1 code implementation • 18 Aug 2022 • Guodong Xu, Yuenan Hou, Ziwei Liu, Chen Change Loy
To further enhance the semantic consistency between the teacher and student model, we present a latent-direction-based distillation loss that preserves the semantic relations in latent space.
no code implementations • 29 Sep 2021 • Guodong Xu, Yuenan Hou, Ziwei Liu, Chen Change Loy
To further enhance the semantic consistency between the teacher and student model, we present another latent-direction-based distillation loss that preserves the semantic relations in latent space.
1 code implementation • CVPR 2021 • Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin
Recent works have shown that interval bound propagation (IBP) can be used to train verifiably robust neural networks.
no code implementations • 24 Mar 2021 • Liang Xie, Guodong Xu, Deng Cai, Xiaofei He
3D object detection algorithms for autonomous driving reason about 3D obstacles either from 3D birds-eye view or perspective view or both.
1 code implementation • 18 Mar 2021 • Zili Liu, Guodong Xu, Honghui Yang, Minghao Chen, Kuoliang Wu, Zheng Yang, Haifeng Liu, Deng Cai
In this work, we propose a suppress-and-refine framework to remove these handcrafted components.
1 code implementation • 17 Dec 2020 • Guodong Xu, Ziwei Liu, Chen Change Loy
Our goal is to achieve a performance comparable to conventional knowledge distillation with a lower computation cost during training.
2 code implementations • ECCV 2020 • Guodong Xu, Ziwei Liu, Xiaoxiao Li, Chen Change Loy
Knowledge distillation, which involves extracting the "dark knowledge" from a teacher network to guide the learning of a student network, has emerged as an important technique for model compression and transfer learning.
Ranked #32 on Knowledge Distillation on ImageNet
4 code implementations • CVPR 2020 • Anyi Rao, Linning Xu, Yu Xiong, Guodong Xu, Qingqiu Huang, Bolei Zhou, Dahua Lin
Scene, as the crucial unit of storytelling in movies, contains complex activities of actors and their interactions in a physical environment.
no code implementations • 1 Apr 2020 • Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai
3D object detection based on point clouds has become more and more popular.
no code implementations • 14 Nov 2019 • Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He
Moreover, based on the PACF module, we propose a 3D multi-sensor multi-task network called Pointcloud-Image RCNN(PI-RCNN as brief), which handles the image segmentation and 3D object detection tasks.
no code implementations • 25 Sep 2019 • Hao Sun, Bo Dai, Jiankai Sun, Zhenghao Peng, Guodong Xu, Dahua Lin, Bolei Zhou
In this work we model the social influence into the scheme of reinforcement learning, enabling the agents to learn both from the environment and from their peers.
6 code implementations • 2 Sep 2019 • Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai
Experiments on MS COCO show that our TTFNet has great advantages in balancing training time, inference speed, and accuracy.
no code implementations • 28 Aug 2018 • Guodong Xu, Yu Xia, Hui Ji
Data clustering is a fundamental problem with a wide range of applications.
no code implementations • 28 Aug 2018 • Guodong Xu, Chaoqiang Liu, Hui Ji
Reproducing an all-in-focus image from an image with defocus regions is of practical value in many applications, eg, digital photography, and robotics.
no code implementations • ICCV 2017 • Guodong Xu, Yuhui Quan, Hui Ji
This paper addresses the problem of defocus map estimation from a single image.