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 LXXXIII /
  • 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, 480 p. :ill., digital ;24 cm.
    內容註: LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimation -- Efficient Training with Denoised Neural Weights -- Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning -- Integration of Global and Local Representations for Fine-grained Cross-modal Alignment -- Local and Global Flatness for Federated Domain Generalization -- SRPose: Two-view Relative Pose Estimation with Sparse Keypoints -- Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models -- Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs -- Inf-DiT: Upsampling any-resolution image with memory-efficient diffusion transformer. -- Implicit Neural Models to Extract Heart Rate from Video -- Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering -- PFGS: High Fidelity Point Cloud Rendering via Feature Splatting -- Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation -- E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation -- EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions -- LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement -- Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs -- Efficient Vision Transformers with Partial Attention -- Generalized Coverage for More Robust Low-Budget Active Learning -- Rasterized Edge Gradients: Handling Discontinuities Differentially -- Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment -- FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning -- LLaVA-UHD: an LMM Perceiving any Aspect Ratio and High-Resolution Images -- Learning Natural Consistency Representation for Face Forgery Video Detection -- ZeroI2V: Zero-Cost Adaptation of Pre-Trained Transformers from Image to Video -- Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems -- R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model.
    Contained By: Springer Nature eBook
    標題: Computer vision - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-73010-8
    ISBN: 9783031730108
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