11 citations · 12 across the 9 of their papers we have counts for
9 papers
High-speed Imaging through Turbulence with Event-based Light Fields
Yu-Hsiang Huang, Levi Burner, Sachin Shah +3
This work introduces and demonstrates the first system capable of imaging fast-moving extended non-rigid objects through strong atmospheric turbulence at high frame rate. Event cam…
Artificial Microsaccade Compensation: Stable Vision for an Ornithopter
Levi Burner, Guido de Croon, Yiannis Aloimonos
Animals with foveated vision, including humans, experience microsaccades, small, rapid eye movements that they are not aware of. Inspired by this phenomenon, we develop a method fo…
Odometry Without Correspondence from Inertially Constrained Ruled Surfaces
Chenqi Zhu, Levi Burner, Yiannis Aloimonos
Visual odometry techniques typically rely on feature extraction from a sequence of images and subsequent computation of optical flow. This point-to-point correspondence between two…
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…
Extremum Seeking Controlled Wiggling for Tactile Insertion
Levi Burner, Pavan Mantripragada, Gabriele M. Caddeo +3
When humans perform complex insertion tasks such as pushing a cup into a cupboard, routing a cable, or putting a key in a lock, they wiggle the object and adapt the process through…
Embodied Visuomotor Representation
Levi Burner, Cornelia Fermüller, Yiannis Aloimonos
Imagine sitting at your desk, looking at objects on it. You do not know their exact distances from your eye in meters, but you can immediately reach out and touch them. Instead of…
EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow, Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with Monocular or Stereo Algorithms
Levi Burner, Anton Mitrokhin, Cornelia Fermüller +1
A new event camera dataset, EVIMO2, is introduced that improves on the popular EVIMO dataset by providing more data, from better cameras, in more complex scenarios. As with its pre…
TTCDist: Fast Distance Estimation From an Active Monocular Camera Using Time-to-Contact
Levi Burner, Nitin J. Sanket, Cornelia Fermüller +1
Distance estimation from vision is fundamental for a myriad of robotic applications such as navigation, manipulation, and planning. Inspired by the mammal's visual system, which ga…