From the 8 of 272 papers with an AI index.
159 citations
- SLAC National Accelerator LaboratoryUS62 papers
- University of ChicagoUS51 papers
- Centre National de la Recherche ScientifiqueFR36 papers
- University College LondonGB36 papers
- University of California SystemUS36 papers
- University of TorontoCA35 papers
- University of MichiganUS34 papers
- Institució Catalana de Recerca i Estudis AvançatsES33 papers
- Université Paris CitéFR33 papers
- Université Paris-SaclayFR33 papers
- University of CambridgeGB33 papers
- University of WashingtonUS33 papers
7 papers · 1 filter
CalibBEV: LiDAR-Camera Calibration via BEV Alignment
Filippo D'Addeo, Lorenzo Cipelli, Adriano Cardace +3
We present CalibBEV, a novel Bird's Eye View (BEV) alignment approach for LiDAR-camera calibration. Our method unifies LiDAR and camera data into a shared 3D spatial representation…
NeuroQA: A Large-Scale Image-Grounded Benchmark for 3D Brain MRI Understanding
Mohammad H. Abbasi, Favour Nerrise, Shaurnav Ghosh +12
We present NeuroQA, a large-scale benchmark for visual question answering in 3D brain magnetic resonance imaging (MRI), with 56,953 QA pairs from 12,977 subjects across 12 datasets…
GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models
Favour Nerrise, Lucy Yin, Mohammad H. Abbasi +2
Brain MRI foundation models learn rich representations of anatomy, but interpreting what clinical information they encode remains an open problem. Standard sparse autoencoders (SAE…
UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors
Houyuan Chen, Hong Li, Xianghao Kong +8
Recent progress has shown that video diffusion models (VDMs) can be repurposed for diverse multimodal graphics tasks. However, existing methods often train separate models for each…
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction
Sara Fridovich-Keil, Fabrizio Valdivia, Gordon Wetzstein +2
In computed tomography (CT), the forward model consists of a linear Radon transform followed by an exponential nonlinearity based on the attenuation of light according to the Beer-…
Latent diffusion models for parameterization and data assimilation of facies-based geomodels
Guido Di Federico, Louis J. Durlofsky
Geological parameterization entails the representation of a geomodel using a small set of latent variables and a mapping from these variables to grid-block properties such as poros…