2 citations · 6 across the 8 of their papers we have counts for
8 papers · 1 filter
Imaging Hidden Objects with Consumer LiDAR via Motion Induced Sampling
Siddharth Somasundaram, Aaron Young, Akshat Dave +2
LiDARs are being increasingly deployed for consumer imaging in handheld, wearable, and robotic applications. These sensors can capture the time-of-flight of light at picosecond res…
Shoot-Bounce-3D: Single-Shot Occlusion-Aware 3D from Lidar by Decomposing Two-Bounce Light
Tzofi Klinghoffer, Siddharth Somasundaram, Xiaoyu Xiang +5
3D scene reconstruction from a single measurement is challenging, especially in the presence of occluded regions and specular materials, such as mirrors. We address these challenge…
Task-Driven Implicit Representations for Automated Design of LiDAR Systems
Nikhil Behari, Aaron Young, Tzofi Klinghoffer +2
Imaging system design is a complex, time-consuming, and largely manual process; LiDAR design, ubiquitous in mobile devices, autonomous vehicles, and aerial imaging platforms, adds…
NeST: Neural Stress Tensor Tomography by leveraging 3D Photoelasticity
Akshat Dave, Tianyi Zhang, Aaron Young +3
Photoelasticity enables full-field stress analysis in transparent objects through stress-induced birefringence. Existing techniques are limited to 2D slices and require destructive…
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
Zaid Tasneem, Akshat Dave, Abhishek Singh +4
Neural radiance fields (NeRFs) show potential for transforming images captured worldwide into immersive 3D visual experiences. However, most of this captured visual data remains si…
SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition
Nikhil Behari, Akshat Dave, Kushagra Tiwary +2
3D modeling from satellite imagery is essential in areas of environmental science, urban planning, agriculture, and disaster response. However, traditional 3D modeling techniques f…