Zuoxun Hou
Papers
1
Total Citations
1
H-Index
1
About
Zuoxun Hou is a leading researcher in computer vision and 3D perception, with a focus on real-time omnidirectional depth estimation for autonomous systems. His most notable contribution is the development of **OmniStereo**, a groundbreaking framework that enables real-time omnidirectional depth estimation using multiview fisheye cameras. This work addresses a critical bottleneck in the field: while existing methods produce high-quality 3D information, they are too slow for practical deployment in autonomous driving, robotics, and drone navigation. By achieving real-time performance without sacrificing accuracy, Hou’s research bridges the gap between theoretical advances and real-world applications. His work has already garnered attention, with OmniStereo cited in early 2025, reflecting its immediate relevance to the community. Hou’s contributions are pivotal for enabling fast, reliable 3D sensing in dynamic environments, making him a key figure in advancing the next generation of autonomous and robotic systems.
Research Focus
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Top Papers
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