1 citations · 2 across the 6 of their papers we have counts for
3 papers
cs.CV2023
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
Hongge Chen, Zhao Chen, Gregory P. Meyer +4
We present SHIFT3D, a differentiable pipeline for generating 3D shapes that are structurally plausible yet challenging to 3D object detectors. In safety-critical applications like…
cs.CV2023
NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects
Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela +3
We propose a novel-view augmentation (NOVA) strategy to train NeRFs for photo-realistic 3D composition of dynamic objects in a static scene. Compared to prior work, our framework s…
cs.CV2023★ 1 cited
AptSim2Real: Approximately-Paired Sim-to-Real Image Translation
Charles Y Zhang, Ashish Shrivastava
Advancements in graphics technology has increased the use of simulated data for training machine learning models. However, the simulated data often differs from real-world data, cr…