no code implementations • ECCV 2020 • Liangliang Ren, Yangyang Song, Jiwen Lu, Jie zhou
Unlike most existing works that define room layout on a 2D image, we model the layout in 3D as a configuration of the camera and the room.
no code implementations • 1 Sep 2022 • Pan Wang, Liangliang Ren, Shengkai Wu, Jinrong Yang, En Yu, Hangcheng Yu, Xiaoping Li
The point cloud based 3D single object tracking has drawn increasing attention.
1 code implementation • ICCV 2021 • Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu
In this paper, we present a distribution discrimination (DisDis) method to predict personalized motion patterns by distinguishing the potential distributions.
no code implementations • ECCV 2018 • Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, Jie zhou
To address this, we develop a deep prediction-decision network in our C-DRL, which simultaneously detects and predicts objects under a unified network via deep reinforcement learning.
no code implementations • ECCV 2018 • Xin Yuan, Liangliang Ren, Jiwen Lu, Jie zhou
In this paper, we propose a simple yet effective relaxation-free method to learn more effective binary codes via policy gradient for scalable image search.
no code implementations • ECCV 2018 • Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou
Visual tracking is confronted by the dilemma to locate a target both}accurately and efficiently, and make decisions online whether and how to adapt the appearance model or even restart tracking.
no code implementations • CVPR 2017 • Ji Lin, Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie zhou
In this paper, we propose a consistent-aware deep learning (CADL) framework for person re-identification in a camera network.