24 citations · 35 across the 5 of their papers we have counts for
5 papers
LANe: Lighting-Aware Neural Fields for Compositional Scene Synthesis
Akshay Krishnan, Amit Raj, Xianling Zhang +5
Neural fields have recently enjoyed great success in representing and rendering 3D scenes. However, most state-of-the-art implicit representations model static or dynamic scenes as…
CLONeR: Camera-Lidar Fusion for Occupancy Grid-aided Neural Representations
Alexandra Carlson, Manikandasriram Srinivasan Ramanagopal, Nathan Tseng +3
Recent advances in neural radiance fields (NeRFs) achieve state-of-the-art novel view synthesis and facilitate dense estimation of scene properties. However, NeRFs often fail for l…
Shadow Transfer: Single Image Relighting For Urban Road Scenes
Alexandra Carlson, Ram Vasudevan, Matthew Johnson-Roberson
Illumination effects in images, specifically cast shadows and shading, have been shown to decrease the performance of deep neural networks on a large number of vision-based detecti…
Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation
Alexandra Carlson, Katherine A. Skinner, Ram Vasudevan +1
Performance on benchmark datasets has drastically improved with advances in deep learning. Still, cross-dataset generalization performance remains relatively low due to the domain…
Modeling Camera Effects to Improve Visual Learning from Synthetic Data
Alexandra Carlson, Katherine A. Skinner, Ram Vasudevan +1
Recent work has focused on generating synthetic imagery to increase the size and variability of training data for learning visual tasks in urban scenes. This includes increasing th…