2 citations · 3 across the 7 of their papers we have counts for
7 papers
adder-viz: Real-Time Visualization Software for Transcoding Event Video
Andrew C. Freeman, Luke Reinkensmeyer
Recent years have brought about a surge in neuromorphic ``event'' video research, primarily targeting computer vision applications. Event video eschews video frames in favor of asy…
Scalable Event-Based Video Streaming for Machines with MoQ
Andrew C. Freeman
Lossy compression and rate-adaptive streaming are a mainstay in traditional video steams. However, a new class of neuromorphic ``event'' sensors records video with asynchronous pix…
Efficient Multi-Crop Saliency Partitioning for Automatic Image Cropping
Andrew Hamara, Andrew C. Freeman
Automatic image cropping aims to extract the most visually salient regions while preserving essential composition elements. Traditional saliency-aware cropping methods optimize a s…
Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study
Andrew Hamara, Greg Hamerly, Pablo Rivas +1
Modern chess engines achieve superhuman performance through deep tree search and regressive evaluation, while human players rely on intuition to select candidate moves followed by…
Low-Latency Scalable Streaming for Event-Based Vision
Andrew Hamara, Benjamin Kilpatrick, Alex Baratta +2
Recently, we have witnessed the rise of novel ``event-based'' camera sensors for high-speed, low-power video capture. Rather than recording discrete image frames, these sensors out…
An Open Software Suite for Event-Based Video
Andrew C. Freeman
While traditional video representations are organized around discrete image frames, event-based video is a new paradigm that forgoes image frames altogether. Rather, pixel samples…