1 citations · 3 across the 16 of their papers we have counts for
4 papers · 2 filters
Learning Normal Flow Directly From Event Neighborhoods
Dehao Yuan, Levi Burner, Jiayi Wu +4
Event-based motion field estimation is an important task. However, current optical flow methods face challenges: learning-based approaches, often frame-based and relying on CNNs, l…
Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation
Jingxi Chen, Brandon Y. Feng, Haoming Cai +6
Video Frame Interpolation aims to recover realistic missing frames between observed frames, generating a high-frame-rate video from a low-frame-rate video. However, without additio…
CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras
Sachin Shah, Matthew Albert Chan, Haoming Cai +5
Point-spread-function (PSF) engineering is a well-established computational imaging technique that uses phase masks and other optical elements to embed extra information (e.g., dep…
TimeRewind: Rewinding Time with Image-and-Events Video Diffusion
Jingxi Chen, Brandon Y. Feng, Haoming Cai +4
This paper addresses the novel challenge of ``rewinding'' time from a single captured image to recover the fleeting moments missed just before the shutter button is pressed. This p…