no code implementations • 3 Dec 2023 • Jie Deng, Wenhao Chai, Jianshu Guo, Qixuan Huang, Wenhao Hu, Jenq-Neng Hwang, Gaoang Wang
In this paper, we propose CityGen, a novel end-to-end framework for infinite, diverse and controllable 3D city layout generation. First, we propose an outpainting pipeline to extend the local layout to an infinite city layout.
no code implementations • 7 Jul 2023 • Zhonghan Zhao, Wenhao Chai, Shengyu Hao, Wenhao Hu, Guanhong Wang, Shidong Cao, Mingli Song, Jenq-Neng Hwang, Gaoang Wang
Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision.
no code implementations • 8 May 2023 • Wenhao Hu
Some methods utilize depth estimation to obtain depth corresponding to RGB to improve the accuracy of face recognition.
no code implementations • 27 Mar 2023 • Xuechen Guo, Wenhao Hu, Chiming Ni, Wenhao Chai, Shiyan Li, Gaoang Wang
The reconstruction network consists of two branches that predict the corrupted regions with artificial markers and simultaneously recover the missing visual contents.
no code implementations • 1 Mar 2023 • Wenhao Hu, Yingying Liu, Xuanyu Chen, Wenhao Chai, Hangyue Chen, Hongwei Wang, Gaoang Wang
With the development of computer-assisted techniques, research communities including biochemistry and deep learning have been devoted into the drug discovery field for over a decade.
no code implementations • 5 Oct 2021 • Yusui Chen, Wenhao Hu, Xiang Li
Fully convolutional networks are robust in performing semantic segmentation, with many applications from signal processing to computer vision.
no code implementations • 15 Nov 2018 • Arin Chaudhuri, Carol Sadek, Deovrat Kakde, Wenhao Hu, Hansi Jiang, Seunghyun Kong, Yuewei Liao, Sergiy Peredriy, Haoyu Wang
Support vector data description (SVDD) is a popular anomaly detection technique.
1 code implementation • 1 Sep 2017 • Hansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri
Each iteration involves only the existing support vectors and the new data point.