no code implementations • 17 Nov 2020 • Jianlong Yuan, Zelu Deng, Shu Wang, Zhenbo Luo
Semantic segmentation is one of the key tasks in computer vision, which is to assign a category label to each pixel in an image.
Ranked #20 on Semantic Segmentation on Cityscapes test (using extra training data)
1 code implementation • 20 Apr 2020 • Xiangyu Zhu, Zhenbo Luo, Pei Fu, Xiang Ji
Then we use orientation and camera similarity as penalty to get final similarity.
no code implementations • CVPR 2019 • Xiaobing Wang, Yingying Jiang, Zhenbo Luo, Cheng-Lin Liu, Hyun-Soo Choi, Sungjin Kim
Here, recurrent neural network based adaptive text region representation is proposed for text region refinement, where a pair of boundary points are predicted each time step until no new points are found.
no code implementations • CVPR 2018 • Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Yang Xiao, Ruibo Li, Zhenbo Luo
In this paper we study the problem of monocular relative depth perception in the wild.
no code implementations • 11 Nov 2017 • Xiangyu Zhu, Yingying Jiang, Shuli Yang, Xiaobing Wang, Wei Li, Pei Fu, Hua Wang, Zhenbo Luo
Scene text detection is a challenging problem in computer vision.
1 code implementation • 29 Jun 2017 • Yingying Jiang, Xiangyu Zhu, Xiaobing Wang, Shuli Yang, Wei Li, Hua Wang, Pei Fu, Zhenbo Luo
In this paper, we propose a novel method called Rotational Region CNN (R2CNN) for detecting arbitrary-oriented texts in natural scene images.
4 code implementations • 4 May 2017 • Yifan Liu, Zengchang Qin, Zhenbo Luo, Hua Wang
Learning to generate colorful cartoon images from black-and-white sketches is not only an interesting research problem, but also a potential application in digital entertainment.