Papers
2
Total Citations
40
H-Index
2
About
Liang Deng is a researcher whose work spans computer vision and materials science, demonstrating a unique interdisciplinary breadth. In computer vision, Deng has contributed to pedestrian detection systems for autonomous driving and robotics. Their 2013 paper, "Integrating Orientation Cue With EOH-OLBP-Based Multilevel Features for Human Detection," has earned 26 citations by introducing an efficient method for extracting human objectives from on-board monocular cameras—a fundamental step for smart vehicle safety. In materials science, Deng investigates the structural properties of bulk metallic glasses (BMGs). Their 2017 study, "Elastostatic reversibility in thermally formed bulk metallic glasses," with 14 citations, uses nanobeam diffraction fluctuation electron microscopy to examine how thermoplastic forming affects these polymer-like alloys. This work is critical for advancing BMGs' shaping ability, which promises to revolutionize manufacturing of products with multi-length scale features. Deng’s dual expertise highlights a capacity to tackle complex problems across distinct fields, from real-time visual detection to the atomic-scale behavior of novel materials, making their research valuable for both robotics engineers and materials scientists.
Research Focus
Key Achievements
Top Papers
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