Computer vision - ECCV 2024 = 18th E...
European Conference on Computer Vision (2024 :)

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  • Computer vision - ECCV 2024 = 18th European Conference, Milan, Italy, September 29-October 4, 2024 : proceedings.. Part III /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Computer vision - ECCV 2024/ edited by Aleš Leonardis ... [et al.].
    其他題名: 18th European Conference, Milan, Italy, September 29-October 4, 2024 : proceedings.
    其他題名: ECCV 2024
    其他作者: Leonardis, Aleš.
    團體作者: European Conference on Computer Vision
    出版者: Cham :Springer Nature Switzerland : : 2025.,
    面頁冊數: lxxxv, 471 p. :ill. (chiefly color), digital ;24 cm.
    內容註: Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal -- Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation -- Efficient Few-Shot Action Recognition via Multi-Level Post-Reasoning -- Text2Place: Affordance-aware Text Guided Human Placement -- OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations -- Zero-Shot Multi-Object Scene Completion -- Beta-Tuned Timestep Diffusion Model -- POA: Pre-training Once for Models of All Sizes -- Taming Latent Diffusion Model for Neural Radiance Field Inpainting -- MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation -- ByteEdit: Boost, Comply and Accelerate Generative Image Editing -- ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion -- High-Resolution and Few-shot View Synthesis from Asymmetric Dual-lens Inputs -- Accelerating Image Super-Resolution Networks with Pixel-Level Classification -- LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation -- Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution -- Click-Gaussian: Interactive Segmentation to Any 3D Gaussians -- Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes -- DySeT: a Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction -- Track Everything Everywhere Fast and Robustly -- Towards Open-ended Visual Quality Comparison -- FreeInit: Bridging Initialization Gap in Video Diffusion Models -- DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs -- Eliminating Feature Ambiguity for Few-Shot Segmentation -- Soft Prompt Generation for Domain Generalization -- Shedding More Light on Robust Classifiers under the lens of Energy-based Models.
    Contained By: Springer Nature eBook
    標題: Computer vision - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-72646-0
    ISBN: 9783031726460
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