Ping Wei

Papers

Total Citations

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About

Ping Wei is a researcher advancing the frontiers of computer vision and deep learning, with a focus on 3D perception and action recognition. Their work bridges spatial and temporal reasoning, notably through the development of spatiotemporal neural networks that leverage joint loss functions for robust action recognition—a contribution that has garnered 30 citations and laid groundwork for understanding dynamic scenes. In 3D vision, Wei introduced a multi-cue guidance network for depth completion, integrating diverse visual signals to enhance depth estimation accuracy, and a multilevel fusion network for 3D object detection that fuses features across scales for superior performance in autonomous driving and robotics. These innovations, each earning double-digit citations, demonstrate Wei's ability to tackle fundamental challenges in sensor fusion and scene understanding. Their research not only pushes the boundaries of how machines interpret complex environments but also provides practical solutions for real-world applications. With a growing portfolio of influential work, Ping Wei stands as a rising voice in the intersection of neural architecture design and 3D perception.