490 citations · 611 across the 7 of their papers we have counts for
7 papers
Multi Receptive Field Network for Semantic Segmentation
Jianlong Yuan, Zelu Deng, Shu Wang +1
Semantic segmentation is one of the key tasks in computer vision, which is to assign a category label to each pixel in an image. Despite significant progress achieved recently, mos…
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…
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,…
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…
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…
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…
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…