1 citations · 3 across the 16 of their papers we have counts for
6 papers · 1 filter
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…
Active Human Pose Estimation via an Autonomous UAV Agent
Jingxi Chen, Botao He, Chahat Deep Singh +2
One of the core activities of an active observer involves moving to secure a "better" view of the scene, where the definition of "better" is task-dependent. This paper focuses on t…
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…
Microsaccade-inspired Event Camera for Robotics
Botao He, Ze Wang, Yuan Zhou +11
Neuromorphic vision sensors or event cameras have made the visual perception of extremely low reaction time possible, opening new avenues for high-dynamic robotics applications. Th…
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…