7 citations · 34 across the 19 of their papers we have counts for
19 papers
DPCN++: Differentiable Phase Correlation Network for Versatile Pose Registration
Zexi Chen, Yiyi Liao, Haozhe Du +5
Pose registration is critical in vision and robotics. This paper focuses on the challenging task of initialization-free pose registration up to 7DoF for homogeneous and heterogeneo…
Depth-Independent Depth Completion via Least Square Estimation
Xianze Fang, Yunkai Wang, Zexi Chen +2
The depth completion task aims to complete a per-pixel dense depth map from a sparse depth map. In this paper, we propose an efficient least square based depth-independent method t…
Domain Generalization for Vision-based Driving Trajectory Generation
Yunkai Wang, Dongkun Zhang, Yuxiang Cui +5
One of the challenges in vision-based driving trajectory generation is dealing with out-of-distribution scenarios. In this paper, we propose a domain generalization method for visi…
Learning Interpretable BEV Based VIO without Deep Neural Networks
Zexi Chen, Haozhe Du, Xuecheng Xu +3
Monocular visual-inertial odometry (VIO) is a critical problem in robotics and autonomous driving. Traditional methods solve this problem based on filtering or optimization. While…
Learn to Differ: Sim2Real Small Defection Segmentation Network
Zexi Chen, Zheyuan Huang, Yunkai Wang +3
Recent studies on deep-learning-based small defection segmentation approaches are trained in specific settings and tend to be limited by fixed context. Throughout the training, the…
Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign Language
Haodong Zhang, Weijie Li, Jiangpin Liu +4
Motion retargeting from a human demonstration to a robot is an effective way to reduce the professional requirements and workload of robot programming, but faces the challenges res…
Collaborative Recognition of Feasible Region with Aerial and Ground Robots through DPCN
Yunshuang Li, Zheyuan Huang, Zexi chen +2
Ground robots always get collision in that only if they get close to the obstacles, can they sense the danger and take actions, which is usually too late to avoid the crash, causin…
PREGAN: Pose Randomization and Estimation for Weakly Paired Image Style Translation
Zexi Chen, Jiaxin Guo, Xuecheng Xu +3
Utilizing the trained model under different conditions without data annotation is attractive for robot applications. Towards this goal, one class of methods is to translate the ima…
DiSCO: Differentiable Scan Context with Orientation
Xuecheng Xu, Huan Yin, Zexi Chen +2
Global localization is essential for robot navigation, of which the first step is to retrieve a query from the map database. This problem is called place recognition. In recent yea…
Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory
Yunkai Wang, Dongkun Zhang, Jingke Wang +3
One of the challenges to reduce the gap between the machine and the human level driving is how to endow the system with the learning capacity to deal with the coupled complexity of…
Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching
Zexi Chen, Xuecheng Xu, Yue Wang +1
The crucial step for localization is to match the current observation to the map. When the two sensor modalities are significantly different, matching becomes challenging. In this…
Collaborative Localization of Aerial and Ground Mobile Robots through Orthomosaic Map
Xuecheng Xu, Zexi Chen, Jiaxin Guo +3
With the deepening of research on the SLAM system, the possibility of cooperative SLAM with multi-robots has been proposed. This paper presents a map matching and localization appr…
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning
Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai
Generative Adversarial Networks (GANs) based semi-supervised learning (SSL) approaches are shown to improve classification performance by utilizing a large number of unlabeled samp…
Local Clustering with Mean Teacher for Semi-supervised Learning
Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra +2
The Mean Teacher (MT) model of Tarvainen and Valpola has shown favorable performance on several semi-supervised benchmark datasets. MT maintains a teacher model's weights as the ex…
Multi-agent Collaboration for Feasible Collaborative Behavior Construction and Evaluation
Yunkai Wang, Shenhan Jia, Zexi Chen +2
In the case of the two-person zero-sum stochastic game with a central controller, this paper proposes a best collaborative behavior search and selection algorithm based on reinforc…
Champion Team Paper: Dynamic Passing-Shooting Algorithm Based on CUDA of The RoboCup SSL 2019 Champion
Zexi Chen, Haodong Zhang, Dashun Guo +9
ZJUNlict became the Small Size League Champion of RoboCup 2019 with 6 victories and 1 tie for their 7 games. The overwhelming ability of ball-handling and passing allows ZJUNlict t…
Mechatronic Design of a Dribbling System for RoboCup Small Size Robot
Zheyuan Huang, Yunkai Wang, Lingyun Chen +3
RoboCup SSL is an excellent platform for researching artificial intelligence and robotics. The dribbling system is an essential issue, which is the main part for completing advance…
ZJUNlict Extended Team Description Paper for RoboCup 2019
Zheyuan Huang, Lingyun Chen, Jiacheng Li +6
For the Small Size League of RoboCup 2018, Team ZJUNLict has won the champion and therefore, this paper thoroughly described the devotion which ZJUNLict has devoted and the effort…
Relational Long Short-Term Memory for Video Action Recognition
Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu +1
Spatial and temporal relationships, both short-range and long-range, between objects in videos, are key cues for recognizing actions. It is a challenging problem to model them join…