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

無孔

,A Direct Approach to?Viewing Graph Solvability,its usefulness in understanding real structure from motion graphs; we propose an algorithm for testing infinitesimal solvability?and extracting components of unsolvable cases, that is more efficient than previous work; we set up an open question on the connection between infinitesimal solvability?and solvability.

Canopy

關(guān)節(jié)炎

Uncultured

新手

, FunQA: Towards Surprising Video Comprehension,a response to visual stimuli; rather, it hinges on the human capacity to understand (and appreciate) commonsense violations depicted in these videos. We introduce ., a challenging video question answering (QA) dataset specifically designed to evaluate and enhance the depth of video reasoning based o

Aspirin

4D Contrastive Superflows are Dense 3D Representation Learners,a process that is both costly and labor-intensive. To address this challenge from a data representation learning perspective, we introduce ., a novel framework designed to harness consecutive LiDAR-camera pairs for establishing spatiotemporal pretraining objectives. SuperFlow stands out by integrati

滑動

,ItTakesTwo: Leveraging Peer Representations for?Semi-supervised LiDAR Semantic Segmentation,velopment of semi-supervised learning (SSL) methods. However, such SSL approaches often concentrate on employing consistency learning only for individual LiDAR representations. This narrow focus results in limited perturbations that generally fail to enable effective consistency learning. Additional

楓樹

pulse-pressure

,Robust Fitting on?a?Gate Quantum Computer,ial time. Computer vision researchers have long been attracted to the power of quantum computers. Robust fitting, which is fundamentally important to many computer vision pipelines, has recently been shown to be amenable to gate quantum computing. The previous proposed solution was to compute Boolea

PLE

,H-V2X: A Large Scale Highway Dataset for?BEV Perception,ts. However, these datasets primarily focus on urban intersections and lack data on highway scenarios. Additionally, the perception tasks in the datasets are mainly MONO 3D due to limited synchronized data across multiple sensors. To bridge this gap, we propose Highway-V2X (H-V2X), the first large-s