Zhaoxiang Jiang
Papers
1
Total Citations
1
H-Index
1
About
Dr. Zhaoxiang Jiang is a researcher specializing in computational imaging and depth sensing, with a particular focus on improving the robustness of indirect-Time-of-Flight (iToF) systems under adverse environmental conditions. His most notable contribution, the 2025 paper "A two-stage network for iToF depth image restoration in foggy environments," addresses a critical bottleneck in autonomous driving and robotics: the severe degradation of depth images caused by fog-induced scattering and absorption. By designing a two-stage deep learning architecture, Dr. Jiang effectively mitigates noise and distortion, restoring depth accuracy where traditional methods fail. This work has already garnered attention with early citations, underscoring its relevance to the growing demand for reliable perception in challenging weather. His research bridges the gap between optical physics and deep learning, offering practical solutions for real-world deployment. Dr. Jiang’s contributions are particularly impactful for fields like autonomous navigation and robotic vision, where sensor reliability is paramount. His ongoing work promises to further advance the resilience of depth-sensing technologies, making him a rising figure in computational imaging and applied machine learning.
Research Focus
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Top Papers
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