3 papers
cs.CV2025
You Only Crash Once v2: Perceptually Consistent Strong Features for One-Stage Domain Adaptive Detection of Space Terrain
Timothy Chase, Christopher Wilson, Karthik Dantu
The in-situ detection of planetary, lunar, and small-body surface terrain is crucial for autonomous spacecraft applications, where learning-based computer vision methods are increa…
cs.CV2024
MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain
Timothy Chase, Karthik Dantu
The visual detection and tracking of surface terrain is required for spacecraft to safely land on or navigate within close proximity to celestial objects. Current approaches rely o…
cs.CV2024
Learning Visual Information Utility with PIXER
Yash Turkar, Timothy Chase, Christo Aluckal +1
Accurate feature detection is fundamental for various computer vision tasks, including autonomous robotics, 3D reconstruction, medical imaging, and remote sensing. Despite advancem…