2 citations · 3 across the 5 of their papers we have counts for
6 papers
Lumos3D: A Single-Forward Framework for Low-Light 3D Scene Restoration
Hanzhou Liu, Peng Jiang, Jia Huang +1
Restoring 3D scenes with low-light conditions is challenging, and most existing methods depend on precomputed camera poses and scene-specific optimization, which greatly restricts…
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…
GO: The Great Outdoors Multimodal Dataset
Peng Jiang, Kasi Viswanath, Akhil Nagariya +8
The Great Outdoors (GO) dataset is a multi-modal annotated data resource aimed at advancing ground robotics research in unstructured environments. Existing off-road datasets often…
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…
WiDEVIEW: An UltraWideBand and Vision Dataset for Deciphering Pedestrian-Vehicle Interactions
Jia Huang, Alvika Gautam, Junghun Choi +1
Robust and accurate tracking and localization of road users like pedestrians and cyclists is crucial to ensure safe and effective navigation of Autonomous Vehicles (AVs), particula…
Learning Pedestrian Actions to Ensure Safe Autonomous Driving
Jia Huang, Alvika Gautam, Srikanth Saripalli
To ensure safe autonomous driving in urban environments with complex vehicle-pedestrian interactions, it is critical for Autonomous Vehicles (AVs) to have the ability to predict pe…