activity
20172020
most citedR2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection

490 citations · 526 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV202021 cited

VOC-ReID: Vehicle Re-identification based on Vehicle-Orientation-Camera

Xiangyu Zhu, Zhenbo Luo, Pei Fu +1

Vehicle re-identification is a challenging task due to high intra-class variances and small inter-class variances. In this work, we focus on the failure cases caused by similar bac…

cs.CV201913 cited

Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation

Xiaobing Wang, Yingying Jiang, Zhenbo Luo +3

Scene text detection attracts much attention in computer vision, because it can be widely used in many applications such as real-time text translation, automatic information entry,…

cs.CV2019

Structured Knowledge Distillation for Dense Prediction

Yifan Liu, Changyong Shun, Jingdong Wang +1

In this work, we consider transferring the structure information from large networks to compact ones for dense prediction tasks in computer vision. Previous knowledge distillation…

cs.CV20172 cited

Deep Residual Text Detection Network for Scene Text

Xiangyu Zhu, Yingying Jiang, Shuli Yang +5

Scene text detection is a challenging problem in computer vision. In this paper, we propose a novel text detection network based on prevalent object detection frameworks. In order…

cs.CV2017490 cited

R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection

Yingying Jiang, Xiangyu Zhu, Xiaobing Wang +5

In this paper, we propose a novel method called Rotational Region CNN (R2CNN) for detecting arbitrary-oriented texts in natural scene images. The framework is based on Faster R-CNN…

cs.CV2017

Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks

Yifan Liu, Zengchang Qin, Zhenbo Luo +1

Recently, realistic image generation using deep neural networks has become a hot topic in machine learning and computer vision. Images can be generated at the pixel level by learni…