AirLab showcases research at the White House Frontiers Conference

AirLab showcases research at the White House Frontiers Conference

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AirLab showcases research at the White House Frontiers Conference

Proud to showcase our latest research to Obama and the White House team at the White House Frontiers Conference.

Latest Research

Co-Me: Confidence-Guided Token Merging for Visual Geometry Transformer
Co-Me: Confidence-Guided Token Merging for Visual Geometry Transformer

Co-Me is an acceleration mechanism that uses a lightweight confidence predictor to selectively me...

Unified Spherical Frontend: Learning Rotation-Equivariant Representations of Spherical Images from Any Camera
Unified Spherical Frontend: Learning Rotation-Equivariant Representations of Spherical Images from Any Camera

A distortion-free lens-agnostic rotation-equivariant vision framework for modern perception

RADSeg: Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models
RADSeg: Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models

RADSeg is a dense, language-aligned feature encoder that enables low-parameter, low-latency open-...