3 papers
eess.IV2024
Benchmarking the Robustness of Optical Flow Estimation to Corruptions
Zhonghua Yi, Hao Shi, Qi Jiang +5
Optical flow estimation is extensively used in autonomous driving and video editing. While existing models demonstrate state-of-the-art performance across various benchmarks, the r…
cs.CV2024
EI-Nexus: Towards Unmediated and Flexible Inter-Modality Local Feature Extraction and Matching for Event-Image Data
Zhonghua Yi, Hao Shi, Qi Jiang +5
Event cameras, with high temporal resolution and high dynamic range, have limited research on the inter-modality local feature extraction and matching of event-image data. We propo…
cs.CV2023
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous Driving
Zhonghua Yi, Hao Shi, Kailun Yang +5
Key-point-based scene understanding is fundamental for autonomous driving applications. At the same time, optical flow plays an important role in many vision tasks. However, due to…