5 papers
Match-Any-Events: Zero-Shot Motion-Robust Feature Matching Across Wide Baselines for Event Cameras
Ruijun Zhang, Hang Su, Kostas Daniilidis +1
Event cameras have recently shown promising capabilities in instantaneous motion estimation due to their robustness to low light and fast motions. However, computing wide-baseline…
L4P: Towards Unified Low-Level 4D Vision Perception
Abhishek Badki, Hang Su, Bowen Wen +1
The spatio-temporal relationship between the pixels of a video carries critical information for low-level 4D perception tasks. A single model that reasons about it should be able t…
Zero-Shot Monocular Scene Flow Estimation in the Wild
Yiqing Liang, Abhishek Badki, Hang Su +2
Large models have shown generalization across datasets for many low-level vision tasks, like depth estimation, but no such general models exist for scene flow. Even though scene fl…
nvTorchCam: An Open-source Library for Camera-Agnostic Differentiable Geometric Vision
Daniel Lichy, Hang Su, Abhishek Badki +2
We introduce nvTorchCam, an open-source library under the Apache 2.0 license, designed to make deep learning algorithms camera model-independent. nvTorchCam abstracts critical came…
FoVA-Depth: Field-of-View Agnostic Depth Estimation for Cross-Dataset Generalization
Daniel Lichy, Hang Su, Abhishek Badki +2
Wide field-of-view (FoV) cameras efficiently capture large portions of the scene, which makes them attractive in multiple domains, such as automotive and robotics. For such applica…