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Bridge Frame and Event: Common Spatiotemporal Fusion for High-Dynamic Scene Optical Flow
In this work, we propose a novel common spatiotemporal fusion between frame and event modalities for high-dynamic scene optical flow, including visual boundary localization and motion correlation fusion.
CoSEC: A Coaxial Stereo Event Camera Dataset for Autonomous Driving
In this work, we introduce hybrid coaxial event-frame devices to build the multimodal system, and propose a coaxial stereo event camera (CoSEC) dataset for autonomous driving.
LED: A Large-scale Real-world Paired Dataset for Event Camera Denoising
Event camera has significant advantages in capturing dynamic scene information while being prone to noise interference, particularly in challenging conditions like low threshold and low illumination.
Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow
In appearance adaptation, we employ the intrinsic image decomposition to embed the auxiliary daytime image and the nighttime image into a reflectance-aligned common space.
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