1 code implementation • ICCV 2021 • Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang
Image-to-image translation has been revolutionized with GAN-based methods.
no code implementations • 23 Oct 2020 • Qichuan Geng, Hong Zhang, Na Jiang, Xiaojuan Qi, Liangjun Zhang, Zhong Zhou
As a consequence, augmenting features with such prior knowledge can effectively improve the classification and localization performance.
no code implementations • 19 Jan 2020 • Qichuan Geng, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Zhong Zhou, Gao Huang
Semantic segmentation is a challenging task that needs to handle large scale variations, deformations and different viewpoints.
1 code implementation • 23 Jan 2019 • Wei Li, Chengwei Pan, Rong Zhang, Jiaping Ren, Yuexin Ma, Jin Fang, Feilong Yan, Qichuan Geng, Xinyu Huang, Huajun Gong, Weiwei Xu, Guoping Wang, Dinesh Manocha, Ruigang Yang
Our augmented approach combines the flexibility in a virtual environment (e. g., vehicle movements) with the richness of the real world to allow effective simulation of anywhere on earth.
no code implementations • 27 Nov 2018 • Qichuan Geng, Hong Zhang, Xinyu Huang, Sen Wang, Feixiang Lu, Xinjing Cheng, Zhong Zhou, Ruigang Yang
As it is labor-intensive to annotate semantic parts on real street views, we propose a specific approach to implicitly transfer part features from synthesized images to real street views.
no code implementations • 1 Aug 2018 • Qichuan Geng, Xinyu Huang, Zhong Zhou, Ruigang Yang
Confusing classes that are ubiquitous in real world often degrade performance for many vision related applications like object detection, classification, and segmentation.
2 code implementations • 16 Mar 2018 • Xinyu Huang, Peng Wang, Xinjing Cheng, Dingfu Zhou, Qichuan Geng, Ruigang Yang
In this paper, we provide a sensor fusion scheme integrating camera videos, consumer-grade motion sensors (GPS/IMU), and a 3D semantic map in order to achieve robust self-localization and semantic segmentation for autonomous driving.