LEADER 06532nam 22007455 450 001 9910624384903321 005 20251225201935.0 010 $a9783031197727 010 $a3031197720 024 7 $a10.1007/978-3-031-19772-7 035 $a(MiAaPQ)EBC7127046 035 $a(Au-PeEL)EBL7127046 035 $a(CKB)25208267000041 035 $a(PPN)265855985 035 $a(BIP)86223140 035 $a(BIP)85722188 035 $a(DE-He213)978-3-031-19772-7 035 $a(EXLCZ)9925208267000041 100 $a20221027d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ECCV 2022 $e17th European Conference, Tel Aviv, Israel, October 23?27, 2022, Proceedings, Part IV /$fedited by Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner 205 $a1st ed. 2022. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2022. 215 $a1 online resource (801 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13664 311 08$aPrint version: Avidan, Shai Computer Vision - ECCV 2022 Cham : Springer,c2022 9783031197710 327 $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. 330 $aThe 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23?27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13664 606 $aComputer vision 606 $aApplication software 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aMachine learning 606 $aPattern recognition systems 606 $aComputer Vision 606 $aComputer and Information Systems Applications 606 $aUser Interfaces and Human Computer Interaction 606 $aMachine Learning 606 $aAutomated Pattern Recognition 615 0$aComputer vision. 615 0$aApplication software. 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 0$aMachine learning. 615 0$aPattern recognition systems. 615 14$aComputer Vision. 615 24$aComputer and Information Systems Applications. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aMachine Learning. 615 24$aAutomated Pattern Recognition. 676 $a006.37 676 $a006.37 702 $aAvidan$b Shai 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910624384903321 996 $aComputer Vision ? ECCV 2022$92952264 997 $aUNINA