4 papers
FSHNet: Fully Sparse Hybrid Network for 3D Object Detection
Shuai Liu, Mingyue Cui, Boyang Li +4
Fully sparse 3D detectors have recently gained significant attention due to their efficiency in long-range detection. However, sparse 3D detectors extract features only from non-em…
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
Shuai Liu, Quanmin Liang, Zefeng Li +2
Multi-sensor fusion is crucial for improving the performance and robustness of end-to-end autonomous driving systems. Existing methods predominantly adopt either attention-based fl…
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion
Quanmin Liang, Zhilin Huang, Xiawu Zheng +4
Current Event Stream Super-Resolution (ESR) methods overlook the redundant and complementary information present in positive and negative events within the event stream, employing…
Bilateral Event Mining and Complementary for Event Stream Super-Resolution
Zhilin Huang, Quanmin Liang, Yijie Yu +5
Event Stream Super-Resolution (ESR) aims to address the challenge of insufficient spatial resolution in event streams, which holds great significance for the application of event c…