most citedAnyTraverse: An off-road traversability framework with VLM and human operator in the loop

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

What Not to Erase: Saliency-Constrained Augmentation for Low-Resource Handwritten Character Recognition

Paraskevi Platanou, John Pavlopoulos

Optical Character Recognition (OCR) and handwritten character recognition (HCR) in low-resource historical material collections often rely on data augmentation, yet augmentation st…

cs.RO2026

Learning Traversability for Long Horizon Off-Road Navigation

Kasi Viswanath, Jason M. Gregory, Shaunak Kolhe +1

Autonomous navigation across large off-road environments remains a challenging problem. Onboard sensors perceive only the immediate surroundings, yet safe and efficient routes depe…

cs.RO2026

Pushing Radar Odometry Beyond the Pavement: Current Capabilities and Challenges

Shaunak Kolhe, Peng Jiang, Maggie Wigness +4

Radar offers unique advantages for localization in unstructured environments, including robustness to weather, lighting, and airborne particulates. While most prior work has studie…

cs.CV2025

Stylos: Multi-View 3D Stylization with Single-Forward Gaussian Splatting

Hanzhou Liu, Jia Huang, Mi Lu +2

We present Stylos, a single-forward 3D Gaussian framework for 3D style transfer that operates on unposed content, from a single image to a multi-view collection, conditioned on a s…

cs.CV2025★ 1 cited

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop

Sattwik Sahu, Agamdeep Singh, Karthik Nambiar +2

Off-road traversability segmentation enables autonomous navigation with applications in search-and-rescue, military operations, wildlife exploration, and agriculture. Current frame…