6 papers · 1 filter
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…
3DGS-ReLoc: 3D Gaussian Splatting for Map Representation and Visual ReLocalization
Peng Jiang, Gaurav Pandey, Srikanth Saripalli
This paper presents a novel system designed for 3D mapping and visual relocalization using 3D Gaussian Splatting. Our proposed method uses LiDAR and camera data to create accurate…
Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation
Kasi Viswanath, Peng Jiang, Srikanth Saripalli
LiDAR semantic segmentation frameworks predominantly use geometry-based features to differentiate objects within a scan. Although these methods excel in scenarios with clear bounda…
Off-Road LiDAR Intensity Based Semantic Segmentation
Kasi Viswanath, Peng Jiang, Sujit PB +1
LiDAR is used in autonomous driving to provide 3D spatial information and enable accurate perception in off-road environments, aiding in obstacle detection, mapping, and path plann…
GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction
Jia Huang, Peng Jiang, Alvika Gautam +1
Predicting pedestrian behavior is the key to ensure safety and reliability of autonomous vehicles. While deep learning methods have been promising by learning from annotated video…
ROSS: Radar Off-road Semantic Segmentation
Peng Jiang, Srikanth Saripalli
As the demand for autonomous navigation in off-road environments increases, the need for effective solutions to understand these surroundings becomes essential. In this study, we c…