Computer vision - ECCV 2024 workshop...
European Conference on Computer Vision (2024 :)

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  • Computer vision - ECCV 2024 workshops = Milan, Italy, September 29-October 4, 2024 : proceedings.. Part XIV /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Computer vision - ECCV 2024 workshops/ edited by Alessio Del Bue ... [et al.].
    Reminder of title: Milan, Italy, September 29-October 4, 2024 : proceedings.
    remainder title: ECCV 2024 Workshops
    other author: Del Bue, Alessio.
    corporate name: European Conference on Computer Vision
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: lv, 356 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: AirLetters: An Open Video Dataset of Characters Drawn in the Air. -- RegionGrasp: A Novel Task for Contact Region Controllable Hand Grasp Generation. -- Generative Hierarchical Temporal Transformer for Hand Pose and Action Modeling. -- Adaptive Multi-Modal Control of Digital Human Hand Synthesis Using a Region-Aware Cycle Loss. -- Conditional Hand Image Generation using Latent Space Supervision in Random Variable Variational Autoencoders. -- ChildPlay-Hand: A Dataset of Hand Manipulations in the Wild. -- EMAG: Ego-motion Aware and Generalizable 2D Hand Forecasting from Egocentric Videos. -- Disentangling Planning, Driving and Rendering for Photorealistic Avatar Agents. -- RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images. -- A Biologically-inspired Approach to Biomedical Image Segmentation. -- Human-based Low-Level Visual Processing Neural Network for Image Segmentation. -- Glia Cell Inspired Reinforcement Learning Agent for Neural Network Optimization. -- Growing Deep Neural Network Considering with Similarity between Neurons. -- Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning. -- Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation. -- What makes a face look like a hat: Decoupling low-level and high-level visual properties with image triplets. -- ScanDDM: Generalised Zero-Shot Neuro-Dynamical Modelling of GoalDirected Attention. -- Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG. -- Online Learning via Memory: Retrieval-Augmented Detector Adaptation. -- AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction. -- Accuracy Improvement of Cell Image Segmentation Using Feedback Former. -- Variable resolution improves visual question answering under a limited pixel budget. -- MOSAIC: Skeleton-based human motion recognition with compositional representations. -- Adapting Large Language Model for Cross-Subject Semantic Decoding from Video-Stimulated fMRI. -- A System 1 and System 2 Perspective on Continual Learning for Practical Implementation. -- Connectivity-Inspired Network for Context-Aware Recognition. -- Generalizability analysis of deep learning predictions of human brain responses to augmented and semantically novel visual stimuli.
    Contained By: Springer Nature eBook
    Subject: Computer vision - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-91578-9
    ISBN: 9783031915789
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