40 citations · 154 across the 26 of their papers we have counts for
26 papers
SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving
Yiming Li, Sihang Li, Xinhao Liu +11
Monocular scene understanding is a foundational component of autonomous systems. Within the spectrum of monocular perception topics, one crucial and useful task for holistic 3D sce…
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
Yiming Li, Zhiding Yu, Christopher Choy +5
Humans can easily imagine the complete 3D geometry of occluded objects and scenes. This appealing ability is vital for recognition and understanding. To enable such capability in A…
Metric-Free Exploration for Topological Mapping by Task and Motion Imitation in Feature Space
Yuhang He, Irving Fang, Yiming Li +2
We propose DeepExplorer, a simple and lightweight metric-free exploration method for topological mapping of unknown environments. It performs task and motion planning (TAMP) entire…
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation
Sanbao Su, Songyang Han, Yiming Li +4
Object detection and multiple object tracking (MOT) are essential components of self-driving systems. Accurate detection and uncertainty quantification are both critical for onboar…
Among Us: Adversarially Robust Collaborative Perception by Consensus
Yiming Li, Qi Fang, Jiamu Bai +3
Multiple robots could perceive a scene (e.g., detect objects) collaboratively better than individuals, although easily suffer from adversarial attacks when using deep learning. Thi…
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…