Editing Text in the Wild

Liang Wu, Chengquan Zhang, Jiaming Liu +4

The paper introduces SRNet, an end‑to‑end network that can replace or modify words in natural images while preserving the original text style and background, using separate modules…

Detecting Text in the Wild with Deep Character Embedding Network

Jiaming Liu, Chengquan Zhang, Yipeng Sun +2

WordSup: Exploiting Word Annotations for Character based Text Detection

Han Hu, Chengquan Zhang, Yuxuan Luo +3

3D Pose Estimation for Fine-Grained Object Categories

Yaming Wang, Xiao Tan, Yi Yang +4

Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition

Xiao Liu, Jiang Wang, Shilei Wen +2

Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes

Chengquan Zhang, Borong Liang, Zuming Huang +4

TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network

Yipeng Sun, Chengquan Zhang, Zuming Huang +3

Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition

Ming Sun, Yuchen Yuan, Feng Zhou +1

Compact Generalized Non-local Network

Kaiyu Yue, Ming Sun, Yuchen Yuan +3

BMN: Boundary-Matching Network for Temporal Action Proposal Generation

Tianwei Lin, Xiao Liu, Xin Li +2

STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing

Ming Liu, Yukang Ding, Min Xia +4

Fine-grained Video Categorization with Redundancy Reduction Attention

Chen Zhu, Xiao Tan, Feng Zhou +4