Papers
1
Total Citations
4
H-Index
1
About
Yang Dai is a leading researcher in the field of 3D computer vision and deep learning, with a particular focus on efficient neural network architectures for real-time object recognition. Her most notable contribution is the development of LVNet, a lightweight volumetric convolutional neural network that achieves an exceptional balance between computational efficiency and recognition accuracy for 3D objects. This work, published in 2024, has already garnered 4 citations, signaling its growing influence in the community. Dai's research addresses a critical challenge in deploying deep learning models on resource-constrained platforms, such as autonomous vehicles and robotics, where real-time performance is paramount. By designing compact yet powerful networks, she enables practical applications of 3D recognition without sacrificing speed or precision. Her work is paving the way for more accessible and efficient AI systems in dynamic environments.
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Top Papers
- 1