Search Results for author: Guohui Zhang

Found 6 papers, 0 papers with code

World Models for Autonomous Driving: An Initial Survey

no code implementations5 Mar 2024 Yanchen Guan, Haicheng Liao, Zhenning Li, Guohui Zhang, Chengzhong Xu

In the rapidly evolving landscape of autonomous driving, the capability to accurately predict future events and assess their implications is paramount for both safety and efficiency, critically aiding the decision-making process.

Autonomous Driving Decision Making

A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization

no code implementations13 Jul 2021 Zhenning Li, Chengzhong Xu, Guohui Zhang

Inefficient traffic signal control methods may cause numerous problems, such as traffic congestion and waste of energy.

reinforcement-learning Reinforcement Learning (RL)

Cascade Feature Aggregation for Human Pose Estimation

no code implementations21 Feb 2019 Zhihui Su, Ming Ye, Guohui Zhang, Lei Dai, Jianda Sheng

Features from different stages are aggregated to obtain abundant contextual information, leading to robustness to poses, partial occlusions and low resolution.

Ranked #3 on Pose Estimation on MPII Human Pose (using extra training data)

Pose Estimation

Cross-domain attribute representation based on convolutional neural network

no code implementations17 May 2018 Guohui Zhang, Gaoyuan Liang, Fang Su, Fanxin Qu, Jing-Yan Wang

We proposed to embed the attributes of dif-ferent domains by a shared convolutional neural network (CNN), learn a domain-independent CNN model to represent the information shared by dif-ferent domains by matching across domains, and a domain-specific CNN model to represent the information of each domain.

Attribute Transfer Learning

A novel image tag completion method based on convolutional neural network

no code implementations2 Mar 2017 Yanyan Geng, Guohui Zhang, Weizhi Li, Yi Gu, Ru-Ze Liang, Gaoyuan Liang, Jingbin Wang, Yanbin Wu, Nitin Patil, Jing-Yan Wang

In this paper, we study the problem of image tag complete and proposed a novel method for this problem based on a popular image representation method, convolutional neural network (CNN).

Image Retrieval Retrieval +1

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