Disentanglement for Domain Generalization
Yufei Wang, Haoliang Li, Hao Cheng +3
Domain generalization aims to learn an invariant model that can generalize well to the unseen target domain. In this paper, we propose to tackle the problem of domain generalizatio…