3 papers
cs.RO2026
UniDWM: Towards a Unified Driving World Model via Multifaceted Representation Learning
Shuai Liu, Siheng Ren, Xiaoyao Zhu +5
Achieving reliable and efficient planning in complex driving environments requires a model that can reason over the scene's geometry, appearance, and dynamics. We present UniDWM, a…
cs.CV2024
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…
cs.CV2024
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…