Ning Lv

Harbin Engineering University, Tianjin University

Papers

Total Citations

202

H-Index

About

Ning Lv is a researcher whose work spans computer vision and medical robotics, with a particular focus on optical flow estimation and haptic feedback systems. Lv’s most influential contribution is the comprehensive survey “Optical flow and scene flow estimation: A survey” (2021), which has garnered 187 citations, establishing it as a key reference in the field of motion perception in video. This work synthesizes decades of research, providing a critical roadmap for understanding and advancing flow estimation techniques. In parallel, Lv has explored self-supervised depth estimation, as seen in the 2021 paper on monocular depth training using triplet attention and funnel activation (11 citations), demonstrating a commitment to efficient, learning-based approaches for 3D scene understanding. Earlier in their career, Lv contributed to medical robotics with the design of a novel force-reflecting haptic device for minimally invasive surgery robots (2013, 4 citations), addressing the critical need for tactile feedback in robotic surgery. This work highlights Lv’s ability to bridge theoretical advances in perception with practical, human-centered applications. Through these diverse contributions, Ning Lv has made a meaningful impact on both the algorithmic foundations of computer vision and the engineering of surgical robotic systems.