eSharp: Diffusion-based Sharp Monocular Metric Event-to-Depth Estimation
arXiv:2611.08731v1 Announce Type: cross Abstract: Depth perception is fundamental for autonomous navigation, industrial inspection, and mixed-reality systems. I…
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arXiv:2611.08731v1 Announce Type: cross Abstract: Depth perception is fundamental for autonomous navigation, industrial inspection, and mixed-reality systems. I…
arXiv:2611.08538v1 Announce Type: cross Abstract: Subliminal learning is a phenomenon in large language models (LLMs) where a teacher passes a hidden preference…
arXiv:2611.09854v1 Announce Type: new Abstract: The Global Ecosystem Dynamics Investigation (GEDI) mission measures three-dimensional forest structure with a Li…
arXiv:2611.09845v1 Announce Type: new Abstract: Plug-and-play (PnP) methods reconstruct images by alternating a data-fitting step with an image denoiser. Their …
arXiv:2611.09754v1 Announce Type: new Abstract: Standard computed tomography (CT) reconstruction algorithms such as filtered back projection (FBP) and Feldkamp-…
arXiv:2611.09714v1 Announce Type: new Abstract: Coronary ostia and centerlines are key reference points for automated analysis of coronary computed tomography a…
arXiv:2611.09118v1 Announce Type: new Abstract: This paper proposes a transmitter-side semantic extraction framework for goal-oriented Vehicle-to-Everything (V2…
arXiv:2611.08927v1 Announce Type: new Abstract: Discerning core performance bottlenecks in hyperspectral target detection is highly challenging given the comple…
arXiv:2611.08754v1 Announce Type: new Abstract: No-reference image quality assessment (IQA) of low-dose CT predicts the score that radiologists would assign to …
arXiv:2611.08544v1 Announce Type: new Abstract: This paper presents GenStrain, a novel method for synthesizing high-quality cardiac motion-based strain maps fro…
arXiv:2611.08542v1 Announce Type: new Abstract: Automated mitosis detection is a critical research focus, enabling pathologists to rapidly assess mitotic indice…
arXiv:2611.08540v1 Announce Type: new Abstract: Brain tumour segmentation from magnetic resonance imaging normally assumes that all four imaging sequences are a…
arXiv:2611.08537v1 Announce Type: new Abstract: Supervised deep learning segmentation models, although unparalleled in performance, are not immune to anatomical…
arXiv:2611.08536v1 Announce Type: new Abstract: Whether breast-specific mammographic aging provides information beyond chronological age for future cancer predi…
arXiv:2611.08535v1 Announce Type: new Abstract: Training prostate lesion segmentation models on biparametric MRI (bpMRI) is limited by small datasets with heter…
arXiv:2611.08533v1 Announce Type: new Abstract: Current sea ice mapping benchmarks are mostly built around single-sensor SAR products, limiting the evaluation o…
arXiv:2605.09196v2 Announce Type: replace-cross Abstract: Learning-based simulation of multi-object rigid-body dynamics remains difficult because contact is dis…
arXiv:2611.08994v1 Announce Type: cross Abstract: Ask an image model for your portrait and a finished picture arrives: no first line, no second thoughts, no rec…
arXiv:2611.08645v1 Announce Type: cross Abstract: Understanding building facades is central to urban digital twins, heritage modelling, and sustainable city ana…
arXiv:2611.09693v1 Announce Type: new Abstract: Motion that is plausible on one body can penetrate another after a change in shape, and motion models can produc…