40 citations · 154 across the 26 of their papers we have counts for
6 papers · 1 filter
DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
Chao Chen, Xinhao Liu, Yiming Li +2
LiDAR mapping is important yet challenging in self-driving and mobile robotics. To tackle such a global point cloud registration problem, DeepMapping converts the complex map estim…
PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework
Bowen Li, Ziyuan Huang, Junjie Ye +4
Visual object tracking is essential to intelligent robots. Most existing approaches have ignored the online latency that can cause severe performance degradation during real-world…
Uncertainty Quantification of Collaborative Detection for Self-Driving
Sanbao Su, Yiming Li, Sihong He +4
Sharing information between connected and autonomous vehicles (CAVs) fundamentally improves the performance of collaborative object detection for self-driving. However, CAVs still…
Self-Supervised Place Recognition by Refining Temporal and Featural Pseudo Labels from Panoramic Data
Chao Chen, Zegang Cheng, Xinhao Liu +4
Visual place recognition (VPR) using deep networks has achieved state-of-the-art performance. However, most of them require a training set with ground truth sensor poses to obtain…
Egocentric Prediction of Action Target in 3D
Yiming Li, Ziang Cao, Andrew Liang +4
We are interested in anticipating as early as possible the target location of a person's object manipulation action in a 3D workspace from egocentric vision. It is important in fie…
V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving
Yiming Li, Dekun Ma, Ziyan An +4
Vehicle-to-everything (V2X) communication techniques enable the collaboration between vehicles and many other entities in the neighboring environment, which could fundamentally imp…