Publications (5)
Generalized Event Cameras
Varun Sundar, Matthew Dutson, Andrei Ardelean +3
Event cameras capture the world at high time resolution and with minimal bandwidth requirements. However, event streams, which only encode changes in brightness, do not contain suf…
Streaming quanta sensors for online, high-performance imaging and vision
Tianyi Zhang, Matthew Dutson, Vivek Boominathan +2
Recently quanta image sensors (QIS) -- ultra-fast, zero-read-noise binary image sensors -- have demonstrated remarkable imaging capabilities in many challenging scenarios. Despite…
Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks
Matthew Dutson, Nathan Labiosa, Yin Li +1
When applied sequentially to video, frame-based networks often exhibit temporal inconsistency - for example, outputs that flicker between frames. This problem is amplified when the…
Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers
Matthew Dutson, Yin Li, Mohit Gupta
Vision Transformers achieve impressive accuracy across a range of visual recognition tasks. Unfortunately, their accuracy frequently comes with high computational costs. This is a…
Event Neural Networks
Matthew Dutson, Yin Li, Mohit Gupta
Video data is often repetitive; for example, the contents of adjacent frames are usually strongly correlated. Such redundancy occurs at multiple levels of complexity, from low-leve…