collaborators
Showing cs.CVShow all

8 papers · 1 filter

cs.CV2026

Dual-Exposure Imaging with Events

Mingyuan Lin, Hongyi Liu, Chu He +3

By combining complementary benefits of short- and long-exposure images, Dual-Exposure Imaging (DEI) enhances image quality in low-light scenarios. However, existing DEI approaches…

cs.CV2024

Learning Monocular Depth from Focus with Event Focal Stack

Chenxu Jiang, Mingyuan Lin, Chi Zhang +2

Depth from Focus estimates depth by determining the moment of maximum focus from multiple shots at different focal distances, i.e. the Focal Stack. However, the limited sampling ra…

cs.CV2024

Super-Resolving Blurry Images with Events

Chi Zhang, Mingyuan Lin, Xiang Zhang +2

Super-resolution from motion-blurred images poses a significant challenge due to the combined effects of motion blur and low spatial resolution. To address this challenge, this pap…

cs.CV2024

Non-Uniform Exposure Imaging via Neuromorphic Shutter Control

Mingyuan Lin, Jian Liu, Chi Zhang +3

By leveraging the blur-noise trade-off, imaging with non-uniform exposures largely extends the image acquisition flexibility in harsh environments. However, the limitation of conve…

cs.CV2023

CrossZoom: Simultaneously Motion Deblurring and Event Super-Resolving

Chi Zhang, Xiang Zhang, Mingyuan Lin +5

Even though the collaboration between traditional and neuromorphic event cameras brings prosperity to frame-event based vision applications, the performance is still confined by th…

cs.CV2023

Learning Parallax for Stereo Event-based Motion Deblurring

Mingyuan Lin, Chi Zhang, Chu He +1

Due to the extremely low latency, events have been recently exploited to supplement lost information for motion deblurring. Existing approaches largely rely on the perfect pixel-wi…