Levi Burner
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View article: Embodied visuomotor representation
Embodied visuomotor representation Open
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 an externally defined unit, your sense of distance is tied …
View article: Learning Normal Flow Directly From Event Neighborhoods
Learning Normal Flow Directly From Event Neighborhoods Open
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, lack cross-domain transferability, while model-based methods…
View article: Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation
Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Open
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 additional guidance, the large motion between frames makes this pr…
View article: Extremum Seeking Controlled Wiggling for Tactile Insertion
Extremum Seeking Controlled Wiggling for Tactile Insertion Open
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 tactile feedback. A similar robotic approach has not been …
View article: Embodied Visuomotor Representation
Embodied Visuomotor Representation Open
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 an externally defined unit, your sense of distance is tied …
View article: 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
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 Open
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 predecessor, EVIMO2 provides labels in the form of per-pixel g…
View article: TTCDist: Fast Distance Estimation From an Active Monocular Camera Using Time-to-Contact
TTCDist: Fast Distance Estimation From an Active Monocular Camera Using Time-to-Contact Open
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 gazes at specific objects, we develop two novel constraints r…