Titlebook: Computer Vision – ECCV 2024; 18th European Confer Aleš Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

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Gorilla

Sonstige Beschwerden und Erkrankungen provide instructions, and the environment where intelligent systems perceive. Despite progress in this field, the robustness of referring perception models (RPMs) against disruptive perturbations is not well explored. This work thoroughly assesses the resilience of RPMs against various perturbation

Synthesize

Grundlagen der Allgemeinmedizinegmentation annotations. Unlike existing unsupervised methods that rely solely on patch-level information (..clustering patch descriptors) or on computation heavy off-the-shelf components for CoSOD, our lightweight model leverages feature correspondences at both patch and region levels, significantl

结构

Grundlagen der Allgemeinmedizinmplicit field supervision. Our technique introduces a strategy that combines non-differentiable computation of hyperplane intersection through duality transform with differentiable optimization for vertex positioning with three-plane intersection, enabling gradient-based optimization without the nee

感激小女

Sonstige Beschwerden und Erkrankungen in object-centric learning methods, learning object-centric representations in the 3D physical world remains a crucial challenge. In this work, we propose ., a novel object-centric radiance model addressing scene reconstruction and decomposition jointly via slot-guided feature lifting. Such a desig

pester

Sonstige Beschwerden und Erkrankungens. In comparison to recent advancements in the 2D domain, grounding language in 3D scenes faces two significant challenges: (i) the scarcity of paired 3D-VL data to support grounded learning of 3D scenes, especially considering complexities within diverse object configurations, rich attributes, and

净礼

Frank H. Mader,Herbert Weißgerberhigh-performance HD map construction models to meet the demand. However, the point sequences generated by recent HD map construction models are jittery or jagged due to prediction bias and impact subsequent tasks. To mitigate this jitter issue, we propose the Anti-Disturbance Map construction framew

Banquet

Frank H. Mader,Herbert Weißgerberrendering speeds with 10–1000 FPS, assuming sufficient GPU resources are available. However, this requirement often hinders their use on low-end devices with limited memory. In response, we propose a groundbreaking paradigm of image representation and compression by 2D Gaussian Splatting, named Gaus

相互影响

Sonstige Beschwerden und Erkrankungenlds such as autonomous driving and virtual reality. However, existing datasets for video segmentation only focus on conventional planar images. To address the challenge, in this paper, we present a panoramic video dataset, ., PanoVOS. The dataset provides 150 videos with high video resolutions and d