activity
20162025
most citedCAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions

126 citations · 857 across the 166 of their papers we have counts for

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Showing 2025 · cs.CVShow all

25 papers · 2 filters

cs.CV2025

Visual Autoregressive Modelling for Monocular Depth Estimation

Amir El-Ghoussani, André Kaup, Nassir Navab +2

We propose a monocular depth estimation method based on visual autoregressive (VAR) priors, offering an alternative to diffusion-based approaches. Our method adapts a large-scale t…

cs.CV2025

UnReflectAnything: RGB-Only Highlight Removal by Rendering Synthetic Specular Supervision

Alberto Rota, Mert Kiray, Mert Asim Karaoglu +4

Specular highlights distort appearance, obscure texture, and hinder geometric reasoning in both natural and surgical imagery. We present UnReflectAnything, an RGB-only framework th…

cs.CV2025

Language-Guided Open-World Anomaly Segmentation

Klara Reichard, Nikolas Brasch, Nassir Navab +1

Open-world and anomaly segmentation methods seek to enable autonomous driving systems to detect and segment both known and unknown objects in real-world scenes. However, existing m…

cs.CV2025

SING3R-SLAM: Submap-based Indoor Monocular Gaussian SLAM with 3D Reconstruction Priors

Kunyi Li, Michael Niemeyer, Sen Wang +3

Recent advances in dense 3D reconstruction have demonstrated strong capability in accurately capturing local geometry. However, extending these methods to incremental global recons…

cs.CV2025

RayPose: Ray Bundling Diffusion for Template Views in Unseen 6D Object Pose Estimation

Junwen Huang, Shishir Reddy Vutukur, Peter KT Yu +3

Typical template-based object pose pipelines estimate the pose by retrieving the closest matching template and aligning it with the observed image. However, failure to retrieve the…

cs.CV2025

OracleGS: Grounding Generative Priors for Sparse-View Gaussian Splatting

Atakan Topaloglu, Kunyi Li, Michael Niemeyer +3

Sparse-view novel view synthesis is fundamentally ill-posed due to severe geometric ambiguity. Current methods are caught in a trade-off: regressive models are geometrically faithf…