Hang Yan

Papers

Total Citations

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About

Hang Yan is a leading researcher in computer vision and autonomous driving perception, with a focus on semantic and panoptic segmentation. His work on the **Waymo Open Dataset** has been foundational for advancing panoramic video panoptic segmentation, a critical capability for self-driving systems that requires understanding every pixel across a full 360-degree field of view. This highly influential paper has already garnered **55 citations**, reflecting its importance in the field. Yan also contributed to **Superpixel Transformers**, a novel approach that improves the efficiency of semantic segmentation by replacing computationally expensive global self-attention with superpixel-based local operations. This work demonstrates his ability to tackle the high-dimensional challenges of pixel-level classification, making segmentation more practical for real-time applications in robotics and autonomous driving. Through these contributions, Yan has helped push the boundaries of how machines perceive and understand complex visual environments, directly impacting the safety and reliability of autonomous systems.