Computer vision - ECCV 2022 = 17th E...
European Conference on Computer Vision (2022 :)

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  • Computer vision - ECCV 2022 = 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.. Part IV /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Computer vision - ECCV 2022/ edited by Shai Avidan ... [et al.].
    Reminder of title: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.
    remainder title: ECCV 2022
    other author: Avidan, Shai.
    corporate name: European Conference on Computer Vision
    Published: Cham :Springer Nature Switzerland : : 2022.,
    Description: lvi, 745 p. :ill., digital ;24 cm.
    [NT 15003449]: Expanding Language-Image Pretrained Models for General Video Recognition -- Hunting Group Clues with Transformers for Social Group Activity Recognition -- Contrastive Positive Mining for Unsupervised 3D Action Representation Learning -- Target-Absent Human Attention -- Uncertainty-Based Spatial-Temporal Attention for Online Action Detection -- Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows -- Rethinking Zero-Shot Action Recognition: Learning from Latent Atomic Actions -- Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection -- Collaborating Domain-Shared and Target-Specific Feature Clustering for Cross-Domain 3D Action Recognition -- Is Appearance Free Action Recognition Possible? -- Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition -- Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization -- Global-Local Motion Transformer for Unsupervised Skeleton-Based Action Learning -- AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition -- Panoramic Human Activity Recognition -- Delving into Details: Synopsis-to-Detail Networks for Video Recognition -- A Generalized & Robust Framework for Timestamp Supervision in Temporal Action Segmentation -- Few-Shot Action Recognition with Hierarchical Matching and Contrastive Learning -- PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens -- Scale-Aware Spatio-Temporal Relation Learning for Video Anomaly Detection -- Compound Prototype Matching for Few-Shot Action Recognition -- Continual 3D Convolutional Neural Networks for Real-Time Processing of Videos -- Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition -- Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection -- Action Quality Assessment with Temporal Parsing Transformer -- Entry-Flipped Transformer for Inference and Prediction of Participant Behavior -- Pairwise Contrastive Learning Network for Action Quality Assessment -- Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos -- ActionFormer: Localizing Moments of Actions with Transformers -- SocialVAE: Human Trajectory Prediction Using Timewise Latents -- Shape Matters: Deformable Patch Attack -- Frequency Domain Model Augmentation for Adversarial Attack -- Prior-Guided Adversarial Initialization for Fast Adversarial Training -- Enhanced Accuracy and Robustness via Multi-Teacher Adversarial Distillation -- LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity -- A Large-Scale Multiple-Objective Method for Black-Box Attack against Object Detection -- GradAuto: Energy-Oriented Attack on Dynamic Neural Networks -- A Spectral View of Randomized Smoothing under Common Corruptions: Benchmarking and Improving Certified Robustness -- Improving Adversarial Robustness of 3D Point Cloud Classification Models -- Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number -- RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN -- Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks.
    Contained By: Springer Nature eBook
    Subject: Computer vision - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-19772-7
    ISBN: 9783031197727
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