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245 1 0 _aComputer Vision - ECCV 2022
_h[electronic resource] :
_b17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part IV /
_cedited by Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2022.
300 _aLVI, 745 p. 204 illus., 198 illus. in color.
_bonline resource.
336 _atext
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338 _aonline resource
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13664
505 0 _aExpanding 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.
520 _aThe 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23-27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
650 0 _aComputer vision.
_9177582
650 0 _aApplication software.
_9177583
650 0 _aUser interfaces (Computer systems).
_911681
650 0 _aHuman-computer interaction.
_96196
650 0 _aMachine learning.
_91831
650 0 _aPattern recognition systems.
_93953
650 1 4 _aComputer Vision.
_9177584
650 2 4 _aComputer and Information Systems Applications.
_9177585
650 2 4 _aUser Interfaces and Human Computer Interaction.
_931632
650 2 4 _aMachine Learning.
_91831
650 2 4 _aAutomated Pattern Recognition.
_931568
700 1 _aAvidan, Shai.
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700 1 _aBrostow, Gabriel.
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700 1 _aCissé, Moustapha.
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700 1 _aFarinella, Giovanni Maria.
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700 1 _aHassner, Tal.
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