28 citations · 28 across the 4 of their papers we have counts for
4 papers
Self-supervised Monocular Depth Estimation on Water Scenes via Specular Reflection Prior
Zhengyang Lu, Ying Chen
Monocular depth estimation from a single image is an ill-posed problem for computer vision due to insufficient reliable cues as the prior knowledge. Besides the inter-frame supervi…
City Scene Super-Resolution via Geometric Error Minimization
Zhengyang Lu, Feng Wang
Super-resolution techniques are crucial in improving image granularity, particularly in complex urban scenes, where preserving geometric structures is vital for data-informed cultu…
Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis
Zhengyang Lu, Stefan Siemer, Piyush Jha +3
Modern SMT solvers, such as Z3, offer user-controllable strategies, enabling users to tailor solving strategies for their unique set of instances, thus dramatically enhancing solve…
Joint Self-supervised Depth and Optical Flow Estimation towards Dynamic Objects
Zhengyang Lu, Ying Chen
Significant attention has been attracted to deep learning-based depth estimates. Dynamic objects become the most hard problems in inter-frame-supervised depth estimates due to the…