8 papers
AsymLoc: Towards Asymmetric Feature Matching for Efficient Visual Localization
Mohammad Omama, Gabriele Berton, Eric Foxlin +1
Precise and real-time visual localization is critical for applications like AR/VR and robotics, especially on resource-constrained edge devices such as smart glasses, where battery…
CompLLM: Compression for Long Context Q&A
Gabriele Berton, Jayakrishnan Unnikrishnan, Son Tran +1
Large Language Models (LLMs) face significant computational challenges when processing long contexts due to the quadratic complexity of self-attention. While soft context compressi…
Are Pretrained Image Matchers Good Enough for SAR-Optical Satellite Registration?
Isaac Corley, Alex Stoken, Gabriele Berton
Cross-modal optical--SAR (Synthetic Aperture Radar) registration is a bottleneck in remote-sensing disaster response. Modern image matchers are developed and benchmarked almost exc…
A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens
Tommie Kerssies, Gabriele Berton, Ju He +5
Anticipating diverse future states is a central challenge in video world modeling. Discriminative world models produce a deterministic prediction that implicitly averages over poss…
AstroLoc: Robust Space to Ground Image Localizer
Gabriele Berton, Alex Stoken, Carlo Masone
Astronauts take thousands of photos of Earth per day from the International Space Station, which, once localized on Earth's surface, are used for a multitude of tasks, ranging from…
MegaLoc: One Retrieval to Place Them All
Gabriele Berton, Carlo Masone
Retrieving images from the same location as a given query is an important component of multiple computer vision tasks, like Visual Place Recognition, Landmark Retrieval, Visual Loc…